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The tumor microenvironment (TME) plays a crucial role in the occurrence and development of cutaneous melanoma. Nevertheless, the dynamics modulation of the immune and stromal components in the TME is not fully understood. In this study, 471 CM samples were obtained from TCGA database, and the ratio of tumor-infiltrating immune cells (TICs) in the TME were estimated using the ESTIMATE algorithms and CIBERSORT computational method. The differently expressed genes (DEGs) were applied to GO and KEGG function enrichment analysis, establishment of protein-protein interaction (PPI) network and univariate Cox regression analysis. Subsequently, we identified a predictive factor: HLA-DRB1 (major histocompatibility complex, class II, DR beta 1) by the intersection analysis of the hub genes of PPI network and the genes associated with the prognosis of the CM patients obtained by univariate Cox regression analysis. Correlation analysis and survival analysis showed that the expression level of HLA-DRB1 was negatively correlated with the Stage of the patients while positively correlated with the survival, prognosis and TME of melanoma. The GEPIA web server and the representative immunohistochemical images of HLA-DRB1 in the normal skin tissue and melanoma tissue from the Human Protein Atlas (HPA) database were applied to validate the expression level of HLA-DRB1. CIBERSORT analysis for the ratio of TICs indicated that 9 types of TICs were positively correlated with the expression level of HLA-DRB1 and only 4 types of TICs were negatively correlated with the expression level of HLA-DRB1. These results suggested that the expression level of HLA-DRB1 may be related to the immune activity of the TME and may affect the prognosis of CM patients by changing the status of the TME.<\/jats:p>","DOI":"10.1371\/journal.pone.0274897","type":"journal-article","created":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T17:37:51Z","timestamp":1663781871000},"page":"e0274897","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":12,"title":["HLA-DRB1: A new potential prognostic factor and therapeutic target of cutaneous melanoma and an indicator of tumor microenvironment remodeling"],"prefix":"10.1371","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3655-2184","authenticated-orcid":true,"given":"Huiling","family":"Deng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxuan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiecong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4398-6151","authenticated-orcid":true,"given":"Ran","family":"An","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2022,9,21]]},"reference":[{"issue":"2","key":"pone.0274897.ref001","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.ejcsup.2013.07.012","article-title":"Melanoma epidemiology, biology and prognosis","volume":"11","author":"Z Ali","year":"2013","journal-title":"EJC Suppl"},{"key":"pone.0274897.ref002","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.semcancer.2019.08.002","article-title":"Unraveling the crosstalk between melanoma and immune cells in the tumor microenvironment","volume":"59","author":"M Marzagalli","year":"2019","journal-title":"Semin Cancer Biol"},{"key":"pone.0274897.ref003","doi-asserted-by":"crossref","first-page":"615963","DOI":"10.3389\/fonc.2021.615963","article-title":"Identification of Genes Related to Immune Infiltration in the Tumor Microenvironment of Cutaneous Melanoma","volume":"11","author":"R Qin","year":"2021","journal-title":"Front Oncol."},{"issue":"1","key":"pone.0274897.ref004","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3322\/caac.21551","article-title":"Cancer statistics, 2019","volume":"69","author":"RL Siegel","year":"2019","journal-title":"CA Cancer J Clin."},{"issue":"1","key":"pone.0274897.ref005","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3322\/caac.21590","article-title":"Cancer statistics, 2020","volume":"70","author":"RL Siegel","year":"2020","journal-title":"CA Cancer J Clin."},{"issue":"10151","key":"pone.0274897.ref006","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1016\/S0140-6736(18)31559-9","article-title":"Melanoma","volume":"392","author":"D Schadendorf","year":"2018","journal-title":"The Lancet"},{"key":"pone.0274897.ref007","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.ejca.2019.11.015","article-title":"European consensus-based interdisciplinary guideline for melanoma. 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