Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Human endogenous retrovirus env genes: Potential blood biomarkers in lung cancer

(2018) Human endogenous retrovirus env genes: Potential blood biomarkers in lung cancer. Microbial Pathogenesis. pp. 189-193. ISSN 0882-4010

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Abstract

Lung cancer, the leading cause of cancer mortality, needs urgent development of newly qualified diagnostic and therapeutic biomarkers. Recently, Human Endogenous Retroviruses (HERVs) have been introduced for cancer diagnosis. In this case-control study, we have collected blood samples from 60 lung cancer patients and 20 healthy controls. Quantitative gene expression analysis of various HERV env genes, including HERV-R, HERV-H, HERV-K, and HERV-P was performed by real-time PCR. Results indicate that expression of all four HERV env mRNAs is significantly increased in the blood of lung cancer patients than healthy controls (P-values < 0.01). Furthermore, we have observed a positive and significant pairwise correlation between the expressions of four HERV env genes. The level of HERV env transcript in the blood of adenocarcinoma patients was generally much higher than squamous cell carcinoma (SCC) and small-cell lung cancer (SCLC) patients. Also, the expression of three HERV P, HERV H, and HERV K in the blood of lung cancer patients could significantly differentiate between adenocarcinoma and other types of lung cancer. In conclusion, these four HERV families could be considered as promising non-invasive blood-based biomarkers for prognosis, early detection, and monitoring of lung cancer.

Item Type: Article
Keywords: Lung cancer HERV Biomarker Diagnosis Blood human tissues envelope proteins expression family identification primates smoking cells Immunology Microbiology
Divisions:
Page Range: pp. 189-193
Journal or Publication Title: Microbial Pathogenesis
Journal Index: ISI
Volume: 115
Identification Number: https://doi.org/10.1016/j.micpath.2017.12.040
ISSN: 0882-4010
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/3906

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