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Novel insights into transcriptional dysregulation in colorectal cancer

 Yana Feodorova, Desislava Tashkova, Ilian Koev, Anton Todorov, Gancho Kostov, Kiril Simitchiev, Vesselin Belovejdov, Rossen Dimov, Victoria Sarafian

Abstract:

Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide. Although CRC has been comprehensively characterized at the molecular level, the tumor heterogeneity hinders the identification of reliable diagnostic, prognostic and predictive biomarkers. Molecular stratification of CRC is based on prevalent gene mutations and transcription profiles but its significance for clinical practice remains obscure. Indeed, activating mutations in the genes KRAS, NRAS and BRAF are the only predictive biomarkers for anti-EGFR antibody therapy routinely tested the clinic for advanced stages of CRC. Gene expression signatures are important for clarifying the molecular mechanisms of CRC development and progression, but only two such tests for predicting recurrence risk are commercially available. The aim of our study was to propose a diagnostic approach based on mutation and gene expression analysis that can be routinely applied in the clinic for defining the most appropriate treatment strategy for each patient. We used qPCR to determine the presence of KRAS mutations and measure the transcription levels of a panel of 26 genes in 24 CRC patients. Statistical analyses were applied to check for associations between clinico-pathological and molecular parameters. Our results reveal novel data concerning CRC carcinogenesis: almost universal downregulation of EGFR; differential role of the pro-inflammatory cytokines TNF-α and IL-6; overexpression of the vitamin B12 transporter transcobalamin 1; tumor-suppressor function of SETD2, CA7 and GUCA2B. The practical application of these findings has yet to be clarified.

Received date: 07/07/2017

Accepted date: 09/13/2017

Ahead of print publish date: 05/16/2018

Issue: 3/2018

Volume: 65

Pages: 415 — 424

Keywords: CRC, gene expression, GUCA2B, KRAS

Supplementary files:
Figure S1 - TE.tif

DOI: 10.4149/neo_2018_170707N467

Pubmed

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