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The KISS1 gene overexpression as a potential molecular marker for cervical cancer cells
- Source :
- Cancer Biomarkers. 22:709-719
- Publication Year :
- 2018
- Publisher :
- IOS Press, 2018.
-
Abstract
- Background Similarities between the pathologic progression of cancer and the physiologic process of placentation have been recognized for many years proposing that both present similar mechanisms and processes. Cervical cancer (CC) is one of the most frequent neoplasia among Mexican women turning it into an important health problem. Objective The aim of this study was to determine the degree of the involvement of pregnancy related genes and in cancer progression by in-silico analysis and validated in CC samples. Results The data mining analysis resulted in the identification of genes expressed in term placenta, first trimester placenta and normal cervical tissues. Finally, we selected KISS1 for the involvement of pregnancy related gene and also in cancer process. In order to explore KISS1 in CC, we analyzed Copy Number Variation (CNV) and gene expression using microarray experiments. KISS1 showed 20% genomic gain in 1q32.1 on CC samples. Furthermore, microarray analysis showed KISS1 as up-regulated genes. Results were validated showing an overexpression of 85% of KISS1 in CC samples. Conclusions Data suggest KISS1 as a great candidate for CC molecular markers or as a therapeutic target for CC. Also, HPV presence does not seem to alter the KISS1 expression in CC.
- Subjects :
- Adult
0301 basic medicine
Cancer Research
Adolescent
DNA Copy Number Variations
Microarray
Uterine Cervical Neoplasms
Biology
03 medical and health sciences
0302 clinical medicine
Cell Line, Tumor
Biomarkers, Tumor
Genetics
medicine
KISS1 Gene
Data Mining
Humans
Copy-number variation
Mexico
Gene
Cervical cancer
Kisspeptins
Microarray analysis techniques
Papillomavirus Infections
Placentation
Cancer
General Medicine
Middle Aged
medicine.disease
Gene Expression Regulation, Neoplastic
030104 developmental biology
Oncology
030220 oncology & carcinogenesis
Disease Progression
Cancer research
Female
Transcriptome
Subjects
Details
- ISSN :
- 18758592 and 15740153
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Cancer Biomarkers
- Accession number :
- edsair.doi.dedup.....552fe020f9e5c897d04bc3e629553857