Clinical Implementation of Matched Tumor/Germline Sequencing Improves Accuracy of Tumor Genomic Profiling and Therapeutic Recommendations
- PMID: 40706989
- PMCID: PMC12597594
- DOI: 10.1016/j.jmoldx.2025.06.005
Clinical Implementation of Matched Tumor/Germline Sequencing Improves Accuracy of Tumor Genomic Profiling and Therapeutic Recommendations
Abstract
Genomic profiling of cancers informs diagnostic and prognostic classification and aids in selection of targeted therapeutics. Targeted, next-generation sequencing of cancer-specific genes is clinically feasible and enables comprehensive somatic reporting; without a matched germline specimen, germline alterations can confound analyses of the somatic profile and generate uncertainty in interpretation. This work reports the validation and implementation of optional matched tumor/germline sequencing in a precision cancer medicine program. DNA from 63 patient samples was analyzed using OncoPanel, a hybrid capture-based sequencing assay of 461 genes. Three analytical pipelines were implemented: tumor only, matched tumor/germline, and germline only. For matched tumor/germline, germline alterations in 19 genes with actionable/therapeutic implications were rescued. Retrospective analysis of the first 1600 matched cases was done to determine the potential clinical utility of this approach. Limit of detection for point mutations/insertions and deletions was 3% allele fraction; reproducibility was >98%. Matched tumor/germline concordance across 938 somatic calls was 100%. The average tumor mutational burden (TMB) was approximately 4 mutations/Mb lower than tumor-only sequencing. TMB-high patients were accurately reclassified as TMB-low in 14% of cases. Twenty-five percent of validation cases (14% after launch) had a pathogenic or likely pathogenic germline variant conferring cancer susceptibility; 14% of validation cases (7% after launch) harbored a germline variant of therapeutic significance. Matched tumor/germline sequencing is more accurate than tumor-only sequencing, while still encompassing all genomic findings that inform targeted therapy selection.
Copyright © 2025 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
Disclosure Statement None declared.
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References
-
- Reyna M.A., Haan D., Paczkowska M., Verbeke L.P.C., Vazquez M., Kahraman A., Pulido-Tamayo S., Barenboim J., Wadi L., Dhingra P., Shrestha R., Getz G., Lawrence M.S., Pedersen J.S., Rubin M.A., Wheeler D.A., Brunak S., Izarzugaza J.M.G., Khurana E., Marchal K., von Mering C., Sahinalp S.C., Valencia A., PCAWG Drivers and Functional Interpretation Working Group. Reimand J., Stuart J.M., Raphael B.J., PCAWG Consortium Pathway and network analysis of more than 2500 whole cancer genomes. Nat Commun. 2020;11:729. - PMC - PubMed
-
- Kandoth C., McLellan M.D., Vandin F., Ye K., Niu B., Lu C., Xie M., Zhang Q., McMichael J.F., Wyczalkowski M.A., Leiserson M.D.M., Miller C.A., Welch J.S., Walter M.J., Wendl M.C., Ley T.J., Wilson R.K., Raphael B.J., Ding L. Mutational landscape and significance across 12 major cancer types. Nature. 2013;502:333–339. - PMC - PubMed
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