Evidence map›Paper›PMID 34217303›Full record

ArticleCancer cell international2021

Aberrantly methylated-differentially genes and pathways among Iranian patients with colorectal cancer.

Mahla Ghorbani, Marjan Azghandi, Mohammad Amin Kerachian

Abstract read
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Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Mahla Ghorbani *Department of Biology, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Marjan Azghandi *Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran.
Mohammad Amin KerachianCancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran. amin.kerachian@mail.mcgill.ca.ORCID http://orcid.org/0000-0001-5016-2882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethylation plays an important role in colorectal cancer (CRC) pathogenesis. The goal of this study was to identify aberrantly differentially methylated genes (DMGs) and pathways through bioinformatics analysis among Iranian CRC patients using Methylation Next Generation Sequencing.

methodsThis study has integrated results of SureSelectXT Methyl-Seq Target with the potential key candidate genes and pathways in CRC. Six CRC and six samples of normal colon were integrated and deeply analyzed. In addition to this gene methylation profiling, several other gene methylation profiling datasets were obtained from Gene Expression Omnibus (GEO) and TCGA datasets. DMGs were sorted and candidate genes and enrichment pathways were analyzed. DMGs-associated protein-protein interaction network (PPI) was constructed based on the STRING online database.

resultsTotally, 320 genes were detected as common genes between our patients and selected GEO and TCGA datasets from the Agilent SureSelect analysis with selecting criteria of p-value < 0.05 and FC ≥ 1.5. DMGs were identified from hyper-DMGs PPI network complex and 10 KEGG pathways were identified. The most important modules were extracted from MCODE, as most of the corresponding genes were involved in cellular process and protein binding.

conclusionsHub genes including WNT2, SFRP2, ZNF726 and BMP2 were suggested as potentially diagnostic and therapeutic targets for CRC.

Indexed as

Colon adenocarcinomaDiagnosticEpigeneticIn silicoMethylation

Identifiers

PMID34217303
PMCPMC8255023

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