Evidence map›Paper›PMID 24743346›Full record

ArticlePloS one2014

Identification of gene expression changes from colitis to CRC in the mouse CAC model.

Xin Li, Yuyan Gao, Ming Yang, Qi Zhao, Guangyu Wang, Yan Mei Yang, Yue Yang, Hui Liu, Yanqiao Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Mapping hyper-susceptibility to colitis-associated colorectal cancer in FVB/NJ mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2016
    Article
  10. Article
  11. Colitis-associated colon cancer: Is it in your genes?World journal of gastroenterology · 2015
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Xin LiDepartment of Gastrointestinal Medical Oncology, The Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China; Department of Respiratory Medical Oncology, The Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yuyan GaoDepartment of Radiation Oncology, The Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Ming YangDepartment of Gastrointestinal Medical Oncology, The Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Qi ZhaoDepartment of Gastrointestinal Medical Oncology, The Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Guangyu WangDepartment of Gastrointestinal Medical Oncology, The Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yan Mei YangCancer Research Institute, Harbin Medical University, Harbin, Heilongjiang, China.
Yue YangCancer Research Institute, Harbin Medical University, Harbin, Heilongjiang, China.
Hui LiuSchool of Life Science and Technology, State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.
Yanqiao ZhangDepartment of Gastrointestinal Medical Oncology, The Third Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CNHarbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A connection between colorectal carcinogenesis and inflammation is well known, but the underlying molecular mechanisms have not been elucidated. Chemically induced colitis-associated cancer (CAC) is an outstanding mouse model for studying the link between inflammation and cancer. Additionally, the CAC model is used for examining novel diagnostic, prognostic, and predictive markers for use in clinical practice. Here, a CAC model was established in less than 100 days using azoxymethane (AOM) with dextran sulfate sodium salt (DSS) in BALB/c mice. We examined the mRNA expression profiles of three groups: control untreated mice (K), DSS-induced chronic colitis mice (D), and AOM/DSS-induced CAC (AD) mice. We identified 6301 differentially expressed genes (DEGs) among the three groups, including 93 persistently upregulated genes and 139 persistently downregulated genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that the most persistent DEGs were significantly enriched in metabolic or inflammatory components in the tumor microenvironment. Furthermore, several associated DEGs were identified as potential DEGs by protein-protein interaction (PPI) network analysis. We selected 14 key genes from the DEGs and potential DEGs for further quantitative real-time PCR (qPCR) verification. Six persistently upregulated, 3 persistently downregulated DEGs, and the other 3 genes showed results consistent with the microarray data. We demonstrated the regulation of 12 key genes specifically involved in Wnt signaling, cytokine and cytokine receptor interactions, homeostasis, and tumor-associated metabolism during colitis-associated CRC. Our results suggest that a close relationship between metabolic and inflammatory mediators of the tumor microenvironment is present in CAC.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsAzoxymethaneColitisColorectal NeoplasmsDextran SulfateDisease Models, AnimalFemaleGenome-Wide Association StudyMiceMice, Inbred BALB CProtein BindingAzoxymethaneDextran Sulfate

Identifiers

PMID24743346
PMCPMC3990644
OpenAlexW2025110817

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.