Evidence map›Paper›PMID 39888082›Full record

ArticleCancer science2025

Genomic profiles of patients with skin melanoma in the era of immune checkpoint inhibitors.

Yao Liang, Osamu Maeda, Kazuki Nishida, Basile Chretien, Yuichi Ando

Abstract read
In one paragraph

Article in Cancer science, 2025. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Yao LiangDepartment of Clinical Oncology and Chemotherapy, Nagoya University Hospital, Nagoya, Japan.ORCID https://orcid.org/0009-0005-2365-1513
Osamu MaedaDepartment of Clinical Oncology and Chemotherapy, Nagoya University Hospital, Nagoya, Japan.ORCID https://orcid.org/0000-0003-4700-6541
Kazuki NishidaDepartment of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan.
Basile ChretienDepartment of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan.
Yuichi AndoDepartment of Clinical Oncology and Chemotherapy, Nagoya University Hospital, Nagoya, Japan.ORCID https://orcid.org/0000-0002-6849-2297

Funding

Japan Science and Technology Agency, Support for Pioneering Research Initiated by the Next Generation (JST SPRING) JPMJSP2125
6 · The paper itself

Abstract

The use of immune checkpoint inhibitors (ICIs) for treating melanoma has dramatically improved patient prognosis. The genomic profiles of patients receiving ICI therapy would provide valuable information for disease management and treatment. We investigated the genomic profiles of patients with melanoma who had received ICI therapy and explored associations with clinical features and outcomes via a large-scale nationwide database in Japan (the C-CAT database). We identified 339 patients eligible for this study. The most frequent genetic mutations were found in the BRAF (27%), TERT (24%), and NRAS (19%) genes, and the most common copy number variations (CNVs) were in the CDKN2A (36%), CDKN2B (26%), and MTAP (19%) genes. Associations with high tumor mutational burden (TMB-high) status were significant for TERT (p < 0.001), NF1 (p < 0.001), ROS1 (p = 0.015), POLE (p = 0.045), and POLD1 (p = 0.008) mutations, along with older age (≥65 years, p = 0.036). Patients with multiple metastases (two or more) were more likely to have NOTCH3 mutations (p = 0.017) and be younger than 65 years (p = 0.024). In particular, as well as younger age, patients with brain metastases were more likely to harbor BRAF mutations (p < 0.001), while those with liver metastases were more likely to harbor NOTCH3 mutations (p < 0.001) but not CDKN2B CNVs (p = 0.041). Patients with NRAS mutations were less likely to respond to ICI therapy (p = 0.014) and exhibited shorter overall survival (p = 0.006). In this population, the frequency of BRAF mutations was lower than that in fair-skinned populations, but the associations between genomic profiles, clinical features, and outcomes were similar to those previously reported in fair-skinned populations.

Indexed as

Immune Checkpoint InhibitorsMelanomaSkin NeoplasmsAdultAgedAged, 80 and overBiomarkers, TumorDNA Copy Number VariationsFemaleGenomicsGTP PhosphohydrolasesHumansJapanMaleMembrane ProteinsMiddle AgedBiomarkers, TumorBRAF protein, humanGTP PhosphohydrolasesImmune Checkpoint InhibitorsMembrane ProteinsNRAS protein, humanProto-Oncogene Proteins B-rafTelomeraseTERT protein, humanBRAFimmune checkpoint inhibitorsmelanomaNOTCH3NRAS

Identifiers

PMID39888082
PMCPMC11967263

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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.