Literature DB >> 32215864

Differential expression of circulating serum miR-1249-3p, miR-3195, and miR-3692-3p in non-small cell lung cancer.

Sachin Kumar1, Surender K Sharawat2, Ashraf Ali3, Vikas Gaur2, Prabhat Singh Malik2, Monu Pandey2, Sunil Kumar4, Anant Mohan3, Randeep Guleria3.   

Abstract

Global deregulation in miRNA expression is a hallmark of cancer cell. An estimated 2300 mature miRNAs are encoded by human genome; role of many of which in carcinogenesis and as cancer biomarkers remains unexplored. In this study, we investigated the utility of miR-3692-3p, miR-3195, and miR-1249-3p as biomarkers in non-small cell lung cancer (NSCLC). For this prospective study, 115 subjects, including 75 NSCLC patients and 40 controls, were recruited. The expression of miR-3692-3p, miR-3195, and miR-1249-3p was checked using qRT-PCR. The miRNA expression was correlated with survival outcome and therapeutic response. There were no significant differences in the mean age of NSCLC patients and controls (56.2 and 55.3 years, respectively; p = 0.3242). Majority of NSCLC patients (67%) were smokers. We observed a significant upregulation of miR-3692-3p expression (p < 0.0001), while the expression of miR-3195 (p = 0.0017) and miR-1249-3p was significantly downregulated (p < 0.0001) in the serum of NSCLC patients as compared to controls. The expression of miR-1249-3p was significantly upregulated in lung adenocarcinoma versus lung squamous cell carcinoma (p = 0.0178). Interestingly, patients who responded to chemotherapy had higher expression of miR-1249-3p than non-responders (p = 0.0107). Moreover, patients with higher expression of miR-3195 had significantly longer overall survival (p = 0.0298). In multivariate analysis, miR-3195 emerged as independent prognostic factor for overall survival. We conclude that the miR-3195 may have prognostic significance, while miR-1249-3p may predict therapeutic response in NSCLC. Further studies are warranted to elucidate the role of these miRNAs in lung carcinogenesis and their utility as candidate cancer biomarkers.

Entities:  

Keywords:  Diagnosis; Lung cancer; MicroRNA; Prognosis; Survival

Mesh:

Substances:

Year:  2020        PMID: 32215864     DOI: 10.1007/s13577-020-00351-9

Source DB:  PubMed          Journal:  Hum Cell        ISSN: 0914-7470            Impact factor:   4.174


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