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Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma

BACKGROUND: Cutaneous melanoma (CM) is an aggressive type of skin cancer. Even after standard treatment, the recurrence and malignant progression of CM were almost inevitable. The overall survival (OS) of patients with CM varied widely, making it critical for prognostic prediction. Based on the corr...

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Autores principales: Nurzat, Yeltai, Dai, Damao, Hu, Julong, Zhang, Feiyu, Lin, Zaihuan, Huang, Yang, Gang, Liang, Ji, Hang, Zhang, Xiaowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166847/
https://www.ncbi.nlm.nih.gov/pubmed/37182147
http://dx.doi.org/10.3389/fonc.2023.1162406
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author Nurzat, Yeltai
Dai, Damao
Hu, Julong
Zhang, Feiyu
Lin, Zaihuan
Huang, Yang
Gang, Liang
Ji, Hang
Zhang, Xiaowen
author_facet Nurzat, Yeltai
Dai, Damao
Hu, Julong
Zhang, Feiyu
Lin, Zaihuan
Huang, Yang
Gang, Liang
Ji, Hang
Zhang, Xiaowen
author_sort Nurzat, Yeltai
collection PubMed
description BACKGROUND: Cutaneous melanoma (CM) is an aggressive type of skin cancer. Even after standard treatment, the recurrence and malignant progression of CM were almost inevitable. The overall survival (OS) of patients with CM varied widely, making it critical for prognostic prediction. Based on the correlation between CCR6 and melanoma incidence, we aimed to investigate the prognostic role of CCR6 and its relationship with immune infiltration in CM. METHODS: We obtained RNA sequencing data from The Cancer Genome Atlas (TCGA) to analyze the CM expression. Functional enrichment analyses, immune infiltration analyses, immune checkpoint analyses, and clinicopathology analyses were performed. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. A nomogram model had been developed. Kaplan–Meier survival analysis and log-rank test were used to estimate the relationship between OS and CCR6 expression. RESULTS: CCR6 was significantly upregulated in CM. Functional enrichment analyses revealed that CCR6 was correlated with immune response. Most immune cells and immune checkpoints were positively correlated with CCR6 expression. Kaplan–Meier analyses showed that high CCR6 expression was associated with a good outcome in CM and its subtypes. Cox regression showed that CCR6 was an independent prognostic factor in patients with CM (HR = 0.550, 95% CI = 0.332–0.912, p<0.05). CONCLUSIONS: CCR6 is considered to be a new prognostic biomarker for patients with CM, and our study provides a potential therapeutic target for CM treatment.
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spelling pubmed-101668472023-05-10 Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma Nurzat, Yeltai Dai, Damao Hu, Julong Zhang, Feiyu Lin, Zaihuan Huang, Yang Gang, Liang Ji, Hang Zhang, Xiaowen Front Oncol Oncology BACKGROUND: Cutaneous melanoma (CM) is an aggressive type of skin cancer. Even after standard treatment, the recurrence and malignant progression of CM were almost inevitable. The overall survival (OS) of patients with CM varied widely, making it critical for prognostic prediction. Based on the correlation between CCR6 and melanoma incidence, we aimed to investigate the prognostic role of CCR6 and its relationship with immune infiltration in CM. METHODS: We obtained RNA sequencing data from The Cancer Genome Atlas (TCGA) to analyze the CM expression. Functional enrichment analyses, immune infiltration analyses, immune checkpoint analyses, and clinicopathology analyses were performed. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. A nomogram model had been developed. Kaplan–Meier survival analysis and log-rank test were used to estimate the relationship between OS and CCR6 expression. RESULTS: CCR6 was significantly upregulated in CM. Functional enrichment analyses revealed that CCR6 was correlated with immune response. Most immune cells and immune checkpoints were positively correlated with CCR6 expression. Kaplan–Meier analyses showed that high CCR6 expression was associated with a good outcome in CM and its subtypes. Cox regression showed that CCR6 was an independent prognostic factor in patients with CM (HR = 0.550, 95% CI = 0.332–0.912, p<0.05). CONCLUSIONS: CCR6 is considered to be a new prognostic biomarker for patients with CM, and our study provides a potential therapeutic target for CM treatment. Frontiers Media S.A. 2023-04-25 /pmc/articles/PMC10166847/ /pubmed/37182147 http://dx.doi.org/10.3389/fonc.2023.1162406 Text en Copyright © 2023 Nurzat, Dai, Hu, Zhang, Lin, Huang, Gang, Ji and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Nurzat, Yeltai
Dai, Damao
Hu, Julong
Zhang, Feiyu
Lin, Zaihuan
Huang, Yang
Gang, Liang
Ji, Hang
Zhang, Xiaowen
Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma
title Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma
title_full Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma
title_fullStr Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma
title_full_unstemmed Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma
title_short Prognostic biomarker CCR6 and its correlation with immune infiltration in cutaneous melanoma
title_sort prognostic biomarker ccr6 and its correlation with immune infiltration in cutaneous melanoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166847/
https://www.ncbi.nlm.nih.gov/pubmed/37182147
http://dx.doi.org/10.3389/fonc.2023.1162406
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