机构：[1]The Third Department of Surgery, the Fourth Hospital of HebeiMedical University, Shijiazhuang, 050011, China.[2]Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.[3]Big data analysis and mining application for precise diagnosis and treatment of gastric cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China.[4]School of Chinese Medicine & School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023 Jiangsu, China.[5]Department of Gastroenterology and Hepatology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002 Jiangsu, China.[6]Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, 430065 Hubei, China.[7]Department of General Surgery, Shijiazhuang People’s Hospital, Shijiazhuang, 050050 Hebei, China.[8]Department of General Surgery, Baoding Central Hospital, Baoding, 071030 Hebei, China.[9]Department of General Surgery, Hengshui People’s Hospital, Hengshui, 053099 Hebei, China.[10]Research Center and Tumor Research Institute of the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, China河北医科大学第四医院
This study proposes a novel non-invasive diagnostic approach utilizing transcriptomic profiling of liquid biopsy samples for the early detection of occult peritoneal metastases in locally advanced gastric cancer (LAGC). By analyzing RNA expression patterns of cancer cells, this method identifies specific gene signatures associated with peritoneal spread, potentially offering a more sensitive and comprehensive diagnostic tool compared to conventional imaging techniques. A 4-mRNA panel (BUB1, SPC25, CT83, MMP3) integrated with clinical features was developed into a Risk Stratification Assessment (RSA) model, demonstrating superior predictive accuracy in multiple cohorts with an area under the curve (AUC) of 0.836 in training and 0.882 in validation. This approach offers a promising alternative for early diagnosis, improving treatment decisions and clinical outcomes for gastric cancer patients, while enabling a shift from tissue-based testing to non-invasive blood-based diagnostics.
基金：
S&T Program of Hebei [23297701Z]; Hebei Natural Science Foundation [H2022206599]; Hebei Provincial Government-funded Clinical Talent Project [ZF2025180]; Medical Science Research Project of Hebei [GZ20250046]
第一作者机构：[1]The Third Department of Surgery, the Fourth Hospital of HebeiMedical University, Shijiazhuang, 050011, China.[2]Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.[3]Big data analysis and mining application for precise diagnosis and treatment of gastric cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China.
共同第一作者：
通讯作者：
通讯机构：[1]The Third Department of Surgery, the Fourth Hospital of HebeiMedical University, Shijiazhuang, 050011, China.[2]Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.[3]Big data analysis and mining application for precise diagnosis and treatment of gastric cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China.
推荐引用方式(GB/T 7714)：
Ding Ping'an,Wu Haotian,Wu Jiaxiang,et al.Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer[J].NPJ PRECISION ONCOLOGY.2025,9(1):doi:10.1038/s41698-025-00875-z.
APA：
Ding, Ping'an,Wu, Haotian,Wu, Jiaxiang,Li, Tongkun,Gu, Renjun...&Zhao, Qun.(2025).Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer.NPJ PRECISION ONCOLOGY,9,(1)
MLA：
Ding, Ping'an,et al."Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer".NPJ PRECISION ONCOLOGY 9..1(2025)
医学