Evidence map›Paper›PMID 41066319›Full record

ArticlePloS one2025

Exploring the impact of antibody-dependent cellular phagocytosis-related genes on the prognosis of metastatic melanoma.

Junhao Chen, Jiapeng He, Xiaolong Xu, Haiyan Sun, Jianglin Zhang

Abstract read
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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Junhao ChenDepartment of Dermatology, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China.
Jiapeng HeDepartment of Biochemistry, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Xiaolong XuDepartment of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China.
Haiyan SunDepartment of Experimental Research, South China Hospital, Medical School, Shenzhen University, Shenzhen, P. R. China.
Jianglin ZhangDepartment of Dermatology, Shenzhen People's Hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China.ORCID https://orcid.org/0000-0002-6701-2044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastatic melanoma is a challenging clinical condition with poor prognosis. Recent research has highlighted the role of antibody-dependent cellular phagocytosis (ADCP) in tumor immunity, suggesting prognostic implications for ADCP-related genes (ARGs). This study develops a prognostic model for metastatic melanoma using ARGs to enhance clinical decision-making and therapeutic strategies.

methodsPrognostic ARGs were identified from the GSE46517 and GSE7553 datasets. A prognostic model was constructed using LASSO-Cox regression and validated across multiple cohorts, including TCGA and GEO datasets. A nomogram was developed to assess survival outcomes in metastatic melanoma patients. Functional assays, including siRNA knockdown of DOCK10 in A375 cells, were conducted to validate the role of DOCK10 in melanoma progression.

resultsA prognostic model based on six ARGs-NDRG1, HRAS, KPNA2, ICAM1, DOCK10, and CDC20-was developed. Patients were stratified into high- and low-risk groups based on risk scores, with high-risk patients showing poorer overall survival (OS) in both validation cohorts. The model was validated as an independent prognostic factor. Gene set enrichment analysis (GSEA) indicated that the low-risk group was enriched in immune-related pathways. High-risk patients exhibited higher genomic instability, which was associated with poorer prognosis. Knockdown of DOCK10 in A375 cells significantly reduced proliferation, migration, and invasion, confirming its role in melanoma progression.

conclusionThe model also demonstrated associations with immune cell infiltration and drug sensitivity, highlighting its potential utility in optimizing immunotherapy and chemotherapy strategies. This study developed a novel ARG-based prognostic model that aids in survival prediction and therapeutic decision-making for metastatic melanoma patients. DOCK10 was identified as a potential therapeutic target in melanoma metastasis.

Indexed as

MelanomaPhagocytosisBiomarkers, TumorCell Line, TumorFemaleGene Expression Regulation, NeoplasticGuanine Nucleotide Exchange FactorsHumansMaleNeoplasm MetastasisNomogramsPrognosisBiomarkers, TumorGuanine Nucleotide Exchange Factors

Identifiers

PMID41066319
PMCPMC12510546

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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.