Evidence map›Paper›PMID 35373463›Full record

ArticleCancer medicine2022

Identification and validation of a ferroptosis-related gene signature for predicting survival in skin cutaneous melanoma.

Shuai Ping, Siyuan Wang, Yingsong Zhao, Jinbing He, Guanglei Li, Dinglin Li, Zhuo Wei, Jianghai Chen

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
9.6field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 63 citations in OpenAlex.

  1. Melanoma evolution in the lymph node shapes systemic outcomes.bioRxiv : the preprint server for biology · 2026
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  5. Emerging Roles of Ferroptosis in Skin Pathophysiology.The Journal of investigative dermatology · 2025
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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

8 authors at 2 institutions in 1 country.

Shuai PingDepartment of Orthopaedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0001-5857-0186
Siyuan WangDepartment of Orthopaedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yingsong ZhaoDepartment of Orthopaedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jinbing HeDepartment of Orthopaedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Guanglei LiDepartment of Orthopaedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Dinglin LiDepartment of Integrated Traditional Chinese and Western Medicine, Liyuan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Zhuo WeiDepartment of Orthopaedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jianghai ChenDepartment of Hand Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huazhong University of Science and Technology · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeFerroptosis plays a crucial role in the initiation and progression of melanoma. This study developed a robust signature with ferroptosis-related genes (FRGs) and assessed the ability of this signature to predict OS in patients with skin cutaneous melanoma (SKCM).

methodsRNA-sequencing data and clinical information of melanoma patients were extracted from TCGA, GEO, and GTEx. Univariate, multivariate, and LASSO regression analyses were conducted to identify the gene signature. A 10 FRG signature was an independent and strong predictor of survival. The predictive performance was assessed using ROC curve. The functions of this gene signature were assessed by GO and KEGG analysis. The statuses of low-risk and high-risk groups according to the gene signature were compared by GSEA. In addition, we investigated the possible relationship of FRGs with immunotherapy efficacy.

resultsA prognostic signature with 10 FRGs (CYBB, IFNG, FBXW7, ARNTL, PROM2, GPX2, JDP2, SLC7A5, TUBE1, and HAMP) was identified by Cox regression analysis. This signature had a higher prediction efficiency than clinicopathological features (AUC = 0.70). The enrichment analyses of DEGs indicated that ferroptosis-related immune pathways were largely enriched. Furthermore, GSEA showed that ferroptosis was associated with immunosuppression in the high-risk group. Finally, immune checkpoints such as PDCD-1 (PD-1), CTLA4, CD274 (PD-L1), and LAG3 were also differential expression in two risk groups.

conclusionsThe 10 FRGs signature were a strong predictor of OS in SKCM and could be used to predict therapeutic targets for melanoma.

Indexed as

FerroptosisMelanomaSkin NeoplasmsARNTL Transcription FactorsB7-H1 AntigenBiomarkers, TumorCTLA-4 AntigenCutaneous Malignant MelanomaF-Box-WD Repeat-Containing Protein 7Gene Expression Regulation, NeoplasticHumansLarge Neutral Amino Acid-Transporter 1PrognosisProgrammed Cell Death 1 ReceptorRNAARNTL Transcription FactorsB7-H1 AntigenBiomarkers, TumorCTLA-4 AntigenF-Box-WD Repeat-Containing Protein 7Large Neutral Amino Acid-Transporter 1Programmed Cell Death 1 ReceptorRNAferroptosisgene signaturemelanomaoverall survivaltumor immunity

Identifiers

PMID35373463
PMCPMC9487883
OpenAlexW4226118618

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.