Evidence map›Paper›PMID 37864521›Full record

ArticleCancer2024

Genomic ancestry in kidney cancer: Correlations with clinical and molecular features.

Ritesh R Kotecha, Andrea Knezevic, Kanika Arora, Chaitanya Bandlamudi, Fengshen Kuo, Maria I Carlo, Kelly N Fitzgerald, Darren R Feldman, Neil J Shah, Ed Reznik and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

17 authors at 1 institution in 1 country.

Ritesh R KotechaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-0223-3479
Andrea KnezevicDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-0741-2150
Kanika AroraMarie-Jose and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-9537-8708
Chaitanya BandlamudiMarie-Jose and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-1108-4919
Fengshen KuoImmunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-1797-2896
Maria I CarloDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-4786-7408
Kelly N FitzgeraldDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-6698-5840
Darren R FeldmanDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-2424-4635
Neil J ShahDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-5752-6212
Ed ReznikDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-6511-5947
A Ari HakimiDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-0930-8824
Jian Carrot-ZhangDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0002-0103-9965
Diana MandelkerHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-4154-0567
Michael BergerMarie-Jose and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-3882-5000
Chung-Han LeeDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-5511-0635
Robert J MotzerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-6925-2327
Martin H VossDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0003-0551-5807
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

introductionGenetic ancestry (GA) refers to population hereditary patterns that contribute to phenotypic differences seen among race/ethnicity groups, and differences among GA groups may highlight unique biological determinants that add to our understanding of health care disparities.

methodsA retrospective review of patients with renal cell carcinoma (RCC) was performed and correlated GA with clinicopathologic, somatic, and germline molecular data. All patients underwent next-generation sequencing of normal and tumor DNA using Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets, and contribution of African (AFR), East Asian (EAS), European (EUR), Native American, and South Asian (SAS) ancestry was inferred through supervised ADMIXTURE. Molecular data was compared across GA groups by Fisher exact test and Kruskal-Wallis test.

resultsIn 953 patients with RCC, the GA distribution was: EUR (78%), AFR (4.9%), EAS (2.5%), SAS (2%), Native American (0.2%), and Admixed (12.2%). GA distribution varied by tumor histology and international metastatic RCC database consortium disease risk status (intermediate-poor: EUR 58%, AFR 88%, EAS 74%, and SAS 73%). Pathogenic/likely pathogenic germline variants in cancer-predisposition genes varied (16% EUR, 23% AFR, 8% EAS, and 0% SAS), and most occurred in CHEK2 in EUR (3.1%) and FH in AFR (15.4%). In patients with clear cell RCC, somatic alteration incidence varied with significant enrichment in BAP1 alterations (EUR 17%, AFR 50%, SAS 29%; p = .01). Comparing AFR and EUR groups within The Cancer Genome Atlas, significant differences were identified in angiogenesis and inflammatory pathways.

conclusionDifferences in clinical and molecular data by GA highlight population-specific variations in patients with RCC. Exploration of both genetic and nongenetic variables remains critical to optimize efforts to overcome health-related disparities.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsEthnicityGenetics, PopulationGenomicsHumansgenomic ancestrykidney cancerrenal cell carcinoma

Identifiers

PMID37864521
PMCPMC11220722
OpenAlexW4387845458

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.