Kooperativer Bibliotheksverbund

In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 286-286

Abstract: Xenotransplantation of primary AML samples into immunodeficient mice (PDX models) represents a unique opportunity for pre-clinical testing on a group of primary human samples that possess defined genomic lesions. However, given recent recognition that multiple genomically distinct sub-clones can exist in AML, there is a risk that there may be selection for sub-clones from the transplanted sample that might not fully represent the patient’s disease. We transplanted 160 (70 T-ALL 56 AML, 32 B-ALL, 2 MLL) patient samples of which 120 engrafted into at least 1 irradiated NSG mouse. 45 AML samples engrafted with a median latency 107+/-41 days. Transplantation of 6 PDX AML samples resulted in immunophenotypically identical disease within 87+/-35 days. 2 MLL samples engrafted in 100% of mice with a median latency of 103+/-13 days. 25 B-ALL samples engrafted with a median latency of 95+/-44 days. Secondary transplantation of 3 PDX B-ALL samples resulted in engraftment of leukemia cells with an identical immunophenotype in 100% of transplanted mice within 52+/-3 days. 48 T-ALL samples engrafted in at least one mouse within 50 days. Secondary transplantation of a single T-ALL PDX sample resulted in 100% engraftment within 31+/-10 days. Genomic DNA and total RNA were isolated from 150 (AML: 16Pt+33PDX; MLL 2Pt+6PDX; B-ALL 17Pt+38PDX; T-ALL 19Pt+19PDX) samples. Adaptor ligated sequencing libraries were captured by solution hybridization using baitsets for 405 cancer-related genes and selected introns for 31 genes frequently rearranged for DNA-seq, and 405 cancer-related and 265 genes frequently rearranged for RNA-seq. All libraries were sequenced averaging 〉 500x for DNA and 〉 6M total pairs for RNA (HiSeq). We detected on average 23+/-12 including a mean 5+/-4 known pathogenic variants such as CDKN2A/B deletion (20/13); FLT3 (SNV & -ITD) and NOTCH (11 ea); WT1 and TP53 (10 ea); NRAS (9); PTPN11 (7); NPM1c, PTEN, and KRAS (6) DNMT3A, IDH1/2, and ASXL1 (5 ea); FBXW7, CEBPA, and TET2 (4 ea); PHF6 and NF1 (3 ea); IKZF1, ATM, and JAK2 (2 ea). Analyses of fusion RNA molecules detected known fusions: MLL-AF4 (4); MLL-AF9 (2), CRLF2-P2RY8, ETV6-RUNX1 or TEL-AML1, PBX1-TCF3 (2 ea); MLL-AF10, MLL-ELL, MLL-EP300, MLL-PTD, BCR-ABL, BCL2-IGK, MYH11-CBFB, along with novel fusions: TCF3-OAZ1, RB1-RCBTB2, PAX5-FLI1, and PAX5-MSI2. The mutations found in the 54 patient samples were consistently identified in the 96 PDX, however some cases showing variation in allele frequency between diagnostic and engrafted samples. Collectively, all 1420 and 288 disease relevant variant allele frequency (VAF) correlated significantly between patient and PDX samples (R2=0.55, R2=0.43), respectively. We then assessed VAF changes from diagnostic to PDX sample as a measure of clonal concordance. Diagnostic and PDX sample were considered discordant if at least one disease relevant VAF demonstrated significant variation between these samples, accounted for small variability of infrequent variances considering SD of sequencing detection. 31 samples were scored as concordant and 23 as discordant which were similarly distributed between disease lineages and did not correlate with diseases status, future relapse or overall survival. Using the same rules we further accessed concordance only between PDX samples in 23 cases when patient samples were transplanted into multiple mice. All 10 groups of PDX samples that were concordant with patient samples were also concordant within the groups. 5 groups of PDX samples that were discordant with patient samples were concordant within groups. 8 groups of PDX samples that were discordant with patient samples were also discordant within their groups. Overall 15 samples produced concordant engraftment in mice and 8 samples produced discordant engraftment. We hypothesized that specific genomic lesions in the 8 groups might underline this discordance. Mutations of FLT3, RAS, TP53, PTPN11 and NOTCH1 correlated with clonal discordance. These findings show that the leukemias that are engrafted in mice mirror the genomic diversity of primary leukemia samples, and that the majority of PDX samples have a genotype similar to that observed in the clinical isolate. More importantly, our data demonstrate the feasibility of developing a large, genetically annotated bank of PDX leukemia models that can be used to test and credential novel therapeutics that target driver mutations in different leukemia subsets. Disclosures Stein: Seattle Genetics, Inc.: Research Funding; Janssen Pharmaceuticals: Consultancy. Wang:Foundation Medicine Inc: Employment. Miller:Foundation Medicine: Employment. Armstrong:Epizyme: Consultancy.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V124.21.286.286

Language: English

Publisher: American Society of Hematology

Publication Date: 2014

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 3082-3082

Abstract: Myelodysplastic syndromes (MDS) and chronic myelomonocytic leukemia (CMML) are hematological disorders at high risk of progression to acute myeloid leukemia (sAML). Previous high-throughput sequencing studies have provided insight into the mutational dynamics and clonal evolution underlying disease progression. However, large serial sequencing studies are still required to define which type of mutations alone or in combination contribute to leukemic transformation. To assess the mutational profiles and mutational dynamics underlying progression from MDS to sAML, a targeted-deep sequencing (TDS) of 117 MDS/AML related-genes was performed in 110 bone marrow serial samples from 50 MDS/CMML patients who evolved to sAML and 5 patients who did not evolved (controls), at two different time-points: at the time of diagnosis and at sAML progression or after a median of 3 year follow-up, respectively. A total of 269 mutations in 57 different genes were identified at second sampling. At diagnosis, all patients, progressing and not progressing (controls), presented similar number of mutations (p=0.15). Moreover, patients evolving to sAML were then divided by FAB/WHO subtypes at diagnosis (CMML, low-risk and high-risk MDS subgroups) and no differences were observed in the number of mutations (p=0.71) and variant allele frequency (VAF) between each group (p=0.63). It should be noted that mutations in the splicing pathway were significantly more frequent in low-risk MDS patients (89% low-risk MDS vs. 56% high risk MDS, p=0.038). However, after progression, those patients who evolved to sAML displayed a statistically significant increase of mutations (p=0.001) at the leukemic phase, while controls did not at the follow-up sample (p=0.88). This higher number of mutations at second sampling in patients who evolved to sAML, independently of their diagnostic subtype, may be indicative of a higher genomic instability during disease evolution. To study the mutational dynamics and what mutations could be important during disease evolution, the VAFs of mutations detected at both time-points in each patient of transformation cohort were compared. We observed that some mutations identified at the sAML stage (163 mutations) were already present at the MDS stage, at clonal or subclonal levels, and were retained during evolution, for example in genes such as SRSF2 and DNMT3A. However, 106 mutations increased in clonal size or were newly acquired. Interestingly, most of mutations in Ras signaling pathway showed a same pattern: they were not present at time of diagnosis and appeared at sAML. In fact, mutations in this pathway were detected in 25 of 50 patients (50%) included in this cohort and in 22 of them (88%) mutations displayed this dynamic. Therefore, in this study, Ras signaling was the most common pathway involved in the progression from MDS to sAML. Of note, 9 of these patients (18% of the whole cohort) presented, independently of diagnosis, a co-occurring cohesin mutation, that was already present at diagnosis and, in most cases, markedly increased in clonal size at sAML. Thus, the combination of mutations in these two pathways could play an important role during disease evolution. In addition, 22 of 50 patients were treated with a disease-modifying agent (18 azacytidine and 4 lenalidomide) before they progressed to sAML, while the remaining 28 patients received no treatment or supportive care and were considered as non-treated. Thus, we studied the effect of disease-modifying therapy on mutational dynamics in this cohort of patients progressing to sAML. In the treated patients, a higher proportion of newly acquired or increasing mutations at sAML in chromatin modifiers was observed, while in non-treated patients most mutations remained stable (61% vs. 28.6%, p=0.013). By contrast, regarding treatment, no differences were detected in the mutational dynamics of cohesin (p=0.56) or Ras pathway (p=1.00). MDS progression to sAML was characterized by a higher genomic instability, independently of MDS subtypes of patients at diagnosis. Ras signaling was the most frequent affected pathway during disease evolution in this cohort and, interestingly, the co-occurrence of Ras signaling and cohesin mutations could play an important role in the progression. Moreover, mutations in chromatin modifiers genes could be related to the evolution of patients who received disease-modifying treatment before progression to sAML. Disclosures Olivier: Celgene: Honoraria; Jassen: Honoraria. Díez-Campelo:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2018-99-118224

Language: English

Publisher: American Society of Hematology

Publication Date: 2018

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detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 4200-4203

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2022-163058

Language: English

Publisher: American Society of Hematology

Publication Date: 2022

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 134, No. Supplement_1 ( 2019-11-13), p. 694-694

Abstract: Continuous treatment with lenalidomide (R) and dexamethasone (d) is a standard of care for multiple myeloma (MM) patients (pts) not candidates for autologous stem cell transplantation (ASCT). As previously reported, the addition of Clarithromycin (C) to Rd has proven to be safe and effective, and case-control analyses suggested a significant additive value with the combination. C optimizes the therapeutic effect of glucocorticoids by increasing the area under the curve, has immunomodulatory effects and may have direct antineoplastic properties. However, there are not randomized phase III trials confirming these results. GEM-Claridex in an open, randomized, phase III trial for untreated newly diagnosed MM pts ineligible for ASCT. Enrolled pts were randomly assigned 1:1 to receive 28-day cycles of R (25mg po qd days 1-21), d (40mg po [20mg in pts & gt;75 years], days 1, 8, 15 and 22) plus or minus C (500mg po bid) until disease progression or unacceptable toxicity. The primary endpoint was progression-free survival (PFS). Secondary endpoints included overall response rate (ORR), overall survival (OS) and minimal residual disease (MRD) negativity rate and safety. MRD was evaluated in 99 pts using Euroflow NGF (limit of detection, 2x10-6). As expected, most pts in CR were tested for MRD whereas the majority of pts with missing MRD data achieved VGPR or less and were thus considered as MRD-positive for intent to treat analyses. Two hundred and eighty-eight pts were included (144 to C-Rd and 144 to Rd). Median age was 76 (range: 65-93), 36.8% of pts had ISS 3 and 15.6% presented with high-risk cytogenetic abnormalities. Key baseline characteristics were well balanced between the two arms. The addition of C to Rd resulted in deeper responses with a ≥ complete response (CR) rate of 20.1% in the C-Rd arm compared to 11.2% in the Rd arm (p = 0.037). Also, the ≥ very good partial response (VGPR) rate was 52.8% in the C-Rd arm as compared to the 37.1% in the Rd arm (p = 0.007). MRD analysis was performed at suspected CR and yearly afterwards. On intent-to-treat, 5/144 (3,5%) and 9/143 (6,2%) of pts achieved undetectable MRD with C-Rd and Rd, respectively (p = 0,7). With a median follow-up of 16 months (range, 1-47), no significant differences were observed in PFS: in the C-Rd arm the median was 23 months and has not been reached in the Rd arm (p = 0.09); furthermore, although disease progression and/or death rate was comparable in both arms (C-Rd: 57/144 [39.6%] vs Rd: 45/144 [31.2%] ), a trend towards shorter PFS was observed in the C-Rd group (Figure 1). This effect was less evident in younger ( & lt;75) pts (median PFS, C-Rd: 24 months vs Rd NR, p = 0,588) but, in older pts (≥ 75), the addition of C to Rd resulted into a significant deleterious effect on PFS (median PFS, C-Rd: 19 vs Rd 28 months, p = 0.03) (Figure 2a and 2b). Irrespectively of treatment arm, pts with MRD negative had significantly longer PFS (NR vs 26 months, p = 0,03). Concerning OS, no differences have been identified (p = 0.41), although median has not been reached yet in any arm. Out of the 33 and 28 deaths documented in the C-Rd and Rd arms respectively, the percentage of pts dying w/o documented PD was significantly higher in the C-Rd group (27/33 [82%] vs 13/27 [48%] , p = 0.004). Furthermore, in the C-Rd arm, the most frequent causes of death were severe infections (14/27 [52%] and cardiovascular events 6/27 [22%] ) the majority of them occurring in older (≥75) pts (20/27, 74%). The most common G3-4 adverse events (AE) in the C-Rd and Rd arms were hematologic (neutropenia: 10,4% vs 16,7% [p = ns] and anemia: 2,1% vs 6,9% [p = 0,04] , respectively). G3-4 infections occurred in 16% of cases in both arms and were the most frequent non-hematological AE. 7% of pts in both arms developed G3-4 GI toxicity and there were no differences between the two arms in G3-4 skin-related AEs (2,8% vs 3,5%). Only one case of invasive SPM (colon cancer) in the C-Rd arm was reported. In conclusion, the addition of C to Rd in transplant ineligible newly diagnosed MM pts significantly increases the rate and depth of responses but it is not associated with an improved PFS and OS due to a higher proportion of deaths in the C-Rd arm, mostly infectious, in pts & gt; 75 years and being early deaths. Overexposure to steroids due to the delayed clearance induced by C in this elderly population could explain our results. Figure Disclosures Puig: The Binding Site: Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Rosinol Dachs:Janssen, Celgene, Amgen and Takeda: Honoraria. De Arriba:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Honoraria. Oriol:Celgene Corporation: Consultancy, Speakers Bureau; Takeda: Consultancy, Speakers Bureau; Janssen: Consultancy; Amgen: Consultancy, Speakers Bureau. De La Rubia:AbbVie: Consultancy; AMGEN: Consultancy; Celgene Corporation: Consultancy; Takeda: Consultancy; Janssen: Consultancy. Amor:Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Martín Sánchez:GILEAD SCIENCES: Research Funding. Rossi:BMS: Research Funding; Janssen, Celgene, Amgen: Consultancy. Coleman:Merck: Research Funding; Pharmacyclics: Speakers Bureau; Kite Pharmaceuticals: Equity Ownership; Gilead, Bayer, Celgene: Consultancy, Research Funding, Speakers Bureau. Paiva:Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche, and Sanofi; unrestricted grants from Celgene, EngMab, Sanofi, and Takeda; and consultancy for Celgene, Janssen, and Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria. Bladé:Jansen, Celgene, Takeda, Amgen and Oncopeptides: Honoraria. Niesvizky:Takeda, Amgen, BMS, Janssen, Celgene: Consultancy, Research Funding. Mateos:EDO: Membership on an entity's Board of Directors or advisory committees; Pharmamar: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Adaptive: Honoraria.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2019-123997

Language: English

Publisher: American Society of Hematology

Publication Date: 2019

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detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 136, No. Supplement 1 ( 2020-11-5), p. 24-25

Abstract: Diffuse large B-cell lymphoma (DLBCL) is an aggressive and heterogeneous disease with variable prognosis associated with clinical features, cell-of-origin and genetic aberrations. The main problems for DLBCL patients are that a substantial percentage of them (30-40%) are refractory to treatment or relapse and the lack of accurate predictive markers that adequately determine which patients will benefit from immunochemotherapy. Several recent deep-sequencing studies have proposed new genetic subtypes based on the DLBCL genomic profile (Wright et al., 2020; Lacy et al. 2020) and associated with clinical outcome. However, a consensus and validated classification is still needed. The aim was to determine whether genetic alterations of individual genes or genes clustered in pathways are associated with clinical outcome in immunochemotherapy-treated patients. We used targeted massive sequencing to analyze 84 diagnostic samples from a multicentric cohort of patients with DLBCL treated with rituximab-containing therapies with a median follow up of 6 years. A two-step genetic classifier was built with mutation information from 27 genes and BCL2/BCL6 translocations, based on recently proposed genetic subtypes (Wright et al., 2020; Lacy et al. 2020). Logistic regression and Kaplan-Meier analyses for survival and risk of relapse were performed to assess the potential clinical value of the classifier. Moreover, this two-step classifier was validated in an external cohort and its specificity and sensitivity were tested to determine its accuracy in classifying patients compared to the previous approaches. We found that the most frequently mutated genes were IGLL5 (43%), KMT2D (33.3%), CREBBP (28.6%), PIM1 (26.2%), and CARD11 (22.6%). Mutations in CD79B, PRDM1, and NOTCH2 were associated with a higher risk of relapse after treatment, whereas patients with mutations in CD79B, ETS1, PRDM1, and TNFAIP3 had significantly shorter survival. Analyzing the impact of gene mutations on predefined gene sets related to lymphomagenesis revealed that mutations in genes involved in B-cell development, and BCR-PI3K and MAPK-ERK pathways were significantly associated with a higher risk of relapse and/or shorter overall survival. These results confirmed the current landscape of genetic alterations in DLBCL. According to the two-step classifier, we categorized the samples into MCD, BN2, EZB, ST2, and N1 genetic subgroups (Figure). We tested the accuracy of our classification in an external series (UK population-based Haematological Malignancy Research Network cohort [HMRN]) to determine its specificity and sensitivity compared with their own classification (Lacy et al. 2020) and the LymphGen algorithm (Wright et al., 2020). The comparison demonstrated (Wright et al., 2020; Lacy et al. 2020), a specificity and sensitivity higher than 85% for each subtype, except for BN2. This controversy may be explained by the fact that BN2 is less strongly defined than the other subtypes. We then tested their clinical impact and found the EZB and ST2 subtypes to have a better clinical course and a lower risk of relapse. The BN2 group had the worst clinical outcome of our series, unlike other published studies (Figure). These results were validated in the HMRN cohort, in which N1 showed a higher risk of relapse and shorter overall survival, whereas ST2 is the group with the most favorable outcome. Although N1 was not included for clinical outcome analysis in our cohort due to the small number of cases, the validation of our classifier defined N1 as the most aggressive subtype. In summary, we propose and validate a feasible genetic DLBCL classifier based on an optimized panel of genes that unifies previous genetic classification algorithms in such a way as to facilitate its implementation as part of pathology laboratories for routine patient management. This genetic classifier, combined with clinical data and other molecular characteristics, should eventually help develop improved risk models for DLBCL patients, and guide precision therapy. Figure Disclosures Perez Callejo: F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2020-141193

Language: English

Publisher: American Society of Hematology

Publication Date: 2020

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In: Blood, American Society of Hematology, Vol. 128, No. 22 ( 2016-12-02), p. 4309-4309

Abstract: Introduction: Myelodysplastic syndromes (MDS) are hematological disorders at high risk of progression to acute myeloid leukemia (AML). Although, next-generation sequencing has increased our understanding of the pathogenesis of these disorders, the dynamics of these changes and clonal evolution during progression have just begun to be understood. This study aimed to identify the genetic abnormalities and study the clonal evolution during the progression from MDS to AML. Methods: A combination of whole exome (WES) and targeted-deep sequencing was performed on 40 serial samples (20 MDS/CMML patients evolving to AML) collected at two time-points: at diagnosis (disease presentation) and at AML transformation (disease evolution). Patients were divided in two different groups: those who received no disease modifying treatment before they transformed into AML (n=13), and those treated with lenalidomide (Lena, n=2) and azacytidine (AZA, n=5) and then progressed. Initially, WES was performed on the whole cohort at the MDS stage and at the leukemic phase (after AML progression). Driver mutations were identified, after variant calling by a standardized bioinformatics pipeline, by using the novel tool "Cancer Genome Interpreter" (https://www.cancergenomeinterpreter.org). Secondly, to validate WES results, 30 paired samples of the initial cohort were analyzed with a custom capture enrichment panel of 117 genes, previously related to myeloid neoplasms. Results: A total of 121 mutations in 70 different genes were identified at the AML stage, with mostly all of them (120 mutations) already present at the MDS stage. Only 5 mutations were only detected at the MDS phase and disappeared during progression (JAK2, KRAS, RUNX1, WT1, PARN). These results suggested that the majority of the molecular lesions occurring in MDS were already present at initial presentation of the disease, at clonal or subclonal levels, and were retained during AML evolution. To study the dynamics of these mutations during the evolution from MDS/CMML to AML, we compared the variant allele frequencies (VAFs) detected at the AML stage to that at the MDS stage in each patient. We identified different dynamics: mutations that were initially present but increased (clonal expansion; STAG2) or decreased (clonal reduction; TP53) during clinical course; mutations that were newly acquired (BCOR) or disappearing (JAK2, KRAS) over time; and mutations that remained stable (SRSF2, SF3B1) during the evolution of the disease. It should be noted that mutational burden of STAG2 were found frequently increased (3/4 patients), with clonal sizes increasing more than three times at the AML transformation (26 〉 80%, 12 〉 93%, 23 〉 86%). Similarly, in 4/8 patients with TET2 mutations, their VAFs were double increased (22 〉 42%, 15 〉 61%, 50 〉 96%, 17 〉 100%), in 2/8 were decreased (60 〉 37%, 51 〉 31%), while in the remaining 2 stayed stable (53 〉 48%, 47 〉 48%) at the AML stage. On the other hand, mutations in SRSF2 (n=3/4), IDH2 (n=2/3), ASXL1 (n=2/3), and SF3B1 (n=3/3) showed no changes during progression to AML. This could be explained somehow because, in leukemic phase, disappearing clones could be suppressed by the clonal expansion of other clones with other mutations. Furthermore we analyzed clonal dynamics in patients who received treatment with Lena or AZA and after that evolved to AML, and compared to non-treated patients. We observed that disappearing clones, initially present at diagnosis, were more frequent in the "evolved after AZA" group vs. non-treated (80% vs. 38%). By contrast, increasing mutations were similar between "evolved after AZA" and non-treated patients (60% vs. 61%). These mutations involved KRAS, DNMT1, SMC3, TP53 and TET2among others. Therefore AZA treatment could remove some mutated clones. However, eventual transformation to AML would occur through persistent clones that acquire a growth advantage and expand during the course of the disease. By contrast, lenalidomide did not reduce the mutational burden in the two patients studied. Conclusions: Our study showed that the progression to AML could be explained by different mutational processes, as well as by the occurrence of unique and complex changes in the clonal architecture of the disease during the evolution. Mutations in STAG2, a gene of the cohesin complex, could play an important role in the progression of the disease. [FP7/2007-2013] nº306242-NGS-PTL; BIO/SA52/14; FEHH 2015-16 (MA) Disclosures Del Cañizo: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jansen-Cilag: Membership on an entity's Board of Directors or advisory committees, Research Funding; Arry: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V128.22.4309.4309

Language: English

Publisher: American Society of Hematology

Publication Date: 2016

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In: Blood, American Society of Hematology, Vol. 141, No. 3 ( 2023-01-19), p. 309-314

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.2022017439

Language: English

Publisher: American Society of Hematology

Publication Date: 2023

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 137, No. 14 ( 2021-04-8), p. 1879-1894

Abstract: The need for allogeneic hematopoietic stem cell transplantation (allo-HSCT) in adults with Philadelphia chromosome–negative (Ph−) acute lymphoblastic leukemia (ALL) with high-risk (HR) features and adequate measurable residual disease (MRD) clearance remains unclear. The aim of the ALL-HR-11 trial was to evaluate the outcomes of HR Ph− adult ALL patients following chemotherapy or allo-HSCT administered based on end-induction and consolidation MRD levels. Patients aged 15 to 60 years with HR-ALL in complete response (CR) and MRD levels (centrally assessed by 8-color flow cytometry) & lt;0.1% after induction and & lt;0.01% after early consolidation were assigned to receive delayed consolidation and maintenance therapy up to 2 years in CR. The remaining patients were allocated to allo-HSCT. CR was attained in 315/348 patients (91%), with MRD & lt;0.1% after induction in 220/289 patients (76%). By intention-to-treat, 218 patients were assigned to chemotherapy and 106 to allo-HSCT. The 5-year (±95% confidence interval) cumulative incidence of relapse (CIR), overall survival (OS), and event-free survival probabilities for the whole series were 43% ± 7%, 49% ± 7%, and 40% ± 6%, respectively, with CIR and OS rates of 45% ± 8% and 59% ± 9% for patients assigned to chemotherapy and of 40% ± 12% and 38% ± 11% for those assigned to allo-HSCT, respectively. Our results show that avoiding allo-HSCT does not hamper the outcomes of HR Ph− adult ALL patients up to 60 years with adequate MRD response after induction and consolidation. Better postremission alternative therapies are especially needed for patients with poor MRD clearance. This trial was registered at www.clinicaltrials.gov as # NCT01540812.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.2020007311

Language: English

Publisher: American Society of Hematology

Publication Date: 2021

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detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 3658-3658

Abstract: Introduction The ETV6-RUNX1 fusion gene,the most common subtype of childhood pB-ALL, is acquired in utero, producing a persistent and hidden preleukemic clone. However, the underlying mechanism explaining how the preleukemic clone evolves to pB-ALL remains to be identified. The lack of genetically engineered human-like ETV6-RUNX1 pB-ALL models has hampered our understanding of the pathogenesis of this disease. Methods We have used a novel experimental approach to generate a murine strain that mimics the human ETV6-RUNX1 pB-ALL. We expressed ETV6-RUNX1 specifically in hematopoietic stem cells (HSC) of C57BL/6 x CBA mice by placing ETV6-RUNX1 under the control of the Sca1 promoter. Two founder mice were obtained for the Sca1-ETV6-RUNX1 transgene, which had normal gestation, were viable and developed normally. Sca1-ETV6-RUNX1 transgenic mice were characterized with respect to clinical, immunephenotypic and genetic characteristics. For the detection of shared secondary genomic alterations we analyzed three murine Sca1-ETV6-RUNX1 and 11 ETV6-RUNX1 positive human pB-ALL and corresponding germline by whole-exome (WES) and whole-genome sequencing using a HiSeq 2500 (Illumina) platform. Results In our transgenic murine model Sca1-ETV6-RUNX1 transgene expression was detected in HSCs, while there was no detectable expression in pro B cells or later stages of B-cell development, which mimics human ETV6-RUNX1 preleukemic biology. Sca1-ETV6-RUNX1 mice developed exclusively pB-ALL at a low penetrance (7.5%; 3 out of 40) with a CD19+ B220+ IgM- cell surface phenotype. Overall survival was not significantly reduced compared to wild-type mice (P value = 0.7901). pB-ALL in Sca1-ETV6-RUNX1 mice manifested with splenomegaly, disruption of splenic architecture, and appearance of blast cells in the peripheral blood (PB). All leukemic cells displayed clonal immature BCR rearrangement. Tumor pro B cells grew independent of IL-7 and were able to propagate the disease when transplanted into sub-lethally irradiated syngeneic recipient mice. Whole-exome sequencing of murine pB-ALL revealed in one mouse a deletion of three amino acids in the B-cell differentiation factor EBF1, which is well known in the context of human ETV6-RUNX1 leukemia. Additionally we found mutations in genesimplicated in histone modification, i.e. in KDM5C causing a premature translation stop. We compared the genomic alterations detected in the mouse model to published genomic data of pediatric ETV6 -RUNX1 pB-ALL and identified multiple copy number variations, which are shared between the murine and human ETV6 -RUNX1 pB-ALL. Among them were copy number gains and losses including i.e. the tumorsuppressor locus CDKN2A/B with a well-known role in human and mouse pB-ALL. A high proportion of genes implicated in histone modification was also mutated in published data of human ETV6-RUNX1 positive pB-ALL. We validated this novel finding of recurrent alterations of histone modifying genes in both the murine model and the human disease using an independent human ETV6-RUNX1 cohort of 11 patients. In this cohort were able to reproduce this finding. Similar to the murine model, we also detected a missense mutation in the methyltransferase KDM5C in one patient of our cohort of ETV6-RUNX1 positive patients. Conclusion In summary, we have characterized a new Sca1-ETV6-RUNX1 mouse model and this is, to our knowledge the first model, which represents a phenocopy of the human pB-ALL. Sca1-ETV6-RUNX1 mice develop exclusively pB-ALL at a very low penetrance as it is the case in human ETV6-RUNX1 positive pB-ALL. The acquisition of secondary mutations in pB-ALL with a high proportion in histone modifying genes confers the second hit for the conversion of a preleukemic clone into the clinically overt ETV6-RUNX1 positive pB-ALL disease. These findings are important for encouraging novel interventions that might help to prevent or treat ETV6-RUNX1 positive childhood leukemias. Disclosures No relevant conflicts of interest to declare.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood.V126.23.3658.3658

Language: English

Publisher: American Society of Hematology

Publication Date: 2015

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 140, No. Supplement 1 ( 2022-11-15), p. 6815-6818

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2022-158902

Language: English

Publisher: American Society of Hematology

Publication Date: 2022

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7