Literature DB >> 29739748

Circulating Exosomal miR-27a and miR-130a Act as Novel Diagnostic and Prognostic Biomarkers of Colorectal Cancer.

Xiangxiang Liu1, Bei Pan1, Li Sun1, Xiaoxiang Chen1,2, Kaixuan Zeng1,2, Xiuxiu Hu1,2, Tao Xu1, Mu Xu1, Shukui Wang3,2.   

Abstract

Background: Colorectal cancer is one of the most common cancers worldwide usually is associated with poor prognosis due to the advanced stage when diagnosed. This study aimed to investigate whether specific circulating exosomal miRNAs could act as biomarkers for early diagnosis of colorectal cancer.
Methods: A total of 369 peripheral blood samples were included in this study. In the discovery phase, circulating exosomal miR-27a and miR-130a were selected after synthetical analysis of two GEO datasets and TCGA database. The differential expression and diagnostic utility of miR-27a and miR-130a panel were validated using qRT-PCR and ROC curve analysis in subsequent training phase, validation phase, and external validation phase. The prognosis of circulating exosomal miR-27a and miR-130a were investigated using the Kaplan-Meier method.
Results: The expression of exosomal miR-27a and miR-130a in plasma significantly increased in colorectal cancer. The area under ROC curves (AUC) of miR-27a (miR-130a) were 0.773 (0.742) in the training phase, 0.82 (0.787) in the validation phase, and 0.746 (0.697) in the external validation phase. The combination of two miRNAs presented higher diagnostic utility for colorectal cancer (AUCs = 0.846, 0.898, and 0.801 for the training, validation, and external validation phases, respectively). Patients with colorectal cancer with high expression of circulating exosomal miR-27a or miR-130a underwent poorer prognosis.Conclusions: We identified a circulating exosomal miRNAs panel for the detection of colorectal cancer.Impact: The exosomal miR-27a and miR-130a panel in plasma may act as a noninvasive biomarker for early detection and predicting prognosis of colorectal cancer. Cancer Epidemiol Biomarkers Prev; 27(7); 746-54. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 29739748     DOI: 10.1158/1055-9965.EPI-18-0067

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


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