Type: Oral
Session: 617. Acute Myeloid Leukemias: Biomarkers, Molecular Markers and Minimal Residual Disease in Diagnosis and Prognosis: Risk Refinement and Therapy Response
Hematology Disease Topics & Pathways:
Research, Acute Myeloid Malignancies, AML, Translational Research, genomics, Diseases, Myeloid Malignancies, Biological Processes
Methods: We collected diagnostic samples from 523 adult AML patients (median age 59 years) with abn(7). Whole-exome sequencing (WES) was performed to discover potentially underestimated genetic lesions in 61 paired diagnostic / remission samples. Subsequently, a gene panel including 66 genes and a SNP backbone for copy-number aberration (CNA) detection was designed and applied to the remaining 471 samples. The majority of patients (78%) were diagnosed with de novo (dn) AML, whereas 22% had secondary (s) or therapy-related (t) AML. Intensive induction treatment was administered to 80% of the patients, while 36 % underwent allogenic stem cell transplantation. Apart from 43% of patients with concomitant complex karyotype (abn(7)/CK+), 24% had -7 as a sole abnormality (-7 sole) and 13% del(7q) sole.
Results: A mean of 15.3 single-nucleotide variants (SNVs) and 7.5 CNAs per patient were found by WES. Here, the most frequent recurrent SNVs were identified in TP53 (29.5%), followed by mutations (mut) in genes involved in epigenetic regulation (DNMT3A, TET2, ASXL1, IDH2), transcription factors (RUNX1), and genes affecting RAS-signaling (NF1, KRAS), Figure 1.
Targeted sequencing revealed 1829 SNVs with a VAF≥ 2% in 64 genes (mean: 3.8 SNVs / patient). 30% of patients harbored at least one mutation in genes located within the commonly deleted region of 7q, most frequently KMT2C, EZH2, CUX1, SAMD9L, SAMD9, LUC7L2, and BRAF. The number of driver gene mutations was higher in CK- than in CK+ patients (4.5 vs. 3.3 SNVs). We found KRAS (OR 3.76, CI 1.17-16.87, P= .044) and RUNX1 (OR 3.61, CI 1.62-8.78, P= .003) mutations to be enriched in -7 sole patients, and FLT3 mutations to be associated with del(7q) sole status (OR 0.33, CI 0.13-0.82, P= .019). With respect to previously unknown lesions, a high amount of KMT2C mutations (16.6%) and recurrent alterations in FAT1 and TACC2 were discovered (6.4% each; Fig. 1). For KMT2C – located on chr7q36.1 – a total of 98 SNVs with mainly missense (73.5%) and truncating (20.4%) mutations at known cancer hotspots were noted. KMT2Cmut was associated with dnAML and AML with maturation morphology. In the entire cohort, the most common co-occurring chromosomal alterations discovered by high-resolution CNA analysis were deletions in chromosomes 5, 17, and 12. Our approach enabled the identification of small fragment deletions (≤10Mb) affecting the TP53, NF1, and ETV6 loci in 5-9% of all cases, which were missed by conventional G-banding. Cancer Cell Fraction and Bradley-Terry models were used to simulate the sequential order of genomic aberrations. While mutations in TP53 and epigenetic-related genes were early events, -7 and del(7q) were often subclonal and SNVs in NRAS, KMT2C very late events in leukemogenesis.
Survival analyses in intensively-treated patients (n= 414) revealed that 61% reached complete remission, 67% relapsed, and median overall survival (OS) was 11.9 months. AbnTP53 and high WBC count were independently associated with shorter relapse-free survival (RFS). For OS, besides older age and high WBC count, we identified abnTP53, PTPN11mut, TET2mut, -5, and -18 as poor prognostic factors in multivariate analysis (Table 1). In contrast, IDH2mut conferred an independent favorable prognostic effect for RFS and OS. Notably, abnTP53 outcompeted the prognostic impact of CK+ (Table 1). Compared to TP53wt, patients with abnTP53/CK+ and abnTP53/CK- had a similar poor outcome with median RFS of 6 and 4 months (CK+/CK-, P<.001) and OS of 6.8 and 8.6 months (CK+/CK-, P<.001). In contrast to other genomic studies in myelodysplastic syndrome, we found abnTP53 to be associated with poor outcome irrespective of the single- or multihit mutation status following definitions of the latest ICC classification (Blood, 2022).
Conclusion: Our results offer novel insights into the genomic landscape and clonal trajectory of AML with abn(7). This work unravels formerly underestimated genetic lesions (KMT2Cmut) and alterations with high prognostic impact (abnTP53 and IDH2mut) for better future risk stratification.
Disclosures: Halik: Jazz Pharmaceuticals: Other: Travel expenses not related to this work or event. Heuser: LabDelbert: Consultancy; Amgen: Consultancy; Servier: Consultancy; Loxo Oncology: Research Funding; PinotBio: Consultancy, Research Funding; Novartis: Honoraria; Pfizer: Consultancy, Honoraria; Certara: Honoraria; Sobi: Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Glycostem: Consultancy, Research Funding; BergenBio: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Astellas: Research Funding; Agios: Research Funding; Abbvie: Consultancy, Research Funding; Karyopharm: Research Funding; Janssen: Honoraria. Metzeler: BMS: Consultancy, Honoraria; AbbVie: Honoraria, Research Funding; Pfizer: Honoraria; Otsuka: Honoraria; Janssen: Honoraria; Novartis: Consultancy. Esteve: Jazz Pharmaceuticals: Consultancy, Research Funding; Pfizer: Research Funding; Gilead: Consultancy; Kronos Bio: Research Funding; Abbvie: Consultancy; Astellas: Consultancy. Linch: Autolus Therapeutics: Consultancy. Döhner: Abbvie: Consultancy, Honoraria, Research Funding; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Gilead: Consultancy, Honoraria; Agios: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Kronos-Bio: Research Funding; Pfizer: Research Funding; Stemline: Consultancy, Honoraria; Servier: Consultancy, Honoraria; Syndax: Honoraria; Daiichi Sankyo: Consultancy, Honoraria; Astellas: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; Berlin-Chemie: Consultancy, Honoraria. Döhner: Ulm University Hospital: Current Employment; AbbVie: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria; Astellas: Research Funding; Agios: Research Funding. Bullinger: Daiichi Sankyo: Honoraria; Bristol-Myers Squibb: Honoraria; Amgen: Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer Oncology: Research Funding; Jazz Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria; Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria. Damm: Gilead: Honoraria; Incyte: Honoraria; Roche: Honoraria; Novartis: Honoraria; AbbVie: Honoraria; AstraZeneca: Honoraria.