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 language | English |
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Pages (from-to) | 1589-1593 |
Number of pages | 5 |
Journal | JAMA oncology |
Volume | 4 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2018 |