Literature DB >> 23992855

Microsatellite instability status affects gene expression profiles in early onset colorectal cancer patients.

Secil Ak1, Berrin Tunca, Tuncay Yilmazlar, Gulcin Tezcan, Gulsah Cecener, Unal Egeli, Ersin Ozturk, Omer Yerci, Elif Ertürk, Abdullah Zorluoglu.   

Abstract

BACKGROUND: The association between microsatellite instability (MSI) status and gene expression profiles in the early onset sporadic colorectal cancer (CRC) has not been clearly established. The aim of this study was to identify the altered gene expression patterns depending on the MSI status of early onset CRC and determine specific biomarkers that could provide novel therapeutic molecular targets in the Turkish population.
MATERIALS AND METHODS: MSI markers (BAT25, BAT26, D2S123, D5S346, and D17S250) were investigated in tumors from 36 early onset sporadic CRC patients in whom gene expression profiles were analyzed previously. The relationship between the gene expression profiles depending on MSI status was evaluated.
RESULTS: A total of 15 tumors (16.66%) were identified as having MSI and 21 tumors (58.33%) were identified as having microsatellite stability (MSS). CK20 and MAP3K8 upregulation, observed in MSS tumors, was significantly associated with lymph node metastasis, recurrence, and/or distant metastasis and a short median survival (P < 0.05). REG1A upregulation is also correlated with recurrence and/or distant metastasis and a short median survival in patients with MSI tumors (P < 0.05).
CONCLUSIONS: High expression levels of CK20 and MAP3K8 in MSS tumors and REG1A in MSI tumors correlated with a poor prognosis in CRC patients. Further studies and validations are required; these genes may provide novel therapeutic molecular targets for the development of anticancer drugs related to MSI status for early onset CRC treatment.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CK20; Colorectal cancer; Early onset; MAP3K8; MSI; MSS; REG1A

Mesh:

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Year:  2013        PMID: 23992855     DOI: 10.1016/j.jss.2013.07.014

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  3 in total

1.  Identifying the tumor location-associated candidate genes in development of new drugs for colorectal cancer using machine-learning-based approach.

Authors:  Tuncay Bayrak; Zafer Çetin; E İlker Saygılı; Hasan Ogul
Journal:  Med Biol Eng Comput       Date:  2022-08-10       Impact factor: 3.079

Review 2.  Molecular approach to genetic and epigenetic pathogenesis of early-onset colorectal cancer.

Authors:  Gulcin Tezcan; Berrin Tunca; Secil Ak; Gulsah Cecener; Unal Egeli
Journal:  World J Gastrointest Oncol       Date:  2016-01-15

3.  Bacterially-Associated Transcriptional Remodelling in a Distinct Genomic Subtype of Colorectal Cancer Provides a Plausible Molecular Basis for Disease Development.

Authors:  Katie S Lennard; Ryan W Goosen; Jonathan M Blackburn
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

  3 in total

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