Literature DB >> 33648461

ETV4 plays a role on the primary events during the adenoma-adenocarcinoma progression in colorectal cancer.

Aline Simoneti Fonseca1,2,3,4, Anelisa Ramão5,6, Matheus Carvalho Bürger6, Jorge Estefano Santana de Souza6, Dalila Lucíola Zanette5,6,7,8, Greice Andreotti de Molfetta5,6,7, Luiza Ferreira de Araújo5,6,7, Rafaela de Barros E Lima Bueno5,6, Graziela Moura Aguiar6, Jessica Rodrigues Plaça6, Cleidson de Pádua Alves6, Anemari Ramos Dinarte Dos Santos6, Daniel Onofre Vidal6, Gyl Eanes Barros Silva9, Rodrigo Alexandre Panepucci6, Fernanda Maris Peria10, Omar Feres11, José Joaquim Ribeiro da Rocha11, Marco Antonio Zago6, Wilson Araújo Silva12,13,14.   

Abstract

BACKGROUND: Colorectal cancer (CRC) is one of the most common cancers worldwide; it is the fourth leading cause of death in the world and the third in Brazil. Mutations in the APC, DCC, KRAS and TP53 genes have been associated with the progression of sporadic CRC, occurring at defined pathological stages of the tumor progression and consequently modulating several genes in the corresponding signaling pathways. Therefore, the identification of gene signatures that occur at each stage during the CRC progression is critical and can present an impact on the diagnosis and prognosis of the patient. In this study, our main goal was to determine these signatures, by evaluating the gene expression of paired colorectal adenoma and adenocarcinoma samples to identify novel genetic markers in association to the adenoma-adenocarcinoma stage transition.
METHODS: Ten paired adenoma and adenocarcinoma colorectal samples were subjected to microarray gene expression analysis. In addition, mutations in APC, KRAS and TP53 genes were investigated by DNA sequencing in paired samples of adenoma, adenocarcinoma, normal tissue, and peripheral blood from ten patients.
RESULTS: Gene expression analysis revealed a signature of 689 differentially expressed genes (DEG) (fold-change> 2, p< 0.05), between the adenoma and adenocarcinoma paired samples analyzed. Gene pathway analysis using the 689 DEG identified important cancer pathways such as remodeling of the extracellular matrix and epithelial-mesenchymal transition. Among these DEG, the ETV4 stood out as one of the most expressed in the adenocarcinoma samples, further confirmed in the adenocarcinoma set of samples from the TCGA database. Subsequent in vitro siRNA assays against ETV4 resulted in the decrease of cell proliferation, colony formation and cell migration in the HT29 and SW480 colorectal cell lines. DNA sequencing analysis revealed KRAS and TP53 gene pathogenic mutations, exclusively in the adenocarcinomas samples.
CONCLUSION: Our study identified a set of genes with high potential to be used as biomarkers in CRC, with a special emphasis on the ETV4 gene, which demonstrated involvement in proliferation and migration.

Entities:  

Keywords:  Adenocarcinoma; Adenoma; Colorectal; ETV4; Genetic markers

Mesh:

Substances:

Year:  2021        PMID: 33648461      PMCID: PMC7919324          DOI: 10.1186/s12885-021-07857-x

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


  61 in total

1.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias.

Authors:  B M Bolstad; R A Irizarry; M Astrand; T P Speed
Journal:  Bioinformatics       Date:  2003-01-22       Impact factor: 6.937

2.  Defensin alpha 6 (DEFA6) is a prognostic marker in colorectal cancer.

Authors:  Dongjun Jeong; Hyeongjoo Kim; Doyeon Kim; Seona Ban; Seunghyun Oh; Sanghee Ji; DongHyun Kang; Hyunyong Lee; Tae Sung Ahn; Han Jo Kim; Sang Byung Bae; Moon Soo Lee; Chang-Jin Kim; Hyog Young Kwon; Moo-Jun Baek
Journal:  Cancer Biomark       Date:  2019       Impact factor: 4.388

3.  Synergistic efficacy of Cullin1 and MMP-2 expressions in diagnosis and prognosis of colorectal cancer.

Authors:  Jianliang Deng; Wenjiao Chen; Yuan Du; Weiming Wang; Guoqiang Zhang; Yuehua Tang; Zhangjun Qian; Ping Xu; Zhihong Cao; Yan Zhou
Journal:  Cancer Biomark       Date:  2017       Impact factor: 4.388

4.  MutationTaster2: mutation prediction for the deep-sequencing age.

Authors:  Jana Marie Schwarz; David N Cooper; Markus Schuelke; Dominik Seelow
Journal:  Nat Methods       Date:  2014-04       Impact factor: 28.547

5.  ETV4 promotes metastasis in response to activation of PI3-kinase and Ras signaling in a mouse model of advanced prostate cancer.

Authors:  Alvaro Aytes; Antonina Mitrofanova; Carolyn Waugh Kinkade; Celine Lefebvre; Ming Lei; Vanessa Phelan; H Carl LeKaye; Jason A Koutcher; Robert D Cardiff; Andrea Califano; Michael M Shen; Cory Abate-Shen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-05       Impact factor: 11.205

6.  arrayQualityMetrics--a bioconductor package for quality assessment of microarray data.

Authors:  Audrey Kauffmann; Robert Gentleman; Wolfgang Huber
Journal:  Bioinformatics       Date:  2008-12-23       Impact factor: 6.937

7.  NT5E and FcGBP as key regulators of TGF-1-induced epithelial-mesenchymal transition (EMT) are associated with tumor progression and survival of patients with gallbladder cancer.

Authors:  Li Xiong; Yu Wen; Xiongying Miao; Zhulin Yang
Journal:  Cell Tissue Res       Date:  2013-12-06       Impact factor: 5.249

8.  MMP-11 promoted the oral cancer migration and Fak/Src activation.

Authors:  Chung-Han Hsin; Ying-Erh Chou; Shun-Fa Yang; Shih-Chi Su; Yi-Ting Chuang; Shu-Hui Lin; Chiao-Wen Lin
Journal:  Oncotarget       Date:  2017-05-16

9.  Bioinformatics Analysis Reveals Most Prominent Gene Candidates to Distinguish Colorectal Adenoma from Adenocarcinoma.

Authors:  Nina Hauptman; Emanuela Boštjančič; Margareta Žlajpah; Branislava Ranković; Nina Zidar
Journal:  Biomed Res Int       Date:  2018-08-06       Impact factor: 3.411

10.  L1TD1 - a prognostic marker for colon cancer.

Authors:  Deepankar Chakroborty; Maheswara Reddy Emani; Riku Klén; Camilla Böckelman; Jaana Hagström; Caj Haglund; Ari Ristimäki; Riitta Lahesmaa; Laura L Elo
Journal:  BMC Cancer       Date:  2019-07-23       Impact factor: 4.430

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  1 in total

1.  Exploration of the Key Proteins of High-Grade Intraepithelial Neoplasia to Adenocarcinoma Sequence Using In-Depth Quantitative Proteomics Analysis.

Authors:  Yin Zhang; Chun-Yuan Li; Meng Pan; Jing-Ying Li; Wei Ge; Lai Xu; Yi Xiao
Journal:  J Oncol       Date:  2021-11-29       Impact factor: 4.375

  1 in total

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