Evidence map›Paper›PMID 42320988›Full record

ArticleJournal for immunotherapy of cancer2026

Predicting immune-related thyroiditis using polygenic risk scores in patients with advanced melanoma.

Ahmad A Tarhini, Mohammad Ali Khaksar, Zhihua Chen, Sandra J Lee, F Stephen Hodi, Tingyi Li, Sean J Yoder, Howard Streicher, Vernon K Sondak, John M Kirkwood and 2 more

Abstract read
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Article in Journal for immunotherapy of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Ahmad A Tarhini *Department of Immunology, H Lee Moffitt Cancer Center and Research Center, Tampa, Florida, USA ahmad.tarhini@moffitt.org.ORCID http://orcid.org/0000-0002-3193-9702
Mohammad Ali Khaksar *Department of Cutaneous Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Zhihua ChenDepartment of Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Sandra J LeeHarvard Medical School, Boston, Massachusetts, USA.
F Stephen HodiDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Tingyi LiDepartment of Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Sean J YoderMolecular Genomics Core Facility, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Howard StreicherCancer Therapy Evaluation Program, National Cancer Institute, Baltimore, Maryland, USA.
Vernon K SondakDepartment of Cutaneous Oncology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
John M KirkwoodMedicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID http://orcid.org/0000-0002-3570-4476
Xuefeng WangDepartment of Biostatistics and Bioinformatics, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.ORCID http://orcid.org/0000-0001-5775-408X
Peter A KanetskyDepartment of Cancer Epidemiology, H Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.ORCID http://orcid.org/0000-0002-5567-9618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInherited genetic variation may impact patient response and risk of toxicity following immune checkpoint inhibitor (ICI) therapy.

methodsWe conducted an agnostic genome-wide analysis study for inherited genetic variants that may predict thyroiditis in patients with melanoma treated with ipilimumab and investigated Polygenic Risk Scores (PRSs) previously reported to be associated with thyroid disease. Germline DNA from 744 participants in a phase 3 adjuvant trial was analyzed following genome-wide genotyping.

resultsAn agnostic genome-wide cohort-level analysis identified top associated single nucleotide polymorphisms (SNPs), and a custom 10-SNP PRS was significantly associated with thyroiditis risk and severity. Among the SNPs identified, five mapped to intronic, four intergenic and one exonic regions. The latter was the lead SNP and mapped to

conclusionsThese findings indicate that inherited genetic background contributes to thyroid immune toxicity risk following ICI and support PRS-based approaches for risk-adapted monitoring during immunotherapy.

Indexed as

Immune Checkpoint InhibitorsIpilimumabMelanomaThyroiditisAgedFemaleGenetic Risk ScoreGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideImmune Checkpoint InhibitorsIpilimumabCTLA-4 AntigenImmune Checkpoint InhibitorsIpilimumabMelanomaThyroiditis

Identifiers

PMID42320988
PMCPMC13289257

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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.