Abstract

3626 Background: Ataxia Telangiectasia and Rad3-related (ATR) is one of the core regulators participating in DNA damage response as a sensor of replication stress. Besides, ATR also plays a role in cell cycle checkpoint activation and DNA replication regulation. Several ATR inhibitors (ATRi) have been demonstrated in anti-cancer clinical trials. Herein, we describe the distribution of selected biomarkers, which have been shown to predict a higher sensitivity to ATRi according to preclinical data, in Chinese cancer population. Methods: FFPE tumor tissues and matched blood samples from 10,194 Chinese patients with 25 different types of solid tumors were collected. NGS based 450 cancer genes panel assay were performed to detect genomic alterations, including SNV, short and long insertions/deletions, CNV and rearrangements/fusions. The testing was carried out by a CAP accredited and CLIA certified laboratory. Results: The prevalence of ARID1A mutations, ATM mutations, BRCA1/BRCA2 mutations, MYC amplification, and CCNE1 amplification accounted for 9.5%, 4.7%, 6.0%, 3.5% and 3.3% of this cohort respectively. The most common tumors with ARID1A mutations were endometrial carcinoma (EC, 34.4%), gastric carcinoma (GC, 19.4%), small bowel carcinoma (SBC, 19.3%), intrahepatic cholangiocarcinoma (19.3%), extrahepatic cholangiocarcinoma (17.7%) and urothelial carcinoma (UC, 16.7%). For ATM mutations, the prevalence was colorectal carcinoma (CRC, 8.9%), SBC (8.8%), pancreatic cancer (7.8%), UC (7.3%), gallbladder carcinoma (GBC, 7.1%) and GC (6.8%). For BRCA1/BRCA2 mutations, the prevalence was ovarian carcinoma (29.5%, Germline 23%), breast carcinoma (13.3%, Germline 7.1%), EC (11.5%, Germline 3.3%), UC (10.4%), melanoma (8.5%) and CRC (7.9%). For MYC amplification, the prevalence was breast carcinoma (10.2%), ovarian carcinoma (9.2%), esophageal carcinoma (7.2%), thymic tumor (6.1%), cancer of unknown primary (CUP, 5.8%) and gastrointestinal neuroendocrine tumor (GI-NET, 5.4%). For CCNE1 amplification, the prevalence was GC (11.9%), GBC (8.8%), bone sarcoma (7.7%), ovarian carcinoma (6.9%), CUP (4.2%) and GI-NET (4.1%). Conclusions: Our study reported the prevalence of gene mutations of ATRi sensitivity determinants in a large cohort of Chinese cancer patients. The results revealed the high prevalence and different distribution of these biomarkers across a wide spectrum of cancers. The genomic profile study also provided information for ATRi sensitivity assessment and the drug combinations with ATR inhibition.

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