Literature DB >> 35141024

Analyzing large scale gene expression data in colorectal cancer reveals important clues; CLCA1 and SELENBP1 downregulated in CRC not in normal and not in adenoma.

Fariborz Asghari Alashti1,2, Bahram Goliaei1, Zarrin Minuchehr3.   

Abstract

Early detection of colorectal cancer (CRC) increases the chances of survival and reduces the therapeutic problems and costs of treatment. Since molecular biomarkers can help us diagnose colorectal cancer early, we need to identify novel gene for predicting the early stages of tumorigenesis. Here, we integrated five independent CRC gene expression datasets derived from expression profiling by array comparing CRC with normal samples in: GSE21510, GSE4107, GSE25071, GSE15781 dataset, and GSE8671 dataset, including 64 samples from 32 patients comparing 32 colonic normal mucosa with 32 colorectal adenoma. To detect genes that expressed differentially in experimental circumstances of these datasets, we used web tool of GEO2R to compare groups of samples in the GEO data series. Furthermore, we constructed the protein-protein interactions network by STRING database for mostly downregulated genes and the expression of their members in PPI network were studied into five datasets separately. Also, the level of expression of selected biomarker genes in different stages of CRC compared to normal was studied. Our data revealed 17 common downregulated genes (average fold change (FC) in five tests ≥6) in CRC in comparison with normal (Test 1 to Test 4) and in adenoma compared with normal (Test 5). Studying of gene expression of PPI network members of these downregulated genes led to identifying of CLCA1, SELENBP1, CWC25, ACOT11, GUCY2C and ALDH1A1 as suppressor genes and PTGS2, PROCR, MOCS3 and NFS1 as oncogenes which respectively downregulated and upregulated in CRC. Since decreasing of gene expression was seen in CRC comparing with normal and due to no different expression seen for these 10 genes in adenoma, they, especially CLCA1 and SELENBP1, could be considered as biomarkers for early detection of CRC. Before using these signature genes in the clinic; however, further validations are required. AJCR
Copyright © 2022.

Entities:  

Keywords:  Colorectal cancer; GEO datasets; STRING; biomarker; early detection; protein-protein interactions

Year:  2022        PMID: 35141024      PMCID: PMC8822279     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   6.166


  29 in total

1.  Expression of the Ca2+-activated chloride channel genes CLCA1 and CLCA2 is downregulated in human colorectal cancer.

Authors:  S A Bustin; S R Li; S Dorudi
Journal:  DNA Cell Biol       Date:  2001-06       Impact factor: 3.311

2.  Gene expression signature to improve prognosis prediction of stage II and III colorectal cancer.

Authors:  Ramon Salazar; Paul Roepman; Gabriel Capella; Victor Moreno; Iris Simon; Christa Dreezen; Adriana Lopez-Doriga; Cristina Santos; Corrie Marijnen; Johan Westerga; Sjoerd Bruin; David Kerr; Peter Kuppen; Cornelis van de Velde; Hans Morreau; Loes Van Velthuysen; Annuska M Glas; Laura J Van't Veer; Rob Tollenaar
Journal:  J Clin Oncol       Date:  2010-11-22       Impact factor: 44.544

3.  Suppression of human selenium-binding protein 1 is a late event in colorectal carcinogenesis and is associated with poor survival.

Authors:  Hyunki Kim; Hyun Ju Kang; Kwon Tae You; Se Hoon Kim; Kang Young Lee; Tae Il Kim; Chul Kim; Si Young Song; Hye-Jung Kim; Cheolju Lee; Hoguen Kim
Journal:  Proteomics       Date:  2006-06       Impact factor: 3.984

4.  Colorectal cancer statistics, 2017.

Authors:  Rebecca L Siegel; Kimberly D Miller; Stacey A Fedewa; Dennis J Ahnen; Reinier G S Meester; Afsaneh Barzi; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2017-03-01       Impact factor: 508.702

5.  A susceptibility gene set for early onset colorectal cancer that integrates diverse signaling pathways: implication for tumorigenesis.

Authors:  Yi Hong; Kok Sun Ho; Kong Weng Eu; Peh Yean Cheah
Journal:  Clin Cancer Res       Date:  2007-02-15       Impact factor: 12.531

6.  Transcriptome profile of human colorectal adenomas.

Authors:  Jacob Sabates-Bellver; Laurens G Van der Flier; Mariagrazia de Palo; Elisa Cattaneo; Caroline Maake; Hubert Rehrauer; Endre Laczko; Michal A Kurowski; Janusz M Bujnicki; Mirco Menigatti; Judith Luz; Teresa V Ranalli; Vito Gomes; Alfredo Pastorelli; Roberto Faggiani; Marcello Anti; Josef Jiricny; Hans Clevers; Giancarlo Marra
Journal:  Mol Cancer Res       Date:  2007-12       Impact factor: 5.852

7.  PTGS2 Over-Expression: A Colorectal Carcinoma Initiator not an Invasive Factor.

Authors:  Tahereh Zahedi; Abasalt Hosseinzadeh Colagar; Habibollah Mahmoodzadeh
Journal:  Rep Biochem Mol Biol       Date:  2021-01

8.  Loss of ZG16 is associated with molecular and clinicopathological phenotypes of colorectal cancer.

Authors:  Hui Meng; Wencai Li; Lisa A Boardman; Liang Wang
Journal:  BMC Cancer       Date:  2018-04-16       Impact factor: 4.430

9.  STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.

Authors:  Damian Szklarczyk; Annika L Gable; David Lyon; Alexander Junge; Stefan Wyder; Jaime Huerta-Cepas; Milan Simonovic; Nadezhda T Doncheva; John H Morris; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 10.  Guanylyl cyclase C signaling axis and colon cancer prevention.

Authors:  Amanda M Pattison; Dante J Merlino; Erik S Blomain; Scott A Waldman
Journal:  World J Gastroenterol       Date:  2016-09-28       Impact factor: 5.742

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