Serial Monitoring of Circulating Tumor DNA in Patients With Metastatic Colorectal Cancer to Predict the Therapeutic Response

Jia, Ning and Sun, Zhao and Gao, Xin and Cheng, Yuejuan and Zhou, Yanping and Shen, Chunying and Chen, Wei and Wang, Xueliang and Shi, Rong and Li, Nan and Zhou, Jianfeng and Bai, Chunmei (2019) Serial Monitoring of Circulating Tumor DNA in Patients With Metastatic Colorectal Cancer to Predict the Therapeutic Response. Frontiers in Genetics, 10. ISSN 1664-8021

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Abstract

Early biomarkers of therapeutic responses can help optimize the treatment of metastatic colorectal cancers (mCRC). In this prospective exploratory study, we examined serial changes of plasma-circulating tumor DNA (ctDNA) in 41 mCRC patients receiving first-line chemotherapies and tested its association with treatment outcomes according to radiological assessments. Using next-generation sequencing technologies, we profiled somatic mutations in 50 cancer-related genes in ctDNA before each of the first four treatment cycles. We observed mutations in 95.7% of pre-treatment ctDNA samples. Using mutations of the maximal frequency in each pre-treatment plasma ctDNA sample as the candidate targets, we computed log2 fold changes of ctDNA levels between adjacent treatment cycles. We found that ctDNA reductions as early as prior to cycle 2 predicted responses after cycle 4. Log2 fold changes of ctDNA after cycle 1 (ctDNA log2 (C1/C0)) > −0.126 predicted progressive disease, with an accuracy of 94.6%. These patients also showed significantly worse progression-free survival than those with ctDNA log2 (C1/C0) ≤ −0.126 (median 2.0 vs. 9.0 months; P = 0.007). Together, the present exploratory study suggests that early changes in ctDNA levels detected via targeted sequencing are potential biomarkers of future treatment responses in mCRCs.

Item Type: Article
Subjects: Digital Open Archives > Medical Science
Depositing User: Unnamed user with email support@digiopenarchives.com
Date Deposited: 07 Feb 2023 10:40
Last Modified: 13 Jun 2024 13:31
URI: http://geographical.openuniversityarchive.com/id/eprint/261

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