PhD Scientific Days 2021

Budapest, 7-8 July 2021

PO_I_P: Pathology and Oncology I. Posters

Comprehensive Mutation Screening by Targeted Next-Generation Sequencing of Patients with Normal Karyotype Acute Myeloid Leukemia

Előadó neve

Dr. Krizsán, Szilvia

Előadó munkahelye

HCEMM-SE Molecular Oncohematology Research Group, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary

Előadó telefonszáma

+36202334232

Előadó e-mail címe

krizsan.szilvia@med.semmelweis-univ.hu

Az előadás címe

Comprehensive Mutation Screening by Targeted Next-Generation Sequencing of Patients with Normal Karyotype Acute Myeloid Leukemia

Szerző(k) neve és munkahelye

Szilvia Krizsán1, Donát Alpár1*, Csaba Bödör1*

1 HCEMM-SU Molecular Oncohematology Research Group, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary

Bemutatás módja

Poszter

Szekció

Pathology and Oncology I. Posters

Language of the presentation

English

Preferred session

Pathology and Oncology

Összefoglaló szövege

Introduction: Acute myeloid leukemia (AML) is a genetically heterogeneous clonal malignancy characterized by broad spectrum of genetic alterations and a 5-year mortality rate of 75%. Conventional cytogenetics remain one of the most important prognostic factors in AML, though 40-50% of patients have normal karyotype (NK). These cases are conventionally classified as intermediate-risk, however, the clinical outcomes are highly variable.
Aim: To establish the mutational profiles of 94 AML patients with normal karyotype diagnosed in our institute between 2006 and 2019 using targeted next-generation sequencing (NGS) to detect prognostically relevant mutations according to the ELN-2017 risk classification.
Methods: Diagnostic samples were obtained from bone marrow (n=83) or peripheral blood (n=11) of patients newly diagnosed with NK AML. Median age at diagnosis was 61 years (range 26-84). Median follow up time was 11.5 months (range 0.1-121.0) with a 5-year OS of 20.5%. Targeted NGS analysis of 54 genes recurrently altered in myeloid malignancies was performed using the TruSight Myeloid Gene Panel (Illumina) with the libraries sequenced on a NextSeq500 instrument (Illumina). The allelic ratio of FLT3 ITD to wild-type FLT3 was determined by PCR and fragment analysis.
Results: NGS revealed a total of 345 somatic variants in 94 diagnostic samples with an average allelic depth of 7400x. On average, 3.7 mutations (range: 0-19) were detected per sample, with an average variant allele frequency of 33.1% (range: 5.0-96.3%), and with four patients presenting with wild-type genotype for all 54 genes analyzed. The most frequently mutated genes included NPM1 (35%), DNMT3A (31%) and FLT3 (28%) in accordance with the literature, while poor prognostic markers (ASXL1, RUNX1, TP53 mutations) were detected in 28.7% of patients. In our cohort, potentially actionable mutations were identified in 53.0% of patients. Risk classification according to ELN-2017 criteria re-assigned 57.4% of patients into a more favorable or, more commonly, a more adverse-risk group compared with the ELN-2010 criteria.
Conclusion: Targeted NGS seems to be an efficient, high-throughput assay for the genomic characterization of patients with NK AML, that enables more accurate risk assessment and identification of actionable mutations.
Funding: SGA No. 739593, EFOP-3.6.3-VEKOP-16-2017-00009, FK20_134253

University and Doctoral School

Semmelweis University, Károly Rácz Doctoral School of Clinical Medicine

Supervisor

Donát Alpár, Csaba Bödör

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

4662

Start

11:52

End

11:55

Authors (legacy)

Szilvia Krizsán1, Donát Alpár1*, Csaba Bödör1*

1 HCEMM-SU Molecular Oncohematology Research Group, 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary