Plasma cfDNA multi-omic biomarkers profiling for detection and stratification of gastric carcinoma
Shiyi Song,
Xiuli Zhang,
Pin Cui,
Weihuang He,
Jiyuan Zhou,
Shubing Wang,
Yong Xiong,
Shu Xu,
Xiaohui Lin,
Guozeng Huang,
Xiaohua Tan,
Qinglong Xu,
Yongling Liu,
Qingqun Li,
Kehua Yuan,
Mingji Feng,
Hanming Lai,
Hui Yang,
Shaorong Zhang
Affiliations
Shiyi Song
Department of Endoscopy, The First Affiliated Hospital of Xinxiang Medical University
Xiuli Zhang
Department of Gastroenterology, Guangming District People’s Hospital
Pin Cui
Shenzhen Rapha Biotechnology Incorporate
Weihuang He
Shenzhen Rapha Biotechnology Incorporate
Jiyuan Zhou
Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University
Shubing Wang
Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University-Hong Kong University of Science and Technology Medical Center
Yong Xiong
Department of Gastrointestinal Surgery, Shenzhen Guangming District People’s Hospital
Shu Xu
Department of Oncology, Shenzhen Guangming District People’s Hospital
Xiaohui Lin
Department of Oncology, People’s Hospital of Shenzhen Baoan District, The Second Affiliated Hospital of Shenzhen University
Guozeng Huang
Department of Gastrointestinal Surgery, Shenzhen Guangming District People’s Hospital
Xiaohua Tan
Department of Oncology, Shenzhen, Third People’s Hospital
Qinglong Xu
Department of Gastroenterology, Guangming District People’s Hospital
Yongling Liu
Department of Gastroenterology, Guangming District People’s Hospital
Qingqun Li
Department of Gastroenterology, Guangming District People’s Hospital
Kehua Yuan
Department of Oncology, Yantian Hospital, South University of Science and Technology
Mingji Feng
Shenzhen Rapha Biotechnology Incorporate
Hanming Lai
Shenzhen Rapha Biotechnology Incorporate
Hui Yang
Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University
Shaorong Zhang
Department of Gastroenterology, Guangming District People’s Hospital
Abstract Despite being the third in death rate among all cancers globally, gastric carcinoma (GC) is far from being detected accurately and timely, which could benefit the prognosis. To achieve this, we performed whole-genome sequencing (WGS) to plasma cfDNA of 733 participants, including healthy individuals, patients with benign gastric diseases and GC patients. The multi-omic biomarkers in this study, including fragmentation profile, end motif and genome-wide Copy Number Variations (CNV) of plasma cfDNA, are recently developed means for cancer detection and monitoring. And these biomarkers were extracted from WGS data to build machine learning algorithm based classifiers, prediction models, to discriminate GC patients from healthy individuals, achieving extremely high precision of sensitivity at 94.87% and specificity at 99.35%. Therefore, these cfDNA multi-omic biomarkers may serve as means to detect GC accurately, affordably and timely.
