Evidence map›Paper›PMID 40596554›Full record

ArticleScientific reports2025

A novel necroptosis related prognostic signature for skin cutaneous melanoma based on transcriptome and single cell sequencing analysis.

Xin Fan, Lingyi Lu, Sihan Wang, Qiongyan Zhou, Bingjiang Lin

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

5 authors.

Xin FanDepartment of Dermatology, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Ningbo, 315010, Zhejiang, China. fx619889@163.com.
Lingyi LuDepartment of Dermatology, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Ningbo, 315010, Zhejiang, China.
Sihan WangDepartment of Dermatology, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Ningbo, 315010, Zhejiang, China.
Qiongyan ZhouDepartment of Dermatology, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Ningbo, 315010, Zhejiang, China.
Bingjiang LinDepartment of Dermatology, The First Affiliated Hospital of Ningbo University, 59 Liuting Street, Ningbo, 315010, Zhejiang, China.

Funding

the Medical Health Science and Technology Project of Zhejiang Province 2022PY022the Medical Health Science and Technology Project of Zhejiang Province 2025KY1338
6 · The paper itself

Abstract

Necroptosis is a novel programmed cell death that affects the tumor heterogeneity, microenvironment, and prognosis, which is not well elucidated in skin cutaneous melanoma (SKCM). The SKCM-TCGA, GSE65904, and GSE215120 datasets were downloaded from the TCGA and GEO databases, respectively. The necroptosis-related genes were identified by weighted co-expression network analysis (WGCNA) and single-cell sequencing analysis. COX and LASSO regression was used to construct the prognostic model. Survival analysis, immune infiltration analysis, and tumor mutation analysis between the high-necroptosis score (NCPTS) and low-NCPTS groups were performed. Finally, real-time PCR experiment was carried out to verify the results. A prognostic model based on 9 necroptosis-related genes (TUFM, CD53, CLEC2D, KLRC1, STAT4, IFI35, XCL1, TAPBP, and SOD2) was constructed to predict the prognosis of SKCM patients. The patients in high-NCPTS group had a poor prognosis. The expression of immune checkpoint-related gene and drug sensitivity were higher than those in the low-NCPTS groups, indicating susceptible for immunotherapy. Real-time PCR showed that TUFM expression was significantly higher in A375 cells than control (P < 0.05). Besides, TUFM expression was also validated by TISCH and HPA database. The prognostic model might provide guidance for the prognosis and immunotherapy for SKCM patients, contributing to a better understanding of necroptosis in SKCM.

Indexed as

MelanomaNecroptosisSkin NeoplasmsTranscriptomeBiomarkers, TumorCell Line, TumorCutaneous Malignant MelanomaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMalePrognosisSingle-Cell AnalysisBiomarkers, TumorImmunotherapyNecroptosisPrognostic modelSingle-cell sequencingSkin cutaneous melanoma

Identifiers

PMID40596554
PMCPMC12219082

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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.