Cargando…

An estrogen response-related signature predicts response to immunotherapy in melanoma

BACKGROUND: Estrogen/estrogen receptor signaling influences the tumor microenvironment and affects the efficacy of immunotherapy in some tumors, including melanoma. This study aimed to construct an estrogen response-related gene signature for predicting response to immunotherapy in melanoma. METHODS...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Min, Du, Tian, Tang, Xiaofeng, Liao, Ying, Cao, Lan, Zhang, Yafang, Zheng, Wei, Zhou, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213284/
https://www.ncbi.nlm.nih.gov/pubmed/37251404
http://dx.doi.org/10.3389/fimmu.2023.1109300
_version_ 1785047585861402624
author Lin, Min
Du, Tian
Tang, Xiaofeng
Liao, Ying
Cao, Lan
Zhang, Yafang
Zheng, Wei
Zhou, Jianhua
author_facet Lin, Min
Du, Tian
Tang, Xiaofeng
Liao, Ying
Cao, Lan
Zhang, Yafang
Zheng, Wei
Zhou, Jianhua
author_sort Lin, Min
collection PubMed
description BACKGROUND: Estrogen/estrogen receptor signaling influences the tumor microenvironment and affects the efficacy of immunotherapy in some tumors, including melanoma. This study aimed to construct an estrogen response-related gene signature for predicting response to immunotherapy in melanoma. METHODS: RNA sequencing data of 4 immunotherapy-treated melanoma datasets and TCGA melanoma was obtained from open access repository. Differential expression analysis and pathway analysis were performed between immunotherapy responders and non-responders. Using dataset GSE91061 as the training group, a multivariate logistic regression model was built from estrogen response-related differential expression genes to predict the response to immunotherapy. The other 3 datasets of immunotherapy-treated melanoma were used as the validation group. The correlation was also examined between the prediction score from the model and immune cell infiltration estimated by xCell in the immunotherapy-treated and TCGA melanoma cases. RESULTS: “Hallmark Estrogen Response Late” was significantly downregulated in immunotherapy responders. 11 estrogen response-related genes were significantly differentially expressed between immunotherapy responders and non-responders, and were included in the multivariate logistic regression model. The AUC was 0.888 in the training group and 0.654–0.720 in the validation group. A higher 11-gene signature score was significantly correlated to increased infiltration of CD8+ T cells (rho=0.32, p=0.02). TCGA melanoma with a high signature score showed a significantly higher proportion of immune-enriched/fibrotic and immune-enriched/non-fibrotic microenvironment subtypes (p<0.001)–subtypes with better response to immunotherapy–and significantly better progression-free interval (p=0.021). CONCLUSION: In this study, we identified and verified an 11-gene signature that could predict response to immunotherapy in melanoma and was correlated with tumor-infiltrating lymphocytes. Our study suggests targeting estrogen-related pathways may serve as a combination strategy for immunotherapy in melanoma.
format Online
Article
Text
id pubmed-10213284
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-102132842023-05-27 An estrogen response-related signature predicts response to immunotherapy in melanoma Lin, Min Du, Tian Tang, Xiaofeng Liao, Ying Cao, Lan Zhang, Yafang Zheng, Wei Zhou, Jianhua Front Immunol Immunology BACKGROUND: Estrogen/estrogen receptor signaling influences the tumor microenvironment and affects the efficacy of immunotherapy in some tumors, including melanoma. This study aimed to construct an estrogen response-related gene signature for predicting response to immunotherapy in melanoma. METHODS: RNA sequencing data of 4 immunotherapy-treated melanoma datasets and TCGA melanoma was obtained from open access repository. Differential expression analysis and pathway analysis were performed between immunotherapy responders and non-responders. Using dataset GSE91061 as the training group, a multivariate logistic regression model was built from estrogen response-related differential expression genes to predict the response to immunotherapy. The other 3 datasets of immunotherapy-treated melanoma were used as the validation group. The correlation was also examined between the prediction score from the model and immune cell infiltration estimated by xCell in the immunotherapy-treated and TCGA melanoma cases. RESULTS: “Hallmark Estrogen Response Late” was significantly downregulated in immunotherapy responders. 11 estrogen response-related genes were significantly differentially expressed between immunotherapy responders and non-responders, and were included in the multivariate logistic regression model. The AUC was 0.888 in the training group and 0.654–0.720 in the validation group. A higher 11-gene signature score was significantly correlated to increased infiltration of CD8+ T cells (rho=0.32, p=0.02). TCGA melanoma with a high signature score showed a significantly higher proportion of immune-enriched/fibrotic and immune-enriched/non-fibrotic microenvironment subtypes (p<0.001)–subtypes with better response to immunotherapy–and significantly better progression-free interval (p=0.021). CONCLUSION: In this study, we identified and verified an 11-gene signature that could predict response to immunotherapy in melanoma and was correlated with tumor-infiltrating lymphocytes. Our study suggests targeting estrogen-related pathways may serve as a combination strategy for immunotherapy in melanoma. Frontiers Media S.A. 2023-05-12 /pmc/articles/PMC10213284/ /pubmed/37251404 http://dx.doi.org/10.3389/fimmu.2023.1109300 Text en Copyright © 2023 Lin, Du, Tang, Liao, Cao, Zhang, Zheng and Zhou 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 Immunology
Lin, Min
Du, Tian
Tang, Xiaofeng
Liao, Ying
Cao, Lan
Zhang, Yafang
Zheng, Wei
Zhou, Jianhua
An estrogen response-related signature predicts response to immunotherapy in melanoma
title An estrogen response-related signature predicts response to immunotherapy in melanoma
title_full An estrogen response-related signature predicts response to immunotherapy in melanoma
title_fullStr An estrogen response-related signature predicts response to immunotherapy in melanoma
title_full_unstemmed An estrogen response-related signature predicts response to immunotherapy in melanoma
title_short An estrogen response-related signature predicts response to immunotherapy in melanoma
title_sort estrogen response-related signature predicts response to immunotherapy in melanoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213284/
https://www.ncbi.nlm.nih.gov/pubmed/37251404
http://dx.doi.org/10.3389/fimmu.2023.1109300
work_keys_str_mv AT linmin anestrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT dutian anestrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT tangxiaofeng anestrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT liaoying anestrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT caolan anestrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT zhangyafang anestrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT zhengwei anestrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT zhoujianhua anestrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT linmin estrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT dutian estrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT tangxiaofeng estrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT liaoying estrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT caolan estrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT zhangyafang estrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT zhengwei estrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma
AT zhoujianhua estrogenresponserelatedsignaturepredictsresponsetoimmunotherapyinmelanoma