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Comprehensive transcriptome analysis identifies pathways with therapeutic potential in locally advanced cervical cancer.

Authors :
Campos-Parra AD
Padua-Bracho A
Pedroza-Torres A
Figueroa-González G
Fernández-Retana J
Millan-Catalan O
Peralta-Zaragoza O
Cantú de León D
Herrera LA
Pérez-Plasencia C
Source :
Gynecologic oncology [Gynecol Oncol] 2016 Nov; Vol. 143 (2), pp. 406-413. Date of Electronic Publication: 2016 Aug 28.
Publication Year :
2016

Abstract

Objective: The objective of the present study was to provide genomic and transcriptomic information that may improve clinical outcomes for locally advanced cervical cancer (LACC) patients by searching for therapeutic targets or potential biomarkers through the analysis of significantly altered signaling pathways in LACC.<br />Methods: Microarray-based transcriptome profiling of 89 tumor samples from women with LACC was performed. Through Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, significantly over-expressed genes in LACC were identified; these genes were validated by quantitative reverse transcription-polymerase chain reaction in an independent cohort, and the protein expression data were obtained from the Human Protein Atlas.<br />Results: A transcriptome analysis revealed 7530 significantly over-expressed genes in LACC samples. By KEGG analysis, we found 93 dysregulated signaling pathways, including the JAK-STAT, NOTCH and mTOR-autophagy pathways, which were significantly upregulated. We confirmed the overexpression of the relevant genes of each pathway, such as NOTCH1, JAK2, STAM1, SOS1, ADAM17, PSEN1, NCSTN, RPS6, STK11/LKB1 and MLTS8/GBL in LACC compared with normal cervical tissue epithelia.<br />Conclusions: Through comprehensive genomic and transcriptomic analyses, this work provides information regarding signaling pathways with promising therapeutic targets, suggesting novel target therapies to be considered in future clinical trials for LACC patients.<br /> (Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1095-6859
Volume :
143
Issue :
2
Database :
MEDLINE
Journal :
Gynecologic oncology
Publication Type :
Academic Journal
Accession number :
27581326
Full Text :
https://doi.org/10.1016/j.ygyno.2016.08.327