Evidence mapPaperPMID 35560039Full record

ArticlePloS one2022

Consensus molecular subtype differences linking colon adenocarcinoma and obesity revealed by a cohort transcriptomic analysis.

Michael W Greene, Peter T Abraham, Peyton C Kuhlers, Elizabeth A Lipke, Martin J Heslin, Stanley T Wijaya, Ifeoluwa Odeniyi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Obesity-Associated Colorectal Cancer.International journal of molecular sciences · 2024
    Review
  6. 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

7 authors at 3 institutions in 1 country.

Michael W GreeneDepartment of Nutrition, Dietetics and Hospitality Management, Auburn University, Auburn, AL, United States of America.ORCID 0000-0002-6443-8269
Peter T AbrahamDepartment of Chemical Engineering, Auburn University, Auburn, AL, United States of America.
Peyton C KuhlersDepartment of Nutrition, Dietetics and Hospitality Management, Auburn University, Auburn, AL, United States of America.
Elizabeth A LipkeDepartment of Chemical Engineering, Auburn University, Auburn, AL, United States of America.ORCID 0000-0002-3465-5609
Martin J HeslinMitchell Cancer Institute, The University of South Alabama, Mobile, AL, United States of America.
Stanley T WijayaDepartment of Nutrition, Dietetics and Hospitality Management, Auburn University, Auburn, AL, United States of America.
Ifeoluwa OdeniyiDepartment of Nutrition, Dietetics and Hospitality Management, Auburn University, Auburn, AL, United States of America.
Auburn University · USUniversity of North Carolina at Chapel Hill · USUSA Mitchell Cancer Institute · US

Funding

NCATS NIH HHS UL1 TR003096
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third-leading cause of cancer-related deaths in the United States and worldwide. Obesity-a worldwide public health concern-is a known risk factor for cancer including CRC. However, the mechanisms underlying the link between CRC and obesity have yet to be fully elucidated in part because of the molecular heterogeneity of CRC. We hypothesized that obesity modulates CRC in a consensus molecular subtype (CMS)-dependent manner. RNA-seq data and associated tumor and patient characteristics including body weight and height data for 232 patients were obtained from The Cancer Genomic Atlas-Colon Adenocarcinoma (TCGA-COAD) database. Tumor samples were classified into the four CMSs with the CMScaller R package; body mass index (BMI) was calculated and categorized as normal, overweight, and obese. We observed a significant difference in CMS categorization between BMI categories. Differentially expressed genes (DEGs) between obese and overweight samples and normal samples differed across the CMSs, and associated prognostic analyses indicated that the DEGs had differing associations on survival. Using Gene Set Enrichment Analysis, we found differences in Hallmark gene set enrichment between obese and overweight samples and normal samples across the CMSs. We constructed Protein-Protein Interaction networks and observed differences in obesity-regulated hub genes for each CMS. Finally, we analyzed and found differences in predicted drug sensitivity between obese and overweight samples and normal samples across the CMSs. Our findings support that obesity impacts the CRC tumor transcriptome in a CMS-specific manner. The possible associations reported here are preliminary and will require validation using in vitro and animal models to examine the CMS-dependence of the genes and pathways. Once validated the obesity-linked genes and pathways may represent new therapeutic targets to treat colon cancer in a CMS-dependent manner.

Indexed as

AdenocarcinomaColonic NeoplasmsColorectal NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansObesityOverweightPrognosisTranscriptomeBiomarkers, Tumor

Identifiers

PMID35560039
PMCPMC9106217
OpenAlexW4280540631

What Socratic holds

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Registered trials

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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 Socratic graph.