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Sequential tumor molecular profiling identifies likely germline variants.
- Source :
-
Genetics in medicine : official journal of the American College of Medical Genetics [Genet Med] 2024 Mar; Vol. 26 (3), pp. 101037. Date of Electronic Publication: 2023 Dec 03. - Publication Year :
- 2024
-
Abstract
- Purpose: To identify likely germline DNA variants from sequential tumor profiling data from hematopoietic malignancies (HMs).<br />Methods: The coefficient of variance was calculated from variant allele frequency of next-generation sequencing assays. Variants' likelihood of being germline was ranked on a 1 to 5 scale. Outcomes were examined in patients with such variants.<br />Results: In a pilot set of 33 genes, 89% of grade 1, 77% of grade 2, 62% of grade 3, 52% of grade 4, and 21% of grade 5 variants were confirmed to be germline. Among those, 22% were pathogenic or likely pathogenic in genes recognized as conferring hereditary HM risk, including BRCA1/2, CHEK2, CSF3R, and DDX41. To determine if this approach identified genes with known autosomal dominant inheritance, we analyzed sequential data from 1336 genes in 1135 HM patients. Among unique variants, 16% occurred in hereditary HM genes, and 15% were deleterious. Patients with grade 1/2 alleles had decreased survival 2 years after initial molecular testing (78% versus 88%, P = .0037) and increased all-cause mortality compared with those without (hazard ratio 2.02, 95% CI 1.18-3.46, P = .019).<br />Conclusion: Variant germline status may be predicted using sequential tumor profiling and patients with likely germline variants experience inferior outcomes compared with those without.<br />Competing Interests: Conflict of Interest The authors declare no conflicts of interest.<br /> (Copyright © 2023 American College of Medical Genetics and Genomics. Published by Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1530-0366
- Volume :
- 26
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Genetics in medicine : official journal of the American College of Medical Genetics
- Publication Type :
- Academic Journal
- Accession number :
- 38054407
- Full Text :
- https://doi.org/10.1016/j.gim.2023.101037