Evidence map›Paper›PMID 37231433›Full record

ArticleBreast cancer research : BCR2023

Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African ancestry patient populations.

Minoru Miyashita, Joshua S K Bell, Stephane Wenric, Ezgi Karaesmen, Brooke Rhead, Matthew Kase, Kristiyana Kaneva, Francisco M De La Vega, Yonglan Zheng, Toshio F Yoshimatsu and 9 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  13. Association ofmedRxiv : the preprint server for health sciences · 2023
    Article
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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

19 authors.

Minoru Miyashita *The University of Chicago, Chicago, IL, USA.
Joshua S K Bell *Tempus Inc, Chicago, IL, USA.
Stephane WenricTempus Inc, Chicago, IL, USA.
Ezgi KaraesmenTempus Inc, Chicago, IL, USA.
Brooke RheadTempus Inc, Chicago, IL, USA.
Matthew KaseTempus Inc, Chicago, IL, USA.
Kristiyana KanevaTempus Inc, Chicago, IL, USA.
Francisco M De La VegaTempus Inc, Chicago, IL, USA.
Yonglan ZhengThe University of Chicago, Chicago, IL, USA.
Toshio F YoshimatsuThe University of Chicago, Chicago, IL, USA.
Galina KhramtsovaThe University of Chicago, Chicago, IL, USA.
Fang LiuThe University of Chicago, Chicago, IL, USA.
Fangyuan ZhaoThe University of Chicago, Chicago, IL, USA.
Frederick M HowardThe University of Chicago, Chicago, IL, USA.
Rita NandaThe University of Chicago, Chicago, IL, USA.
Nike BeaubierTempus Inc, Chicago, IL, USA.
Kevin P WhiteTempus Inc, Chicago, IL, USA.
Dezheng HuoThe University of Chicago, Chicago, IL, USA.
Olufunmilayo I OlopadeThe University of Chicago, Chicago, IL, USA. folopade@bsd.uchicago.edu.

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

backgroundEndocrine-resistant HR+/HER2- breast cancer (BC) and triple-negative BC (TNBC) are of interest for molecularly informed treatment due to their aggressive natures and limited treatment profiles. Patients of African Ancestry (AA) experience higher rates of TNBC and mortality than European Ancestry (EA) patients, despite lower overall BC incidence. Here, we compare the molecular landscapes of AA and EA patients with HR+/HER2- BC and TNBC in a real-world cohort to promote equity in precision oncology by illuminating the heterogeneity of potentially druggable genomic and transcriptomic pathways.

methodsDe-identified records from patients with TNBC or HR+/HER2- BC in the Tempus Database were randomly selected (N = 5000), with most having stage IV disease. Mutations, gene expression, and transcriptional signatures were evaluated from next-generation sequencing data. Genetic ancestry was estimated from DNA-seq. Differences in mutational prevalence, gene expression, and transcriptional signatures between AA and EA were compared. EA patients were used as the reference population for log fold-changes (logFC) in expression.

resultsAfter applying inclusion criteria, 3433 samples were evaluated (n = 623 AA and n = 2810 EA). Observed patterns of dysregulated pathways demonstrated significant heterogeneity among the two groups. Notably, PIK3CA mutations were significantly lower in AA HR+/HER2- tumors (AA = 34% vs. EA = 42%, P < 0.05) and the overall cohort (AA = 28% vs. EA = 37%, P = 2.08e-05). Conversely, KMT2C mutation was significantly more frequent in AA than EA TNBC (23% vs. 12%, P < 0.05) and HR+/HER2- (24% vs. 15%, P = 3e-03) tumors. Across all subtypes and stages, over 8000 genes were differentially expressed between the two ancestral groups including RPL10 (logFC = 2.26, P = 1.70e-162), HSPA1A (logFC = - 2.73, P = 2.43e-49), ATRX (logFC = - 1.93, P = 5.89e-83), and NUTM2F (logFC = 2.28, P = 3.22e-196). Ten differentially expressed gene sets were identified among stage IV HR+/HER2- tumors, of which four were considered relevant to BC treatment and were significantly enriched in EA: ERBB2_UP.V1_UP (P = 3.95e-06), LTE2_UP.V1_UP (P = 2.90e-05), HALLMARK_FATTY_ACID_METABOLISM (P = 0.0073), and HALLMARK_ANDROGEN_RESPONSE (P = 0.0074).

conclusionsWe observed significant differences in mutational spectra, gene expression, and relevant transcriptional signatures between patients with genetically determined African and European ancestries, particularly within the HR+/HER2- BC and TNBC subtypes. These findings could guide future development of treatment strategies by providing opportunities for biomarker-informed research and, ultimately, clinical decisions for precision oncology care in diverse populations.

Indexed as

Breast NeoplasmsTriple Negative Breast NeoplasmsBlack PeopleFemaleHumansMutationPrecision MedicineWhite PeopleAncestryBreast cancerGenomicsTranscriptomics

Identifiers

PMID37231433
PMCPMC10210411

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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.