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Extracellular Vesicles Long RNA Sequencing Reveals Abundant mRNA, circRNA, and lncRNA in Human Blood as Potential Biomarkers for Cancer Diagnosis.
Li, Yuchen; Zhao, Jingjing; Yu, Shulin; Wang, Zhen; He, Xigan; Su, Yonghui; Guo, Tianan; Sheng, Haoyue; Chen, Jie; Zheng, Qiupeng; Li, Yan; Guo, Weijie; Cai, Xiaohong; Shi, Guohai; Wu, Jiong; Wang, Lu; Wang, Peng; He, Xianghuo; Huang, Shenglin.
Afiliación
  • Li Y; Fudan University Shanghai Cancer Center, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
  • Zhao J; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Yu S; Fudan University Shanghai Cancer Center, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
  • Wang Z; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • He X; Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Su Y; Fudan University Shanghai Cancer Center, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
  • Guo T; Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Sheng H; Department of Breast Surgery, Breast Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Chen J; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Zheng Q; Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Li Y; Department of Gastric Cancer and Soft Tissue Sarcomas, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Guo W; Fudan University Shanghai Cancer Center, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
  • Cai X; Fudan University Shanghai Cancer Center, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
  • Shi G; Fudan University Shanghai Cancer Center, Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
  • Wu J; Blood Transfusion Department, Ruijin Hospital, Medical School of Shanghai Jiao Tong University, Shanghai, China.
  • Wang L; Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Wang P; Department of Breast Surgery, Breast Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China.
  • He X; Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Huang S; Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, China; wangp413@163.com xhhe@fudan.edu.cn slhuang@fudan.edu.cn.
Clin Chem ; 65(6): 798-808, 2019 06.
Article en En | MEDLINE | ID: mdl-30914410
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN Mensajero / Biomarcadores de Tumor / ARN Largo no Codificante / Vesículas Extracelulares / ARN Circular / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Clin Chem Asunto de la revista: QUIMICA CLINICA Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN Mensajero / Biomarcadores de Tumor / ARN Largo no Codificante / Vesículas Extracelulares / ARN Circular / Neoplasias Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Clin Chem Asunto de la revista: QUIMICA CLINICA Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido