Peripheral blood non-canonical small non-coding RNAs as novel biomarkers in lung cancer

Wanjun Gu(State Key Laboratory of Digital Medical Engineering), Junchao Shi(University of California, Riverside), Hui Liu(Bengbu Medical College), Xudong Zhang(University of California, Riverside), Jin Zhou(University of Arizona), Musheng Li(University of Nevada, Reno), Dandan Zhou(University of Nevada, Reno), Rui Li(Bengbu Medical College), Jingzhu Lv(Bengbu Medical College), Guoxia Wen(State Key Laboratory of Digital Medical Engineering), Shanshan Zhu(State Key Laboratory of Digital Medical Engineering), Ting Qi(State Key Laboratory of Digital Medical Engineering), Wei Li(First Affiliated Hospital of Bengbu Medical College), Xiaojing Wang(First Affiliated Hospital of Bengbu Medical College), Zhaohua Wang(The Second Affiliated Hospital of Bengbu Medical College), Hua Zhu(The Ohio State University), Changcheng Zhou(University of California, Riverside), Kenneth S. Knox(University of Arizona), Ting Wang(University of Arizona), Qi Chen(University of California, Riverside), Zhongqing Qian(Bengbu Medical College), Tong Zhou(University of Nevada, Reno)
Molecular Cancer
November 12, 2020
Cited by 82Open Access
Full Text

Abstract

One unmet challenge in lung cancer diagnosis is to accurately differentiate lung cancer from other lung diseases with similar clinical symptoms and radiological features, such as pulmonary tuberculosis (TB). To identify reliable biomarkers for lung cancer screening, we leverage the recently discovered non-canonical small non-coding RNAs (i.e., tRNA-derived small RNAs [tsRNAs], rRNA-derived small RNAs [rsRNAs], and YRNA-derived small RNAs [ysRNAs]) in human peripheral blood mononuclear cells and develop a molecular signature composed of distinct ts/rs/ysRNAs (TRY-RNA). Our TRY-RNA signature precisely discriminates between control, lung cancer, and pulmonary TB subjects in both the discovery and validation cohorts and outperforms microRNA-based biomarkers, which bears the diagnostic potential for lung cancer screening.


Related Papers

No related papers found

Powered by citation graph analysis