Evidence map›Paper›PMID 40280722›Full record

ArticleCancer genomics & proteomics

Characterization of the Neoantigen Profile in a Tumor Mutation Burden-high Melanoma Patient With Multiple Metastases.

Shusuke Yoshikawa, Chie Maeda, Akira Iizuka, Tomoatsu Ikeya, Kazue Yamashita, Tadashi Ashizawa, Akari Kanematsu, Haruo Miyata, Yasufumi Kikuchi, Kenichi Urakami and 5 more

Abstract read
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Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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

15 authors.

Shusuke Yoshikawa *Division of Dermatology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Chie Maeda *Immunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Akira IizukaImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Tomoatsu IkeyaImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Kazue YamashitaImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Tadashi AshizawaImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Akari KanematsuImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Haruo MiyataImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Yasufumi KikuchiImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Kenichi UrakamiCancer Diagnostic Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Keiichi OhshimaMedical Genetics Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Takeshi NagashimaCancer Diagnostic Research Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan.
Ken YamaguchiOffice of the President Emeritus, Shizuoka Cancer Center, Shizuoka, Japan.
Yoshio KiyoharaDivision of Dermatology, Shizuoka Cancer Center Hospital, Shizuoka, Japan.
Yasuto AkiyamaImmunotherapy Division, Shizuoka Cancer Center Research Institute, Shizuoka, Japan; y.akiyama@scchr.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimRecently, neoantigen (NA) profiling has been intensively performed for the development of novel immunotherapy. We previously reported a melanoma case with a high tumor mutation burden that achieved complete remission after anti-programmed death-1 therapy. We herein revisited the same case, characterized the NA profiles of other metastatic lesions using MATERIALS AND

methodsNA candidates obtained from whole-exome sequencing were applied to the HLA-binding prediction algorithm, NetMHCpan4.1. HLA-A*2402-restricted sequence candidates with a strong binding capacity (<50 nM) and elution affinity (<1%) were selected and evaluated for synthetic peptide candidates. The immunological status in metastatic sites was characterized using gene expression profiling, immunohistochemistry, and a TCR repertoire analysis.

resultsThe genomic analysis revealed that all metastatic sites, such as costal, intra-muscular, and brain lesions, had >1,500 SNVs, and 12 driver mutations were common to all sites. New driver mutations were identified in intra-muscular (KMT2C: p.P3292S) and brain (JAK1: p.S404P) metastases and a functional analysis of these mutations revealed that JAK1 mutation exhibited a promoting effect on invasion activity. CTL assays using synthetic NA peptides identified more NA epitopes in brain metastasis.

conclusionThese results might suggest that the heterogeneity of driver gene mutations is unremarkable, while immunological response is variable in metastatic sites. As a result, the genomic and immunological investigation has provided a very valuable and informative suggestion regarding better cancer therapy decisions.

Indexed as

Antigens, NeoplasmMelanomaMutationExome SequencingHumansLymphocytes, Tumor-InfiltratingNeoplasm MetastasisAntigens, Neoplasmdriver gene mutationsHigh TMB melanomaimmunological statusmultiple metastasesneoantigens

Identifiers

PMID40280722
PMCPMC12041879

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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.