Evidence map›Paper›PMID 36048199›Full record

ArticleCancer discovery2022

Genetic Ancestry Correlates with Somatic Differences in a Real-World Clinical Cancer Sequencing Cohort.

Kanika Arora, Thinh N Tran, Yelena Kemel, Miika Mehine, Ying L Liu, Subhiksha Nandakumar, Shaleigh A Smith, A Rose Brannon, Irina Ostrovnaya, Konrad H Stopsack and 18 more

Abstract read
In one paragraph

Article in Cancer discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Molecular and Clinical Determinants of Targeted Therapy Treatment in Biliary Tract Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  5. Article
  6. 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
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  17. Article
  18. 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
  19. Article
  20. 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

28 authors.

Kanika AroraDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-9537-8708
Thinh N TranMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-3428-2507
Yelena KemelMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-5042-5651
Miika MehineDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-0443-0625
Ying L LiuDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5790-851X
Subhiksha NandakumarMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-0258-3484
Shaleigh A SmithMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-4597-9876
A Rose BrannonDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-4610-0149
Irina OstrovnayaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-1783-0070
Konrad H StopsackDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-0722-1311
Pedram RazaviDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-4236-0576
Anton SafonovDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4100-8071
Hira A RizviHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8007-096X
Matthew D HellmannDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-2670-9777
Joseph VijaiRobert and Kate Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7933-151X
Thomas C ReynoldsOffice of Health Equity, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-9395-373X
James A FaginDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-2365-2517
Jian Carrot-ZhangDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-0103-9965
Kenneth OffitRobert and Kate Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-2180-2032
David B SolitMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6614-802X
Marc LadanyiDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-9055-7213
Nikolaus SchultzMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-0131-4904
Ahmet ZehirDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5406-4104
Carol L BrownOffice of Health Equity, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8411-2023
Zsofia K StadlerRobert and Kate Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6985-2864
Debyani ChakravartyDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8629-5732
Chaitanya BandlamudiDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-1108-4919
Michael F BergerDepartment of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-3882-5000

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Yu Chen, MICHAEL J MORRIS · 2001 to 2026
$63.0M
SPORE in Bladder CancerP50CA221745 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI OSTROVNAYA, IRINA · 2018 to 2024
$11.8M
(PQ3) Integrative biomarkers of cancer progression and therapeutic response from germline and somatic clinical sequencingR01CA227534 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BERGER, MICHAEL F. · 2019 to 2023
$3.5M
MSK Computational Biology Summer ProgramR25CA233208 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Michael F. Berger, Yaihara Myriam Fortis-Santiago · 2019 to 2026
$1.8M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629NCI NIH HHS P50 CA221745NCI NIH HHS R01 CA227534NCI NIH HHS R25 CA233208
6 · The paper itself

Abstract

Accurate ancestry inference is critical for identifying genetic contributors of cancer disparities among populations. Although methods to infer genetic ancestry have historically relied upon genome-wide markers, the adaptation to targeted clinical sequencing panels presents an opportunity to incorporate ancestry inference into routine diagnostic workflows. We show that global ancestral contributions and admixture of continental populations can be quantitatively inferred using markers captured by the MSK-IMPACT clinical panel. In a pan-cancer cohort of 45,157 patients, we observed differences by ancestry in the frequency of somatic alterations, recapitulating known associations and revealing novel associations. Despite the comparable overall prevalence of driver alterations by ancestry group, the proportion of patients with clinically actionable alterations was lower for African (30%) compared with European (33%) ancestry. Although this result is largely explained by population-specific cancer subtype differences, it reveals an inequity in the degree to which different populations are served by existing precision oncology interventions. SIGNIFICANCE: We performed a comprehensive analysis of ancestral associations with somatic mutations in a real-world pan-cancer cohort, including >5,000 non-European individuals. Using an FDA-authorized tumor sequencing panel and an FDA-recognized oncology knowledge base, we detected differences in the prevalence of clinically actionable alterations, potentially contributing to health care disparities affecting underrepresented populations. This article is highlighted in the In This Issue feature, p. 2483.

Indexed as

NeoplasmsWhite PeopleGenetics, PopulationHumansPolymorphism, Single NucleotidePrecision Medicine

Identifiers

PMID36048199
PMCPMC9633436

What OpenQuestion 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 OpenQuestion graph.