Evidence map›Paper›PMID 39138508›Full record

ArticleGenome medicine2024

Association of genetic ancestry with molecular tumor profiles in colorectal cancer.

Brooke Rhead, David M Hein, Yannick Pouliot, Justin Guinney, Francisco M De La Vega, Nina N Sanford

Abstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. The Landscape of Genomic and Socioeconomic Variables in Patients with Colorectal Cancer Based on Genetic Ancestry.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Black-White disparities across the colorectal cancer care continuum in the USA.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  11. Predictive value of CT-based imaging model forTranslational cancer research · 2025
    Article
  12. Article
  13. Article
  14. Article
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

6 authors.

Brooke Rhead *Tempus AI, 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
David M Hein *Department of Radiation Oncology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
Yannick PouliotTempus AI, 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Justin GuinneyTempus AI, 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA.
Francisco M De La VegaTempus AI, 600 West Chicago Avenue, Suite 510, Chicago, IL, 60654, USA. francisco.delavega@stanford.edu.ORCID 0000-0002-9228-2097
Nina N SanfordDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA. nina.sanford@utsouthwestern.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are known disparities in incidence and outcomes of colorectal cancer (CRC) by race and ethnicity. Some of these disparities may be mediated by molecular changes in tumors that occur at different rates across populations. Genetic ancestry is a measure complementary to race and ethnicity that can overcome missing data issues and better capture genetic similarity in admixed populations. We aimed to identify somatic mutations and tumor gene expression differences associated with both genetic ancestry and imputed race and ethnicity.

methodsSequencing was performed with the Tempus xT NGS 648-gene panel and whole exome capture RNA-Seq for 8454 primarily late-stage CRC patients. Genetic ancestry proportions for five continental groups-Africa (AFR), American indigenous (AMR), East Asia (EAS), Europe (EUR), and South Asia (SAS)-were estimated using ancestry informative markers. To address data gaps, race and ethnicity categories were imputed, resulting in assignments for 952 Hispanic/Latino, 420 non-Hispanic (NH) Asian, 1061 NH Black, and 5763 NH White individuals. We assessed association of genetic ancestry proportions and imputed race and ethnicity categories with somatic mutations in relevant CRC genes and in 2608 expression profiles, as well as 1957 consensus molecular subtypes (CMS).

resultsIncreased AFR ancestry was associated with higher odds of somatic mutations in APC, KRAS, and PIK3CA and lower odds of BRAF mutations. Additionally, increased EAS ancestry was associated with lower odds of mutations in KRAS, EUR with higher odds in BRAF, and the Hispanic/Latino category with lower odds in BRAF. Greater AFR ancestry and the NH Black category were associated with higher rates of CMS3, while a higher proportion of Hispanic/Latino patients exhibited indeterminate CMS classifications.

conclusionsMolecular differences in CRC tumor mutation frequencies and gene expression that may underlie observed differences by race and ethnicity were identified. The association of AFR ancestry with increased KRAS mutations aligns with higher CMS3 subtype rates in NH Black patients. The increase of indeterminate CMS in Hispanic/Latino patients suggests that subtype classification methods could benefit from enhanced patient diversity.

Indexed as

Colorectal NeoplasmsMutationAdenomatous Polyposis Coli ProteinAgedBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesFemaleHumansMaleMiddle AgedProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Adenomatous Polyposis Coli ProteinAPC protein, humanBiomarkers, TumorBRAF protein, humanClass I Phosphatidylinositol 3-KinasesKRAS protein, humanPIK3CA protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)

Identifiers

PMID39138508
PMCPMC11321170

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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.