Literature DB >> 35070410

Analysis of dynamic molecular networks: the progression from colorectal adenoma to cancer.

Yuchen Jiang1, Feifeng Song1, Xiaoping Hu1, Dandan Guo1, Yujia Liu1, Jiafeng Wang2, Liehao Jiang2, Ping Huang1,2, Yiwen Zhang1,2.   

Abstract

BACKGROUND: Colorectal cancer (CRC) is one of the deadliest cancers worldwide. It is the fourth most deadly cancer in the world with nearly 900,000 people die every year, the progression of polyps into cancer as one of its most common developmental pathways.
METHODS: This study obtained gene chip data collections from the Gene Expression Omnibus for colorectal adenoma (GSE8671) and colorectal cancer (GSE32323). Differentially expressed genes (DEGs) in normal tissue and different stages of CRC were analyzed for clustering, comparison, and visualization using R software. The Cytoscape plugin DyNetViewer was used to construct a dynamic protein-protein interaction network. Subsequently, through the Database for Annotation, Visualization and Integrated Discovery, the DEGs were functionally annotated and path enriched.
RESULTS: Our study found that the matrix metalloprotein family and chemokines were the key regulatory genes that drove CRC progression. The Wnt signaling pathway, chemokine signaling pathway, and CRC pathway were the pathological pathways for CRC. Maintenance played an important role in this process. In addition, the related nodes and pathways at various stages may be potential mechanisms for promoting dynamic CRC progression.
CONCLUSIONS: Our study provides a better understanding of the dynamic pattern of molecular interaction networks during CRC progression and provides relevant markers for more accurate screening of cancer in polyps. 2021 Journal of Gastrointestinal Oncology. All rights reserved.

Entities:  

Keywords:  Bioinformatics; colorectal cancer (CRC); dynamic molecular network; polyps; screening

Year:  2021        PMID: 35070410      PMCID: PMC8748073          DOI: 10.21037/jgo-21-674

Source DB:  PubMed          Journal:  J Gastrointest Oncol        ISSN: 2078-6891


  48 in total

1.  affy--analysis of Affymetrix GeneChip data at the probe level.

Authors:  Laurent Gautier; Leslie Cope; Benjamin M Bolstad; Rafael A Irizarry
Journal:  Bioinformatics       Date:  2004-02-12       Impact factor: 6.937

2.  Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.

Authors:  Linbo Chen; Dewen Lu; Keke Sun; Yuemei Xu; Pingping Hu; Xianpeng Li; Feng Xu
Journal:  Gene       Date:  2019-01-14       Impact factor: 3.688

3.  Identification of Genes Related to Clinicopathological Characteristics and Prognosis of Patients with Colorectal Cancer.

Authors:  Xueren Gao; Jiaojiao Yang
Journal:  DNA Cell Biol       Date:  2020-02-06       Impact factor: 3.311

4.  DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization.

Authors:  Min Li; Jie Yang; Fang-Xiang Wu; Yi Pan; Jianxin Wang
Journal:  Bioinformatics       Date:  2018-05-01       Impact factor: 6.937

Review 5.  Toll and Toll-like receptor signalling in development.

Authors:  Niki Anthoney; Istvan Foldi; Alicia Hidalgo
Journal:  Development       Date:  2018-04-25       Impact factor: 6.868

Review 6.  Dynamic genome and transcriptional network-based biomarkers and drugs: precision in breast cancer therapy.

Authors:  Ioannis D Kyrochristos; Demosthenes E Ziogas; Dimitrios H Roukos
Journal:  Med Res Rev       Date:  2018-11-11       Impact factor: 12.944

Review 7.  Global burden of colorectal cancer: emerging trends, risk factors and prevention strategies.

Authors:  NaNa Keum; Edward Giovannucci
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2019-08-27       Impact factor: 46.802

8.  Phase 1 Dose Escalation Study of MEDI-565, a Bispecific T-Cell Engager that Targets Human Carcinoembryonic Antigen, in Patients With Advanced Gastrointestinal Adenocarcinomas.

Authors:  Michael Pishvaian; Michael A Morse; Jennifer McDevitt; Jonathan D Norton; Song Ren; Gabriel J Robbie; Patricia C Ryan; Serguei Soukharev; Haifeng Bao; Crystal S Denlinger
Journal:  Clin Colorectal Cancer       Date:  2016-08-04       Impact factor: 4.481

Review 9.  Tumor angiogenesis: causes, consequences, challenges and opportunities.

Authors:  Roberta Lugano; Mohanraj Ramachandran; Anna Dimberg
Journal:  Cell Mol Life Sci       Date:  2019-11-06       Impact factor: 9.261

10.  CCL19 suppresses angiogenesis through promoting miR-206 and inhibiting Met/ERK/Elk-1/HIF-1α/VEGF-A pathway in colorectal cancer.

Authors:  Zhuoqing Xu; Congcong Zhu; Chun Chen; Yaping Zong; Hao Feng; Di Liu; Wenqing Feng; Jingkun Zhao; Aiguo Lu
Journal:  Cell Death Dis       Date:  2018-09-24       Impact factor: 8.469

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