Identification of combinatorial miRNA panels derived from extracellular vesicles as biomarkers for esophageal squamous cell carcinoma

Author:

Wang Yaojie12,Li Xiaoya12,Wei Xiaojian12,Li Lei12,Bai Hanyu12,Yan Xi2,Zhang Hongtao3,Zhao Libo12,Zhou Wei4,Zhao Lianmei12

Affiliation:

1. Research Center The Fourth Hospital of Hebei Medical University Shijiazhuang China

2. Key Laboratory of Tumor Gene Diagnosis, Prevention and Therapy of Hebei Province Shijiazhuang China

3. University of Pennsylvania School of Medicine Philadelphia Philadelphia Pennsylvania USA

4. Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou China

Abstract

AbstractMicroRNAs (miRNAs) are relatively stable in blood, emerging as one of the most promising biomarkers in tumor liquid biopsy. Both total and extracellular vesicles (EVs) encapsulated miRNA have been studied for prognostic potential in a variety of cancers. Here, we systematically compared and verified the total and vesicle‐derived miRNA expression profiles from plasma samples in healthy controls and patients with esophageal squamous cell carcinoma (ESCC). In the present study, four miRNA species miR‐636, miR‐7641, miR‐28‐3p, and miR‐1246 that were differentially expressed in ESCC patients were chosen for further study. We first elucidated their essential function in ESCC progression and further explored their preliminary mechanism by identifying target proteins and involving signal pathways. Subsequently, the prognostic miRNA panels including miR‐636, miR‐7641, miR‐1246, and miR‐28‐3p for ESCC diagnosis were constructed and validated using different cohort. Our results showed that the panel including the above four miRNAs derived from plasma EVs was most effective in distinguishing tumor patients from normal subjects, while integrated plasma EVs‐derived miR‐1246, miR‐28‐3p and total plasma miRNAs miR‐636, miR‐7641 showed the best capability in predicting lymph node metastasis. In summary, our studies revealed that plasma EVs‐derived miRNAs could be emerged as promising biomarkers for ESCC diagnosis.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Biochemistry (medical),Genetics (clinical),Computer Science Applications,Drug Discovery,Genetics,Oncology,Immunology and Allergy

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