Abstract
PURPOSE We developed a precision medicine program for patients with advanced cancer using integrative whole-exome sequencing and transcriptome analysis. PATIENTS AND METHODS Five hundred fifteen patients with locally advanced/metastatic solid tumors were prospectively enrolled, and paired tumor/normal sequencing was performed. Seven hundred fifty-nine tumors from 515 patients were evaluated. RESULTS Most frequent tumor types were prostate (19.4%), brain (16.5%), bladder (15.4%), and kidney cancer (9.2%). Most frequently altered genes were TP53 (33%), CDKN2A (11%), APC (10%), KTM2D (8%), PTEN (8%), and BRCA2 (8%). Pathogenic germline alterations were present in 10.7% of patients, most frequently CHEK2 (1.9%), BRCA1 (1.5%), BRCA2 (1.5%), and MSH6 (1.4%). Novel gene fusions were identified, including a RBM47-CDK12 fusion in a metastatic prostate cancer sample. The rate of clinically relevant alterations was 39% by whole-exome sequencing, which was improved by 16% by adding RNA sequencing. In patients with more than one sequenced tumor sample (n = 146), 84.62% of actionable mutations were concordant. CONCLUSION Integrative analysis may uncover informative alterations for an advanced pan-cancer patient population. These alterations are consistent in spatially and temporally heterogeneous samples.
| Original language | English |
|---|---|
| Journal | JCO Precision Oncology |
| Volume | 3 |
| Pages (from-to) | 1-12 |
| Number of pages | 12 |
| ISSN | 2473-4284 |
| DOIs | |
| Publication status | Published - 2019 |
Funding
Supported by the Englander Institute for Precision Medicine of Weill Cornell Medicine and New York Presbyterian, the Translational Research Program of the Department of Pathology and Laboratory Medicine at Weill Cornell Medicine. Funded by Department of Defense Grants No. PC121341 (H.B.) and PC160264 (D.R., H.B.), the Prostate Cancer Foundation (L.P., M.A.R., and H.B.), and National Cancer Institute SPORE in Prostate Cancer Grant No. P50-CA211024 (J.M.M., M.A.R., O.E., and H.B.).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Areas and Centers
- Research Area: Luebeck Integrated Oncology Network (LION)
- Centers: University Cancer Center Schleswig-Holstein (UCCSH)
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