Prevalence of clonal hematopoiesis mutations in tumor-only clinical genomic profiling of solid tumors

Ryan N. Ptashkin, Diana L. Mandelker, Catherine C. Coombs, Kelly Bolton, Zarina Yelskaya, David M. Hyman, David B. Solit, José Baselga, Maria E. Arcila, Marc Ladanyi, Liying Zhang, Ross L. Levine, Michael F. Berger, Ahmet Zehir

Research output: Contribution to journalArticlepeer-review

128 Scopus citations

Abstract

IMPORTANCE: Although clonal hematopoiesis (CH) is well described in aging healthy populations, few studies have addressed the practical clinical implications of these alterations in solid-tumor sequencing. OBJECTIVE: To identify and quantify CH-related mutations in patients with solid tumors using matched tumor-blood sequencing, and to establish the proportion that would be misattributed to the tumor based on tumor-only sequencing (unmatched analysis). DESIGN, SETTING, AND PARTICIPANTS: Retrospective analysis of samples from 17 469 patients with solid cancers who underwent prospective clinical sequencing of DNA isolated from tumor tissue and matched peripheral blood using the MSK-IMPACT assay between January 2014 and August 2017. MAIN OUTCOMES AND MEASURES: We identified the presence of CH-related mutations in each patient's blood leukocytes and quantified the fraction of DNA molecules harboring the mutation in the corresponding matched tumor sample. RESULTS: The mean age of the 17 469 patients with cancer at sample collection was 59.2 years (range, 0.3-98.9 years); 53.6% were female. We identified 7608 CH-associated mutations in the blood of 4628 (26.5%) patients. A total of 1075 (14.1%) CH-associated mutations were also detectable in the matched tumor above established thresholds for calling somatic mutations. Overall, 912 (5.2%) patients would have had at least 1 CH-associated mutation erroneously called as tumor derived in the absence of matched blood sequencing. A total of 1061 (98.7%) of these mutations were absent from population scale databases of germline polymorphisms and therefore would have been challenging to filter informatically. Annotating variants with OncoKB classified 534 (49.7%) as oncogenic or likely oncogenic. CONCLUSIONS AND RELEVANCE: This study demonstrates how CH-derived mutations could lead to erroneous reporting and treatment recommendations when tumor-only sequencing is used.

Original languageEnglish
Pages (from-to)1589-1593
Number of pages5
JournalJAMA oncology
Volume4
Issue number11
DOIs
StatePublished - Nov 2018

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