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Title: | Gene expression analysis of RCC1, VAV2, RPA3, and SRPK1 for human cervical cancer biomarkers |
Authors: | Paitoon Aobchey Kraikrit Utama Hataichanoke Niamsup Padchanee Sangthong |
Authors: | Paitoon Aobchey Kraikrit Utama Hataichanoke Niamsup Padchanee Sangthong |
Keywords: | Biochemistry, Genetics and Molecular Biology |
Issue Date: | 1-Mar-2022 |
Abstract: | Cervical cancer is the most common cancer in women worldwide, with developing countries accounting for 80% of the disease burden. Infection with a high-risk group of human papilloma viruses (HPVs) is caused mainly by carcinogenesis of cervical cancer. Although, active diagnosis has been improved treatment efficacy in reducing the incidence and mortality rate. Cervical cancer is generally classified into four histopathological subtypes; adenocarcinoma, squamous cell carcinoma, papilloma and carcinoma. In this study, the gene expression profiles of these four subtypes in cervical cancer cell lines were compared to normal cervical tissue using quantitative real-time PCR (qPCR). Sixty-one genes from public DNA microarray data were selected. The expression of 30 candidate genes including a housekeeping gene, GAPDH, were quantified with qPCR in HeLa, SiHa, C-4 I and SW756 cell lines showing more than 1.5-fold difference in their expression. VAV2 gene was found to overexpress in Adenocarcinoma (HeLa), Squamous cell carcinoma (SiHa) and Carcinoma (SW756) and RCC1 gene was overexpressed in papilloma (C-4 I) of cervical cell lines. Based on their upregulation level, VAV2 gene was identified as a candidate marker for adenocarcinoma, squamous cell carcinoma, and carcinoma while RCC1 gene was promising as a candidate marker for papilloma subtype of cervical cancer. In addition, of RCC1, VAV2, RPA3, and SRPK1 were potential gene candidates for cervical cancer markers. The candidate biomarkers may useful for screening and diagnosis. |
URI: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120412195&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/72547 |
ISSN: | 24520144 |
Appears in Collections: | CMUL: Journal Articles |
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