Analysis of Clonal Hierarchy Shows That Other Ancestral Events May Precede Evolution of Del(5q) in Myeloid Neoplasms

Abstract The molecular pathogenesis of myeloid neoplasms characterized by 5q deletion (del(5q)) has not been completely elucidated. While some pathomorphologic features including e.g., megakaryocytic and erythroid dysplasia, have been associated with specific genes within minimal common deleted regions (CDR), genes responsible for clonal advantage and expansion have not been identified. It is not clear if haploinsufficiency of one or multiple genes within del(5q) is responsible for clonal evolution or whether mutations in those genes or other genes located in other genomic areas are present. Moreover, with the recognition of intra-tumor diversity and hierarchical clonal architecture, it may be possible to establish whether del(5q) or other lesions, including common somatic mutations, constitute the ancestral event in the pathophysiologic cascade. We performed a comprehensive mutational screen in 124 patients with del(5q), including 59 patients studied by whole exome sequencing (WES) and 65 by targeted deep NGS of genes within the deleted area and the other most commonly mutated genes as previously determined in WES cohorts. To identify pathogenic genes, those most consistently found to be haploinsufficient in del(5q) were matched for the presence of mutations in diploid cases. For the purpose of this study haploinsufficiency was quantitated based on the number of cases with del(5q) showing <60% expression of the corresponding genes. E.g.,HDAC3 in 81%, PPP2CA in 62% and RPS14 in 14% of cases with del(5q). For all somatic mutations, we also describe the clonal composition based on deep sequencing in serial samples and analyses of variant allelic frequency. Finally, we compare the clonal size for individual mutations with that of del(5q). The latter was accomplished by calculation of clonal size based on allelic imbalance for informative SNPs present within deleted regions in heterozygous configurations in germ line samples. The average deviation from the ideal 50/50 distribution in tumor samples allowed for precise calculation of the proportion of cells in the sample affected by the deletion. Using this approach, there was a good correlation to the size of del(5q) clone by FISH (r=.94) Our results demonstrate that 10/14 genes were haploinsufficient within the CDR, but only 2 hemizygous somatic mutations were identified. However, 12 mutations in 7 genes (MATR3, SH3TC2, CSNK1A1, PDGFRB, CD74, FAT2 and G3BP1) were present with the area corresponding to the CDR in diploid cases. TP53 mutations were more commonly associated with del(5q) (73%, vs. 27% in diploid 5, p<.001) and were particularly frequent in patients affected with 2 commonly retained regions (CRR1;5q11.1-5q14.2 and CRR2; 5q34-qter), where they were found in 81% of cases (30/37) vs. 19% (7/30) among CDR deletions (p<.001). In lower-risk MDS, mutations were detected in 11% of deletion cases, whereas they were only found in 5% of diploid chr5 (p<.0001). In higher-risk MDS, TP53 mutation were found in 42% of del(5q) vs. 4% of diploid chr5 (p<.0001). Similarly, 45% patients with concomitant -7/del(7q) and del(5q) had TP53 mutations. The most common mutation associated with del(5q) was TP53, while mutations of FLT3, NRAS or TET2 were significantly mutually exclusive (p=0.03, 0.04 and 0.03; respectively). Next we determined the earliest somatic event by comparing of clonal size of the associated lesions. Del(5q) was present in 17-98% of tumor cells. We identified three theoretical possibilities as to the clonal architecture of del(5q) myeloid neoplasms: i) Tumors in which driver somatic mutations precede del(5q) (35%), ii) those in which del(5q) appears to precede any other somatic mutation (6%) and iii) the succession cannot be determined because of very expanded clones of similar size (“clonal saturation”) i.e., these cases were not informative. For cases in which del(5q) was a secondary lesion, TP53 was the ancestral event 64% of the time, and DNMT3A 27% of the time. The TP53 mutation was detected as a secondary event in 1 of 2 samples in which del(5q) was found to be ancestral. In sum, our results suggest that del(5q) is not universally an ancestral event. The TP53 mutation is the most common mutation in del(5q) and may also serve as ancestral event. While UPD17p and hemizygocity for TP53 can be found in 33% of TP53 mutant cases, most of the detected TP53 mutations were likely to heterozygous, and therefore the clonal size was not overestimated. Disclosures Sekeres: Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen Corp: Membership on an entity's Board of Directors or advisory committees; Boehringer-Ingelheim Corp: Membership on an entity's Board of Directors or advisory committees.

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The Complete Mutatome and Clonal Architecture of Del(5q)

Blood ◽

10.1182/blood.v126.23.608.608 ◽

2015 ◽

Vol 126 (23) ◽

pp. 608-608

Author(s):

Vera Ademà ◽

Laura Palomo ◽

Przychodzen P Bartlomiej ◽

Diez-campelo Maria ◽

Naoko Hosono ◽

...

Keyword(s):

Board Of Directors ◽

Medical Laboratory ◽

Primary Defect ◽

Advisory Committees ◽

Clone Size ◽

Cross Sectional ◽

Deletion Event ◽

Tp53 Mutations ◽

Clonal Architecture ◽

Associated Lesions

Abstract Cytogenetic abnormalities are found in around half of MDS patients (pts) and have both clinical impact and may be subtype-defining, e.g. in 5q-syndrome. Interstitial deletion of the long arm of chr.5 [del(5q)] is the most common aberration (almost 20% of cases with abnormal cytogenetics). Del(5q) is heterogeneous, occurring as a sole abnormality or in combination, with the deleted region often truncated within or extended and/or beyond the CDR boundaries. Isolated del(5q) is frequently shorter and confers a more favorable prognosis with regard to survival and lenalidomide (LEN) responsiveness, while del(5q) in the context of a complex karyotype (CK) imparts a poor prognosis. In addition to chromosomal lesions, somatic mutations can contribute to the pathogenesis of MDS, including del(5q). We theorized that recognition of molecular defects in MDS with del(5q) may clarify the pathogenic mechanisms behind this lesion and help explain the clinical heterogeneity. We analyzed 225 pts with myeloid neoplasia and del(5q) using WES (n= 107 samples) and targeted multiplexed PCR (top 60 most frequently mutated genes) (n =133 samples); serial analysis was performed in 15 pts studied at ≥2 time points, 11 during LEN therapy and 4 upon relapse/progression. A total of 116 samples had a CK with other lesions such as -7/del(7q) found in 31% cases, and 18% had -17/del(17p). WES (average depth >60x) was followed by a bioanalytic pipeline, detecting ≥1 mutated gene in 71% of cases. Candidate somatic alterations were found in 357 genes and selected for further analysis. When focused on hemizygous mutations within the retained 5q allele, CSNK1A1 mutations were the most common, found in 4 pts, while other genes were only sporadically affected. Among heterozygous mutations on the non-deleted portion of del(5q) and other chromosomes (Chr), we found several novel mutations, in addition to TP53 (n=26), DNMT3A (n=8), PRPF8 (n =8), RUNX1 (n=5), TET2 (n=5), and ASXL1 (n=4), among others. Furthermore, LOH/haploinsuffciency of genes on 7q (e.g., LUC7L2, CUX1, EZH2 and MLL3) appears to be a common defect seen in pts with non-isolated del(5q), suggesting synergistic functional defects. When functionally grouping gene mutations, DNA methylation family (8 cases) and transcription factor mutations (29 cases) were associated with advanced disease (AD) and a CK. Heterozygous mutations in TP53 (34%) or deletions involving the TP53 locus (23%) resulted in total of 42% of cases carrying either TP53 LOH or mutation. TP53 lesions were more common in pts with AD vs. low risk. (21 vs. 5 p =.0008). In contrast, TP53 mutations are found in 8-10% of cases of MDS. A total of 34 pts were treated with LEN and subgrouped into responders (n=17) vs. refractory (n=9) with an overall response rate of 65%. When mutational profiles were compared, the presence of TP53 mutations did not preclude responsiveness to LEN. CK was present in 12% of responders vs. 67% of refractory pts. The most frequent Chr abnormalities were -7/7q (0% vs. 67% in responders vs. refractory) and 17p-(6% vs. 67% in responders vs. refractory) suggestive of their role in LEN resistance. In addition to cross sectional analysis, our WES study using paired Germline/tumor samples followed by deep sequencing facilitated analyses of clonal architecture by examining clonal dynamics over time. Assessment of del(5q) clone size by allelic imbalance combined with clonal burden by VAF allowed us to reconstruct the clonal hierarchy: in 73% of cases, del(5q) appeared to be the initial defect followed by subsequent mutations (e.g., TP53, DNMT3A, IDH2). In contrast, in 24% of cases, TP53, RUNX1, JARID2, were the primary defect followed by a subclonal del(5q) events. Serial samples collected before and after therapy demonstrated that responses were associated with decreased clonal burden for del(5q) but persistence of certain mutations. In refractory cases, persistent subclonal lesions and the appearance of new lesions were associated with progression. For example, pts with TP53, LAMB4, EPHA6 progressed and acquired additional lesions such as CSMD2 or KCND2, and did not see the disappearance of TP53 alterations upon treatment. In conclusion, no unifying somatic defect was found in pts with del(5q) regardless if the deletion event was primary or subclonal. Most commonly associated lesions were not present on the retained 5q alleles but rather other chr yet modified clinical behavior, including responsiveness to LEN. Disclosures Bejar: Celgene: Consultancy, Honoraria; Alexion: Other: ad hoc advisory board; Genoptix Medical Laboratory: Consultancy, Honoraria, Patents & Royalties: MDS prognostic gene signature. Sekeres:Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; TetraLogic: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees.

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Mutation Profiling of Therapy-Related Myeloid Neoplasms Using Next-Generation Sequencing Demonstrates Distinct Profiles from De Novo Disease

Blood ◽

10.1182/blood.v124.21.4611.4611 ◽

2014 ◽

Vol 124 (21) ◽

pp. 4611-4611

Author(s):

Alan H. Shih ◽

Franck Rapaport ◽

Stephen S. Chung ◽

Emily K Dolezal ◽

Sean Hobson ◽

...

Keyword(s):

Next Generation Sequencing ◽

Board Of Directors ◽

Tp53 Mutation ◽

Somatic Mutations ◽

De Novo ◽

Next Generation ◽

Advisory Committees ◽

Myeloid Neoplasms ◽

Mutation Profile ◽

Generation Sequencing

Abstract Therapy-related Myeloid Neoplasms (tMN) comprise a poor risk subset of myelodysplastic syndromes and acute myelogenous leukemia, are increasing in incidence, and represent a serious complication following treatment for primary malignancies. In our previous study of 11 genes in 38 tMN patient samples, the data suggested that the mutational spectrum of tMN was distinct from de novo myeloid malignancies. To confirm this finding and to refine the tMN mutation profile, we investigated the mutation profile in samples from 88 patients and 28 genes using Sanger and next-generation sequencing approaches. We performed amplification using RainDance microfluidic PCR, followed by HiSeq next-generation sequencing. Mutations were identified using a modified pipeline for SNP calling employing variant detection software programs. Our study cohort included 88 patients, 71 of whom had complete clinical data for analyses. Patients had a history of epithelial and hematologic malignancies (³2 malignancies n=11; breast n=9; colorectal n=5; head and neck n=4; genital-urinary n=6; lung n=1; lymphoma n=25; melanoma n=2; ovarian n=1; sarcoma n=2; other, n=5). Treatment of primary cancers included chemotherapy alone (n=27), radiation alone (n=8), autologous stem cell transplant (n=11), or chemotherapy plus radiation (n=25). The median latency time between primary malignancy treatment and tMN diagnosis was 5.7yrs (range, 0.7 - 30.9 yrs). Median age at tMN diagnosis was 64yrs (range, 26 - 85 yrs). International Prognostic Scoring System (IPSS) risk group for MDS at tMN diagnosis were Low risk (n=8), Int-1 (n=11), Int-2 (n=30), High risk (n=9). We identified somatic mutations in 56 of 88 (64%) patients (83 patients were evaluated by next-generation sequencing and 5 by Sanger sequencing only). Mutations in TP53 were most common and were detected in 27/88 patients (30.7%), followed by mutations in TET2 in 12/88 (13.6%), DNMT3A in 9/88 (10.2%), NRAS in 8/83 (9.6%), KRAS in 5/83 (6.0%), and KIT in 5/83 (6.0%). Gene mutations detected at lower frequencies included those in ASXL1 in 5/88 (5.7%), RUNX1 in 2/83 (2.4%), EZH2 in 1/88 (1.1%), and SF3B1 in 1/88 (1.1%). Of the 58 patients with complete sequencing and FISH data, 4 patients exhibited biallelic somatic TP53 mutations and 3 patients had TP53 mutation combined with del 17p TP53 loss, demonstrating that 7 of 58 evaluable patients (12.1%) experienced biallelic loss of TP53. We also identified biallelic mutations in TET2 and DNMT3A in 2 separate patients. 25 patients had 2 or more concurrent somatic mutations. The highest number of co-occurring mutations in one patient was 5 mutations; 12 patients had 2 somatic mutations. The most common co-occurrence was TP53 and TET2, which was observed in 5 patients. All 5 ASXL1 mutations co-occurred with additional mutations. By analyzing variant allele frequencies (VAFs) in patients with multiple mutations, we observed that some tMN patients harbored multiple clones with distinct VAFs. This observation was also supported by the co-occurrence of typical class I driver mutations in the same patient, (e.g. KRAS 6% and NRAS 21% VAF; NRAS 9% and KIT 34%; NRAS 26% and KIT 9% in individual patients). The allele frequency data also suggested that ASXL1 is likely an early occurring mutation as the VAF was higher than for other co-occurring mutations (mean VAF ASXL1 50%, other co-occurring genes 23.5%, p<.05 t-test). Because of previous reports on the prognostic significance of point mutations in myeloid malignancies (e.g. TP53 in MDS and TET2 in AML), we tested the impact of individual mutations on prognosis. TP53 mutation or loss was associated with worse prognosis in tMN (OS 17.6 vs 25.2 mos, n=72, p<.11 log-rank test) (Fig A). TET2 mutation and KRAS or NRAS mutations did not predict for a difference in prognosis, although analysis was limited by cohort size. TP53 mutation was also associated with del 5q / monosomy 5 (p<.0001, Chi-square test, n=51). Our data reveal that tMNs display distinct mutation profile compared to de novo disease (Fig B). TP53 mutations and loss are the most common abnormalities and predict for adverse outcome. Epigenetic modifier mutations also occur in tMNs and can serve as disease-initiating mutations. Collectively our results demonstrate that characterizing these mutation profiles can enhance our understanding of disease mechanisms in tMNs and may guide the development of future therapies for these difficult to treat disorders. Figure 1 Figure 1. Disclosures Sekeres: Celgene Corp.: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Membership on an entity's Board of Directors or advisory committees.

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Landscape of TP53 Mutations in MPN

Blood ◽

10.1182/blood-2019-132014 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1681-1681

Author(s):

Noushin Farnoud ◽

Christopher Famulare ◽

Elli Papaemmanuil ◽

Erin McGovern ◽

Juan Medina ◽

...

Keyword(s):

Dna Binding ◽

Board Of Directors ◽

Research Funding ◽

Tp53 Mutation ◽

Somatic Mutations ◽

Myeloproliferative Neoplasms ◽

Chronic Phase ◽

Advisory Committees ◽

Tp53 Mutations ◽

Risk Of Progression

Background The Myeloproliferative Neoplasms, including Essential Thrombocythemia (ET), Polycythemia Vera (PV), and Myelofibrosis (MF) are stem cell disorders which carry the risk of progression to accelerated phase or blast-phase (MPN-AP/BP). Among the risk factors for transformation to MPN-AP/BP are TP53 mutations. TP53 mutations are a risk factor for progression to MPN-AP/BP in chronic-phase myeloproliferative neoplasms (MPN) and indeed 30% of patients with MPN-LT bear TP53 mutations. A recent study indicated that TP53 mutations may persist at low levels for years without an immediate risk of progression in some chronic-phase MPN patients [Kubesova et al. Leukemia 2017]. These observations raise the question as to whether the types of TP53 mutations, their frequency, or co-occurring variants differ between MPN subtypes. TP53 mutations are characterized by frameshift, missense, nonsense or silent mutations. Mutations in TP53 have traditionally been considered functionally equivalent in many prognostic studies, but an increased understanding of the effects of distinct mutations on TP53 activity has led to the recognition of the distinct functional significance of these different mutations. The understanding of the landscape of TP53 mutations in MPN and the association between different TP53 mutations and mutational burdens among MPN subtypes may allow more accurate prognostic evaluation and personalized treatment for patients. We therefore sought to assess the landscape of TP53 mutations in MPN subtypes. Methods We performed Next-Generation Sequencing (NGS) on a cohort of 651 samples derived from 439 MPN patients with ET, PV, MF and MPN-AP/BP. The data were from 3 targeted panels with 576, 585 and 156 genes (with 91, 241 and 319 samples; median coverage 500x). Samples were obtained from Memorial Sloan Kettering Cancer Center and the Myeloproliferative Neoplasms Research Consortium. Putative oncogenic mutations were called using a combination of 4 variant callers and by comparison to established cancer databases. The final variants were manually reviewed to guarantee high quality of downstream analysis. Results We identified somatic mutations in 428/439 patients (157 MPN-AP/BP, 140 MF, 67 ET and 64 PV). Of these, 55 patients (~13%) had at least one TP53 mutation with variant allele frequency (VAF) >= 2% (median TP53 VAF= 28%). In total, 68 TP53 somatic mutations were identified. Majority of these patients had a single TP53 mutation (46/55) and some had multiple mutations (7 had two and 2 had four mutations). Mutations were enriched in MPN-AP/BP with 45/68 (66%) occurring in this group followed by 10/68 (15%) in ET, 9/68 (13%) in MF and 4/68 (6%) in PV (panel A). Missense mutations were the most common type of TP53 variants and constituted ~80-90% of all mutations in ET, MF and MPN-AP/BP. Most stop-gains and frameshifts were observed in MF or MPN-AP/BP group. Furthermore, 92% of TP53 mutations are localized on DNA-binding domain (exons 5 to 8; panel B). The latter observation is consistent with results from other human cancers and highlights the role of these mutations in reducing TP53 DNA binding affinity. About 8% of mutations occur in the tetramerization domain of TP53, which is also critical for DNA binding, as well as protein-protein interactions and post-translational modification. We did not identify a significant association between a specific TP53 mutation type and any particular MPN subtype. However, we identified a significant association between TP53 VAF and MPN subtype (panel C); TP53 VAF was significantly higher in MPN-AP/BP compared to ET (p =0.0001) and MF (p =0.016). Conclusion TP53 mutations have important prognostic significance in patients with MPN. However, subgroups of patients with TP53 mutant chronic-phase disease have been observed to have relatively stable clinical course. Our data demonstrate that the spectrum of TP53 mutations, in terms of type and location within the gene, does not appear to differ between ET, PV, MF, or MPN-AP/BP. However, we observe significant difference with regard to the VAF of TP53 mutations, with an association of higher VAF and MPN-AP/BP state. This data argues that the VAF may be an important consideration in assessing the prognostic impact of a TP53 mutation identified in an MPN patient. Data regarding copy number variations in this cohort, co-occurring mutations, and the impact of TP53 mutations on treatment outcomes will be presented. Figure Disclosures Papaemmanuil: Celgene: Research Funding. Rampal:Agios, Apexx, Blueprint Medicines, Celgene, Constellation, and Jazz: Consultancy; Constellation, Incyte, and Stemline Therapeutics: Research Funding. Levine:Prelude Therapeutics: Research Funding; Novartis: Consultancy; Gilead: Consultancy; Loxo: Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Research Funding; Qiagen: Membership on an entity's Board of Directors or advisory committees; Lilly: Honoraria; Amgen: Honoraria; Celgene: Consultancy, Research Funding; Isoplexis: Membership on an entity's Board of Directors or advisory committees; C4 Therapeutics: Membership on an entity's Board of Directors or advisory committees; Imago Biosciences: Membership on an entity's Board of Directors or advisory committees. Mascarenhas:Novartis: Research Funding; Roche: Consultancy, Research Funding; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; CTI Biopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; Promedior: Research Funding; Merus: Research Funding; Pharmaessentia: Consultancy, Membership on an entity's Board of Directors or advisory committees. Hoffman:Merus: Research Funding.

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Dose-Adjusted EPOCH and Rituximab (DA-EPOCH-R) Treatment in Dual Expressor Diffuse Large B-Cell and Double/Triple Hit Lymphomas: TP53 Mutations Influence on Clinical Outcome

Blood ◽

10.1182/blood-2019-124350 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4116-4116

Author(s):

Anna Dodero ◽

Anna Guidetti ◽

Fabrizio Marino ◽

Cristiana Carniti ◽

Stefania Banfi ◽

...

Keyword(s):

High Risk ◽

B Cell ◽

Board Of Directors ◽

Research Funding ◽

Poor Prognosis ◽

Tp53 Mutation ◽

Advisory Committees ◽

Tp53 Mutations ◽

Travel Costs ◽

Large B Cell

Introduction: Diffuse Large B-Cell Lymphoma (DLBCL) is an heterogeneous disease: 30-40% of cases have high expression of MYC and BCL2 proteins (Dual Expressor, DE) and 5-10% have chromosomal rearrangements involving MYC, BCL2 and/or BCL6 (Double-/ Triple-Hit, DH/TH). Although the optimal treatment for those high-risk lymphomas remains undefined, DA-EPOCH-R produces durable remission with acceptable toxicity (Dunleauvy K, Lancet 2018). TP53 mutation is an independent marker of poor prognosis in patients (pts) with DLBCL treated with R-CHOP therapy. However, its prognostic value in poor prognosis lymphomas, receiving intensive therapy, has not been investigated yet. Methods: A series of consecutive pts (n=87) with biopsy proven diagnosis of DE DLBCL (MYC expression ≥40% and BCL2 expression ≥ 50% of tumor cells) or DE-Single Hit (DE-SH, i.e., DE-DLBCL with a single rearrangement of either MYC, BCL2 or BCL6 oncogenes) or DE-DH/TH (MYC, BCL2 and/or BCL6 rearrangements obtained by FISH) were treated with 6 cycles of DA-EPOCH-R and central nervous system (CNS) prophylaxis consisting of two courses of high-dose intravenous Methotrexate. Additional eligibility criteria included age ≥18 years and adequate organ functions. Cell of origin (COO) was defined according to Hans algorithm [germinal center B cell like (GCB) and non GCB)]. TP3 mutations were evaluated by next generation sequencing (NGS) based on AmpliseqTM technology or Sanger sequencing and considered positive when a variant allelic frequency ≥10% was detected. Results: Eighty-seven pts were included [n=36 DE only, n=32 DE-SH (n=8 MYC, n=10 BCL2, n=14 BCL6), n=19 DE-DH/TH] with 40 patients (46%) showing a non GCB COO. Pts had a median age of 59 years (range, 24-79 years). Seventy-three pts (84%) had advanced disease and 44 (50%) an high-intermediate/high-risk score as defined by International Prognostic Index (IPI). Only 8 of 87 pts (9%) were consolidated in first clinical remission with autologous stem cell transplantation following DA-EPOCH-R. After a median follow-up of 24 months, 73 are alive (84%) and 14 died [n=12 disease (n=2 CNS disease); n=1 pneumonia; n=1 suicide]. The 2-year PFS and OS were 71% (95%CI, 60-80%) and 76% (95%CI, 61%-85%) for the entire population. For those with IPI 3-5 the PFS and OS were not significant different for DE and DE-SH pts versus DE-DH/TH pts [64% vs 57% p=0.77); 78% vs 57% p=0.12)]. The COO did not influence the outcome for DE only and DE-SH [PFS: 78% vs 71% (p=0.71); 92% vs 86% (p=0.16) for GCB vs non -GCB, respectively]. Fourty-six pts (53%;n=18 DE only, n=18 DE-SH, n=10 DE-DH/TH ) were evaluated for TP53 mutations with 11 pts (24%) carrying a clonal mutation (n=6 in DE, n=3 in DE-SH, n=2 in DE-DH/TH). The 2-year PFS and OS did not significantly change for pts DE and DE-SH TP53 wild type as compared to DE and DE-SH mutated [PFS: 84 % vs 77%, (p=0.45); OS: 87% vs 88%, (p=0.92)]. The two pts DE-DH/TH with TP53 mutation are alive and in complete remission.Conclusions: High risk DLBCL pts treated with DA-EPOCH-R have a favourable outcome independently from high IPI score, DE-SH and DE-DH/TH. Also the presence of TP53 mutations does not negatively affect the outcome of pts treated with this intensive regimen. The efficacy of DA-EPOCH-R in overcoming poor prognostic genetic features in DLBCL should be confirmed in a larger prospective clinical trial. Disclosures Rossi: Daiichi-Sankyo: Consultancy; Roche: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; Mundipharma: Honoraria; BMS: Honoraria; Sandoz: Honoraria. Carlo-Stella:Takeda: Other: Travel, accommodations; F. Hoffmann-La Roche Ltd: Honoraria, Other: Travel, accommodations, Research Funding; Rhizen Pharmaceuticals: Research Funding; Celgene: Research Funding; Amgen: Honoraria; AstraZeneca: Honoraria; Janssen Oncology: Honoraria; MSD: Honoraria; BMS: Honoraria; Genenta Science srl: Consultancy; Janssen: Other: Travel, accommodations; Servier: Consultancy, Honoraria, Other: Travel, accommodations; Sanofi: Consultancy, Research Funding; ADC Therapeutics: Consultancy, Other: Travel, accommodations, Research Funding; Novartis: Consultancy, Research Funding; Boehringer Ingelheim: Consultancy. Corradini:AbbVie: Consultancy, Honoraria, Other: Travel Costs; KiowaKirin: Honoraria; Gilead: Honoraria, Other: Travel Costs; Amgen: Honoraria; Celgene: Honoraria, Other: Travel Costs; Daiichi Sankyo: Honoraria; Janssen: Honoraria, Other: Travel Costs; Jazz Pharmaceutics: Honoraria; Kite: Honoraria; Novartis: Honoraria, Other: Travel Costs; Roche: Honoraria; Sanofi: Honoraria; Takeda: Honoraria, Other: Travel Costs; Servier: Honoraria; BMS: Other: Travel Costs.

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Clonal Architecture and Variant Allele Frequency Predict Clinical Outcomes and Drug Response in Acute Myeloid Leukemia

Blood ◽

10.1182/blood-2020-136477 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 2-2

Author(s):

Brooks Benard ◽

Logan Leak ◽

Armon Azizi ◽

Daniel Thomas ◽

Andrew Gentles ◽

...

Keyword(s):

Board Of Directors ◽

Clinical Outcomes ◽

Drug Sensitivity ◽

Clonal Evolution ◽

High Risk Patient ◽

Variant Allele Frequency ◽

Clonal Heterogeneity ◽

Advisory Committees ◽

Clonal Architecture ◽

Linear Evolution

Introduction: AML is an aggressive cancer that develops from the sequential accumulation and clonal expansion of somatic mutations in hematopoietic stem and progenitor cells. Recent next-generation sequencing (NGS) studies of AML have correlated mutations with clinical outcomes and response to targeted therapies. Additionally, emerging reports have suggested that increased clonal heterogeneity and mutation burden tend to correlate with worse survival outcomes. However, due to previous cohort sizes, the architecture of clonal evolution and variant allele frequency (VAF) of recurrent mutations have yet to be robustly correlated with response to therapy or with more granular risk stratification. To address previous limitations, we combined available datasets of sequenced AML to model features of clonality and determine their correlations with clinical outcomes and drug sensitivity. Methods: A systematic literature review was performed to identify cohorts of clinically annotated and genetically profiled adult AML. Studies were included if: (i) their sequencing panel targeted at least 30 of the most commonly mutated genes, (ii) censored overall survival data was reported, and (iii) data were publicly available. An additional cohort of patients profiled at Stanford was also included. Leveraging statistical learning methods and robust clonal modeling algorithms (PyClone and ClonEvol), we performed a meta-analysis of the clonal architecture of mutations, their temporal relationships, sensitivity to drugs, and correlation with outcomes in AML. Results: A total of 12 studies were aggregated into a uniformly annotated database comprising 2,987 AML patient samples profiled with an array of DNA sequencing modalities (2,884 with VAFs) and ex vivo drug screening results (nsamples = 562; ndrugs = 122); survival outcomes were available for 2,606 patients. To investigate broad features of leukemia evolution, we used clonal modeling algorithms to infer clonal architecture. Interestingly, patients exhibiting linear evolution (sequential mutations in the same clone) displayed worse outcomes compared to those with branched architecture (distinct subclonal populations). Additionally, mutational burden and clonal heterogeneity only stratified patients with branched structure. These results motivated us to understand how the temporal acquisition of mutations might further stratify outcomes. Using dynamic VAF thresholds, we identified novel high-risk patient populations for 15 recurrently mutated genes. Greater VAF was associated with statistically significant improved survival in genotypes such as GATA2mut and WT1mut and with worse outcomes for patients with NRAS and NF1 mutations. Next, we leveraged VAFs to infer the temporal ordering of individual mutations and functional mutation categories. Patients where NRAS mutations occurred before GATA2 mutations showed a significant correlation with worse outcomes. We also observed that patients in which (i) DNA methylation mutations occurred before those in tumor suppressors and (ii) splicing factor mutations occurred before RTK/RAS signaling components showed significantly shortened overall survival. These results indicate that patients with the same genotype can be stratified by the timing of mutations in the clonal evolution of their leukemia. Finally, we used linear regression between drug sensitivity and VAF to identify several mutations which predict drug sensitivity exclusively in a VAF-dependent manner. Increased WT1 VAF correlated with sensitivity to ABT-737 and elevated FLT3-TKD VAF predicted sensitivity to cabozantinib, among other clinically notable drug-gene relationships. These results suggest potential biomarkers for clinical response to emerging targeted agents. Conclusions: We show that VAF can identify novel high-risk patient populations at the individual mutation level (e.g. BCOR and NF1) and can also be leveraged to stratify outcomes based on inferring the temporal ordering of mutations (e.g. NRAS and GATA2). Our observation that patients with leukemias exhibiting branched evolution showed improved survival compared to linear evolution was also striking and warrants further experimental and clinical validation. Incorporating these results with our findings of drug sensitivity validate the clinical utility of integrating clonal analysis into the molecular evaluation and treatment of AML. Disclosures Majeti: Zenshine Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Kodikaz Therapeutic Solutions Inc.: Membership on an entity's Board of Directors or advisory committees; Stanford University: Patents & Royalties: pending patent application on CD93 CAR ; Coherus BioSciences: Membership on an entity's Board of Directors or advisory committees; BeyondSpring Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Forty-Seven Inc.: Divested equity in a private or publicly-traded company in the past 24 months; Gilead Sciences, Inc.: Patents & Royalties: inventor on patents related to CD47 cancer immunotherapy; CircBio Inc.: Research Funding.

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Impact of Eltrombopag on Expansion of Clones with Somatic Mutations in Refractory Aplastic Anemia

Blood ◽

10.1182/blood.v126.23.300.300 ◽

2015 ◽

Vol 126 (23) ◽

pp. 300-300 ◽

Cited By ~ 1

Author(s):

Bhumika J. Patel ◽

Bartlomiej Przychodzen ◽

Michael J. Clemente ◽

Cassandra M. Hirsch ◽

Tomas Radivoyevitch ◽

...

Keyword(s):

Aplastic Anemia ◽

Board Of Directors ◽

Deep Sequencing ◽

Somatic Mutations ◽

Clonal Evolution ◽

Clonal Expansion ◽

Quantitative Detection ◽

Sequencing Analysis ◽

Advisory Committees ◽

Before And After

Abstract Despite documented success of immunosuppressive therapy (IST) in the treatment of aplastic anemia (AA), a significant minority of patients remain refractory, most responses are incomplete, and allogeneic stem cell transplantation is not available for older patients or those with significant comorbidities. Until introduction of the cMpl agonist eltrombopag, anabolic steroids were the most commonly used salvage drugs. At least theoretically, engaging growth factor receptors with eltrombopag has the potential to promote the evolution or expansion of mutant clones and thereby increase the rate of progression to secondary MDS, a feared complication of AA occurring in 10-20% of patients. Recently we and others reported detection of clonogenic somatic mutations typical of MDS in patients with AA and PNH. Subsequent study demonstrated that mutations characteristic of sMDS can be found in some patients at presentation of AA and may constitute risk for subsequent progression to MDS. As the risk of MDS evolution was a prominent concern when filgrastim was more widely used in management of AA, now similar questions have been raised regarding use of eltrombopag, be it as salvage therapy or to complement IST. Recently, one of our primary refractory patients receiving eltrombopag progressed to AML. This clinical observation led to investigation of the impact of eltrombopag on evolution and clonal expansion using deep sequencing of a cohort of patients with AA. DNA from bone marrow cells was sequenced before and after initiation of eltrombopag to evaluate clonal expansion or evolution using a targeted multi-amplicon deep sequencing panel of the top 60 most commonly mutated genes in MDS. Among 208 AA patients treated at Cleveland Clinic, we identified 13 patients (median age 68 yrs.) who were treated with eltrombopag for IST-refractory AA; median duration of treatment was 85 wks. The overall response rate, defined as sustained improvement in blood counts and transfusion independence after 12 weeks of therapy, was 46% (6/13), while 38% (5/13) of patients showed stable disease with intermittent transfusions (one of whom underwent HSCT). Among the two non-responders, one patient developed a PNH clone and another progressed to AML (see below). Expansion of PNH granulocytes after eltrombopag treatment was observed in 2 patients. Two patients had chromosomal abnormalities at initial diagnosis, one with t (10; 18) in 2 metaphases, and one with an extranumeral Y chromosome. Use of next generation sequencing (NGS) allows for the quantitative detection of clonal events. We hypothesized that serial analysis by NGS before and after eltrombopag therapy may provide clues as to potential effects of this drug on clonal evolution. Sequencing analysis before eltrombopag treatment revealed the presence of a sole clonal mutational event in 3/13 cases, including CEBPA, EZH2, and BCOR. In the patient with a CEBPA mutation, the mutation persisted during treatment with minimal clonal expansion evidenced by a change in VAF from 53% to 65%. In the second patient, NGS results revealed the initial presence of an EZH2 mutation. A post eltrombopag sample clearly identified acquisition of additional clonal events in genes highly associated with advanced disease and clonal evolution (RUNX1 and U2AF1), as well as slight expansion of a persistent EZH2 clone from 2 to 8%. The third patient harbored a BCOR mutation which expanded markedly, increasing from 8% to 21%, and was accompanied by a hematological response. Sequencing results after eltrombopag treatment revealed the acquisition of new somatic mutations in 5/13 (38%) cases: 2 new CEBPA mutations, 1 new BCOR mutation, and, as discussed, one case with an initial EZH2 mutation in which RUNX1 and U2AF1 mutations were later discovered. In the 5th patient, evolution to AML was observed and accompanied by a large DNMT3A and U2AF1 clone that was absent on initial evaluation. In conclusion, we did observe occasional expansion of clones with potentially leukemogenic mutations during treatment with eltrombopag. At our institution a case control study of patients with refractory aplastic anemia without treatment with eltrombopag is ongoing; ideally a prospective trial would be needed to confirm results. Our results suggest that the initial detection of certain somatic mutations (CBL, SETBP1 and RUNX1) associated with post-AA MDS may contraindicate use of eltrombopag in AA. Disclosures Sekeres: Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; TetraLogic: Membership on an entity's Board of Directors or advisory committees.

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Transition of Chronic Myeloid Leukemia to Chronic Myelomonocytic Leukemia As a Tool to Observe Development of Chronic Myelomonocytic Leukemia

Blood ◽

10.1182/blood.v126.23.5223.5223 ◽

2015 ◽

Vol 126 (23) ◽

pp. 5223-5223

Author(s):

Jamshid S Khorashad ◽

Srinivas K Tantravahi ◽

Dongqing Yan ◽

Anna M. Eiring ◽

Hannah M. Redwine ◽

...

Keyword(s):

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Clonal Evolution ◽

Chronic Myelomonocytic Leukemia ◽

Imatinib Treatment ◽

Advisory Committees ◽

Clonal Architecture ◽

Myelomonocytic Leukemia

Abstract Introduction. Development of abnormal Philadelphia (Ph) negative clones following treatment of chronic myeloid leukemia (CML) patients with imatinib has been observed in 3 to 9% of patients. Here we report on a 77 year old male diagnosed with CML that responded to imatinib treatment and subsequently developed chronic myelomonocytic leukemia (CMML). He achieved major cytogenetic response within 3 months but this response coincided with the emergence of monocytosis diagnosed as CMML. Five months after starting imatinib treatment the patient succumbed to CMML. We analyzed five sequential samples to determine whether a chronological order of mutations defined the emergence of CMML and to characterize the clonal evolution of the CMML population. Materials and Method. Five samples (diagnostic and four follow up samples) were available for analysis. CMML mutations were identified by whole exome sequencing (WES) in CD14+ cells following the onset of CMML, using CD3+ cells as constitutional control. Mutations were validated by Sequenom MassARRAY and Sanger sequencing and quantified by pyrosequencing. Deep WES was performed on the diagnostic sample to determine whether the mutations were present at CML diagnosis. To determine the clonal architecture of the emerging CMML, colony formation assays were performed on the diagnostic and the next two follow-up samples (Samples 1-3). More than 100 colonies per sample were plucked for DNA and RNA isolation. The DNA from these colonies were tested for the presence of the confirmed CMML mutations and the RNA was used for detection of BCR-ABL1 transcript using a Taqman real time assay. Results. Four mutations were identified by Sequenom and WES throughout the patient's time course [KRASG12R, MSLNP462H, NTRK3V443I and EZH2I669M ]. Sequenom did not identify these at diagnosis while deep WES did. Clones derived from colony formation assay revealed three distinct clones present in all samples analysed. Clone 1 had only KRASG12R, clone 2 had KRASG12R, MSLNP462H, and NTRK3V443I, and clone 3 had all four mutations. All clones containing any of these four mutations were BCR/ABL1 negative. Analysis of clonal architecture indicated that KRASG12R was acquired first and EZH2I669M last, while MSLNP462H and NTRK3V443I were acquired in between. These CMML clones increased proportionately as clinical CML metamorphosed into clinical CMML after initiation of imatinib therapy. Consistent with the colony data, pyrosequencing revealed that the ratio between the mutants remained largely stable throughout the follow up period. Conclusion. This case illustrates how targeted therapy impacts clonal competition in a heterogeneous MPN. While the CML clone was dominant in the absence of imatinib, it was quickly outcompeted by the CMML clones upon initiation of imatinib therapy. The clonal architecture analysis, in combination with in vivo kinetics data, suggest that the KRASG12R mutation alone was able to produce a CMML phenotype as clones with just KRASG12R remained at a relatively stable ratio during follow up. Unexpectedly, acquisition of additional mutations, including EZH2I669M as the last mutational event identified in this patient, did not increase clonal competitiveness, at least in the peripheral blood. These data show that clonal evolution may not invariably increase clonal fitness, suggesting that factors other than Darwinian pressures contribute to clonal diversity in myeloproliferative neoplasms. Disclosures Deininger: Gilead: Research Funding; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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Molecular Insights into Clonal Hematopoiesis and Therapy-Related Myeloid Neoplasm in Patients with Multiple Myeloma and Cytopenia(s)

Blood ◽

10.1182/blood-2020-141656 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 6-7

Author(s):

Jinming Song ◽

Hailing Zhang ◽

Xiaohui Zhang ◽

Mohammad Hussaini ◽

Ning Dong ◽

...

Keyword(s):

Multiple Myeloma ◽

Board Of Directors ◽

Research Funding ◽

Somatic Mutations ◽

Diagnostic Value ◽

Research Support ◽

Advisory Committees ◽

Cytogenetic Abnormalities ◽

Tp53 Mutations ◽

Clinical Databases

Background: Multiple myeloma (MM) is a clonal plasma cell neoplasm typically associated with chronic therapy and resultant potential toxicities, including clonal cytopenias, myelodysplastic syndrome (MDS), or therapy-related myeloid neoplasms (tMN). Early identification of myelodysplasia is important for patient management and outcome. Next generation sequencing (NGS) is playing an ever increasing role in this field. Materials and Methods: The retrospective study was approved by Moffitt institutional review board (IRB). We searched our in-house NGS database with ~6000 patients and clinical databases to identify the patients with MM and sustained cytopenia with accompanying NGS data. The NGS results were analyzed for associations with myeloma and myelodysplasia. Results: Of the 196 identified patients identified (Table 1), there were 114 males (58%) and 82 females (42%) with a median age of 68 years. Eighty-four myeloma patients with cytopenia (43%) were found to have one or more somatic mutations and 112 patients (57%) showed no mutations. The most frequently mutated genes are as following: TP53 (12%), DNMT3A (8%), TET2 (6%), ASXL1 (5%), KRAS (5%), ETV6 (3%), RUNX1 (2%), CUX1 (2%), BCOR (2%), SF3B1 (2%), ZRSR2 (2%), EZH2 (2%), IDH2 (2%), SRSF2 (2%), and BRAF (1%). We divided the patients into four groups according their disease status at the time of NGS testing: 1) patients with myeloma but no myelodysplasia (MM_Only, 105 patients and 53.57%); 2) Patients with myelodysplasia but no overt residual myeloma (Myelodysplasia_Only, 14 patients, 7.14%); 3) Patients with both myeloma and myelodysplasia (MM+Myelodysplasia, 27 patients, 13.78%); 4) Patients with neither myeloma or myelodysplasia (Negative_for_Both, 50 patients, 25.51%). The "Myelodysplasia" in this study is defined as having either overt morphologic dysplasia (>10% of the lineage cells), or equivocal dysplasia but having myeloid-related (non-myeloma) cytogenetic abnormalities. NGS results were not included in the classification to assess the added diagnostic value of NGS. The Mutational profiles of the four disease groups are displayed in Figure 1 and compared in Table 1 and 2. The MM+Myelodysplasia group showed highest percentage of mutations (88.89% of patients tested), followed by Myelodysplasia_Only group (57.14%) and MM_Only group (35.24%), with Negative_for_Both group showing the lowest mutation rate (30.00%). The average number of somatic mutations/case also followed the same order: 1.63, 1.00, 0.48, and 0.36, respectively. Of the 196 patients, 58 patients (29.59%) had no morphologic dysplasia or myeloid-related cytogenetic abnormalities but showed one or more somatic mutations by NGS. These patients harbored clonal cytopenia of uncertain significance (CCUS) clones and would have been missed without NGS testing. Of these 58 patients, retrospective review actually identified 7 patients with morphologic dysplasia and were reclassified as MDS. Further mutational analysis revealed the following interesting findings. ASXL1, DNMT3A, KRAS, and SF3B1 mutations showed highest frequencies in MM+Myelodysplaisa group when compared with other 3 groups (Table 2), indicating a close association with myelodysplasia development in patients with persistent myeloma. In contract, among the 4 groups, RUNX1 mutations were most common in Myelodysplasia_only patients, suggesting a potential alternative pathway for myelodysplasia development in patient with myeloma in remission. It is possible that presence of myeloma clones create different evolution pressure on neoplastic myeloid clones. TP53 mutations were present in MM_Only group, but were much more frequent in patients with MM+Myelodysplasia and Myelodysplasia_only groups. The presence of TP53 mutations might therefore suggest increased risk for myelodysplasia. Finally, TET2 were similar between these groups and therefore not of significant diagnostic value. Conclusion: NGS testing is valuable in identifying CCUS, MDS, or tMN in myeloma patients, especially in those with no morphologic or cytogenetic abnormalities. Statistically significant differences are seen in the mutational profiles of the four groups of patients, suggestive of different roles in myelodysplasia development. Further studies are necessary to better distinguish the origin of these mutations as being derived from the myeloma versus the myeloid components of the disease. Disclosures Hussaini: Stemline: Consultancy; Amgen: Consultancy; Janssen: Consultancy; Adaptive: Consultancy; Boston Biomedical: Consultancy. Shain:Karyopharm: Research Funding, Speakers Bureau; AbbVie: Research Funding; Takeda: Honoraria, Speakers Bureau; Sanofi/Genzyme: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Speakers Bureau; GlaxoSmithKline: Speakers Bureau; Adaptive: Consultancy, Honoraria; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Nishihori:Novartis: Other: Research support to institution; Karyopharm: Other: Research support to institution.

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TP53 and KRAS Variants at Initial Diagnosis Identify an Ultra-High Risk Group of Pediatric T-Lymphoblastic Leukemia (T-ALL)

Blood ◽

10.1182/blood-2021-148420 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1315-1315

Author(s):

Tamara Kempter ◽

Joachim B. Kunz ◽

Paulina Richter-Pechanska ◽

Katarzyna Tomska ◽

Tobias Rausch ◽

...

Keyword(s):

High Risk ◽

Treatment Response ◽

Board Of Directors ◽

Tp53 Mutation ◽

Lymphoblastic Leukemia ◽

Initial Diagnosis ◽

Research Support ◽

Advisory Committees ◽

Tp53 Mutations ◽

First Remission

Abstract Introduction Patients who suffer a relapse of pediatric T-cell acute lymphoblastic leukemia (T-ALL) face a dismal prognosis. Prognostic molecular biomarkers that reliably predict the risk of relapse at the time of first diagnosis are not available. Inactivating mutations in TP53 were previously detected in approximately 10% of relapsed patients (Hof et al. J Clin Oncol. 2011) and are invariably associated with fatal outcome (Richter-Pechanska et al. Blood Cancer J. 2017). Mutations in other genes were identified to be either specific for relapse (NT5C2 and CCDC88A) or to be associated with a poor prognosis in relapse (IL7R, KRAS, NRAS, USP7, CNOT3 and MSH6) (Meyer et al. Nat Genet. 2013; Richter-Pechanska et al. Blood Cancer J. 2017). We hypothesized that subclones bearing such mutations can give rise to relapse and analyzed these 9 genes at initial diagnosis of T-ALL with targeted ultra-deep sequencing. Methods Leukemia samples collected at initial diagnosis of 81 children with T-ALL who later relapsed were analyzed. As a control group, we selected 79 children with T-ALL who remained in first remission for at least three years and were matched with regard to treatment response, treatment, age and sex. Targeted deep sequencing was performed by using the Agilent Haloplex High Sensitivity kit with unique molecular identifiers for reliable detection of mutations with very low allele frequencies (average read depth: 1,012x). Results Overall, we detected 75 mutations among 7 targeted genes in 33 / 81 relapsing and 21 / 79 non-relapsing patients. The average allele frequency (AF) of the identified mutations was 25% (0.8% - 83%; SD ± 18%). More than half of the variants (43/75) showed AFs below 30% and were thus classified as subclonal. Interestingly, 7 pathogenic TP53 mutations (subclonal: n=5, clonal: n=2) with AFs of 4.4% - 49.4% were exclusively discovered in 6 patients who experienced a relapse. While 2 of these patients received an allogeneic stem cell transplantation in first remission because of poor treatment response, the remaining 4 patients were treated by chemotherapy in the high-risk (n=1) or medium-risk (n=3) arm. None of the 79 non-relapsing control patients carried TP53 mutations. Consistent with the hypothesis of clonal evolution as a mechanism of relapse in T-ALL, Sanger Sequencing of the relapse sample of one TP53-positive patient confirmed that the subclone harboring the TP53 mutation A159D at initial diagnosis (AF 5.4%) expanded to a major clone (AF 42%) in relapse. The presence of TP53 mutations in two further TP53-positive patients in at least one available post-remission sample is also compatible with clonal selection. However, in a fourth patient the low allele frequency of the TP53 mutation at relapse indicates that the TP53 subclone persisted but did not expand during the development of relapse. In addition to TP53, we identified pathogenic KRAS mutations to be significantly enriched in relapsing patients (9 / 81) compared to non-relapsing patients (2 / 79) at the time of initial diagnosis (chi-squared test, p= 0.032; Table 1). Conclusion Subclonal and clonal mutations in TP53 and KRAS at initial diagnosis were enriched in T-ALL patients who later relapsed and identified approximately 17% of patients suffering a relapse. We thus propose that (subclonal) mutations of TP53 and KRAS may define a subgroup of high-risk T-ALL patients already at the time of first diagnosis. The identification of such mutations may complement the current risk stratification which depends on treatment response and may determine a new molecularly defined subgroup of T-ALLs that may benefit from intensified treatment strategies. Figure 1 Figure 1. Disclosures Schrappe: SigmaTau: Other: research support; Amgen: Other: research support; Servier: Honoraria; Novartis: Honoraria; JazzPharma: Honoraria; Servier: Honoraria, Other: research support; JazzPharma: Honoraria, Other: research support; SHIRE: Other: research support; Novartis: Honoraria, Other: research support. Cario: Novartis: Other: Lecture Fee. Muckenthaler: Silence Therapeutics: Research Funding. Kulozik: Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BioMedX: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; bluebird bio, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Consultancy, Honoraria.

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Clonal Evolution in a Murine CALM-AF10 Leukemia: Evidence of Functional Heterogeneity of Leukemia Stem Cells

Blood ◽

10.1182/blood-2021-154068 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1158-1158

Author(s):

Niloofar Zandvakili ◽

Hui Mei Lee ◽

Rhea Desai ◽

Alyona Oryshchuk ◽

Peter J. Browett ◽

...

Keyword(s):

Stem Cells ◽

Board Of Directors ◽

Somatic Mutations ◽

Clonal Evolution ◽

Advisory Committees ◽

Genetic Changes ◽

Expression Levels ◽

Long Latency ◽

Marker Expression ◽

Secondary Leukemias

Abstract Myeloid leukemia is caused by acquired genetic changes in haematopoietic stem cells. The combination of stepwise acquisition of genetic changes together with selection of the fittest clones results in great genetic and clonal heterogeneity. We used a CALM-AF10-driven retroviral transduction murine bone marrow transplantation leukemia model (MBMTLM) to study clonal hierarchy and clonal evolution starting with a primary leukaemia (Fig 1: Leu7) which developed after 131 days and had B220 marker expression on 4% of its cells. Limiting dilution assays (LDAs) showed that the leukemia stem cell (LSC) frequency of Leu7 was 1:2339 (95% confidence interval: 1:794-1:6885). Whole exome sequencing (WES) and analysis of the variant allele fraction of somatic mutations revealed that Leu7 was composed of a main clone (Fig 1: grey) with two subclones (blue and red). Half a million leukemic cells from Leu7 were transplanted into 4 sublethally irradiated recipients, which all developed secondary leukemias after a latency of 19 days (Leu7Sec1 to 4). All secondary leukemias showed similar B220 expression levels to Leu7, and all showed an expansion of the blue subclone. When again half a million cells each of one of the secondary leukemias (Leu7Sec2) were transplanted into 4 recipients, the expansion of the blue subclone continued, the red subclone vanished and, surprisingly, the proportion of B220 expressing cells increased to between 16 to 26%. LDAs showed that the LSC frequency of Leu7Sec2 had not changed. However, several of the leukemias from the LDAs had greatly varying latencies (27 to 193 days) and B220 marker expression (2 to 85%). Four of these tertiary LDA leukemias (Leu7Sec2Ter5 to 8), which each arose from a single LSC, were analysed more closely using WES. Leu7Sec2Ter5 showed a similar latency (27 days) and B220 expression levels like Leu7SecTer1 to 4 and also had the expansion of the blue subclone. Leu7Sec2Ter6 had a long latency of 69 days and a very low B220 expression. Leu7Sec2Ter6 was driven by a new, third subclone (pink), and both the blue and the red subclone disappeared. Very interestingly, Leu7Sec2Ter7 and Leu7Sec2Ter8 had a very long latency of 193 days, and showed an expansion of a subclone (green) of the red subclone. The B220 expression was high (37%) to very high (85%) in these two leukemias. Taken together, these observations paint an interesting picture with the blue subclone outcompeting the red subclone, as leukemias arising from the red subclone only appear after a long latency and in leukemias initiated by a single LSC, when there is no blue subclone LSC present. As the four leukemias (Leu7Sec2Ter5 to 8), which each were derived from a single LSC, showed striking differences in latency and surface marker expression, it can be concluded that this variation in phenotype is an intrinsic property of an individual LSCs most likely a consequence of the distinct combination of somatic mutations present in the individual LSCs. These observations also suggest that distinct LSCs with different properties might be present in a single human leukemia. Figure 1 Figure 1. Disclosures Browett: Janssen: Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria.

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