Evidence map›Paper›PMID 42186061›Full record

ArticleGenome medicine2026

Enhanced measures of neoantigenicity capture unique tumor-immune interactions across primary melanoma subtypes.

Eva R Shteinman, Grace H Attrill, Nigel G Maher, Kiran Gnana, Venkateswar Addala, Yizhe Mao, Umaimainthan Palendira, Jordan W Conway, Andrew J Colebatch, Nicola Waddell and 6 more

Abstract read
In one paragraph

Article in Genome medicine, 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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0citing papers 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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

16 authors.

Eva R ShteinmanMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Grace H AttrillMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Nigel G MaherMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Kiran GnanaCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Venkateswar AddalaCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Yizhe MaoMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Umaimainthan PalendiraCharles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
Jordan W ConwayMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Andrew J ColebatchMelanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Nicola WaddellCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Nicholas K HaywardCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
John V PearsonCancer Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Georgina V Long *Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Richard A Scolyer *Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
James S Wilmott *Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia.
Ismael A Vergara *Melanoma Institute Australia, The University of Sydney, Sydney, NSW, Australia. ismael.vergaracorrea@sydney.edu.au.

Funding

National Health and Medical Research Council of Australia (NHMRC) Investigator Fellowship APP1174325National Health and Medical Research Council of Australia (NHMRC) Investigator Grant 2022/GNT2018514
6 · The paper itself

Abstract

backgroundAs immune checkpoint inhibitor therapies move toward treatment of clinically high-risk localized primary melanoma, there is an increasing need for clear understanding of the tumor-immune interaction across primary melanoma subtypes. Tumor genomic properties play a crucial role in the interaction with the immune system and have been widely explored in metastatic melanoma, but are less understood in the primary context across melanoma subtypes. Persistent tumor mutational burden (pTMB) has been proposed as an enhanced proxy of neoantigenicity in metastatic melanoma compared to standard TMB, but its role in primary disease is not known.

methodsThis study utilised a cohort of 178 predominantly primary melanomas (cutaneous non-acral: n = 69, acral: n = 36, mucosal: n = 73) with available whole-genome sequencing (WGS, n = 127) to measure TMB, pTMB, aneuploidy and loss of heterozygosity, as well as multiplexed immunohistochemistry (mIHC, n = 140) to identify intratumoral T cells (CD3 + , CD8 + , CD45RO + & CD103 +), B cells (CD20 +), dendritic cells (CD11c +), macrophages (CD68 +) and PD-L1 + cells.

resultsWhilst pTMB is mostly contributed by mutations present in multiple copies across primary melanoma subtypes, distinct families of clonal pTMB capture relationships with CD8 + T cells and CD8 + CD103 + T cells across subtypes not captured by clonal standard TMB. Clonal single-copy pTMB was positively associated with elevated CD8 + T cell (p = 0.003) and CD8 + CD103 + T cell infiltration (p = 0.008) in cutaneous melanomas. In contrast, clonal multiple-copy pTMB was positively associated with elevated CD8 + CD103 + T cell infiltration in acral (p = 0.048) and mucosal (p = 0.049) melanomas. Cutaneous primary melanomas had greater proportions of CD8 + T cells (p = 0.009) and CD8 + CD103 + T cells (p = 0.0002) compared to mucosal melanomas. In turn, CD8 + T cell infiltration was associated with absence of lymphatic invasion (p = 0.003), and negatively associated with tumor mitotic rate (p = 0.049) in cutaneous melanomas, indicative of less aggressive disease.

conclusionsPrimary melanoma subtypes present significant differences in their immune and genomic landscapes, as well as their interactions. Distinct measures of pTMB carry added value compared to standard TMB for identification of tumour-immune associations across primary melanoma subtypes. Our findings indicate that pTMB is a relevant neoantigenicity marker in primary melanoma with the potential to modulate immune infiltration, leading to more aggressive disease.

Indexed as

Antigens, NeoplasmMelanomaSkin NeoplasmsFemaleHumansLymphocytes, Tumor-InfiltratingMaleMiddle AgedMutationWhole Genome SequencingAntigens, NeoplasmCancer genomicsCancer immunologyMultiplex immunohistochemistryNeoantigensPrimary melanomaTumor mutational burdenWhole-genome sequencing

Identifiers

PMID42186061
PMCPMC13390141

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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.