Serial Next-Generation Sequencing for Detection of Germline Predisposition in Acute Myeloid Leukemia

Somatic next-generation sequencing (NGS) panel are now routinely performed at diagnosis of acute myeloid leukemia (AML) to identify genetic variants for risk stratification and treatment decisions. The variant allele frequencies (VAF) suspected to be germline variants remain persistently high in complete remission (CR) state, allowing these variants to be identified as germline variants. The NGS panel used clinically for diagnosis includes representative genes associated with germline predisposition to myeloid neoplasms. Based on above information, we aimed to investigate the frequency of germline variants and their prognostic significance of AML in patients with matched samples at diagnosis and at CR state. We conducted a prospective multicenter study (KCT0004825) collecting serial samples from AML patients. The process of interpreting germline variants is performed according to the American College of Medical Genetics and Genomics (ACMG) variant interpretation guidelines. We classified germline variants as causality if they were either ‘Pathogenic’ or ‘Likely Pathogenic’ by the ACMG guideline or if they were accompanied by a somatic mutation with ‘Variants of Uncertain Significance’. This study enrolled 603 patients diagnosed with treatable AML, excluding acute promyelocytic leukemia, between Feb. 2017 and Jun. 2021 from 17 institutions. Among these, paired CR samples were available for 343 patients who were eligible for NGS at diagnosis and after chemotherapies. We detected germline variants in 19 patients (5.5%). The most frequent germline mutations were in DDX41 (n=11, 58%) followed by DNAH5 (n=3, 16%), CEBPA and TP53 (both n=2, 11%), and MPL and GATA2 (both n=1, 5%). One patient harbored both TP53 and DNAH5 germline mutations. The mean VAF at diagnosis and CR samples were 48.9% [inter-quantile range (IQR): 47.8%-49.9%] and 48.0% (IQR: 47.6%-49.7%) respectively. Compared with non-germline mutated patients, patients with germline mutations were more hypoplastic (50% vs 80%, P < 0.001), and low bone marrow blast counts (34% vs. 65%, P=0.004). Germline mutations were not observed in the favorable cytogenetic risk group (0% vs. 23.1%, P= 0.03), and were rarely detected in 2022 European LeukemiaNet favorable risk group (5.3% vs. 47.5%, P <0.001), compared with non-germline mutated patients. Intensive chemotherapy was more frequently administered in the non-germline mutated group (P=0.022) but, there was no difference in the rate of allogeneic transplants between the two groups (P>0.05). Comparing survival rates, there was no difference between two groups that received intensive chemotherapy, nor was there a difference for those who underwent allogeneic transplantation (all, P>0.05). In conclusion, NGS analysis using matched CR samples proves to be an invaluable tool in detecting germline mutations. Since patients with germline mutations are rarely classified into the favorable risk category, most patients in this group should consider allogeneic transplantation. Although patients with germline mutations did not show significant prognostic differences in treatment outcomes due to the small number of patients, more studies involving a larger cohort are needed to determine the role of allogeneic transplantation.

Authors

Institutions

Publication Details

Journal
Blood
Published
2024-11-05
DOI
https://doi.org/10.1182/blood-2024-205069
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Serial Next-Generation Sequencing for Detection of Germline Predisposition in Acute Myeloid Leukemia

Jae‐Sook Ahn, Young Rok, Jae Joon Han, Ho‐Young Yhim et al.
Blood
Acute Myeloid Leukemia Research
article

Serial Next-Generation Sequencing for Detection of Germline Predisposition in Acute Myeloid Leukemia

Jae‐Sook Ahn, Young Rok, Jae Joon Han, Ho‐Young Yhim, Joo Heon Park, Yong Park, Seong Kyu Park, June‐Won Cheong, Ho Sup Lee, Chanyang Lee, Yunsuk Choi, Sung Hwa Bae, Hyeoung‐Joon Kim, Silvia Park, Sang Kyun Sohn, Ik‐Chan Song, Sung‐Hyun Kim, Hyewon Lee, Inho Kim, Min Kyoung Kim, Ho‐Jin Shin, Hong-Ghi Lee, Hee‐Je Kim
article en

Abstract

Somatic next-generation sequencing (NGS) panel are now routinely performed at diagnosis of acute myeloid leukemia (AML) to identify genetic variants for risk stratification and treatment decisions. The variant allele frequencies (VAF) suspected to be germline variants remain persistently high in complete remission (CR) state, allowing these variants to be identified as germline variants. The NGS panel used clinically for diagnosis includes representative genes associated with germline predisposition to myeloid neoplasms. Based on above information, we aimed to investigate the frequency of germline variants and their prognostic significance of AML in patients with matched samples at diagnosis and at CR state. We conducted a prospective multicenter study (KCT0004825) collecting serial samples from AML patients. The process of interpreting germline variants is performed according to the American College of Medical Genetics and Genomics (ACMG) variant interpretation guidelines. We classified germline variants as causality if they were either ‘Pathogenic’ or ‘Likely Pathogenic’ by the ACMG guideline or if they were accompanied by a somatic mutation with ‘Variants of Uncertain Significance’. This study enrolled 603 patients diagnosed with treatable AML, excluding acute promyelocytic leukemia, between Feb. 2017 and Jun. 2021 from 17 institutions. Among these, paired CR samples were available for 343 patients who were eligible for NGS at diagnosis and after chemotherapies. We detected germline variants in 19 patients (5.5%). The most frequent germline mutations were in DDX41 (n=11, 58%) followed by DNAH5 (n=3, 16%), CEBPA and TP53 (both n=2, 11%), and MPL and GATA2 (both n=1, 5%). One patient harbored both TP53 and DNAH5 germline mutations. The mean VAF at diagnosis and CR samples were 48.9% [inter-quantile range (IQR): 47.8%-49.9%] and 48.0% (IQR: 47.6%-49.7%) respectively. Compared with non-germline mutated patients, patients with germline mutations were more hypoplastic (50% vs 80%, P < 0.001), and low bone marrow blast counts (34% vs. 65%, P=0.004). Germline mutations were not observed in the favorable cytogenetic risk group (0% vs. 23.1%, P= 0.03), and were rarely detected in 2022 European LeukemiaNet favorable risk group (5.3% vs. 47.5%, P <0.001), compared with non-germline mutated patients. Intensive chemotherapy was more frequently administered in the non-germline mutated group (P=0.022) but, there was no difference in the rate of allogeneic transplants between the two groups (P>0.05). Comparing survival rates, there was no difference between two groups that received intensive chemotherapy, nor was there a difference for those who underwent allogeneic transplantation (all, P>0.05). In conclusion, NGS analysis using matched CR samples proves to be an invaluable tool in detecting germline mutations. Since patients with germline mutations are rarely classified into the favorable risk category, most patients in this group should consider allogeneic transplantation. Although patients with germline mutations did not show significant prognostic differences in treatment outcomes due to the small number of patients, more studies involving a larger cohort are needed to determine the role of allogeneic transplantation.

BloodVol. 144(Supplement 1)
Ulsan College (KR), Yonsei University (KR), Korea University (KR), Soonchunhyang University (KR), Severance Hospital (KR), Kyungpook National University Hospital (KR), Kosin University Gospel Hospital (KR), Asan Medical Center (KR), Seoul National University Hospital (KR), University of Ulsan (KR), Konkuk University Medical Center (KR), Kyung Hee University Medical Center (KR), Pusan National University Hospital (KR), National Cancer Center (KR), Keimyung University Dongsan Medical Center (KR), Chungnam National University Hospital (KR), Chonnam National University Hwasun Hospital (KR), The Catholic University of Korea Seoul St. Mary's Hospital (KR), Dong-A University (KR), Keimyung University (KR), Yeungnam University (KR), Bucheon University (KR), Jeonbuk National University (KR), Catholic University of Korea (KR)
Good health and well-being
Openalex Percentile: Top 63%
Acute Myeloid Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.