| Literature DB >> 31015309 |
Weiguo Cao1, Yaping Xu2, Lianpeng Chang2, Yuhua Gong2, Liren Li3, Xianwei Mo4, Xin Zhang5, Guole Lin6, Jiaolin Zhou6, Dan Liu2, Yuting Yi2, Pingping Dai2, Chenchen Zhu2, Tao Liu2,7, Yuxing Chu2,7, Yanfang Guan2,7, Yongsheng Chen2,7, Jiayin Wang7, Xuefeng Xia2, Ling Yang2, Xin Yi2, Yong Cheng8.
Abstract
Circulating tumor DNA (ctDNA) enables genomic profiling of colorectal cancer. We investigated therapeutic targets by performing ctDNA panel-captured sequencing of 152 blood samples from advanced stage patients, from which somatic mutations and potentially actionable targets were evaluated. An additional 11 matched tissue samples were retrospectively obtained to verify target validity. The mutation frequencies of 1,127 collective genetic variants identified in our study strongly correlated with those of multiple public databases (Pearson R 2 = 0.92, P < 0.0001). The clonal fraction of driver genes was 90.3%, which was significantly higher than that of potential passenger genes (58.12%). Totally, 90 drug-sensitive genes from 56 patients (36.84%) were identified, including recurring targets PIK3CA, FBXW7, EGFR, BRAF, and NRAS Various resistance mechanisms of anti-EGFR antibodies were revealed via ctDNA profiling, with 29 patients individually exhibiting multiple mechanisms, suggesting considerable resistance heterogeneity in our study population. Of the matched tissue/blood pairs, 88.14% of tissue-derived mutations were detected in ctDNA, and 88.9% of actionable targets were validated. The mutational landscape of ctDNA was highly consistent with tissue databases, and ctDNA profiling showed favorable concordance with tumor tissues in our matched analysis. Thus, comprehensive ctDNA genotyping is a promising noninvasive alternative to biopsy-derived analysis for determining targeted therapy in advanced colorectal cancer. ©2019 American Association for Cancer Research.Entities:
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Year: 2019 PMID: 31015309 DOI: 10.1158/1535-7163.MCT-18-1247
Source DB: PubMed Journal: Mol Cancer Ther ISSN: 1535-7163 Impact factor: 6.261