Editing a -globin repressor binding site restores fetal hemoglobin synthesis and corrects the sickle cell disease phenotype – Science Advances

INTRODUCTION

-Hemoglobinopathies (SCD and -thalassemia) are severe anemias characterized by abnormal or reduced production of hemoglobin (Hb) chains. SCD and -thalassemia are the most common monogenic disorders with an incidence of 1 per 318,000 live births worldwide. In -thalassemia, the reduced production of chains causes -globin precipitation and insufficiently hemoglobinized red blood cells (RBCs). In SCD, the 6GluVal substitution leads to Hb polymerization and RBC sickling, which is responsible for vaso-occlusive crises, hemolytic anemia, and organ damage.

Allogeneic hematopoietic stem cell (HSC) transplantation is the only definitive cure for patients affected by SCD or -thalassemia. Transplantation of autologous, genetically modified HSCs represents a promising therapeutic option for patient lacking a compatible HSC donor (1). Pioneering clinical trials based on lentiviral (LV)based gene addition approaches demonstrated a clinical benefit in -thalassemic patients with residual -globin production (+-thalassemia). However, this treatment is, at best, partially effective in correcting the clinical phenotype of severe 0-thalassemia (no residual -globin production) and SCD patients, where higher levels of therapeutic globin are required to restore correct globin chain balance and inhibit HbS polymerization (26).

The clinical severity of -hemoglobinopathies is alleviated by the co-inheritance of genetic mutations causing a sustained fetal -globin chain production at adult age, a condition termed hereditary persistence of fetal Hb (HPFH) (7). Elevated fetal -globin levels reduce globin chain imbalance in -thalassemias and exert a potent anti-sickling effect in SCD. Compared with current LV-based gene addition approaches, therapeutic strategies aimed at forcing a -globinto-globin switch (8) have the advantage of guaranteeing high-level expression of the endogenous -globin genes and, in the case of SCD, reduction of the S-globin synthesis.

HPFH mutations and single-nucleotide polymorphisms (SNPs) associated with HbF levels of up to 40% of the total Hb were identified at positions 200, 175, 158, and 115 upstream of the HBG1 and HBG2 transcription start sites (TSSs) (Fig. 1A). These mutations either generate de novo DNA motifs recognized by transcriptional activators (9, 10) or disrupt the binding sites for transcriptional repressors. In particular, HPFH mutations in the 200 and 115 regions reduce the binding of LRF and BCL11A transcriptional repressors, respectively, thus inhibiting -globin silencing (11, 12). In addition, SNPs at position 158 of both HBG -globin promoters are associated with enhanced -globin expression (1317). These SNPs might either identify a putative transcriptional repressor binding site or create a binding site for a transcriptional activator. An ideal and universal strategy to correct the clinical phenotype of patients with -hemoglobinopathies would be to introduce HPFH mutations in the -globin promoters via homology-directed repair (11), which, however, is inefficient in HSCs (18). Here, we mimicked HPFH mutations by disrupting known or putative binding sites for transcriptional repressors in the -globin promoters using a CRISPR-Cas9based genome editing strategy that takes advantage of the nonhomologous end joining (NHEJ) and microhomology (MH)mediated end joining (MMEJ)mediated DNA repair mechanisms to induce insertions and deletions (InDels) within the -globin repressor DNA binding motifs. In particular, we show that efficient disruption of known (200) or putative (158) binding sites via CRISPR-Cas9 leads to HbF derepression and thus mimics the effect of HPFH mutations and SNPs in erythroid cell lines and in RBCs derived from SCD patients hematopoietic stem/progenitor cells (HSPCs). Targeting the LRF-binding site corrects the SCD cell phenotype and is effective in repopulating HSPCs.

(A) Schematic representation of the -globin locus on chromosome 11, depicting the hypersensitive sites of the locus control region (white boxes) and the HBE1, HBG2, HBG1, HBD, and HBB genes (colored boxes). The sequence of the HBG2 and HBG1 identical promoters (from 210 to 100 nucleotides upstream of the HBG TSS) is shown below. Black arrows indicate HPFH mutations described at HBG1 and/or HBG2 promoters, with the percentage of HbF in heterozygous carriers of HPFH mutations (42). The highest HbF levels were generally observed in individuals carrying SCD (*) or -thalassemia mutations (**). LRF- and BCL11A-binding sites [as described in (11)] are highlighted by orange and green boxes, respectively. The 114/102 13-bp HPFH deletion is indicated by an empty box. Red arrows indicate the gRNA cleavage sites. (B to E) Globin expression analyses were performed in mature erythroblasts differentiated from Cas9-GFP+ HUDEP-2 cells. Results are shown as means SEM of three to four independent experiments. (B) RT-qPCR quantification of (G + A)- and -globin transcripts. mRNA levels were expressed as percentage of ( + ) globins, after normalization to -globin mRNA levels. (C) Representative flow cytometry plots showing the percentage of HbF+ cells. (D) RP-HPLC analysis of globin chains. -Like globin expression was normalized to -globin. Representative RP-HPLC chromatograms are reported together with the expression of -globin chains (in brackets). The ratio of chains to non chains was similar between HBG-edited and control samples. (E) ChIP-qPCR analysis of H3K27Ac at HBB and HBG promoters in 197-edited HUDEP-2 cells and control AAVS1edited samples (day 5 of differentiation, n = 3). ChIP was performed using an antibody against H3K27Ac and the corresponding control immunoglobulin G (IgG). ****P 0.0001, ***P 0.001, **P 0.01, and *P 0.05 (unpaired t test). SSC, side scatter. (F) ChIP-qPCR analysis of LRF at HBG promoters in 197-edited and control AAVS1edited K562 cells (n = 2 biologically independent experiments). ChIP was performed using an antibody against LRF. Two different primer pairs were used to amplify the HBG promoters (A and B). KLF1 and DEFB122 served as positive and negative controls, respectively.

We designed guide RNAs (gRNAs) targeting the 200 LRF-binding site (197, 196, and 195) and the 158 region (158, 152, and 151) (Fig. 1A). In parallel, we used a gRNA targeting the 115 region (115) that was reported to induce HbF reactivation by generating a 13base pair (bp) deletion spanning the BCL11A-binding site (19) and a control gRNA targeting the unrelated AAVS1 locus. Plasmid delivery of individual gRNAs and a Cas9green fluorescent protein (GFP) fusion in the erythroleukemia cell line K562 revealed a similar editing efficiency for the gRNAs targeting the 200 region, whereas the 158 gRNA showed the highest editing efficiency at the 158 region. High cleavage efficiency was also observed for the 115 and AAVS1 gRNAs (fig. S1A).

We next used the HUDEP-2 adult erythroid cell line to evaluate -globin derepression following disruption of the 200, 158, and 115 regions. After plasmid transfection, bulk populations of Cas9-GFP+ HUDEP-2 cells were differentiated into mature erythroblasts. Overall, genome editing efficiency was ~80% for all the gRNAs tested, with the exception of the 158 gRNA (50 4%; fig. S1B). The editing frequency was similar at days 0 and 9 of erythroid differentiation, thus showing that edited cells were not counterselected during erythroid maturation (fig. S1B). The presence of a 158 C>T heterozygous SNP in the HBG2 promoter resulted in a reduced editing of HBG2 compared to HBG1 with the gRNA 158 (40 6% versus 68 1%; fig. S1C). Similar editing frequencies at the HBG1 and HBG2 promoters were observed with the other gRNAs (fig. S1C). Deep sequencing analysis revealed that virtually all the editing events altered the LRF- and BCL11A-binding sites in 200 and 115 edited samples, respectively, mostly through small deletions (fig. S1D). In a fraction of -globin loci, simultaneous cleavage of the HBG promoters resulted in the deletion of the intervening 4.9-kb genomic region and loss of the HBG2 gene, with a frequency ranging from 9 1% to 16 3% (fig. S1E).

Editing of the HBG promoters did not alter erythroid cell differentiation, as assessed by morphological analysis, and flow cytometry and reverse transcription quantitative polymerase chain reaction (RT-qPCR) analysis of erythroid markers (fig. S2, A to C). Disruption of the 200 region increased the production of -globin transcripts and a parallel decrease of adult -globin and -globin mRNA synthesis (Fig. 1B and fig. S2D). Similar changes were observed upon targeting the 115 region, while a lower -globin reactivation was observed upon targeting the 158 region (Fig. 1B and fig. S2D). -Globin mRNA levels were not significantly different among HBG-edited and control samples (fig. S2D). Flow cytometric analysis of cells edited at 197, 196, and 195 positions revealed a high frequency of HbF-expressing cells (F cells) (79 1%, 71 1%, and 78 1%). Similar results were obtained by disrupting the 115 region (71 3%), while a lower percentage of F cells (43 5%) was obtained in the 158 edited samples (Fig. 1C). Reversed-phase high-performance liquid chromatography (RP-HPLC) confirmed the significant increase in -globin with concomitant decrease of -globin production following editing of the 200 and the 115 regions, while 158 edited cells displayed a milder increase in -globin levels (Fig. 1D). Targeting the LRF-binding site resulted in high HbF levels, accounting for up to 28 1% of the total Hb in 197 samples, as determined by cation-exchange HPLC (CE-HPLC). Cells edited with the 115 gRNA showed comparable HbF reactivation (24 3%), while 158 edited cells showed HbF levels of only 5 2% (fig. S2E). HbF mainly contained A (HBG1) rather than G (HBG2) chains, which could be explained by loss of HBG2 caused by the 4.9-kb deletion (fig. S2F). Moreover, cells carrying the 4.9-kb deletion may reactivate more potently -globin expression, as the HBG1-HBG2 intervening sequence might contain cis regulatory elements that repress HBG transcription. HBG-edited HUDEP-2 showed a normal chain/non chain ratio, indicating that the increased production of -globin chains compensated for the reduction of -globin synthesis (Fig. 1D).

Disruption of the LRF-binding site at both HBG promoters was associated with increased H3K27 acetylation (H3K27Ac), a marker of active regulatory elements (Fig. 1E). Concomitantly, H3K27Ac tended to be reduced at the HBB gene in 197 edited cells compared to control samples (Fig. 1E). As LRF binding cannot be detected at the HBG promoters in wild-type HUDEP-2 cells expressing low HbF levels (11), we evaluated LRF binding in HbF+ K562 edited using the 197 gRNA (66% of editing efficiency) or the AAVS1 control gRNA (72% of editing efficiency). Chromatin immunoprecipitation (ChIP)qPCR experiments showed a twofold reduction in LRF binding in 200-edited cells.

To test the anti-sickling properties of induced -globin synthesis in a clinically relevant model, we edited the -globin repressor binding sites in CD34+ HSPCs obtained from SCD patients by plerixafor mobilization (20). We first optimized a selection-free, ribonucleoprotein (RNP)based protocol (21) to efficiently edit the HBG promoters in CD34+ HSPCs. The use of chemically modified single gRNAs in combination with a transfection enhancer oligonucleotide resulted in the editing of up to 75% of the alleles using the gRNAs targeting the 200 region (fig. S3A). SCD HSPCs were then transfected with RNP complexes containing either the gRNAs targeting the HBG promoters or the control AAVS1 gRNA. Following erythroid differentiation, genome editing efficiency in bulk populations of mature erythroblasts achieved values of 80% in cells transfected with 197, 196, 195, and 115 gRNAs (Fig. 2A and fig. S3B). Editing frequency with the 158 gRNA was variable because of the presence of the C>T SNP at that position in a fraction of the SCD donors (Fig. 2A and fig. S3B). Genome editing efficiency was similar between the HBG2 and HBG1 promoters, except for samples harboring the 158 SNP and treated with the 158 gRNA (fig. S3B). Of note, the deletion of the 4.9-kb intervening region between HBG2 and HBG1 promoters was not detected in any of the edited primary samples (fig. S3C). This discrepancy between deletion efficiency in HUDEP-2 and HSPCs was also observed in previous studies targeting the 115 region (19, 22) and might be ascribed to a higher expression of the CRISPR-Cas9 system in HUDEP-2 cells [transfected with plasmids and FACS (fluorescence-activated cell sorting)sorted on the basis of Cas9-GFP expression] that favors the simultaneous cleavage of the HBG promoters (23). However, we cannot exclude that transformed cell lines might be more prone to illegitimate repair and can cope easily with large deletions.

(A) Deep sequencing analysis of genome editing events in mature erythroblasts derived from adult SCD and CB healthy donor HSPCs. The InDel profile was unchanged between SCD and healthy donor cells. Frequencies of substitutions (subst), insertions (ins), and deletions (del) are shown as percentages of total InDels. The proportion of >1-bp deletions associated or not with MH motifs is indicated. The frequency of >1-bp deletions associated with MH motifs was significantly lower for the 196 gRNA compared to the 197 (P 0.01) and 195 (P 0.001) gRNAs. Data are expressed as means SEM (n = 3 to 4, two to three donors). (B) Genome editing efficiency in BFU-E and CFU-GM progenitors derived from edited SCD HSPCs as evaluated by TIDE. Data are expressed as means SEM (n = 2 to 5, two SCD donors). (C) Genome editing in single BFU-E and CFU-GM colonies derived from SCD HSPCs as evaluated by TIDE. We plotted the number of edited HBG promoters. In the 158 sample, the donor did not harbor the 158 SNP. (D) InDel profiles generated by each gRNA as analyzed by deep sequencing. The length of MH motifs associated with specific InDels is indicated. Data are expressed as means SEM (n = 3 to 4, two to three donors). (E) Genome editing efficiency in subpopulations of 197- and 196-edited CB-derived HSPCs. Cells were FACS-sorted based on the expression of CD34, CD133, and CD90, and genome editing efficiency was determined in committed (CD34+CD133), early (CD34+CD133+CD90), and primitive (CD34+CD133+CD90+) progenitors. We plotted the data of three independent experiments starting from unsorted HSPCs with low, medium, and high genome editing efficiency (three donors).

Control and edited SCD HSPCs were plated in clonogenic cultures [colony-forming cell (CFC) assay], allowing the growth of erythroid [burst-forming uniterythroid (BFU-E)] and granulomonocytic [colony-forming unitgranulomonocytic (CFU-GM)] progenitors. Genome editing efficiency was comparable in pools of BFU-Es and CFU-GMs that showed a similar InDel profile (Fig. 2B and fig. S3D). Clonal analysis of single CFCs revealed that >85% of hematopoietic progenitors were edited at the target sites, with ~86 and ~67% of BFU-Es and CFU-GMs, respectively, displaying 3 edited HBG promoters (Fig. 2C). Transfection with the full RNP complex reduced the number of hematopoietic progenitors by 10 to 50% compared to transfection of Cas9 protein alone (fig. S3E).

Previous reports have suggested that HSCs, the target of therapeutic genome editing, are preferentially edited via the NHEJ mechanism (24, 25). On the contrary, MMEJ repair pathway, which takes place through annealing of short stretches of identical sequence flanking the double-strand break (DSB), may be less active (24, 25). Therefore, for each gRNA, we evaluated the frequency of mutations with or without MH motifs as a proxy for the relative contribution of MMEJ- and NHEJ-mediated events. In HSPC-derived erythroid bulk populations, among the editing events, deletions were predominant, and a variable fraction of them (30 to 50%) were associated with the presence of MH motifs in the target sequence (Fig. 2A). In particular, MMEJ events at the LRF-binding site can be likely caused by the presence of two stretches of four cytidines (Fig. 1A and table S1). Among the total InDels, the frequency of events associated with MH motifs was significantly higher for the 197 (38 3%) and 195 (32 1%) gRNAs than for the 196 gRNAs (23 1%). The gRNAs targeting the LRF-binding site induced distinct InDel profiles: 196- and 195-edited cells harbored mainly 1-bp insertions and 1- to 2-bp deletions, while the 197 gRNAs generated the largest fraction of >2-bp deletion events, of which ~45% were associated with MH motifs (Fig. 2D and table S1). Virtually all the editing events generated by the 197, 196, and 195 gRNAs disrupted the LRF-binding site (table S1). Of note, the proportion of nucleotides in the LRF-binding site that were lost as a result of editing was higher in 197 than in 196 and 195 samples (fig. S4). As expected, the 115 gRNA caused disruption of the BCL11A-binding site (19). In these samples, 13-bp deletions partially spanning the BCL11A-binding site were associated with an 8-bp MH motif and likely mediated by MMEJ (fig. S4 and table S1) (19). Last, the 158 gRNA generated mostly 1-bp insertions and small deletions around the cleavage site (Fig. 2D, fig. S4, and table S1). To evaluate CRISPR-Cas9mediated genetic modification of the CD34+ cell fraction containing more primitive HSPCs, HBG promoter editing was assessed in FACS-isolated HSPC subpopulations (26), after transfection of the 197 and 196 gRNAs, associated with high and low frequencies of deletions associated with MH motifs, respectively. Editing frequencies were comparable between primitive CD34+/CD133+/CD90+ and early CD34+/CD133+/CD90 progenitors and between CD34+/CD133 committed progenitors and unsorted CD34+ cells even in the case of a limited genome editing efficiency, with a similar InDel profile across the different CD34+ cell subpopulations (Fig. 2E and fig. S5). It is noteworthy that deletions potentially generated via MMEJ occurred even in the more primitive, HSC-enriched populations (fig. S5).

To evaluate HbF reactivation and correction of the SCD cell phenotype upon HBG promoter editing, bulk populations of SCD HSPCs were terminally differentiated into enucleated RBCs. Editing of the HBG promoters did not affect erythroid differentiation, as evaluated by flow cytometry and RT-qPCR analysis of stage-specific erythroid markers and RBC enucleation and by morphological analysis (fig. S6, A to C). Editing of the 200 region led to increased levels of -globin mRNAs, which accounted for 48 3% of total -like globin transcripts in cells transfected with the 197 gRNA (Fig. 3A). -Globin mRNA levels were not significantly different among HBG-edited and control samples (fig. S6D). The proportion of F cells in cells transfected with the 197, 196, and 195 gRNAs was 81 1%, 74 2%, and 74 2%, respectively (Fig. 3B). Analysis of 197- and 196-edited erythroblasts sorted by cytofluorimetry based on the intensity of HbF expression revealed a positive correlation between InDel frequency and extent of -globin production, indicating that the efficacy of HbF reactivation likely increases when targeting a higher number of HBG promoters per cell (fig. S6, E and F). Editing of the 115 region led to HBG derepression and a proportion of 80 2% of F cells, while -globin reactivation was less pronounced in the 158 samples (55 5% of F cells; Fig. 3, A and B). It is noteworthy that for the 158 gRNA, HBG derepression was still modest in RBCs derived from HSPCs harboring >85% of edited HBG promoters (Fig. 3, A and B), suggesting that the 158 region contains a sequence that modestly contributes to inhibition of -globin expression in adult cells. This is consistent with the mild increase in HbF known to be associated with the 158 SNPs. However, an alternative hypothesis is that these SNPs generate a DNA motif recognized by a still unknown transcriptional activator; thus, the mechanism of action remains unclear. RP-HPLC showed a significant increase in -globin chain expression and a reciprocal reduction in S-globin levels in the RBC progeny of 200- and 115-edited HSPCs, with no evidence of imbalance in the /non globin chain synthesis (Fig. 3C). In 197-edited cells, the increase in -globin chains and the reduction of S-globin levels resulted in an inversion of the / globin ratio. Comparable A- and G-globin levels were detected in most of the samples analyzed, consistent with the absence of 4.9-kb deletions. However, in 115-edited cells, HbF was mainly composed of A-globin (fig. S6G). Unexpectedly, in the 115 samples, the relative frequency of the various editing events was different between HBG1 and HBG2 promoters, with 13-bp deletions occurring more frequently in HBG2 than in HBG1, while HBG1 editing events were mainly smaller deletions (table S2). This difference in the editing of HBG1 and HBG2 was unexpected and does not obviously explain the altered A/G ratio in 115-edited samples. CE-HPLC confirmed that editing of the 200 region produced an Hb profile comparable to asymptomatic heterozygous carriers, with HbF representing up to 47 3% of the total Hb tetramers (197 samples; Fig. 3D). Total Hb levels were comparable between RBCs derived from HBG-edited and control HSPCs (fig. S6H).

(A) (G + A)- and S-globin transcript levels detected by RT-qPCR in primary mature erythroblasts. Values are expressed as percentage of ( + S)-globin mRNAs after normalization to -globin. (B) Representative flow cytometry plots showing the percentage of HbF+ cells in RBC populations derived from control and HBG-edited SCD HSPCs. (C) RP-HPLC quantification of -, S-, and -globin chains. -Like globin expression was normalized to -globin. The ratio of chains to non chains was similar between control and HBG-edited samples. Data are expressed as means SEM. (D) Quantification of total HbF (HbF + AcHbF), HbS, and HbA2 by CE-HPLC. We plotted the percentage of each Hb type over the total Hb tetramers. (E and F) In vitro sickling assay of RBCs derived from edited SCD HSPCs under hypoxic conditions (0% O2). (E) Representative photomicrographs of RBCs derived from control and HBG-edited SCD HSPCs at 0% O2. Scale bar, 20 m. (F) Proportion of non-sickled RBCs (0% O2). (A to F) Data are expressed as means SEM (n = 3 to 7, two SCD donors). ****P 0.0001, ***P 0.001, **P 0.01, and *P 0.05 versus AAVS1 sample (unpaired t test).

To assess the effect of HbF reactivation on the sickling phenotype, we performed an in vitro deoxygenation assay that induces sickling of RBCs under hypoxia. At an oxygen concentration of 0%, ~80% of control SCD RBCs acquired a sickled shape (Fig. 3, E and F). Targeting of the 158 region essentially failed to rescue the SCD phenotype (29 13% of nonsickling RBCs; Fig. 3F). In 115-edited samples, HbF reactivation prevented the sickling of 56 9% of RBCs (Fig. 3F). A marked correction of the SCD phenotype was achieved upon disruption of the LRF-binding site, with 69 6% (196) to 79 7% (197) of cells that maintained a biconcave shape under hypoxia (Fig. 3F). Even gRNAs generating predominantly 1- to 2-bp InDels (195 and 196) induced -globin levels that were sufficient to inhibit sickling in a large fraction of RBCs. These results show that editing of the repressor binding sites in the HBG promoters leads to reactivation of HbF sufficient to revert the sickling phenotypes in erythrocytes differentiated from CD34+ HSPCs derived from SCD patients.

Last, in bulk populations of edited SCD erythroblasts, deep sequencing of top-scoring off-targets identified by GUIDE-seq (27) in 293T cells (fig. S7A) showed low to undetectable off-target activity at most of the sites. An average InDel frequency of ~20% was observed in cells edited with the 196 gRNA within an intergenic site located on chromosome 12 (OT-196.1) (fig. S7B). This site lies ~15-kb away from the nearest gene and does not map to known regulatory elements involved in hematopoiesis.

We next evaluated editing efficiency in repopulating HSPCs. Mobilized healthy donor HSPCs were transfected with 197, 196, 115, or AAVS1 gRNAs. We achieved an average editing efficiency of 77.3 3.7%, 87.4 4.6%, and 89.6 2.8% for the 197, 196, 115 gRNAs, respectively, as measured in in vitro cultured HSPCs, and BFU-E and CFU-GM pools (input cells). Untreated and edited cells were injected into NSG immunodeficient mice, and 16 weeks after transplantation, we analyzed the engraftment of human hematopoietic cells and editing efficiency. The engraftment of control and HBG-edited cells was not statistically different, as analyzed in bone marrow, spleen, and thymus (Fig. 4A), with no skewing toward a particular lineage in any of the samples (fig. S8). Editing efficiency in human cells in the bone marrow and spleen, respectively, was 43.0 9.3% and 33.4 4.0% (197), 60.3 6.1% and 62.0 1.7% (196), and 47.6 4.2% and 58.2 3.1% (115) (Fig. 4B). The 197 gRNA showed a similar InDel profile in the input and in the engrafted human cells, with most of MH motifassociated events occurring at a comparable frequency (Fig. 4C). For the 196 gRNA, events associated to MH motifs were significantly reduced in vivo but were already present at a low frequency in the input populations (Fig. 4C) concordantly with the data obtained in mature erythroblasts in vitro (Fig. 2D). Virtually all editing events disrupt the LRF-binding sites in 197 and 196 samples (Fig. 4C). Last, the frequency of the MH motifassociated 13-bp deletion tended to be lower in the progeny of repopulating HSPCs compared to the input samples, as previously reported (Fig. 4C) (24). Together, these results show that the LRF-binding site can be efficiently targeted in engrafting HSPCs.

(A) Engraftment of human cells in NSG mice transplanted with untreated (UT) and edited mobilized healthy donor CD34+ cells (n = 4 mice for each group) 16 weeks after transplantation. Engraftment is represented as percentage of human CD45+ cells in the total murine and human CD45+ cell population, in bone marrow (BM), spleen, thymus, and blood. Values shown are means SEM; *P 0.05 versus untreated [one-way analysis of variance (ANOVA)]. (B) Editing efficiency in the bone marrow and spleen-derived human CD45+ progeny of repopulating HSPCs, as evaluated by Sanger sequencing and TIDE analysis. The proportion of edited alleles in the input HSPC populations (: HSPCs cultured for 6 days in HSPC medium; : BFU-E; : CFU-GM) is indicated (input). Values shown are means SEM. Each data point represents an individual mouse. (C) Genome editing efficiency in the input populations and in bone marrow and spleen-derived human CD45+ populations edited with the 197, 196, or 115 gRNAs, as evaluated by Sanger sequencing and TIDE analysis. The main events associated with MH-motifs are indicated. Values shown are means SEM (n = 4 mice per group). ***P 0.001, **P 0.01, and *P 0.05 versus input (unpaired t test).

Therapeutic approaches aimed at increasing HbF levels could rely on the down-regulation of nuclear factors involved in -globin silencing. However, knockdown of the transcriptional repressor LRF increases HbF expression but delays erythroid differentiation (28). Here, we used a CRISPR-Cas9 strategy to disrupt the cis regulatory element involved in LRF-mediated fetal globin silencing and mimic the effect of HPFH mutations. By using three different gRNAs targeting the LRF-binding site, we achieved a robust, virtually pancellular HbF reactivation and a concomitant reduction in S-globin levels, recapitulating the phenotype of asymptomatic SCD-HPFH patients (29, 30). Notably, a proportion of HbF >30% in 70% of RBCs has been proposed as the minimal requirement to inhibit HbS polymerization and mitigate the clinical SCD manifestations (30). RBCs derived from edited HSPCs displayed HbF levels sufficient to significantly ameliorate the SCD cell phenotype. It is noteworthy that this approach can potentially be applied also to -thalassemias, where elevated fetal -globin levels could compensate for -globin deficiency.

The development of a selection-free, optimized editing protocol allowed us to obtain a high editing frequency at the LRF-binding site in primary human HSPCs and in HSC-enriched cell populations, which, unexpectedly, showed editing events potentially generated by both NHEJ and MMEJ. However, similarly to the homology-directed repair mechanism (18) [used to correct disease-causing mutations (3133)], the MMEJ repair pathway occurs in actively dividing cells (34). Therefore, we could not exclude that MMEJ might not be efficient in the quiescent repopulating HSCs (24, 25). Xenotransplantation of HSPCs edited using the gRNAs targeting the LRF- or the BCL11A-binding sites demonstrated a high editing efficiency in repopulating HSPCs and no impairment of their multilineage potential. Similarly to recent studies (24, 35), we observed the persistence in vivo of the 13-bp deletion in the 115 region (although at a lower frequency compared to in vitro cultured HSPCs), which is predicted to be mediated by MMEJ. Upon targeting of the BCL11A enhancer, Wu and colleagues (25) observed a stronger reduction in the frequency of editing events possibly due to MMEJ. In our study, upon targeting of the 200 region, some, but not all, deletions associated with MH motifs and potentially generated via MMEJ were detected at a significantly lower frequency in engrafting HSPCs compared to in vitro cultured HSPCs. Together, these studies suggest that, although at a lower frequency compared to in vitro cultured hematopoietic progenitors, MMEJ can occur in vivo in repopulating HSPCs, in which, however, NHEJ is likely the most active repair pathway. However, as MH motifassociated editing events are only computationally predicted to be due to MMEJ, we cannot exclude that a fraction of these events are caused by NHEJ and therefore can occur in repopulating HSPCs.

It is noteworthy that larger deletions typically generated by the 197 edits and associated with an efficient disruption of the LRF-binding sites occur also in vivo. Moreover, even short InDels generated mainly by NHEJ (e.g., 196 gRNA) and detected in repopulating HSPCs are productive in terms of HbF derepression and correction of the SCD cell phenotype. Together, these results show that this strategy can be effective in engrafting HSPCs.

Should the observed editing frequency be confirmed in vivo in patients, this approach would guarantee the efficiency required to achieve clinical benefit in SCD and -thalassemia. The clinical history of allogeneic HSC transplantation for both diseases suggests that a limited fraction of genetically corrected HSCs would be sufficient to achieve a therapeutic benefit given the in vivo selective survival of corrected RBCs or erythroid precursors (3641).

Disrupting either the LRF- or the BCL11A-binding site in the HBG promoters induced significant HbF production. Given the independent role of LRF and BCL11A in -globin repression (28), combined strategies aimed at evicting simultaneously both repressors from the -globin promoters could have an additive effect on HbF reactivation. Albeit a Cas9-nucleasebased strategy targeting both the 115 and 200 regions would probably trigger the deletion of the 115-to-200 intervening sequence [that would be detrimental for promoter activity; (42)], this study paves the way for the use of novel DSB-free editing strategies [e.g., base editing (43)] to simultaneously disrupt both LRF and BCL11A repressor binding sites in the -globin promoters.

Overall, our study provides proof of concept for a novel approach to treat SCD by targeting a repressor binding site in the -globin promoters to induce derepression of fetal Hb and a concomitant decrease in HbS synthesis. The same strategy could be beneficial also in the case of -thalassemia, potentially providing a more economical gene therapy approach compared to the use of LV vectors to deliver a functional -globin gene. LV manufacturing is complex and very expensive (44). Our genome editing approach requires the delivery of RNA/protein reagents that might be less expensive than LV production and thus would allow the broader use of gene therapy for -hemoglobinopathies.

Clinical translation of this genome editing approach requires the development of nontoxic large-scale transfection protocols based on clinical-grade reagents and demonstration of precise editing in a number of HSPCs at least comparable to the efficacious doses predicted by allogeneic transplantation data (i.e., 2 106 to 3 106 HSPCs/kg).

We used CRISPOR (45) to design gRNAs targeting the 200 and 158 regions of the HBG promoters (Table 1). For gRNA expression in erythroid cell lines, oligonucleotide duplexes containing the gRNA protospacers were ligated into Bbs Idigested MA128 plasmid (provided by M. Amendola, Genethon, France). For RNP delivery to HSPCs, we used chemically modified synthetic single gRNAs harboring 2-O-methyl analogs and 3-phosphorothioate nonhydrolyzable linkages at the first three 5 and 3 nucleotides (Synthego) at a concentration of 180 M. Two-part cr:tracrRNA gRNAs were composed of a tracrRNA (IDT) and a custom crRNA (IDT) assembled in equimolar concentrations to produce a 180 M duplex (Table 1).

Protospacer adjacent motifs (PAMs) are highlighted in bold.

K562 were maintained in RPMI 1640 (Lonza) containing glutamine and supplemented with 10% fetal bovine serum (Lonza), Hepes (Life Technologies), sodium pyruvate (Life Technologies), and penicillin and streptomycin (Life Technologies). HUDEP-2 cells (46) were cultured and differentiated, as previously described (47). Flow cytometric analysis of CD36, CD71, and GYPA surface markers and a standard May-Grnwald Giemsa staining were performed to monitor erythroid differentiation.

K562 and HUDEP-2 cells were transfected with 4 g of a Cas9-GFPexpressing plasmid (pMJ920, Addgene) and 0.8 g (K562) and 1.6 g (HUDEP-2) of gRNA-containing plasmid. We used AMAXA Cell Line Nucleofector Kit V (VCA-1003) and U-16 and L-29 programs (Nucleofector II) for K562 and HUDEP-2, respectively. GFP+ HUDEP-2 cells were sorted using SH800 Cell Sorter (Sony Biotechnology).

We obtained human cord blood (CB) CD34+ HSPCs from healthy donors. CB samples eligible for research purposes were obtained because of a convention with the CB bank of Saint Louis Hospital (Paris, France). Human adult SCD CD34+ HSPCs were isolated from Plerixafor mobilized SCD patients (NCT 02212535 clinical trial, Necker Hospital, Paris, France). We obtained granulocyte colony-stimulating factor (G-CSF)mobilized adult HSPCs from healthy donors. Written informed consent was obtained from all adult subjects. All experiments were performed in accordance with the Declaration of Helsinki. The study was approved by the regional investigational review board (reference: DC 2014-2272, CPP Ile-de-France II Hpital Necker-Enfants malades). HSPCs were purified by immunomagnetic selection with AutoMACS (Miltenyi Biotec) after immunostaining with the CD34 MicroBead Kit (Miltenyi Biotec).

Forty-eight hours before transfection, CD34+ cells (106 cells/ml) were thawed and cultured in the HSPC medium containing StemSpan (STEMCELL Technologies) supplemented with penicillin/streptomycin (Gibco), 250 nM StemRegenin1 (STEMCELL Technologies), and the following recombinant human cytokines (PeproTech): stem cell factor (SCF) (300 ng/ml), Flt-3L (300 ng/ml), thrombopoietin (TPO) (100 ng/ml), and interleukin-3 (IL-3) (60 ng/ml).

gRNAs were assembled at room temperature with a 90 M Cas9-GFP protein (provided by De Cian) in RNP complexes using a ratio of 2:1 (gRNA:Cas9). Human CD34+ cells (1 106 to 2 106) were transfected with RNP particles using the P3 Primary Cell 4D-Nucleofector X Kit S or L (Lonza), respectively, and the AMAXA 4D CA137 program (Lonza) together with 90 M transfection enhancer (IDT), unless otherwise stated.

Transfected human HSPCs were differentiated into mature RBCs using a three-step protocol (48). From day 0 to day 6, cells were grown in a basal erythroid medium supplemented with the following recombinant human cytokines: SCF (100 ng/ml; PeproTech), IL-3 (5 ng/ml; PeproTech), EPO Eprex (3 IU/ml; Janssen-Cilag), and 106 M hydrocortisone (Sigma). From day 6 to day 9, cells were cultured onto a layer of murine stromal MS-5 cells in a basal erythroid medium supplemented with EPO Eprex (3 IU/ml). Last, from day 9 to day 19, cells were cultured on a layer of MS-5 cells in a basal erythroid medium without cytokines. Erythroid differentiation was monitored by May Grnwald-Giemsa staining; flow cytometric analysis of CD36, CD71, and GYPA erythroid surface markers; and DRAQ5 staining of nucleated cells.

Healthy donor CB-derived CD34+ HSPCs (106) were transfected as described above and plated at a concentration of 500,000/ml in StemSpan (STEMCELL Technologies) supplemented with penicillin/streptomycin (Gibco), 250 nM StemRegenin1 (STEMCELL Technologies), and the following recombinant human cytokines (PeproTech): SCF (300 ng/ml), Flt-3L (300 ng/ml), TPO (100 ng/ml), and IL-3 (60 ng/ml). Eighteen hours after transfection, cells were stained with antibodies recognizing CD34 [CD34 phycoerythrin (PE)Cy7, 348811; BD Pharmingen], CD133 (CD133 PE, 130-113-748, Miltenyi Biotec), and CD90 (CD90 PE-Cy5, 348811, BD Pharmingen). Cells were sorted using FACSAria II (BD Biosciences). Sorted and unsorted populations were cultured at a concentration of 5 105/ml in a cytokine-enriched medium (described above) for 4 days before collection for DNA extraction.

The number of hematopoietic progenitors was evaluated by clonal CFC assay. HSPCs were plated at a concentration of 1 103 cells/ml in a methylcellulose-containing medium (GFH4435, STEMCELL Technologies) under conditions supporting erythroid and granulomonocytic differentiation. BFU-E and CFU-GM colonies were scored after 14 days. BFU-Es and CFU-GMs were randomly picked and collected as bulk populations (containing at least 25 colonies) or as individual colonies (35 to 45 colonies per sample) to evaluate genome editing efficiency.

Genome editing was analyzed in HUDEP-2 cells at days 0 and 9 of erythroid differentiation and in CB and adult mobilized HSPC-derived erythroid cells at days 6 and 14 of erythroid differentiation, respectively. Genomic DNA was extracted from control and edited cells using the PureLink Genomic DNA Mini Kit (Life Technologies), Quick-DNA/RNA Miniprep (ZYMO Research), or DNA Extract All Reagents Kit (Thermo Fisher Scientific) following the manufacturers instructions. To evaluate NHEJ efficiency at gRNA target sites, we performed PCR followed by Sanger sequencing and TIDE analysis (tracking of InDels by decomposition) (49) or ICE CRISPR Analysis Tool (Synthego) (Table 2) (50).

F, forward primer; R, reverse primer.

Digital droplet PCR was performed using EvaGreen mix (Bio-Rad) to quantify the frequency of the 4.9-kb deletion. Short (~1 min) elongation time allowed the PCR amplification of the genomic region harboring the deletion. Control primers annealing to a genomic region on the same chromosome (chr 11) were used as DNA loading control (Table 3).

Following PCR amplification of the target sequences with the Phusion High-Fidelity polymerase with GC Buffer (New England BioLabs), amplicons were purified using Ampure XP beads (Beckman Coulter). Illumina-compatible barcoded DNA amplicon libraries were prepared using the TruSeq DNA PCR-Free kit (Illumina). PCR amplification was then performed using 1 ng of double-stranded ligation product and Kapa Taq polymerase reagents (KAPA HiFi HotStart ReadyMix PCR Kit, Kapa Biosystems). After a purification step using Ampure XP beads (Beckman Coulter), libraries were pooled and sequenced using Illumina HiSeq2500 (paired-end sequencing 130 130 bases) (Table 4).

For the on-target sites, read pairs were assembled using FLASH. We used a custom python tool suite to count and characterize InDels that were classified in different types: 1-bp deletions, >1-bp deletions non-MH (not associated with MH motifs), >1-bp deletions MH (associated with MH motifs), 1-bp insertions, and >1-bp insertions and substitutions. A tunable window around the cleavage site (typically of 10 bp) was defined to minimize false-positive InDels, and comparison between treated and control samples was used to call InDels due to treatment versus sequencing errors. For the off-target sites, targeted deep sequencing data were analyzed using CRISPRESSO (51).

Human embryonic kidney (HEK) 293T/17 cells (2.5 105) were transfected with 500 ng of a SpCas9-expressing plasmid, together with 250 ng of each single-guide RNAcoding plasmid or an empty pUC19 vector (background control), 10 pmol of the bait dsODN (designed according to the original GUIDE-seq protocol), and 50 ng of a pEGFP-IRES-Puro plasmid, expressing both enhanced GFP (EGFP) and the puromycin resistance genes. One day after transfection, cells were replated and selected with puromycin (1 g/ml) for 48 hours to enrich for transfected cells. Cells were then collected, and genomic DNA was extracted using the DNeasy Blood and Tissue Kit (Qiagen) and sheared to an average length of 500 bp with the Bioruptor Pico Sonication System (Diagenode). Library preparation was performed using the original adapters and primers according to previous work (27). Libraries were sequenced with a MiSeq sequencing system (Illumina) using an Illumina MiSeq Reagent kit V2-300 cycles (2 150-bp paired-end). Raw sequencing data (FASTQ files) were analyzed using the GUIDE-seq computational pipeline (52). Identified sites were considered bona fide off-targets if a maximum of seven mismatches against the on-target were present and if they were absent in the background control. The GUIDE-seq datasets are available in the BioProject repository under the accession number PRJNA531587.

Total RNA was extracted from differentiated HUDEP-2 (day 9) and primary mature SCD erythroblasts (day 13) using an RNeasy Micro kit (Qiagen), following the manufacturers instructions. Mature transcripts were reverse-transcribed using SuperScript First-Strand Synthesis System for RT-qPCR (Invitrogen) with oligo(dT) primers. RT-qPCR was performed using an iTaq Universal SYBR Green master mix (Bio-Rad) and a Viia7 Real-Time PCR system (Thermo Fisher Scientific) (Table 5).

RP-HPLC analysis was performed using a NexeraX2 SIL-30AC chromatograph and the LC Solution software (Shimadzu). Globin chains were separated by HPLC using a 250 mm 4.6 mm, 3.6-m Aeris Widepore column (Phenomenex). Samples were eluted with a gradient mixture of solution A (water/acetonitrile/trifluoroacetic acid, 95:5:0.1) and solution B (water/acetonitrile/trifluoroacetic acid, 5:95:0.1). The absorbance was measured at 220 nm.

CE-HPLC analysis was performed using a NexeraX2 SIL-30 AC chromatograph and the LC Solution software (Shimadzu). Hb tetramers were separated by HPLC using two cation-exchange columns (PolyCAT A, PolyLC, Columbia, MD). Samples were eluted with a gradient mixture of solution A [20 mM Bis-Tris and 2 mM KCN (pH 6.5)] and solution B [20 mM Bis-Tris, 2 mM KCN, and 250 mM NaCl (pH 6.8)]. The absorbance was measured at 415 nm. The calculation of total Hb levels was performed by integration of the areas under the Hb peaks followed by comparison with a standard Hb control (Lyphochek Hemoglobin A2 Control, Bio-Rad).

Differentiated HUDEP-2 cells were fixed and permeabilized using BD Cytofix/Cytoperm solution (BD Pharmingen) and stained with an antibody recognizing HbF [an allophycocyanin (APC)conjugated anti-HbF antibody, MHF05, Life Technologies or a fluorescein isothiocyanate (FITC)conjugated anti-HbF antibody, 552829, BD Pharmingen]. HSPC-derived RBCs or erythroblasts were fixed in cold 0.05% glutaraldehyde and permeabilized using 0.1% Triton X-100. After incubation with Fcr Blocking Reagent (Miltenyi Biotec), cells were stained with an FITC-conjugated anti-HbF antibody (552829, BD Pharmingen).

Flow cytometric analysis of CD36, CD71, and GYPA erythroid surface markers was performed using a V450-conjugated anti-CD36 antibody (561535, BD Horizon), an FITC-conjugated anti-CD71 antibody (555536, BD Pharmingen), and a PE-Cy7conjugated anti-GYPA antibody (563666, BD Pharmingen). We used the nuclear dye DRAQ5 (eBioscience) to evaluate the proportion of enucleated RBCs.

To determine genome editing efficiency in erythroid subpopulations, cells were labeled with a PE-Cy7conjugated anti-GYPA antibody (563666, BD Pharmingen) and an FITC-conjugated anti-HbF antibody (552829, BD Pharmingen), as described above. GYPA+ cells were sorted on the basis of HbF expression using FACSAria II (BD Biosciences).

Flow cytometry analyses were performed using Fortessa X20 (BD Biosciences) or Gallios (Beckman Coulter) flow cytometers. Data were analyzed using the Kaluza software (Beckman Coulter) or the FlowJo software (BD Biosciences).

ChIP experiments to detect H3K27Ac were performed as previously described (53). After 5 days of differentiation, 197 and AAVS1 HUDEP-2 bulk populations were collected for ChIP assays. Briefly, chromatin was cross-linked for 10 min at room temperature with 1% formaldehyde-containing medium. Nuclear extracts were sonicated using the Bioruptor Pico Sonication System (Diagenode). Chromatin obtained from 2 106 cells was immunoprecipitated at 4C overnight using an antibody (1 g per 106 cells) against H3K27Ac (ab4729, Abcam) or a control immunoglobulin G (sc-2025, Santa Cruz Biotechnology). Chromatin cross-linking was reversed at 65C for at least 4 hours, and DNA was purified using the QIAquick PCR purification kit (Qiagen). We used quantitative SYBR Green PCR (Applied Biosystems) and the Viia7 Real-Time PCR System (Thermo Fisher Scientific) to evaluate H3K27Ac enrichment at different genomic loci (Table 6). ChIP experiments to detect LRF were performed as previously described (11) in 197- and AAVS1-edited K562 bulk populations (Table 7).

HSPC-derived SCD RBCs were exposed to an oxygen-deprived atmosphere (0% O2), and the time course of sickling was monitored in real time by video microscopy, capturing images every 20 min for at least 80 min using an AxioObserver Z1 microscope (Zeiss) and a 40 objective. Images of the same fields were taken throughout all stages and processed with ImageJ to determine the percentage of nonsickled RBCs per field of acquisition in the total RBC population. Cells (~300 to 3300) were counted per condition (1500 cells on average).

Nonobese diabetic severe combined immunodeficiency gamma (NSG) mice (NOD.CgPrkdcscid Il2rgtm1Wj/SzJ, Charles River Laboratories, St Germain sur lArbresle, France) were housed in a specific pathogenfree facility. Mice at 6 to 8 weeks of age were conditioned with busulfan (Sigma, St. Louis, MO, USA) injected intraperitoneally (25 mg/kg body weight/day) 24, 48, and 72 hours before transplantation. Control or edited mobilized healthy donor CD34+ cells (106 cells per mouse) were transplanted into NSG mice via retro-orbital sinus injection. Neomycin and acid water were added in the water bottle. At 16 weeks after transplantation, NSG recipients were sacrificed. Cells were harvested from femur bone marrow, thymus, and spleen; stained with antibodies against murine or human surface markers [murine CD45, BD Biosciences, Franklin Lakes, NJ, USA; human CD45, Miltenyi Biotec, Bergisch Gladbach, Germany; human CD3, Miltenyi Biotec, Bergisch Gladbach, Germany; human CD14, BD Biosciences, Franklin Lakes, NJ, USA; human CD15, Beckman Coulter, Brea, CA, USA; human CD19, Sony Biotechnologies, San Jose, CA, USA; human CD235a (CD235a-APC), BD Pharmingen]; and analyzed by flow cytometry using a Gallios analyzer and the Kaluza software (Beckman Coulter, Brea, CA, USA). All experiments and procedures were performed in compliance with the French Ministry of Agricultures regulations on animal experiments and were approved by the regional Animal Care and Use Committee (APAFIS#2101-2015090411495178 v4).

Paired t tests were performed to compare genome editing efficiencies in erythroid subpopulations sorted based on HbF expression. Unpaired t tests were performed for all the other analyses. Statistical analyses were carried out using Prism4 software (GraphPad). We used the Kruskal-Wallis test to compare frequency of deletion generated at each nucleotide by the different gRNAs. The threshold for statistical significance was set to P < 0.05.

Acknowledgments: We thank R. Kurita and Y. Nakamura for contributing the HUDEP-2 cell line, L. Douay for the erythroid differentiation protocol, G. Pavani for the optimization of editing protocol in HSPCs, B. Wienert for providing assistance and protocol for the LRF ChIP, O. Alibeau and C. Bole for the DNA sequencing, E. Brunet for the discussion, and E. Duvernois-Berthet for the script used for InDel characterization. Funding: This work was supported by grants from the European Research Council (ERC-2015-AdG, GENEFORCURE), the Agence Nationale de la Recherche (ANR-16-CE18-0004, ANR-11-INBS-0014-TEFOR, ANR-17-CE13-0016-i-MMEJ, and ANR-10-IAHU-01 Investissements davenir program), the Paris Ile-de-France Region under DIM Thrapie gnique initiative, and Genopole (CHAIRE JUNIOR FONDAGEN). Author contributions: L.W. and G.F. designed and conducted the experiments and wrote the paper. T.F., G.H., A.Ca., C.W., V.M., and A.Ch. designed and conducted the experiments. C.M. analyzed off-target NGS data. A.D.C. provided reagents. F.M., M.A., I.A.-S., A.Ce., W.E.N., J.-P.C., C.G., and M.C. contributed to the design of the experimental strategy. A.M. conceived the study, designed the experiments, and wrote the paper. Competing interests: A.M. and L.W. are inventors on a patent application related to this work filed by INSERM (PCT/EP2019/074131, 10 September 2019). The authors declare that they have no other competing interests. Data and materials availability: The GUIDE-seq datasets are available in the BioProject repository under the accession number PRJNA531587. All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Additional data related to this paper may be requested from the authors.

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Editing a -globin repressor binding site restores fetal hemoglobin synthesis and corrects the sickle cell disease phenotype - Science Advances

Animal Stem Cell Therapy Market Research Report 2020 by Detailed Segmentation, SWOT Analysis, Demand Analysis and Forecast To 2024 – Instant Tech News

Global Animal Stem Cell Therapy MarketThis research report provides detailed study accumulated to offer Latest insights about acute features of the Animal Stem Cell Therapy Market. The report contains different market predictions related to market size, revenue, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market. It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary and SWOT analysis.It presents the 360-degree overview of the competitive landscape of the industries. Animal Stem Cell Therapy Market is showing steady growthand CAGR is expected to improve during the forecast period.

Manufacturer DetailMedivet Biologics LLCVETSTEM BIOPHARMAJ-ARMU.S. Stem Cell, IncVetCell TherapeuticsCelavet Inc.Magellan Stem CellsKintaro Cells PowerAnimal Stem CareAnimal Cell TherapiesCell Therapy Sciences

Product Type SegmentationDogsHorses

Industry SegmentationVeterinary HospitalsResearch Organizations

Global Animal Stem Cell Therapy Market report provides you with detailed insights, industry knowledge, market forecasts and analytics. The report on the global Animal Stem Cell Therapy industry also clarifies economic risks and environmental compliance. Global Animal Stem Cell Therapy market report assists industry enthusiasts including investors and decision makers to make confident capital investments, develop strategies, optimize their business portfolio, innovate successfully and perform safely and sustainably.

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Animal Stem Cell Therapy Market Research Report 2020 by Detailed Segmentation, SWOT Analysis, Demand Analysis and Forecast To 2024 - Instant Tech News

GENE CORRECTED STEM CELL THERAPY TO TREAT CYSTIC FIBROSIS DEVELOPED AT STANFORD UNIVERSITY – NewsPatrolling

Chennai February 12, 2020:A team of researchers at Stanford University has used the gene editing tool commonly known as CRISPR to repair the gene that causes cystic fibrosis in airway stem cells, which they say is a critical step to develop a gene therapy for the disorder.

The researchers showed that the repaired airway stem cells could give rise to other airway cells and could produce functional cystic fibrosis transmembrane conductance regulator protein, which is faulty in cystic fibrosis patients. The study represents a proof of concept for the repair of genes that cause airway disorders. A study describing these results was published online inCell Stem Cellon December 12, 2019. Postdoctoral scholar Sriram Vaidyanathan, PhD is the first co-lead author and Matthew Porteus, MD, PhD, professor of pediatrics is the lead co-senior author. Other co-lead authors include Ameen Salahudeen, MD, PhD, Zachary Sellers, MD, PhD, Dawn Bravo PhD. Other co-senior authors include Tushar Desai, MD, Jayakar Nayak, MD, PhD and Calvin Kuo MD,PhD.

A devastating childhood disease:Cystic fibrosis affects about 75,000-100,000 people globally. CF patients suffer from chronic lung infections that eventually cause lung failure and death. In addition, patients may also suffer from problems in several other organs. CF patients have an average life expectancy of about 40 years. CF is a fatal disease caused by mutations in a single gene (the cystic fibrosis transmembrane conductance regulator (CFTR)). The CFTR gene encodes an ion channel that transports chloride in cells that express the gene. In CF patients, the channel is non-functional and chloride transport is blocked. This results in a build-up of thick mucus in the airways and also results in damage to other organs such as the pancreas.

The quest for a cure:Gene therapy has been attempted to treat several genetic diseases such as sickle cell disease and thalassemia over the past two decades with some individual successes. The discovery of CRISPR enabled the precise manipulation of genes and made it feasible to develop gene therapies for many more diseases. CRISPR was most readily applied to develop cures for blood disorders such as sickle cell disease because of our increased familiarity with blood stem cells and our ability to readily culture and transplant them into patients. Indeed, the first clinical trials to test the use of CRISPR to treat sickle cell disease, a blood disorder, have already started even though the technology is relatively new.

Although CF was one of the first diseases for which gene therapy was attempted, attempts have been unsuccessful so far. The development of CRISPR renewed hopes for a gene therapy for CF. The application of CRISPR to treat lung disorders such as CF was challenging because methods to apply CRISPR to effectively edit airway stem cells had not been developed. The team consisting of Dr. Vaidyanathan, Dr. Porteus and colleagues have developed a method to correct one CF causing mutation (DF508) which affects over 70% of patients in the US and Europe. This publication describes the correction of a commonly observed CF causing mutation with efficiencies over >40% in airway stem cells. This is over a 100-fold improvement over previous work correcting the same mutations in other cell types and makes it possible to correct CF causing mutations in a clinically applicable manner. Further work is necessary to perfect the transplantation of edited airway stem cells in the airways to develop a durable treatment for CF.

Not just a disease that affects Caucasians:In addition to Dr. Vaidyanathan, another co-first author and two of the co-corresponding authors leading this work are people of Indian origin. However, CF is not widely recognized as a disease that affects Indians. CF has been described in Indian patients previously.2,3However, the exact number of CF patients in India is still unknown and the mutations that affect them are also not well characterized. It is likely that India has the largest number of CF patients in the world. It is also likely that most of them are undiagnosed and die before the age of 5. One study quantified the presence of CF in people of Indian origin in Canada and estimated the prevalence to be 1 in 9200 compared to 1 in 6600 among the general population between the ages of 0-14 years.4In fact, Dr. Vaidyanathan has come across patients at Stanford University who received a diagnosis for CF after significant delay. In some cases, CF was even deemed unlikely because the patients were not of European origin. This is rather unfortunate because the quality of life and life expectancy of CF patients can be significantly improved if treatment is started early in life. This new gene therapy approach thus holds the promise to treat CF patients globally once a method to transplant airway stem cells is optimized.

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GENE CORRECTED STEM CELL THERAPY TO TREAT CYSTIC FIBROSIS DEVELOPED AT STANFORD UNIVERSITY - NewsPatrolling

Stem Cell Therapy Market 2020 Booming by Size, Revenue, Trend and Top Companies 2026 – Instant Tech News

New Jersey, United States, The report titled, Stem Cell Therapy Market Size and Forecast 2026 in Verified Market Research offers its latest report on the global Stem Cell Therapy market that includes comprehensive analysis on a range of subjects like competition, segmentation, regional expansion, and market dynamics. The report sheds light on future trends, key opportunities, top regions, leading segments, the competitive landscape, and several other aspects of the Stem Cell Therapy market. Get access to crucial market information. Market players can use the report back to peep into the longer term of the worldwide Stem Cell Therapy market and convey important changes to their operating style and marketing tactics to realize sustained growth.

Global Stem Cell TherapyMarketwas valued at USD 86.62 million in 2016 and is projected to reach USD 221.03million by 2025, growing at a CAGR of 10.97% from 2017 to 2025.

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Top 10 Companies in the Global Stem Cell Therapy Market Research Report:

Global Stem Cell Therapy Market: Competitive Landscape

Competitive landscape of a market explains strategies incorporated by key players of the market. Key developments and shift in management in the recent years by players has been explained through company profiling. This helps readers to understand the trends that will accelerate the growth of market. It also includes investment strategies, marketing strategies, and product development plans adopted by major players of the market. The market forecast will help readers make better investments.

Global Stem Cell Therapy Market: Drivers and Restrains

This section of the report discusses various drivers and restrains that have shaped the global market. The detailed study of numerous drivers of the market enable readers to get a clear perspective of the market, which includes market environment, government policies, product innovations, breakthroughs, and market risks.

The research report also points out the myriad opportunities, challenges, and market barriers present in the Global Stem Cell Therapy Market. The comprehensive nature of the information will help the reader determine and plan strategies to benefit from. Restrains, challenges, and market barriers also help the reader to understand how the company can prevent itself from facing downfall.

Global Stem Cell Therapy Market: Segment Analysis

This section of the report includes segmentation such as application, product type, and end user. These segmentations aid in determining parts of market that will progress more than others. The segmentation analysis provides information about the key elements that are thriving the specific segments better than others. It helps readers to understand strategies to make sound investments. The Global Stem Cell Therapy Market is segmented on the basis of product type, applications, and its end users.

Global Stem Cell Therapy Market: Regional Analysis

This part of the report includes detailed information of the market in different regions. Each region offers different scope to the market as each region has different government policy and other factors. The regions included in the report are North America, South America, Europe, Asia Pacific, and the Middle East. Information about different region helps the reader to understand global market better.

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Table of Content

1 Introduction of Stem Cell Therapy Market

1.1 Overview of the Market 1.2 Scope of Report 1.3 Assumptions

2 Executive Summary

3 Research Methodology of Verified Market Research

3.1 Data Mining 3.2 Validation 3.3 Primary Interviews 3.4 List of Data Sources

4 Stem Cell Therapy Market Outlook

4.1 Overview 4.2 Market Dynamics 4.2.1 Drivers 4.2.2 Restraints 4.2.3 Opportunities 4.3 Porters Five Force Model 4.4 Value Chain Analysis

5 Stem Cell Therapy Market, By Deployment Model

5.1 Overview

6 Stem Cell Therapy Market, By Solution

6.1 Overview

7 Stem Cell Therapy Market, By Vertical

7.1 Overview

8 Stem Cell Therapy Market, By Geography

8.1 Overview 8.2 North America 8.2.1 U.S. 8.2.2 Canada 8.2.3 Mexico 8.3 Europe 8.3.1 Germany 8.3.2 U.K. 8.3.3 France 8.3.4 Rest of Europe 8.4 Asia Pacific 8.4.1 China 8.4.2 Japan 8.4.3 India 8.4.4 Rest of Asia Pacific 8.5 Rest of the World 8.5.1 Latin America 8.5.2 Middle East

9 Stem Cell Therapy Market Competitive Landscape

9.1 Overview 9.2 Company Market Ranking 9.3 Key Development Strategies

10 Company Profiles

10.1.1 Overview 10.1.2 Financial Performance 10.1.3 Product Outlook 10.1.4 Key Developments

11 Appendix

11.1 Related Research

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Stem Cell Therapy Market 2020 Booming by Size, Revenue, Trend and Top Companies 2026 - Instant Tech News

Astex Pharmaceuticals Announces US Food and Drug Administration (FDA) Acceptance for Review of an NDA for the Combination Oral Hypomethylating Agent…

DetailsCategory: Small MoleculesPublished on Wednesday, 12 February 2020 17:52Hits: 163

PLEASANTON, CA, USA I February 11, 2020 I Astex Pharmaceuticals, Inc., a wholly owned subsidiary of Otsuka Pharmaceutical Co. Ltd., based in Japan, today announced that the U.S. FDA has accepted for Priority Review its NDA for oral C-DEC (cedazuridine and decitabine) as a treatment for adults with previously untreated intermediate- and high-risk MDS including CMML. The NDA submission is based on data from the ASCERTAIN phase 3 study which evaluated the 5-day decitabine exposure equivalence of oral C-DEC and IV decitabine.

We are very pleased that the FDA has accepted our NDA for Priority Review, said Dr Mohammad Azab, MD, president & chief medical officer of Astex Pharmaceuticals, Inc. Subject to FDA review and regulatory approval, oral C-DEC may offer a new option for patients with MDS and CMML that saves them the burden of 5-day IV infusions every month during their treatment period. We are grateful to all the patients, investigators and other healthcare providers, and partner research and manufacturing organizations, who contributed to the clinical development program of oral C-DEC.

The FDA grants Priority Review to applications for drugs that, if approved, would provide significant improvements in the safety and effectiveness of the treatment, diagnosis or prevention of serious conditions. The Priority Review designation means FDAs goal is to take action on an NDA application within six months (compared to the ten months under standard review).

Oral C-DEC is an investigational compound and is not currently approved in any country.

Astexs parent company, Otsuka Pharmaceutical Co., Ltd., and Taiho Pharmaceutical Co., Ltd. previously announced that, subject to regulatory approvals, commercialization of oral C-DEC in the U.S. and Canada will be conducted by Taiho Oncology, Inc. and Taiho Pharma Canada, Inc. respectively. Astex, Otsuka and Taiho are all members of the Otsuka group of companies.

About C-DEC (Cedazuridine 100 mg and Decitabine 35 mg) Fixed-Dose Combination

C-DEC is a novel, orally administered fixed dose combination of cedazuridine, an inhibitor of cytidine deaminase,1 with the anti-cancer DNA hypomethylating agent, decitabine.2 By inhibiting cytidine deaminase in the gut and the liver, C-DEC is designed to allow for oral delivery of the approved DNA hypomethylating agent, decitabine, at exposures which emulate exposures achieved with the approved intravenous form of decitabine administered over 5 days.3

C-DEC has been evaluated in a phase 1/2 pharmacokinetics-guided dose escalation and dose confirmation study in patients with MDS and CMML (see https://www.clinicaltrials.gov NCT02103478) and a pivotal phase 3 study (ASCERTAIN) (see https://www.clinicaltrials.gov NCT03306264) conducted at investigator sites in the US and Canada and designed to confirm the results from the phase 1/2 study. The phase 3 study is now being extended to include patients with acute myeloid leukemia (AML) unsuitable to receive intensive induction chemotherapy.

In September 2019 Astex announced that C-DEC had received orphan drug designation for the treatment of MDS and CMML from the U.S. FDA.

The concept of using cedazuridine to block the action of cytidine deaminase is also being evaluated in a low dose formulation of cedazuridine and decitabine for the treatment of lower risk MDS (see https://www.clinicaltrials.gov NCT03502668).

About the Phase 3 ASCERTAIN Study

The study was designed as a randomized crossover study comparing oral C-DEC (cedazuridine 100 mg and decitabine 35 mg fixed-dose combination tablet given once daily for 5 days on a 28-day cycle) to IV decitabine (20 mg/m2 administered as a daily, 1-hour IV infusion for 5 days on a 28-day cycle) in the first 2 cycles with patients continuing to receive oral C-DEC from Cycle 3 onwards. The data from the ASCERTAIN study was presented at the American Society of Hematology (ASH) Meeting in Orlando, Florida in December 2019 by Dr Guillermo Garcia-Manero, MD, professor and chief of section of myelodysplastic syndromes, Department of Leukemia at The University of Texas MD Anderson Cancer Center, on behalf of the study investigators.4 The data demonstrated that the ASCERTAIN study met the primary endpoint of total 5-Day decitabine Area-Under-The-Curve (AUC) equivalence of oral C-DEC and IV decitabine. Safety findings from the study were consistent with those anticipated with IV decitabine, with no significant differences in the incidence of most common adverse events between oral C-DEC and IV decitabine in the first 2 randomized cycles. The most common adverse events of any grade >20% regardless of causality in patients in the first 2 randomized cycles who received oral C-DEC were thrombocytopenia (43.8%), neutropenia (35.4%), anemia (36.9%), and fatigue (23.8%). The ASH presentation can be downloaded from the Astex website at https://astx.com/media-center/presentations-and-publications/ASTX727 ASCERTAIN Presentation - ASH - December 2019

About Myelodysplastic Syndromes (MDS) and Chronic Myelomonocytic Leukemia (CMML)

Myelodysplastic syndromes are a heterogeneous group of hematopoietic stem cell disorders characterized by dysplastic changes in myeloid, erythroid, and megakaryocytic progenitor cells, and associated with cytopenias affecting one or more of the three lineages. U.S. incidence of MDS is estimated to be 10,000 cases per year, although the condition is thought to be under-diagnosed.5,6 The prevalence has been estimated to be from 60,000 to 170,000 in the U.S.7 MDS may evolve into acute myeloid leukemia (AML) in one-third of patients.8 The prognosis for MDS patients is poor; patients die from complications associated with cytopenias (infections and bleeding) or from transformation to AML. CMML is a clonal hematopoietic malignancy characterized by accumulation of abnormal monocytes in the bone marrow and in blood. The incidence of CMML in the U.S. is approximately 1,100 new cases per year,9 and CMML may transform into AML in 15% to 30% of patients.10 The hypomethylating agents decitabine and azacitidine are effective treatment modalities for hematologic cancers and are FDA-approved for the treatment of higher-risk MDS and CMML. These agents are administered by IV infusion, or by large-volume subcutaneous injections.

About Astex Pharmaceuticals, Inc.

Astex is a leader in innovative drug discovery and development, committed to the fight against cancer. Astex is developing a proprietary pipeline of novel therapies and has multiple partnered products in development under collaborations with leading pharmaceutical companies. Astex is a wholly owned subsidiary of Otsuka Pharmaceutical Co. Ltd., based in Tokyo, Japan.

Otsuka is a global healthcare company with the corporate philosophy: Otsukapeople creating new products for better health worldwide. Otsuka researches, develops, manufactures and markets innovative and original products, with a focus on pharmaceutical products for the treatment of diseases and nutraceutical products for the maintenance of everyday health.

For more information about Astex Pharmaceuticals, Inc. please visit: http://www.astx.com

For more information about Otsuka Pharmaceutical, please visit: http://www.otsuka.com/en/

For more information about Taiho Pharmaceutical, please visit: https://www.taihooncology.com/

References

SOURCE: Astex Pharmaceuticals

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Astex Pharmaceuticals Announces US Food and Drug Administration (FDA) Acceptance for Review of an NDA for the Combination Oral Hypomethylating Agent...

Health: Is this company onto an alternative to stem cell therapy? – Stockhead

Many regenerative medicine companies on the ASX specialise in stem-cell therapies but Exopharm (ASX:EX1) is pursuing exosomes instead.

Exosomes, also known as Extra-corporeal Vesicles, are microscopic cellular couriers. These shift proteins and genetic information between cells and this can promote regeneration and healing of damaged cells.

In other words, they can tell cells they are a healthier, younger version of themselves successfully.

The challenge is that there are plenty of products on the black market but clinical research has been limited. But the research that has been done has shown exosomes can be lower risk, have higher scalability and even a superior therapeutic capacity.

This morning Exopharm announced BioMAP testing results of both its exosome products Plexaris and Cevaris.

These were compared with 4,500 experimental and sold medicines across a penal of 12 human primary cell-based systems.

Both products were deemed safe and had notable biological activity in tissue remodelling, inflammation and immune-modulatory related activities.

The results also showed that both products were not cytotoxic and did not cause anti-proliferative effects.

CEO Dr Ian Dixon declared the results were very positive.

The testing showed that both Plexaris and Cevaris had different and distinct activities to comparison drugs, he said.

This confirms our belief that exosomes are a distinct and potentially new class of medicine, different from existing medicines.

Exopharm recently began a phase one human clinical trial in Plexaris in a wound healing context. The company also has a technology (LEAP) that purifies exosomes for clinical purposes a necessary step to separate them from other biological fluids like serum.

Exopharm listed in December 2018 and rallied for a few months before a retreat in the second half of last year. But it is still above its IPO price and climbed 11.5 per cent this morning.

READ MORE:IPO Watch: Exopharm wants to raise $7m to help you live longer

National Veterinary Care (ASX:NVL) is about to be acquired but that hasnt stopped it adding four more vet clinics to its portfolio. Upon settlement of the deals, expected next month, it will own 107 clinics.

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Health: Is this company onto an alternative to stem cell therapy? - Stockhead

Regenexx, First to Use Stem Cells in Orthopedic Therapy, Marks 15th Anniversary – Yahoo Finance

More than 90,000 procedures performed

BROOMFIELD, Colo., Feb. 12, 2020 /PRNewswire/ --Regenexx, the world's largest, cohesive physician group dedicated to practicing advanced orthobiologics and the first to use stem cells in the treatment of many orthopedic injuries, is celebrating its 15th year since inception.To date, more than 40,000 patients have been treated and the organization has performed more than 90,000 procedures.

In 2005, Dr. Chris Centeno and Dr. John Schultz, physicians in a small two-man pain management clinic in Colorado, were the first in the world to apply stem cells to treat many orthopedic injuries. Two years later they completed a 24 months, IRB-approved research study of the use of both culture-expanded and same-day stem cells to treat knee and hip arthritis as well as low-back degenerative disc disease. Today, there are more than 60 Regenexx affiliates worldwide, including India, Australia, the UK, China, Taiwan and the Cayman Islands.

"Today, Regenexx physicians, specializing in the use of orthobiologics for treating orthopedic injuries, are achieving results thought unimaginable 15 years ago," says Chris Centeno, MD, founder and Chief Medical Officer of Regenexx. "Fifteen years ago, this new specialty focused on using the most advanced regenerative protocols available as an alternative to many orthopedic surgeries and today our patented lab-processing and treatment protocols have allowed us to achieve unmatched results."

Regenexx Corporate is the only program where orthobiologics can get coverage through private health insurance plans. As of Jan 1, 2020, Regenexx Corporate added 50 new self-funded companies that pay for orthobiologic care delivered by Regenexx providers as a way to reduce their orthopedic costs. Regenexx also received the EHIR traction award at Cohort 3 for record number of matches in October of 2019.

Regenexx physiciansmust have specific qualifications around musculoskeletal careand only the most qualified physicians are accepted into the Regenexx network. Once accepted, Regenexx then provides the doctor with hundreds of hours of specialized, hands-on training in the Regenexx interventional orthopedics approach. Regenexx has more than 60 clinic locations worldwide with highly specialized musculoskeletal physicians trained in more than 90 different Regenexx procedures.

"Making the decision between the interventional orthobiologics route and surgery is a real choice for most patients, not something driven by how much they can afford out of pocket," says Dr. Centeno. "We will continue to support and perform the research to make that happen. In the meantime, we expect to save hundreds of millions for our self-funded health plans and disrupt healthcare delivery in the process."

Regenexx Milestones

For a full timeline visit https://regenexx.com/regenexx15/

About RegenexxRegenexx is the leader in advanced interventional orthobiologics through R&D, treatments, techniques, and training that reduce the reliance on surgical orthopedics. We strive to continuously innovate in regenerative advancements to get people better. Our commitment extends to lowering medical spending through our Regenexx Corporate Program, which provides less costly, less invasive, and less risky treatments than traditional orthopedic surgery.

View original content:http://www.prnewswire.com/news-releases/regenexx-first-to-use-stem-cells-in-orthopedic-therapy-marks-15th-anniversary-301003443.html

SOURCE Regenexx

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Regenexx, First to Use Stem Cells in Orthopedic Therapy, Marks 15th Anniversary - Yahoo Finance

What Drives the Domino Effect in Cancer Drug Resistance? – Technology Networks

KAIST researchers have identified mechanisms that relay prior acquired resistance to the first-line chemotherapy to the second-line targeted therapy, fueling a domino effect in cancer drug resistance. Their study featured in the February 7 edition of Science Advances suggests a new strategy for improving the second-line setting of cancer treatment for patients who showed resistance to anti-cancer drugs.

Resistance to cancer drugs is often managed in the clinic by chemotherapy and targeted therapy. Unlike chemotherapy that works by repressing fast-proliferating cells, targeted therapy blocks a single oncogenic pathway to halt tumor growth. In many cases, targeted therapy is engaged as a maintenance therapy or employed in the second-line after front-line chemotherapy.

A team of researchers led by Professor Yoosik Kim from the Department of Chemical and Biomolecular Engineering and the KAIST Institute for Health Science and Technology (KIHST) has discovered an unexpected resistance signature that occurs between chemotherapy and targeted therapy. The team further identified a set of integrated mechanisms that promotes this kind of sequential therapy resistance.

There have been multiple clinical accounts reflecting that targeted therapies tend to be least successful in patients who have exhausted all standard treatments, said the first author of the paper Mark Borris D. Aldonza. He continued, These accounts ignited our hypothesis that failed responses to some chemotherapies might speed up the evolution of resistance to other drugs, particularly those with specific targets.

Aldonza and his colleagues extracted large amounts of drug-resistance information from the open-source database the Genomics of Drug Sensitivity in Cancer (GDSC), which contains thousands of drug response data entries from various human cancer cell lines. Their big data analysis revealed that cancer cell lines resistant to chemotherapies classified as anti-mitotic drugs (AMDs), toxins that inhibit overacting cell division, are also resistant to a class of targeted therapies called epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs).

In all of the cancer types analyzed, more than 84 percent of those resistant to AMDs, representatively paclitaxel, were also resistant to at least nine EGFR-TKIs. In lung, pancreatic, and breast cancers where paclitaxel is often used as a first-line, standard-of-care regimen, greater than 92 percent showed resistance to EGFR-TKIs. Professor Kim said, It is surprising to see that such collateral resistance can occur specifically between two chemically different classes of drugs.

To figure out how failed responses to paclitaxel leads to resistance to EGFR-TKIs, the team validated co-resistance signatures that they found in the database by generating and analyzing a subset of slow-doubling, paclitaxel-resistant cancer models called persisters.

The results demonstrated that paclitaxel-resistant cancers remodel their stress response by first becoming more stem cell-like, evolving the ability to self-renew to adapt to more stressful conditions like drug exposures. More surprisingly, when the researchers characterized the metabolic state of the cells, EGFR-TKI persisters derived from paclitaxel-resistant cancer cells showed high dependencies to energy-producing processes such as glycolysis and glutaminolysis.

We found that, without an energy stimulus like glucose, these cells transform to becoming more senescent, a characteristic of cells that have arrested cell division. However, this senescence is controlled by stem cell factors, which the paclitaxel-resistant cancers use to escape from this arrested state given a favorable condition to re-grow, said Aldonza.

Professor Kim explained, Before this research, there was no reason to expect that acquiring the cancer stem cell phenotype that dramatically leads to a cascade of changes in cellular states affecting metabolism and cell death is linked with drug-specific sequential resistance between two classes of therapies.

He added, The expansion of our work to other working models of drug resistance in a much more clinically-relevant setting, perhaps in clinical trials, will take on increasing importance, as sequential treatment strategies will continue to be adapted to various forms of anti-cancer therapy regimens.

This study was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF-2016R1C1B2009886), and the KAIST Future Systems Healthcare Project (KAISTHEALTHCARE42) funded by the Korean Ministry of Science and ICT (MSIT). Undergraduate student Aldonza participated in this research project and presented the findings as the lead author as part of the Undergraduate Research Participation (URP) Program at KAIST.

Reference:Aldonza, et al. (2020) Prior acquired resistance to paclitaxel relays diverse EGFR-targeted therapy persistence mechanisms. Science Advances DOI: 10.1126/sciadv.aav7416

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.

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What Drives the Domino Effect in Cancer Drug Resistance? - Technology Networks

CRISPR, CAR-T, Consolidation: Top Advanced Therapy Milestones of 2019 – Xconomy

XconomyNational

CRISPR, capacity, and consolidation powered the cell and gene therapy space in 2019, but a proactive focus on patient access topped Falcon Therapeutics CEO Susan Nichols annual roundup.

In what has become one of the most anticipated presentations at the Phacilitate Leaders World Conference, Susan Nichols, CEO of private North Carolina-based cell therapy firm Falcon Therapeutics, laid out the top 10 events of the previous year that shaped the regenerative medicine space, driving conversation, investment, and innovation.

The top spot in 2019 focused on efforts to increase patient access to the life-changing therapies entering the market, withMays approval of Novartis/AveXis Zolgensma(onasemnogene abeparvovec) and its unprecedented $2.1 million (1.9 million) price tag being the catalyst for change.

Nichols number one spot in 2018 centered around reimbursement conversations. Sparks approval of gene therapy Luxturna (voretigene neparvovec) shook 2017, while Europes approval ofex-vivostem cell gene therapy Strimvelis significantly advanced the sector in 2016.

For further context,check out theTop 10 cell and gene therapy milestones of 2018here, but below in reverse order is the full list of the top 10 key events of the previous 12 months, as presented at the conference in Miami, FL:

In December, a jury found Kite Pharma owned by Gilead Sciences (NASDAQ: GILD) guilty of infringing a patent exclusively licensed by Juno Therapeutics owned by Bristol-Myers Squibb (NYSE: BMS) from researchers at the Memorial Sloan Kettering Cancer Center.

The 190 patentrelates to technology used in Kite/Gileads chimeric antigen receptor (CAR) T-cell therapy Yescarta (axicabtagene ciloleucel).

The jurys decision left Gilead to pay $585 million plus 27.6% in royalties, totaling $752 million, to Bristol and Sloan Kettering, resolving a case filed a day after Yescarta won approval in October 2017.

But in a post-script that could well feature on Nichols 2020 list,it has been suggested the emboldening of Bristol has led the firm to file a motion last month to include punitive damages that would raise Gileads penalty to $1.5 billion.

Vertex (NASDAQ: VRTX) and CRISPR Therapeutics (NASDQ: CRSP) opened clinical trials in b-thalassemia and sickle cell disease to replace the defective genes that case these disorders andin November, the firms announced positive efficacy data from the first two patients treated with the investigational therapy CTX001.

Meanwhile, Editas Medicine (NASDAQ: EDIT) and Allergan initiated clinical trials for their CRISPR-based candidate AGN-151587 (EDIT-101), aimed at treating Leber congenital amaurosis 10 (LCA10), an inherited form of blindness.

The significance is CRISPR therapies have finally arrived in the clinic, Nichols said.

8) Pharma and biotech inhouse manufacturing

With a lack of third-party capacity especially for viral vector production, 2019 saw numerous investments by major cell and gene therapy players to grow their internal networks. Some of the examples Nichols pointed out include:

Susan Nichols, CEO of Falcon Therapeutics, spoke at Phacilitate in Miami, Florida in January

Positive data from Decembers American Association of Hematology (ASH) meeting in San Diego, CA was a further boon for the sector, said Nichols.

Johnson & Johnsons (NYSE: JNJ) JNJ-4528, a CAR-T Cell Therapy Directed Against B-Cell Maturation Antigen (BCMA), reported a 100% remission rate and response from its Phase Ib/II CARTITUDE-1 trial. 69% of patients showed complete remission or better.

The candidate licensed fromNanjing Legend in a $350 million deal will move into a full Phase II study this year.

ASH also brought positive news from bluebird and Bristol-Myers Squibb, which saw a 73.4% overall response rate in a Phase II KarMMa trial of its BCMA-targeted CAR-T candidate idecabtagene vicleucel.

The $950 million deal,announced in September, adds Semma Therapeutics a firm focusing on using stem-cell derived human islets as a possible cure for type 1 diabetes to Vertex growing regenerative medicine portfolio.

For Vertex, the deal represented its entry into the cell therapy space, complementing its move into gene editing just months prior with theacquisition of Exonics and a research expansion with CRISPR Therapeutics.

But for the industry, the investment in a company developing a cell therapy for a large indication other than cancer is of major significance, said Nichols.

As mentioned before, Astellas acquired Audentes for $3 billion, but the Japanese pharma firm also bought South San Francisco-basedCAR technology developer Xyphos Biosciencesas part of an end-of-year buying spree.

According to Nichols, these deals by Astellas are a signifier that medium pharma may be using advanced therapies to grow and expand.

With a wealth of therapies moving through the clinic, capacity is at a premium and 2019 saw contract development and manufacturing organizations (CDMOs) scrabbling to secure capabilities.

Thermo Fisher Scientific (NYSE: TMO) acquiredBrammer Bio for $1.7 billion, then Catalent (NYSE: CTLT) paid $1.2 billion toadd Paragon Bioservicesto its CDMO offering. Both marked the first move into gene therapy services by the two large contract manufacturers. Nichols noted the size of the deals as being somewhat impressive.

In other signs of CDMO consolidation, Hitachi Chemical Advanced Therapeutics Solutions (HCATS) entered Europe byacquiring German cell therapy manufacturing firm apceth Biopharma, and Tennessee-based cell therapy firm Cognateacquired Swedish DNA and viral vector manufacturer Cobra Biologics.

2019 also saw a flood of licensing deals with large upfront payments.

Roche (OTCGX: RHHBY) is paying more than $1 billion upfrontfor the rights to Sarepta Therapeutics (NASDAQ: SRPT) Duchenne muscular dystrophy (DMD) gene therapy outside of the US.

Genentech entered a $300 million with Adaptive Bio (NASDAQ: ADPT) for access to its T-receptor discovery and immune profiling platform, though the deal could be worth up to $2 billion.

And Vertex, as previously mentioned, inked a $175 million deal with CRISPR Therapeutics for its gene therapy pipeline.

We saw medium pharma grow. We saw major licensing deals. We saw CDMO consolidation. But we also saw Big Pharmas buying power with the sector making a significant impact on the cell and gene therapy space in 2019.

The biggest deal sawBristol buy Celgenefor a whopping $74 billion, bringing with it several CAR-T programs.

But Roches $4.8 billionacquisition of Spark Therapeutics which has already seen commercial success with Luxturna was also significant, as was Biogens (NASDAQ: BIIB) $877 million purchase ofNightstar Therapeutics, Pfizers stake-in and optionto buy out Vivet, and Bayers acquisition of the remaining shares ofBlueRock Therapeutics.

These signal that Big Pharma is optimistic to M&A in the advance therapy space and the value that these therapies can bring, said Nichols.

The business model for this new breed of curative medicines is significantly different to that of traditional pharma and biologics, and patient access poses a challenge. With the arrival of Zolgensma and its $2.1 million price tag, the conversations have changed, and all elements of the industry have been forced to address how to manage patient access.

Zolgensma represents a life or death drug for 68% of pediatric patients with SMA1. The patients must be dosed before the age of two, yet only around ten states offer screening before this age.

We need to work as an industry to ensure reimbursement and access is in sync with approvals, said Nichols. However, she added, we must move the conversation to state level and bring state Medicaid and insurance companies to the core of the conversation.

The year saw positive signs that change is happening.

Nichols noted that patient advocacy voices are loud across all disease indications pushing for access to these next-generation medicines. Meanwhile Novartis suggested lottery-style free drug program despitesome criticism demonstrates industry itself is looking for innovative ways to improve access.

This article first appeared in Bioprocess Insider on January 27.

Image: iStock/PashaIgnatov

Dan Stanton is Xconomy's managing editor and is based in France. You can reach him at dan.stanton@knect365.com.

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Science team designs a new CAR they say may work much better than BCMAs in fighting multiple myeloma – Endpoints News

Right now the big R&D play in the multiple myeloma field is centered around a raft of experimental BCMA approaches, including CAR-Ts. But a scientific team at the University of Utah says they may have found a better approach.

Focusing on the high rate of relapse using current therapies, as well as the waning efficacy of the clinical CAR-Ts, a team at the Huntsman Cancer Institute at the University of Utah built a new CAR focused on CD229.

That target, they say, goes after a molecule that endures through the course of the disease on the surface of cancer cells, including myeloma stem cells at the root of relapse.

We were dismayed that although some of our patients respond quite well to currently available immunotherapies, they relapsed as early as one year after treatment, says physician-scientist Djordje Atanackovic. We thought if we could target every last cancer cell in a patients body, including the cancer stem cell, this could make the critical difference and yield more durable, deeper responses to treatment.

The study was published in Nature Communications.

Working with a protein engineer, the team produced an antibody that could hook onto CD229, an essential part of their new CAR-T. And it checked out in preclinical animal and cell models leaving plenty of work ahead in the clinic if this ever gets to the marketplace.

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Science team designs a new CAR they say may work much better than BCMAs in fighting multiple myeloma - Endpoints News