Evidence map›Paper›PMID 39580376›Full record

ArticleAnnals of surgical oncology2025

Stage-Specific Tumoral Gene Expression Profiles of Black and White Patients with Colon Cancer.

Mohamad El Moheb, Chengli Shen, Susan Kim, Kristin Putman, Hongji Zhang, Samantha M Ruff, Russell Witt, Allan Tsung

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mohamad El MohebSchool of Data Science, University of Virginia, Charlottesville, VA, USA.
Chengli ShenDepartment of Surgery, University of Virginia, Charlottesville, VA, USA.
Susan KimDepartment of Surgery, University of Virginia, Charlottesville, VA, USA.
Kristin PutmanDepartment of Surgery, University of Virginia, Charlottesville, VA, USA.
Hongji ZhangDepartment of Surgery, University of Virginia, Charlottesville, VA, USA.
Samantha M RuffDepartment of Surgery, University of Virginia, Charlottesville, VA, USA.
Russell WittDepartment of Surgery, University of Virginia, Charlottesville, VA, USA.
Allan TsungDepartment of Surgery, University of Virginia, Charlottesville, VA, USA. crf9aa@uvahealth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBlack patients with colon cancer (CC) exhibit more aggressive tumor biology and higher treatment resistance than white patients, even after adjusting for clinical and demographic factors. We investigated stage-specific transcriptional differences in tumor profiles of Black and white patients with CC. PATIENTS AND

methodsPatients with CC from The Cancer Genome Atlas Colon Adenocarcinoma database were categorized by disease stage and propensity-score matched between Black and white patients. Differential gene expression and pathway enrichment analyses were performed for each stage. Logistic regression and quadratic discriminant analysis (QDA) models were developed using consistently differentially expressed genes.

resultsOf 247 patients, 128 had localized (22% Black), 81 had regional (74% Black), and 38 had distant disease (29% Black). Differential expression analysis revealed differences in 312 genes for localized, 105 for regional, and 199 for distant stages between Black and white patients. Pathway enrichment analysis showed downregulation of the IL-17 pathway in Black patients with localized disease. In total, five genes exhibited race-specific transcriptional differences across all stages: RAMACL, POLR2J3, POLR2J2, MUC16, and PRSS21. Logistic regression and QDA model performance indicated that these genes represent racial differences [area under the receiver operating characteristic curve (AUC): 0.863 and 0.880].

conclusionsSignificant transcriptional differences exist in CC between Black and white patients changing dynamically across disease stages, and involving genes with broad functions. Key findings include IL-17 pathway downregulation in Black patients with localized disease and a five-gene signature consistent across all stages. These findings may explain aspects of racial disparities in CC, emphasizing the need for race-specific research and treatment strategies.

Indexed as

Biomarkers, TumorColonic NeoplasmsTranscriptomeAdenocarcinomaAgedBlack or African AmericanFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm StagingPrognosisWhiteBiomarkers, Tumor

Identifiers

PMID39580376
PMCPMC11698818

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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 OpenQuestion graph.