{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:15:16Z","timestamp":1760058916756,"version":"build-2065373602"},"reference-count":75,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T00:00:00Z","timestamp":1759968000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82073018 and 82073019"],"award-info":[{"award-number":["82073018 and 82073019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Innovation Commission, China","award":["JCYJ20210324114212035"],"award-info":[{"award-number":["JCYJ20210324114212035"]}]},{"name":"The State Key Program of National Natural Science of China","award":["No.62331011"],"award-info":[{"award-number":["No.62331011"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n<jats:title>Background<\/jats:title>\n<jats:p>Metastatic 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.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec002\">\n<jats:title>Methods<\/jats:title>\n<jats:p>Prognostic 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.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec003\">\n<jats:title>Results<\/jats:title>\n<jats:p>A prognostic model based on six ARGs\u2014NDRG1, HRAS, KPNA2, ICAM1, DOCK10, and CDC20\u2014was 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.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec004\">\n<jats:title>Conclusion<\/jats:title>\n<jats:p>The 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.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pone.0333916","type":"journal-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T17:26:53Z","timestamp":1760030813000},"page":"e0333916","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring the impact of antibody-dependent cellular phagocytosis-related genes on the prognosis of metastatic melanoma"],"prefix":"10.1371","volume":"20","author":[{"given":"Junhao","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiapeng","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolong","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6701-2044","authenticated-orcid":true,"given":"Jianglin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2025,10,9]]},"reference":[{"key":"pone.0333916.ref001","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.ejca.2022.03.008","article-title":"European consensus-based interdisciplinary guideline for melanoma. 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