Evidence map›Paper›PMID 41812038›Full record

ArticleMelanoma research2026

Insights into inherited genetic variations and genetic ancestry of patients with high-risk melanoma.

Ahmad A Tarhini, Mohammad Ali Khaksar, Zhihua Chen, Sandra J Lee, F Stephen Hodi, Tingyi Li, Alvaro N Monteiro, Howard Streicher, Vernon K Sondak, Xuefeng Wang and 2 more

Abstract read
In one paragraph

Article in Melanoma research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Ahmad A TarhiniDepartments of Cutaneous Oncology and Immunology.
Mohammad Ali KhaksarDepartments of Cutaneous Oncology and Immunology.
Zhihua ChenDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Sandra J LeeDepartment of Data Science, Dana Farber Cancer Institute, Harvard Medical School.
F Stephen HodiDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts.
Tingyi LiDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Alvaro N MonteiroDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Howard StreicherCancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, Maryland.
Vernon K SondakDepartments of Cutaneous Oncology and Immunology.
Xuefeng WangDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
John M KirkwoodDivision of Hematology-Oncology, Department of Medicine, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.
Peter A KanetskyDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO · 2014 to 2026
$111.2M
TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI John L. Cleveland · 1998 to 2026
$93.5M
ECOG-ACRIN Biospecimen Bank to Support NCTNU24CA196172 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI STANLEY R. HAMILTON, Scott D Jewell · 2015 to 2026
$41.1M
NCTN Lead Academic Participating Site at Dana-Farber/Partners Cancer CareUG1CA233180 · NCI · DANA-FARBER CANCER INST · PI Harold John Burstein · 2019 to 2026
$8.6M
NCI NCTN-Network Lead Academic Participating Site at UPMC Hillman Cancer CenterUG1CA233184 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ADAM M BRUFSKY, John Munn Kirkwood · 2019 to 2026
$7.7M
NCI NIH HHS CA076292NCI NIH HHS P30 CA076292NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS U24 CA196172NCI NIH HHS UG1 CA233180NCI NIH HHS UG1 CA233184NIH HHS U10CA180794NIH HHS U10CA180820NIH HHS UG1CA233180NIH HHS UG1CA233184State of Florida Bankhead-Coley Cancer RESEARCH GRANT 23B09
6 · The paper itself

Abstract

Host genetic ancestry plays an important role in shaping somatic mutation landscapes and may influence therapeutic outcomes as well as the risk of developing treatment-related adverse events. As genetic ancestry has been associated with differential susceptibility to melanoma subtypes, distinct somatic mutation frequencies and variable responses to immune checkpoint inhibitors warrant further investigation. This study investigated the genetic ancestry of a North American melanoma population using banked biospecimens from 744 patients enrolled in the ECOG-ACRIN E1609 phase III clinical trial (stages IIIB, IIIC, M1a, or M1b). Peripheral blood samples were genotyped using the Illumina Infinium Global Screening Array v3.0 + Multi-Disease BeadChip, followed by quality control, integration with reference dataset, and linkage disequilibrium pruning (198 064 single nucleotide polymorphisms). Dimensionality reduction was performed with Uniform Manifold Approximation and Projection analysis, and genetic ancestry was inferred using unsupervised ADMIXTURE models. Most patients (728 of 744; 97.8%) had predominant European (EUR) ancestry, followed by minor representation from admixed American (12 of 744; 1.6%) and East Asian (4 of 744; 0.5%) populations. Moreover, based on ADMIXTURE model ( K  = 5), 96.9% of participants had an estimated EUR ancestry proportion exceeding 80%. Self-reported race and ethnicity demonstrated strong concordance with genetically inferred ancestry, although a small subset of participants exhibited discordant ancestry components. Participants who self-identified as Hispanic exhibited mixed EUR-Admixed American ancestry components. Most patients represented predominant EUR ancestry, with limited representation of non-EUR populations. Integrating ancestry-informed genomic analyses will enhance understanding of melanoma susceptibility, improve prediction of immune-related adverse events, and support the development of tailored immunotherapy strategies.

Indexed as

Genetic VariationMelanomaSkin NeoplasmsAdultAgedFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideWhiteancestrybiomarkersgeneticgenetic variationgenomicsmelanomapopulation geneticprecision medicine

Identifiers

PMID41812038
PMCPMC13254891

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.