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ArticleCombinatorial chemistry & high throughput screening2025

Establishing a Ten Disulfidptosis-related Gene Signature for Prognostic Prediction in Skin Cutaneous Melanoma.

Haiyan Li, Zedong Chen, Yuanjie Huang, Chen Chen, Limin Cai

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Article in Combinatorial chemistry & high throughput screening, 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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.

Haiyan LiDepartment of Dermatology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang Province 150001, China.
Zedong ChenDepartment of Dermatology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150001, China.
Yuanjie HuangDepartment of Dermatology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150001, China.
Chen ChenDepartment of Dermatology, The Second Hospital of Harbin, Harbin, Heilongjiang Province 150001, China.
Limin CaiDepartment of Dermatology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDisulfidptosis is a new metabolic-related regulated cell death associated with cancer growth. This study aimed to investigate the molecular mechanisms associated with disulfidptosis in skin cutaneous melanoma (SKCM) and establish a disulfidptosis-related gene signature for prognostic prediction in SKCM.

methodsDisulfidptosis-associated genes were identified from RNA-seq data of SKCM. A risk score signature was developed and validated through univariate Cox and LASSO analyses. Additionally, the immune microenvironment related to the risk score signature was investigated. Finally, a disulfidptosis-related genes-transcription factor -miRNA network was developed, and the expression levels of five disulfidptosis-related genes were initially verified in SKCM cell lines.

resultsA total of 107 disulfidptosis-related differentially expressed genes in SKCM samples were identified. A ten-disulfidptosis-gene signature was established, including

conclusionWe successfully established ten disulfidptosis-related genes' prediction prognostic signatures for SKCM patients.

Indexed as

MelanomaSkin NeoplasmsBiomarkers, TumorCutaneous Malignant MelanomaDisulfidptosisHumansPrognosisBiomarkers, TumordisulfidptosisMolecular mechanismprognosis.RNA-seqSkin cutaneous melanomaT cell

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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 Socratic graph.