Cargando…

Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification

BACKGROUND: Prostatic cancer (PCa) is one of the most common malignant tumors in men worldwide. Emerging evidence indicates significance of hypoxia and immunity in PCa invasion and metastasis. This study aimed to develop a hypoxia- and immune-related gene risk signature and explore the molecular mec...

Descripción completa

Detalles Bibliográficos
Autores principales: Lyu, Fang, Li, Yunxue, Yan, Zhecheng, He, Qingliu, Cheng, Lulin, Zhang, Pu, Liu, Bing, Liu, Chunyu, Song, Yarong, Xing, Yifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092714/
https://www.ncbi.nlm.nih.gov/pubmed/35538543
http://dx.doi.org/10.1186/s12967-022-03398-4
_version_ 1784705190484508672
author Lyu, Fang
Li, Yunxue
Yan, Zhecheng
He, Qingliu
Cheng, Lulin
Zhang, Pu
Liu, Bing
Liu, Chunyu
Song, Yarong
Xing, Yifei
author_facet Lyu, Fang
Li, Yunxue
Yan, Zhecheng
He, Qingliu
Cheng, Lulin
Zhang, Pu
Liu, Bing
Liu, Chunyu
Song, Yarong
Xing, Yifei
author_sort Lyu, Fang
collection PubMed
description BACKGROUND: Prostatic cancer (PCa) is one of the most common malignant tumors in men worldwide. Emerging evidence indicates significance of hypoxia and immunity in PCa invasion and metastasis. This study aimed to develop a hypoxia- and immune-related gene risk signature and explore the molecular mechanisms to formulate a better prognostic tool for PCa patients. METHODS: The hypoxia and immune scores of all PCa patients in The Cancer Genome Atlas (TCGA) dataset were calculated via the maximally selected rank statistics method and the ESTIMATE algorithm. From common genes identified overlapping hypoxia- and immune-related differentially expressed genes (DE-HRGs and DE-IRGs), a hypoxia- and immune-related gene risk signature was developed utilizing univariate and multivariate Cox regression analyses, and validated in the Memorial Sloan Kettering Cancer Centre (MSKCC) database. The immune cell infiltration level of PCa samples were evaluated with ssGSEA algorithm. Differential expression of prognostic genes was evidenced by immunohistochemistry and western blot (WB) in paired PCa samples. Expression levels of these genes and their variations under regular and hypoxic conditions were examined in cell lines. The functional effects of the prognostic gene on PCa cells were examined by wound healing and transwell assays. RESULTS: A hypoxia- and immune-related gene risk signature constructed by ISG15 and ZFP36 displays significant predictive potency, with higher risk score representing worse survival. A nomogram based on independent prognostic factors including the risk score and Gleason score exhibited excellent clinical value in the survival prediction of PCa. Infiltration levels of eosinophils, neutrophils, Tcm, Tem, TFH, Th1 cells, and Th17 cells were significantly lower in the high-risk group. Conversely, aDC, pDC, T helper cells, and Tregs were significantly higher. Additionally, the two prognostic genes were closely correlated with the tumor-infiltrating immune cell subset in PCa progression. RT-qPCR and WB presented higher and lower expression of ISG15 and ZFP36 in PCa cells, respectively. They were correspondingly increased and decreased in PCa cells under hypoxic conditions. Wound healing and transwell assays showed that over-expression of ISG15 promoted the migration and invasion of PCa cells. CONCLUSION: Our study identified a novel hypoxia- and immune-related gene signature, contributing a new perspective to the treatment of PCa SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03398-4.
format Online
Article
Text
id pubmed-9092714
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-90927142022-05-12 Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification Lyu, Fang Li, Yunxue Yan, Zhecheng He, Qingliu Cheng, Lulin Zhang, Pu Liu, Bing Liu, Chunyu Song, Yarong Xing, Yifei J Transl Med Research BACKGROUND: Prostatic cancer (PCa) is one of the most common malignant tumors in men worldwide. Emerging evidence indicates significance of hypoxia and immunity in PCa invasion and metastasis. This study aimed to develop a hypoxia- and immune-related gene risk signature and explore the molecular mechanisms to formulate a better prognostic tool for PCa patients. METHODS: The hypoxia and immune scores of all PCa patients in The Cancer Genome Atlas (TCGA) dataset were calculated via the maximally selected rank statistics method and the ESTIMATE algorithm. From common genes identified overlapping hypoxia- and immune-related differentially expressed genes (DE-HRGs and DE-IRGs), a hypoxia- and immune-related gene risk signature was developed utilizing univariate and multivariate Cox regression analyses, and validated in the Memorial Sloan Kettering Cancer Centre (MSKCC) database. The immune cell infiltration level of PCa samples were evaluated with ssGSEA algorithm. Differential expression of prognostic genes was evidenced by immunohistochemistry and western blot (WB) in paired PCa samples. Expression levels of these genes and their variations under regular and hypoxic conditions were examined in cell lines. The functional effects of the prognostic gene on PCa cells were examined by wound healing and transwell assays. RESULTS: A hypoxia- and immune-related gene risk signature constructed by ISG15 and ZFP36 displays significant predictive potency, with higher risk score representing worse survival. A nomogram based on independent prognostic factors including the risk score and Gleason score exhibited excellent clinical value in the survival prediction of PCa. Infiltration levels of eosinophils, neutrophils, Tcm, Tem, TFH, Th1 cells, and Th17 cells were significantly lower in the high-risk group. Conversely, aDC, pDC, T helper cells, and Tregs were significantly higher. Additionally, the two prognostic genes were closely correlated with the tumor-infiltrating immune cell subset in PCa progression. RT-qPCR and WB presented higher and lower expression of ISG15 and ZFP36 in PCa cells, respectively. They were correspondingly increased and decreased in PCa cells under hypoxic conditions. Wound healing and transwell assays showed that over-expression of ISG15 promoted the migration and invasion of PCa cells. CONCLUSION: Our study identified a novel hypoxia- and immune-related gene signature, contributing a new perspective to the treatment of PCa SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03398-4. BioMed Central 2022-05-10 /pmc/articles/PMC9092714/ /pubmed/35538543 http://dx.doi.org/10.1186/s12967-022-03398-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lyu, Fang
Li, Yunxue
Yan, Zhecheng
He, Qingliu
Cheng, Lulin
Zhang, Pu
Liu, Bing
Liu, Chunyu
Song, Yarong
Xing, Yifei
Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification
title Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification
title_full Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification
title_fullStr Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification
title_full_unstemmed Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification
title_short Identification of ISG15 and ZFP36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification
title_sort identification of isg15 and zfp36 as novel hypoxia- and immune-related gene signatures contributing to a new perspective for the treatment of prostate cancer by bioinformatics and experimental verification
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092714/
https://www.ncbi.nlm.nih.gov/pubmed/35538543
http://dx.doi.org/10.1186/s12967-022-03398-4
work_keys_str_mv AT lyufang identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT liyunxue identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT yanzhecheng identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT heqingliu identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT chenglulin identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT zhangpu identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT liubing identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT liuchunyu identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT songyarong identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification
AT xingyifei identificationofisg15andzfp36asnovelhypoxiaandimmunerelatedgenesignaturescontributingtoanewperspectiveforthetreatmentofprostatecancerbybioinformaticsandexperimentalverification