1. Extracellular Vesicles Long RNA Sequencing Reveals Abundant mRNA, circRNA, and lncRNA in Human Blood as Potential Biomarkers for Cancer Diagnosis
- Author
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Guohai Shi, Jiong Wu, Qiupeng Zheng, Shenglin Huang, Weijie Guo, Xiaohong Cai, Haoyue Sheng, Yonghui Su, Lu Wang, Xianghuo He, Xigan He, Yan Li, Zhen Wang, Tianan Guo, Jie Chen, Jingjing Zhao, Peng Wang, Yuchen Li, and Shulin Yu
- Subjects
Male ,0301 basic medicine ,Cell type ,Sequence analysis ,Clinical Biochemistry ,Biology ,Extracellular Vesicles ,03 medical and health sciences ,0302 clinical medicine ,Immune system ,Neoplasms ,Biomarkers, Tumor ,medicine ,Humans ,RNA, Messenger ,Messenger RNA ,Sequence Analysis, RNA ,Biochemistry (medical) ,Area under the curve ,RNA ,RNA, Circular ,Extracellular vesicle ,medicine.disease ,030104 developmental biology ,030220 oncology & carcinogenesis ,Hepatocellular carcinoma ,Cancer research ,Female ,RNA, Long Noncoding - Abstract
BACKGROUND Extracellular vesicles (EVs) contain a rich cargo of different RNA species with specialized functions and clinical applications. However, the landscape and characteristics of extracellular vesicle long RNA (exLR) in human blood remain largely unknown. METHODS We presented an optimized strategy for exLR sequencing (exLR-seq) of human plasma. The sample cohort included 159 healthy individuals, 150 patients with cancer (5 cancer types), and 43 patients with other diseases. Bioinformatics approaches were used to analyze the distribution and features of exLRs. Support vector machine algorithm was performed to construct the diagnosis classifier, and diagnostic efficiency was evaluated by ROC analysis. RESULTS More than 10000 exLRs, including mRNA, circRNA, and lncRNA, were reliably detected in each exLR-seq sample from 1–2 mL of plasma. We observed that blood EVs contain a substantial fraction of intact mRNAs and a large number of assembling spliced junctions; circRNA was also enriched in blood EVs. Interestingly, blood exLRs reflected their tissue origins and the relative fractions of different immune cell types. Additionally, the exLR profile could distinguish patients with cancer from healthy individuals. We further showed that 8 exLRs can serve as biomarkers for hepatocellular carcinoma (HCC) diagnosis with high diagnostic efficiency in training [area under the curve (AUC) = 0.9527; 95% CI, 0.9170–0.9883], validation cohort (AUC = 0.9825; 95% CI, 0.9606–1), and testing cohort (AUC = 0.9627; 95% CI, 0.9263–0.9991). CONCLUSIONS In summary, this study revealed abundant exLRs in human plasma and identified diverse specific markers potentially useful for cancer diagnosis.
- Published
- 2019