Influence of genetic ancestry on UV mutational signatures linked to immunotherapy response in melanoma, beyond TMB.

K Kevin Magnaye (Caris Life Sciences, Irving, TX) B Brady Gilg L Lauren R. Dickman (Caris Life Sciences, Phoenix, AZ) R Rosemary N. Plagens (Caris Life Sciences, Irving, TX) D Dekker Deacon (Huntsman Cancer Institute at The University of Utah, Salt Lake City, UT) I Isaac Brownell (Dermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, MD) L Luis G. Carvajal-Carmona (Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA) S Sheri L. Holmen (Department of Surgery) S Sophia Shalhout (Massachusetts General Hospital, Boston, MA) A Andrew Elliott J Jennifer R. Klemp (Caris Life Sciences, Phoenix, AZ) J Joanne Xiu J Jenny Yawei Yang (Caris Life Sciences, Irving, TX) M Milan Radovich M Matthew James Oberley (Caris Life Sciences, Phoenix, AZ) J James Hamrick (Caris Life Sciences, Irving, TX) D David Spetzler G George W. Sledge S Srilakshmi M. Raj (Department of Genetics, Albert Einstein College of Medicine, Bronx, NY) F Farah R. Abdulla (Caris Life Sciences, Phoenix, AZ)

Abstract

3087 Background: Melanoma is a UV-driven malignancy with substantial biological heterogeneity, yet genomic profiling efforts have historically underrepresented diverse ancestral backgrounds, limiting insights into population-level differences in tumor biology and treatment response. Methods: In this retrospective study, a supervised machine learning framework was developed to infer genetic ancestry across 483,454 tumors profiled by tumor-only whole-exome sequencing (WES) at Caris Life Sciences (Phoenix, AZ), using 36,962 ancestry-informative variants derived from globally diverse Genome Aggregation Database (gnomAD) reference individuals (n=4,150). Survival outcomes inferred from claims data were evaluated using Cox proportional hazard ratios (HR) with 95% confidence intervals (CI) and log-rank p-values. Associations between features were evaluated using standard statistical tests and regression models. Results: We applied this framework to cutaneous melanoma (N=8,872). The UVB-related COSMIC mutational signatures SBS7a and SBS7b were markedly enriched in tumors from patients (pts) of European (EUR) ancestry (93.2% and 75.6%, respectively) but were uncommon in African ancestry tumors (6.9% and 5.2%). Within EUR ancestry pts, higher EUR ancestry fraction was associated with higher SBS7a and SBS7b prevalence (p=9.0x10 -4 and 1.5x10 -4 ), consistent with known differences in pigmentation biology and melanoma etiology. Among 3,587 melanoma pts treated with first-line immune checkpoint inhibitors (ICI), SBS7a positivity was strongly associated with improved overall survival (OS HR [95% CI] = 0.55 [0.46–0.66]) and time to next treatment (TTNT HR=0.58 [0.49–0.69]; all p<0.001), outperforming tumor mutational burden (TMB) as a prognostic biomarker. SBS7a+ remained prognostic in a multivariable Cox analysis accounting for TMB, age, sex, and the first two ancestry principal components. Furthermore, both SBS7a+ TMB-high and SBS7a+ TMB-low tumors demonstrated superior outcomes compared to SBS7a‒ TMB-low tumors (OS HR=0.49 [0.41–0.60] and 0.62 [0.51–0.74], respectively; all p<0.001). Similar patterns were observed in cutaneous squamous cell carcinoma. To assess specificity for UV-driven biology, we evaluated two non-sun-exposed malignancies: uveal melanoma and renal cell carcinoma (RCC). SBS7a was virtually absent in uveal melanoma and RCC (6.7% and 6.9%, respectively, among EUR ancestry pts) and did not stratify ICI outcomes in either cancer. These negative controls suggest that SBS7a does not arise without UV exposure and is not a general immunotherapy biomarker. Conclusions: These findings establish a scalable genetic ancestry framework, reveal ancestry-linked differences in melanoma mutagenesis, and demonstrate that SBS7a provides clinically meaningful, TMB-independent prognostic information specific to UV-driven tumors.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 3087-3087
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

K

Kevin Magnaye

Caris Life Sciences, Irving, TX

B

Brady Gilg

L

Lauren R. Dickman

Caris Life Sciences, Phoenix, AZ

R

Rosemary N. Plagens

Caris Life Sciences, Irving, TX

D

Dekker Deacon

Huntsman Cancer Institute at The University of Utah, Salt Lake City, UT

I

Isaac Brownell

Dermatology Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, MD

L

Luis G. Carvajal-Carmona

Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA

S

Sheri L. Holmen

Department of Surgery

S

Sophia Shalhout

Massachusetts General Hospital, Boston, MA

A

Andrew Elliott

J

Jennifer R. Klemp

Caris Life Sciences, Phoenix, AZ

J

Joanne Xiu

J

Jenny Yawei Yang

Caris Life Sciences, Irving, TX

M

Milan Radovich

M

Matthew James Oberley

Caris Life Sciences, Phoenix, AZ

J

James Hamrick

Caris Life Sciences, Irving, TX

D

David Spetzler

G

George W. Sledge

S

Srilakshmi M. Raj

Department of Genetics, Albert Einstein College of Medicine, Bronx, NY

F

Farah R. Abdulla

Caris Life Sciences, Phoenix, AZ