Kooperativer Bibliotheksverbund

In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 30, No. 25 ( 2012-09-01), p. 3109-3118

Abstract: To determine the association of RUNX1 mutations with therapeutic outcome in younger and older patients with primary cytogenetically normal acute myeloid leukemia (CN-AML) and with gene/microRNA expression signatures. Patients and Methods Younger ( 〈 60 years; n = 175) and older (≥ 60 years; n = 225) patients with CN-AML treated with intensive cytarabine/anthracycline-based first-line therapy on Cancer and Leukemia Group B protocols were centrally analyzed for RUNX1 mutations by polymerase chain reaction and direct sequencing and for established prognostic gene mutations. Gene/microRNA expression profiles were derived using microarrays. Results RUNX1 mutations were found in 8% and 16% of younger and older patients, respectively (P = .02). They were associated with ASXL1 mutations (P 〈 .001) and inversely associated with NPM1 (P 〈 .001) and CEBPA (P = .06) mutations. RUNX1-mutated patients had lower complete remission rates (P = .005 in younger; P = .006 in older) and shorter disease-free survival (P = .058 in younger; P 〈 .001 in older), overall survival (P = .003 in younger; P 〈 .001 in older), and event-free survival (P 〈 .001 for younger and older) than RUNX1 wild-type patients. Because RUNX1 mutations were more common in older patients and almost never coexisted with NPM1 mutations, RUNX1 mutation–associated expression signatures were derived in older, NPM1 wild-type patients and featured upregulation of genes normally expressed in primitive hematopoietic cells and B-cell progenitors, including DNTT, BAALC, BLNK, CD109, RBPMS, and FLT3, and downregulation of promoters of myelopoiesis, including CEBPA and miR-223. Conclusion RUNX1 mutations are twice as common in older than younger patients with CN-AML and negatively impact outcome in both age groups. RUNX1-mutated blasts have molecular features of primitive hematopoietic and lymphoid progenitors, potentially leading to novel therapeutic approaches.

Type of Medium: Online Resource

ISSN: 0732-183X , 1527-7755

URL: Article

DOI: 10.1200/JCO.2011.40.6652

Language: English

Publisher: American Society of Clinical Oncology (ASCO)

Publication Date: 2012

detail.hit.zdb_id: 2005181-5

In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 30, No. 7 ( 2012-03-01), p. 742-750

Abstract: To determine the frequency of DNMT3A mutations, their associations with clinical and molecular characteristics and outcome, and the associated gene- and microRNA-expression signatures in primary cytogenetically normal acute myeloid leukemia (CN-AML). Patients and Methods Four hundred fifteen previously untreated adults were analyzed for DNMT3A mutations and established prognostic gene mutations and expression markers. Gene- and microRNA-expression profiles were derived using microarrays. Results Younger ( 〈 60 years; n = 181) and older (≥ 60 years; n = 234) patients had similar frequencies of DNMT3A mutations (35.3% v 33.3%). Missense mutations affecting arginine codon 882 (R882-DNMT3A) were more common (n = 92; 62%) than those affecting other codons (non–R882-DNMT3A). DNMT3A-mutated patients did not differ regarding complete remission rate, but had shorter disease-free survival (DFS; P = .03) and, by trend, overall survival (OS; P = .07) than DNMT3A–wild-type patients. In multivariable analyses, DNMT3A mutations remained associated with shorter DFS (P = .01), but not with shorter OS. When analyzed separately, the two DNMT3A mutation types had different significance by age group. Younger patients with non–R882-DNMT3A mutations had shorter DFS (P = .002) and OS (P = .02), whereas older patients with R882-DNMT3A mutations had shorter DFS (P = .005) and OS (P = .002) after adjustment for other clinical and molecular prognosticators. Gene- and microRNA-expression signatures did not accurately predict DNMT3A mutational status. Conclusion DNMT3A mutations are frequent in CN-AML, and their clinical significance seems to be age dependent. DNMT3A-R882 mutations are associated with adverse prognosis in older patients, and non–R882-DNMT3A mutations are associated with adverse prognosis in younger patients. Low accuracy of gene- and microRNA-expression signatures in predicting DNMT3A mutation status suggested that the role of these mutations in AML remains to be elucidated.

Type of Medium: Online Resource

ISSN: 0732-183X , 1527-7755

URL: Article

DOI: 10.1200/JCO.2011.39.2092

Language: English

Publisher: American Society of Clinical Oncology (ASCO)

Publication Date: 2012

detail.hit.zdb_id: 2005181-5

In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 30, No. 36 ( 2012-12-20), p. 4515-4523

Abstract: To evaluate the prognostic significance of the international European LeukemiaNet (ELN) guidelines for reporting genetic alterations in acute myeloid leukemia (AML). Patients and Methods We analyzed 1,550 adults with primary AML, treated on Cancer and Leukemia Group B first-line trials, who had pretreatment cytogenetics and, for cytogenetically normal patients, mutational status of NPM1, CEBPA, and FLT3 available. We compared complete remission (CR) rates, disease-free survival (DFS), and overall survival (OS) among patients classified into the four ELN genetic groups (favorable, intermediate-I, intermediate-II, adverse) separately for 818 younger (age 〈 60 years) and 732 older (age ≥ 60 years) patients. Results The percentages of younger versus older patients in the favorable (41% v 20%; P 〈 .001), intermediate-II (19% v 30%; P 〈 .001), and adverse (22% v 31%; P 〈 .001) genetic groups differed. The favorable group had the best and the adverse group the worst CR rates, DFS, and OS in both age groups. Both intermediate groups had significantly worse outcomes than the favorable but better than the adverse group. Intermediate-I and intermediate-II groups in older patients had similar outcomes, whereas the intermediate-II group in younger patients had better OS but not better CR rates or DFS than the intermediate-I group. The prognostic significance of ELN classification was confirmed by multivariable analyses. For each ELN group, older patients had worse outcomes than younger patients. Conclusion The ELN classification clearly separates the genetic groups by outcome, supporting its use for risk stratification in clinical trials. Because they have different proportions of genetic alterations and outcomes, younger and older patients should be reported separately when using the ELN classification.

Type of Medium: Online Resource

ISSN: 0732-183X , 1527-7755

URL: Article

DOI: 10.1200/JCO.2012.43.4738

Language: English

Publisher: American Society of Clinical Oncology (ASCO)

Publication Date: 2012

detail.hit.zdb_id: 2005181-5

In: Leukemia, Springer Science and Business Media LLC, Vol. 33, No. 7 ( 2019-7), p. 1620-1634

Type of Medium: Online Resource

ISSN: 0887-6924 , 1476-5551

URL: Article

DOI: 10.1038/s41375-019-0390-3

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2019

detail.hit.zdb_id: 2008023-2

In: Leukemia, Springer Science and Business Media LLC, Vol. 34, No. 2 ( 2020-02), p. 358-368

Type of Medium: Online Resource

ISSN: 0887-6924 , 1476-5551

URL: Article

DOI: 10.1038/s41375-019-0560-3

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2020

detail.hit.zdb_id: 2008023-2

In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 221-221

Abstract: Background: AML is a highly aggressive hematologic malignancy. Patient (pt) outcomes are affected by disease-related factors including cytogenetic findings and gene mutations, as well as pt-related factors, such as age and race. Younger pts have superior survival: ~50% of pts diagnosed as AYAs (18-39 years) may be cured of their disease. However, the impact of race on the outcome and associated disease profiles in this pt population are unknown. Methods: We compared survival and molecular profiles of 655 Non-Hispanic Black and Non-Hispanic White (hereafter referred to as Black, n=89 and White, n=566) AYA AML pts treated on frontline Cancer and Leukemia Group B/Alliance for Clinical Trials in Oncology protocols based on standard intensity cytarabine/anthracycline induction therapy between 1986 and 2016. Three hundred ten pts were analyzed molecularly via targeted sequencing of 81 genes. Additionally, we performed integrated genomic profiling (whole-exome sequencing and transcriptome sequencing) and measured residual disease (MRD) in serial samples of 4 Black pts who relapsed with their disease. Results: A comparison of clinical characteristics of AYA AML pts by race revealed almost identical age and sex distribution, and we found no significant differences between clinical features at diagnosis. With regard to genetic profiles, 42% of White pts were cytogenetically normal, whereas only 18% of Black pts had cytogenetically normal AML (CN-AML; p & lt;0.001). The abnormal karyotypes in Black pts more often contained abnormalities associated with core-binding factor (CBF) AML (39% v 25%, p=0.01; Fig. 1A). White pts had more known pathogenic NPM1 variants (29% v 9%, p=0.01), whereas Black pts had a higher incidence of ZRSR2 pathogenic variants (9% v 0.4%, p=0.004) and tended to have pathogenic KRAS variants more often (12% v 5%, p=0.11; Fig. 1B). Black AYA AML pts had worse outcomes including a higher early death rate (ED, defined as death within 30 days of diagnosis; 11% v 2%, p & lt;0.001), a trend towards lower complete remission (CR) rate (73% v 82%, p=0.06) and a shorter overall survival (OS; median, 1.5 v 3.1 years [y], p=0.002). Notably, this survival disparity was almost exclusively driven by pts aged 18-29 y: Black pts had a higher ED rate (16% v 3%, p=0.002), a lower CR rate (66% v 83%, p=0.01) and shorter OS (median, 1.3 v 10.2 y, p & lt;0.001) but not disease-free survival (DFS; p=0.16) than White pts aged 18-29 y. In contrast, there were no significant differences in these outcome metrics between Black and White pts aged 30-39 y (Fig. 2). Among all pts consolidated with intensive chemotherapy (n=566), multivariable analysis revealed Black race as an independent prognosticator of shorter DFS (p=0.04) and OS (p & lt;0.001). These differences in OS were also significant when we included pts who received allogeneic transplantation in 1st CR (n=655; p & lt;0.001). 18-29 y old Black pts with any non-CBF AML had very poor OS compared to White pts (5-y rates, 12% v 45%, p & lt;0.001). CBF-AML pts aged 18-29 y tended to have an inferior OS compared with White pts (5-y rates, 41% v 44%, p=0.10). To gain insights into the genetic features of Black AYA AML pts at different stages of the disease, we performed integrated genomic profiling on paired leukemic samples from diagnosis and relapse of 4 Black AYA pts. In all pts, the original dominant leukemic clone persisted and was dominant at relapse (Fig. 3). This suggests that the leukemic clone persists during treatment with conventional cytotoxic chemotherapy. This observation was further supported by MRD detection of NPM1 mutations in NPM1-mutated pts at time of morphologic CR. Conclusion: Black AYA AML pts present with distinct molecular features, including very high frequencies of CBF AML, and low frequency of NPM1. Pts aged 18-29y account for the race-associated survival disparity, especially non-CBF pts who have dramatically poor survival. On the one hand, the lower CR rates combined with persistence of dominant clones at relapse suggest reduced response to induction chemotherapy, and suggests the need for different treatment intensities and/or modalities in this pt cohort. On the other hand, high early death rates are indicative of delay in diagnosis and care, including health inequities, calling for systematic changes particularly for this population. Figure 1 Figure 1. Disclosures Blachly: KITE: Consultancy, Honoraria; INNATE: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; AstraZeneca: Consultancy, Honoraria. Mims: Leukemia and Lymphoma Society's Beat AML clinical study: Consultancy, Research Funding; Aptevo: Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Glycomemetics: Research Funding; Kartos Pharmaceuticals: Research Funding; Xencor: Research Funding; Genentech: Consultancy; Abbvie: Consultancy; BMS: Consultancy; Kura Oncology: Consultancy; Syndax Pharmaceuticals: Consultancy; BMS: Consultancy; Jazz Pharmaceuticals: Consultancy; Aptevo: Research Funding. Walker: Karyopharm Therapeutics: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Blum: Leukemia and Lymphoma Society: Research Funding; Syndax: Honoraria; AmerisourceBergen: Honoraria; Abbvie: Honoraria; Celyad Oncology: Research Funding; Nkarta: Research Funding; Forma Therapeutics: Research Funding; Xencor: Research Funding. Larson: Rafael Pharmaceuticals: Research Funding; Epizyme: Consultancy; Astellas: Consultancy, Research Funding; Gilead: Research Funding; CVS/Caremark: Consultancy; Takeda: Research Funding; Novartis: Research Funding; Cellectis: Research Funding. Stone: Onconova: Consultancy; Boston Pharmaceuticals: Consultancy; Innate: Consultancy; Jazz: Consultancy; Novartis: Consultancy, Research Funding; AbbVie: Consultancy; GlaxoSmithKline: Consultancy; Gemoab: Membership on an entity's Board of Directors or advisory committees; Foghorn Therapeutics: Consultancy; Janssen: Consultancy; Arog: Consultancy, Research Funding; Aprea: Consultancy; Elevate Bio: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy; BerGen Bio: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Actinium: Membership on an entity's Board of Directors or advisory committees; Syndax: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Syntrix/ACI: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy; Agios: Consultancy, Research Funding; Macrogenics: Consultancy. Paskett: Pfizer: Research Funding; Merck: Research Funding. Byrd: Vincerx Pharmaceuticals: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Newave: Membership on an entity's Board of Directors or advisory committees; Novartis, Trillium, Astellas, AstraZeneca, Pharmacyclics, Syndax: Consultancy, Honoraria. Eisfeld: Karyopharm (spouse): Current Employment.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2021-151072

Language: English

Publisher: American Society of Hematology

Publication Date: 2021

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 3369-3369

Abstract: Background: WBC levels vary widely in AML pts at diagnosis. Together with various cytogenetic and molecular abnormalities, WBC is a main prognostic factor for AML pts. Treatment decisions like need for intrathecal chemotherapy, trial enrollment eligibility, and stem cell transplant (SCT) considerations are often influenced by degree of WBC elevation. Despite such high clinical relevance, there are no standardized WBC-associated groups that improve prognostication and treatment guidance for AML pts. Aims: (1) define clinically relevant WBC level groups associated with outcome, (2) determine if WBC level has an independent prognostic impact in addition to established prognostic features [i.e., 2017 European LeukemiaNet (ELN) genetic-risk classification] and (3) characterize WBC level-associated gene-expression profiles to provide biologic insights into factors influencing WBC levels. Methods: We analyzed clinical and molecular features of 1,121 younger de novo AML pts similarly treated on frontline Cancer and Leukemia Group B/Alliance for Clinical Trials in Oncology protocols. No pt received an allogeneic SCT in 1 st complete remission (CR). Targeted next generation sequencing of 81 cancer- and leukemia-associated genes was done using MiSeq platform. We defined 3 WBC groups: low ( & lt;10,000/µL, n=298 pts), intermediate (10,000-49,999/µL, n=488 pts) and high (≥50,000/µL, n=335 pts) that were tested for associations with prognosis. Analysis of differentially expressed genes within each WBC group was done on blood samples via total transcriptome RNAseq with subsequent gene set enrichment analyses (GSEA) via Hallmark/Kegg pathways. Results: Pts in the high WBC group had higher extramedullary disease burden at diagnosis than pts in the intermediate and low groups (38% vs 29% and 12%, respectively; P & lt;.001). Pts in the intermediate WBC group more often had core-binding factor (CBF) AML (P & lt;.001), and the low WBC group pts had complex karyotype more often (P & lt;.001). Concerning clinical outcome, there was no steady decrease in any outcome endpoint with WBC increasing above 50,000/µL by 10,000/µL increments, or any linear changes in endpoints associated with WBC decreasing below 10,000/µL in 1,000/µL increments in the entire cohort. Pts in the intermediate WBC group had a higher CR rate (P & lt;.001), longer overall (OS; P & lt;.001; Fig. 1A), event-free (EFS; P & lt;.001), and disease-free survival (DFS; P=.002) than pts in the other 2 WBC groups. Intermediate WBC group pts also had a longer DFS in multivariable modeling (P=.01) after adjusting for DNMT3A, RUNX1, TP53 and WT1 mutation status. Among pts categorized according to ELN classification, those in the Favorable group who had an intermediate WBC had longer OS (P=.03; Fig. 1B), DFS (P=.04) and EFS (P & lt;.001) than pts with high and low WBC. WBC group did not affect pt outcome in the ELN Intermediate or Adverse groups. Within the ELN Favorable group, intermediate WBC was associated with longer OS (P=.001), DFS (P=.02) and EFS (P & lt;.001) in pts with CEBPA double mutations or NPM1 mutations with no FLT3-ITD or FLT3-ITD with low allelic ratio, but not in pts with CBF-AML. WBC group-associated gene expression profiles differed among WBC groups. Pts in the high WBC group had upregulation of CXCL10 and HILPDA and downregulation of FN1 and MSLN compared to the intermediate group. MMP7 and GZMA were upregulated in the low WBC group compared with the intermediate WBC group (Fig. 1C, D). There were also significant differences in GSEA in blood among the WBC groups. Compared with the intermediate WBC group, genes associated with inflammatory signaling (i.e., interferon α/γ) were upregulated in the low WBC group (Fig. 1E) and genes associated with glycolysis and fatty acid metabolism were upregulated in the high WBC group (Fig. 1F). Conclusion: The 3 WBC groups we propose offer additional prognostic information for younger AML pts. An intermediate WBC group was associated with better outcome among all pts and in pts included in the ELN Favorable group, especially those with non-CBF-AML. We also showed differences in the metabolic pathways among WBC groups. Our results suggest that the paradigm that all pts who present with a high WBC have a poor prognosis should be re-evaluated, and can help guide therapy decisions for younger AML pts. U10CA180821, U10CA180882, U24CA196171, https://acknowledgments.alliancefound.org; Clinicaltrials.gov Ids: NCT00048958, NCT00899223, NCT00900224 Figure 1 Figure 1. Disclosures Walker: Karyopharm Therapeutics: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Blachly: AstraZeneca: Consultancy, Honoraria; INNATE: Consultancy, Honoraria; KITE: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria. Larson: Takeda: Research Funding; CVS/Caremark: Consultancy; Gilead: Research Funding; Astellas: Consultancy, Research Funding; Epizyme: Consultancy; Rafael Pharmaceuticals: Research Funding; Cellectis: Research Funding; Novartis: Research Funding. Stone: Amgen: Membership on an entity's Board of Directors or advisory committees; Syntrix/ACI: Membership on an entity's Board of Directors or advisory committees; Foghorn Therapeutics: Consultancy; Bristol Myers Squibb: Consultancy; Gemoab: Membership on an entity's Board of Directors or advisory committees; Elevate Bio: Membership on an entity's Board of Directors or advisory committees; Aprea: Consultancy; Arog: Consultancy, Research Funding; Actinium: Membership on an entity's Board of Directors or advisory committees; Boston Pharmaceuticals: Consultancy; AbbVie: Consultancy; BerGen Bio: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees; Syndax: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Consultancy; Innate: Consultancy; Janssen: Consultancy; Jazz: Consultancy; Novartis: Consultancy, Research Funding; Onconova: Consultancy; Takeda: Consultancy; Agios: Consultancy, Research Funding; Celgene: Consultancy; Macrogenics: Consultancy. Byrd: Newave: Membership on an entity's Board of Directors or advisory committees; Vincerx Pharmaceuticals: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Novartis, Trillium, Astellas, AstraZeneca, Pharmacyclics, Syndax: Consultancy, Honoraria. Eisfeld: Karyopharm (spouse): Current Employment. Mims: Kura Oncology: Consultancy; BMS: Consultancy; Abbvie: Consultancy; Genentech: Consultancy; Xencor: Research Funding; Leukemia and Lymphoma Society's Beat AML clinical study: Consultancy, Research Funding; Syndax Pharmaceuticals: Consultancy; Aptevo: Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Glycomemetics: Research Funding; Kartos Pharmaceuticals: Research Funding; BMS: Consultancy; Jazz Pharmaceuticals: Consultancy; Aptevo: Research Funding.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2021-151610

Language: English

Publisher: American Society of Hematology

Publication Date: 2021

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: Blood, American Society of Hematology, Vol. 136, No. Supplement 1 ( 2020-11-5), p. 20-21

Abstract: Acute myeloid leukemia (AML) is the most commonly diagnosed acute leukemia in adults. Despite newly approved treatment, AML still results in poor outcomes especially in older patients (pts). Cytogenetic abnormalities, gene mutations, and their combinations contribute to the pathogenesis and pt outcomes in AML. The PTPN11 gene encodes the phosphatase Shp2, which activates the RAS-MAPK pathway. Despite the relatively high frequency of PTPN11 mutations in AML, little is known about associations of PTPN11 mutations with other genomic features and their influence on outcomes of pts with standard 7+3 chemotherapy. In addition, primary resistance to targeted therapy, such as venetoclax and enasidenib, has been preliminarily noted in PTPN11+ pts. This study sought to determine the type and frequency of PTPN11 mutations as well as associations with clinical, cytogenetic, and genomic features and outcome in adult AML pts treated with 7+3 induction chemotherapy followed by consolidation chemotherapy on Cancer and Leukemia Group B/Alliance for Clinical Trials in Oncology trials. 1,725 newly diagnosed AML pts, defined by the European LeukemiaNet 2017 recommendations (excluding acute promyelocytic leukemia), were examined using targeted next generation sequencing analysis and centrally reviewed metaphase cytogenetics. Missense, nonsense, or frameshift variants not reported in the 1000 Genomes database, dbSNP137 or dbSNP142, were considered mutations. Fisher's exact test was used to determine mutation association and complete remission (CR) rates while continuous variables are from Wilcoxon rank sum test. The median follow-up was 9 years. We identified 140 pts (8.1%) with PTPN11 mutations with the majority (61%) located in the N-terminal SH2 domain (Figure 1). 98 younger ( & lt;60 years of age) and 42 older (≥60 years of age) pts were PTPN11+. Variant allele frequency (VAF) varied from 0.05 to 0.54, with 59 (42%) mutations having a VAF & gt; 0.3. NPM1 (61% vs 31%, P & lt; .001) and DNMT3A (R882 or other) mutations (39% vs 22%, P & lt; .001) were more likely to co-occur with PTPN11 mutations than wild-type (WT) PTPN11 (Figure 2). PTPN11 mutations were less common in FLT3-ITD pts than in those without (17% vs 25%, P = .07). PTPN11 mutations were more common in inv(3)(q21q26)/t(3;3)(q21;q26) pts (26%, P = .004) and were rare in pts with core-binding factor AML, inv(16)/t(16;16) (3%, P = .03) and t(8;21) (0%, P =.005). Clinical features of PTPN11+ pts were similar to those of WT pts except for elevated platelet counts (P & lt; .001) and more extramedullary involvement (P = .03). For all pts, there was no difference in CR rate, disease-free (DFS), overall (OS), and event-free (EFS) survival between PTPN11+ and PTPN11- pts. DFS of older PTPN11+ pts was shorter (3-y rates: 5% vs 15%, P = .04). Given that PTPN11 mutations often co-occur with NPM1 mutations, which are typically associated with favorable outcome (in the absence of a high FLT3-ITD ratio), we focused on the contribution of PTPN11 mutations to outcomes in the NPM1+/FLT3-WT subset. Compared with PTPN11-/NPM1+/FLT3-WT, PTPN11+ pts had a lower CR rate (38% vs 64%, P = .001) and shorter EFS (3-y rates: 10% vs 21%, P = .01), whereas there was no significant differences in OS (3-y rates: 23% vs 32%, P = .13) or DFS (3-y rates: 27% vs 33%, P = .75). When considering the role of PTPN11 mutations with WT NPM1, there was a reduction in survival in PTPN11+/NPM1- pts compared with PTPN11-/NPM1- pts. Younger PTPN11+/NPM1- pts had a lower CR rate (45% vs 71%, P = .002) and shorter OS (3-y rates: 30% vs 41%, P = .04), and EFS (3-y rates: 13% vs 27%, P = .008). Compared to older PTPN11-/NPM1-, older PTPN11+/NPM1- pts had a lower CR rate (18% vs 43%, P = .04) and shorter DFS (3-y rates: 0% vs 10%, P = .02) and EFS (3-y rates: 0% vs 4%, P = .02), whereas OS (3-y rates: 12% vs 10%, P = .58) had no significant difference. To our knowledge, this study is the largest cohort of PTPN11+ pts in adult AML and demonstrates specific mutational and cytogenetic associations. When considering PTPN11+ pts based on NPM1 mutation status, we showed that PTPN11 mutations associated with worse outcome in both NPM1+ and NPM1- AML pts when treated with intensive chemotherapy. Developing targeted treatments to this genomic group in AML represents a research priority. Support: U10CA180821, U10CA180882, U24CA196171, R35CA198183; https://acknowledgments.alliancefound.org; Clinicaltrials.gov Identifier: NCT00048958, NCT00899223, NCT00900224 Disclosures Mims: Leukemia and Lymphoma Society: Other: Senior Medical Director for Beat AML Study; Agios: Consultancy; Kura Oncology: Membership on an entity's Board of Directors or advisory committees; Syndax Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Novartis: Speakers Bureau; Jazz Pharmaceuticals: Other: Data Safety Monitoring Board. Blachly:AbbVie, AstraZeneca, KITE Pharma: Consultancy. Stone:Takeda: Consultancy; Trovagene: Consultancy; Pfizer: Consultancy; Gemoab: Consultancy; Janssen: Consultancy; AbbVie: Consultancy, Research Funding; Actinium: Consultancy; Agios: Consultancy, Research Funding; Argenx: Consultancy, Other: Data and safety monitoring board; Arog: Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Consultancy; Biolinerx: Consultancy; Celgene: Consultancy, Other: Data and safety monitoring board; Jazz: Consultancy; Novartis: Consultancy, Research Funding; Otsuka: Consultancy; Syntrix: Consultancy; Syros: Consultancy; Elevate: Consultancy; Syndax: Consultancy; Daiichi-Sankyo: Consultancy; Stemline: Consultancy; Macrogenics: Consultancy; Hoffman LaRoche: Consultancy. Wang:Bristol Meyers Squibb (Celgene): Consultancy; PTC Therapeutics: Consultancy; Macrogenics: Consultancy; Astellas: Consultancy; Jazz Pharmaceuticals: Consultancy; Stemline: Speakers Bureau; Genentech: Consultancy; Pfizer: Speakers Bureau; Abbvie: Consultancy. Kolitz:Pfizer: Membership on an entity's Board of Directors or advisory committees; Magellan: Membership on an entity's Board of Directors or advisory committees. Powell:Rafael Pharmaceuticals: Consultancy, Other: Advisor, Research Funding; Pfizer: Research Funding; Novartis: Research Funding; Genentech: Research Funding; Jazz Pharmaceuticals: Consultancy, Other: Advisor, Research Funding. Eisfeld:Vigeo Therapeutics: Consultancy; Karyopharm: Current Employment, Current equity holder in publicly-traded company. Byrd:Syndax: Research Funding; Vincera: Research Funding; Novartis: Research Funding; Kartos Therapeutics: Research Funding; Acerta Pharma: Research Funding; Trillium: Research Funding; Leukemia and Lymphoma Society: Other; Janssen: Consultancy; Pharmacyclics LLC, an AbbVie Company, Gilead, TG Therapeutics, BeiGene: Research Funding; Pharmacyclics LLC, an AbbVie Company, Gilead, TG Therapeutics, Novartis, Janssen: Speakers Bureau; Pharmacyclics LLC, an AbbVie Company, Janssen, Novartis, Gilead, TG Therapeutics: Other.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2020-135887

Language: English

Publisher: American Society of Hematology

Publication Date: 2020

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. 9165-9166

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2022-160470

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. 186-186

Abstract: Normal hematopoiesis is organized in a hierarchical manner and it has been hypothesized that acute myeloid leukemia (AML) is organized in a similar way with leukemia-initiating cells (LIC) at the top of the hierarchy, giving rise to more differentiated blasts to sustain AML. Therefore, elimination of LIC population is critical for cure. This may be accomplished via novel molecular targeted therapies. The mutational composition of LIC and non-LIC compartments in AML has not been fully elucidated and could provide new insights into biology and treatment. We investigated the distribution and variant allelic frequencies (VAFs) of recurrent gene mutations within these compartments in newly diagnosed CD34+ AML patients (pts). We studied a total of 88 pts. CD34- AML cases, defined as & lt;5% positivity on blasts, were excluded. Pre-treatment bone marrow or apheresis samples were sorted and sequenced with our ultrasensitive limited cell (LC)-FACS-seq method. First, we gated on CD45dimLin- leukemic population, followed by isolation of 300 cells from CD34+CD38- (LIC), CD34+CD38+ (non-LIC) and CD34- compartments. To compare with the bulk population, DNA was extracted from 500,000 CD45dimLin- leukemic blasts. All samples were sequenced with a 27-gene targeted panel. Extreme Limited Dilution Analysis (ELDA) platform was used for colony formation assays and estimation of stem cell frequencies. Clinical characteristics are summarized in Table 1. The median frequency of the LIC population was 0.5% (range, 0.01% - 69%). The prevalence of high LIC frequency (≥0.5%) was significantly higher in pts with adverse risk (AR) AML, as compared to intermediate (IR) and favorable risk groups (94% vs 34% vs 16%, respectively, p & lt;.001). When compared to pts with low LIC frequency ( & lt;0.5%), those with high LIC frequency had worse overall survival (median, 9 months vs not reached, p=.003) and relapse-free survival (median, 4 vs 15 months, p=.01). In 10 pts who had serial relapse samples, LIC frequencies were increased at the time of relapse (p=.03). We re-validated the commonly used LIC markers with ELDA of primary AML cells. In one IR sample, stem cell frequencies in sorted CD34+CD38-, CD34+CD38+ and CD34- compartments were 1:3, 1:15 and 1:16, respectively (p & lt;.001). In one AR sample, stem cell frequencies were 1:1, 1:8, and 1:12, respectively (p & lt;.001). Using these markers, LICs and non-LICs were enriched and sequenced. The average number of mutations detected by sequencing of bulk samples was significantly lower than sorted LIC (3.17 vs 3.75, p & lt;.05) and non-LIC (3.17 vs 3.96, p & lt;.001) populations indicating the higher sensitivity of our method in detecting subclonal mutations. Mean VAFs were similar between LIC and non-LIC populations for NPM1 (42% vs 47%), DNMT3A (37% vs 41%), IDH1 (41% vs 48%), IDH2 (43% vs 48%), and U2AF1 (37% vs 42%) mutations. Mutations involving signaling pathways were more frequent in non-LICs, including FLT3-TKD (12% vs 23%, p & lt;.01), NRAS (17% vs 26%, p & lt;.01) and KRAS (13% vs 19%, p & lt;.05) mutations, which might be explained by their later acquisition during AML development. In addition, among 22 pts with CEBPA mutation, 16 (73%) harbored the mutation exclusively in non-LICs. Finally, 13 pts with TP53 mutations had different VAFs between compartments. Among 4 pts who had doubling of VAF from LIC to non-LIC compartment, 3 had subclones with del(17p) in LIC pool detected by FISH. LIC subclones harboring both del(17p) and TP53 mutation (i.e. loss of heterozygosity) propagated to drive leukemia. Relapse samples obtained from 6 pts were analyzed and compared with diagnosis. In all cases, we could identify LIC clones that persisted after chemotherapy and led to relapse (see example in Figure). Similarly, 3 pts who were primary refractory showed persistence of LIC clones that were resistant to treatment. On the contrary, 6 pts in whom LIC clones could be eradicated with treatment did not experience disease recurrence. LICs exist at a very low frequency in pre-treatment AML samples. The mutational composition of LIC-enriched compartment shows differences from blasts constituting the bulk of leukemia, which is consistent with the sequence of mutations observed during the evolution of AML. LC-FACS-seq is an ultrasensitive method to detect mutations in a tiny population of residual LICs in pts at remission. Therapies targeting mutations that are concentrated in LICs may re-shape the clonal hierarchy and impact on disease course. Disclosures Behbehani: Fluidigm corporation: Other: Travel funding. Byrd:Ohio State University: Patents & Royalties: OSU-2S; Genentech: Research Funding; Genentech: Research Funding; Janssen: Consultancy, Other: Travel Expenses, Research Funding, Speakers Bureau; Janssen: Consultancy, Other: Travel Expenses, Research Funding, Speakers Bureau; BeiGene: Research Funding; BeiGene: Research Funding; Gilead: Other: Travel Expenses, Research Funding, Speakers Bureau; BeiGene: Research Funding; Gilead: Other: Travel Expenses, Research Funding, Speakers Bureau; Novartis: Other: Travel Expenses, Speakers Bureau; Gilead: Other: Travel Expenses, Research Funding, Speakers Bureau; Novartis: Other: Travel Expenses, Speakers Bureau; Pharmacyclics LLC, an AbbVie Company: Other: Travel Expenses, Research Funding, Speakers Bureau; Novartis: Other: Travel Expenses, Speakers Bureau; Pharmacyclics LLC, an AbbVie Company: Other: Travel Expenses, Research Funding, Speakers Bureau; TG Therapeutics: Other: Travel Expenses, Research Funding, Speakers Bureau; Genentech: Research Funding; Pharmacyclics LLC, an AbbVie Company: Other: Travel Expenses, Research Funding, Speakers Bureau; Acerta: Research Funding; TG Therapeutics: Other: Travel Expenses, Research Funding, Speakers Bureau; Acerta: Research Funding; Janssen: Consultancy, Other: Travel Expenses, Research Funding, Speakers Bureau; Ohio State University: Patents & Royalties: OSU-2S; Ohio State University: Patents & Royalties: OSU-2S; Acerta: Research Funding; TG Therapeutics: Other: Travel Expenses, Research Funding, Speakers Bureau. Lozanski:Boehringer Ingelheim: Research Funding; Beckman Coulter: Research Funding; Stemline Therapeutics Inc.: Research Funding; Genentec: Research Funding.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2019-125285

Language: English

Publisher: American Society of Hematology

Publication Date: 2019

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7