Evidence map›Paper›PMID 38073557›Full record

ArticleAnnals of surgery2024

Genetic Ancestry-specific Molecular and Survival Differences in Admixed Patients With Breast Cancer.

Aristeidis G Telonis, Daniel A Rodriguez, Philip M Spanheimer, Maria E Figueroa, Neha Goel

Abstract read
In one paragraph

Article in Annals of surgery, 2024. 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
–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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. An Analytic Pipeline to Obtain Reliable Genetic Ancestry Estimates from Tumor-Derived RNA Sequencing Data.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Response to: Comment on Genetic Ancestry-Specific Molecular and Survival Differences in Admixed Breast Cancer Patients.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Aristeidis G TelonisDepartment of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, FL.
Daniel A RodriguezSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL.
Philip M SpanheimerDepartment of Surgery and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
Maria E FigueroaDepartment of Biochemistry and Molecular Biology, University of Miami Miller School of Medicine, Miami, FL.
Neha GoelSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL.

Funding

Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHARLES M PEROU · 1992 to 2026
$59.3M
Tumor Biology Research ProgramP30CA240139 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Kerry L Burnstein · 2019 to 2026
$24.1M
UM Calabresi Clinical Oncology Research Career Development AwardK12CA226330 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Alan Pollack · 2018 to 2026
$5.1M
Cell cycle paths as a framework for understanding drug resistance in tumor cell subpopulationsR01CA280482 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Jeanette Gowen Cook, Michael James Emanuele · 2024 to 2026
$1.8M
Repurposing RET Inhibitors for Endocrine Resistant Breast CancerK08CA280388 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Philip M. Spanheimer · 2023 to 2026
$812k
Epigenetic deregulation and tumor progression due to the loss of a novel interaction between HDAC1 and BAP1 in uveal melanomaF31CA243426 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI RODRIGUEZ, DANIEL ALEXANDER · 2019 to 2021
$143k
NCI NIH HHS F31 CA243426NCI NIH HHS K08 CA280388NCI NIH HHS K12 CA226330NCI NIH HHS P30 CA240139NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA280482
6 · The paper itself

Abstract

objectiveWe aim to determine whether incremental changes in genetic ancestry percentages influence molecular and clinical outcome characteristics of breast cancer in an admixed population.

backgroundPatients with breast cancer are predominantly characterized as "Black" or "White" based on self-identified race/ethnicity or arbitrary genetic ancestry cutoffs. This limits scientific discovery in populations that are admixed or of mixed race/ethnicity as they cannot be classified based on historical race/ethnicity boxes or genetic ancestry cutoffs.

methodsWe used The Cancer Genome Atlas cohort and focused on genetically admixed patients that had less than 90% European, African, Asian, or Native American ancestry.

resultsGenetically admixed patients with breast cancer exhibited improved 10-year overall survival relative to those with >90% European ancestry. Within the luminal A subtype, patients with lower African ancestry had longer 10-year overall survival compared to those with higher African ancestry. The correlation of genetic ancestry with gene expression and DNA methylation in the admixed cohort revealed novel ancestry-specific intrinsic PAM50 subtype patterns. In luminal A tumors, genetic ancestry was correlated with both the expression and methylation of signaling genes, while in basal-like tumors, genetic ancestry was correlated with stemness genes. In addition, we took a machine-learning approach to estimate genetic ancestry from gene expression or DNA methylation and were able to accurately calculate ancestry values from a reduced set of 10 genes or 50 methylation sites that were specific for each molecular subtype.

conclusionsOur results suggest that incremental changes in genetic ancestry percentages result in ancestry-specific molecular differences even between well-established PAM50 subtypes which may influence disparities in breast cancer survival outcomes. Accounting for incremental changes in ancestry will be important in future research, prognostication, and risk stratification, particularly in ancestrally diverse populations.

Indexed as

Breast NeoplasmsEthnicityFemaleHumansRacial Groups

Identifiers

PMID38073557
PMCPMC11611248

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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.