Literature DB >> 31015309

Genotyping of Circulating Tumor DNA Reveals the Clinically Actionable Mutation Landscape of Advanced Colorectal Cancer.

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:  

Mesh:

Substances:

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


  4 in total

1.  Plasma-Based Measurements of Tumor Heterogeneity Correlate with Clinical Outcomes in Metastatic Colorectal Cancer.

Authors:  Stephanie J Yaung; Christine Ju; Sandeep Gattam; Alan Nicholas; Nicolas Sommer; Johanna C Bendell; Herbert I Hurwitz; John J Lee; Fergal Casey; Richard Price; John F Palma
Journal:  Cancers (Basel)       Date:  2022-04-29       Impact factor: 6.575

2.  Pan-cancer circulating tumor DNA detection in over 10,000 Chinese patients.

Authors:  Yongliang Zhang; Yu Yao; Yaping Xu; Lifeng Li; Yan Gong; Kai Zhang; Meng Zhang; Yanfang Guan; Lianpeng Chang; Xuefeng Xia; Lin Li; Shuqin Jia; Qiang Zeng
Journal:  Nat Commun       Date:  2021-01-04       Impact factor: 14.919

3.  Association between somatic RET mutations and clinical and genetic characteristics in patients with metastatic colorectal cancer.

Authors:  Yuan-Zhong Yang; Wan-Ming Hu; Liang-Ping Xia; Wen-Zhuo He
Journal:  Cancer Med       Date:  2021-11-05       Impact factor: 4.452

Review 4.  Tumor Biomarker Testing for Metastatic Colorectal Cancer: a Canadian Consensus Practice Guideline.

Authors:  Irene S Yu; Francine Aubin; Rachel Goodwin; Jonathan M Loree; Cheryl Mather; Brandon S Sheffield; Stephanie Snow; Sharlene Gill
Journal:  Ther Adv Med Oncol       Date:  2022-07-20       Impact factor: 5.485

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.