Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study.
Saved in:
| Title: | Construction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study. |
|---|---|
| Authors: | Cai ZR; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China., Zheng YQ; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China., Hu Y; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China., Ma MY; Department of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, People's Republic of China., Wu YJ; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China., Liu J; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China., Yang LP; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China., Zheng JB; Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, People's Republic of China., Tian T; Department of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, People's Republic of China., Hu PS; Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, People's Republic of China., Liu ZX; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China., Zhang L; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China juhq@sysucc.org.cn xurh@sysucc.org.cn zhanglin@sysucc.org.cn., Xu RH; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China juhq@sysucc.org.cn xurh@sysucc.org.cn zhanglin@sysucc.org.cn., Ju HQ; State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China juhq@sysucc.org.cn xurh@sysucc.org.cn zhanglin@sysucc.org.cn.; Department of Clinical Oncology, Shenzhen Key Laboratory for Cancer Metastasis and Personalized Therapy, The University of Hong Kong-Shenzhen Hospital, Shenzhen, People's Republic of China. |
| Source: | Gut [Gut] 2025 May 07; Vol. 74 (6), pp. 884-893. Date of Electronic Publication: 2025 May 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: British Medical Assn Country of Publication: England NLM ID: 2985108R Publication Model: Electronic Cited Medium: Internet ISSN: 1468-3288 (Electronic) Linking ISSN: 00175749 NLM ISO Abbreviation: Gut Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
