Cargando…

Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers

Epidemiological studies have shown that air pollution and particulate matter (PM) are closely related to the occurrence of cancer. However, the potential prognostic and immunological biomarkers for air pollution related cancers are lacking. In this study, we proved PM2.5 exposure was correlated with...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Dong, Liu, Jiliu, Wang, Junyi, Zhang, Lei, Jiang, Manling, Liu, Yao, Xiong, Ying, He, Xiang, Li, Guoping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852732/
https://www.ncbi.nlm.nih.gov/pubmed/36685853
http://dx.doi.org/10.3389/fgene.2022.1077615
_version_ 1784872717641580544
author Zhu, Dong
Liu, Jiliu
Wang, Junyi
Zhang, Lei
Jiang, Manling
Liu, Yao
Xiong, Ying
He, Xiang
Li, Guoping
author_facet Zhu, Dong
Liu, Jiliu
Wang, Junyi
Zhang, Lei
Jiang, Manling
Liu, Yao
Xiong, Ying
He, Xiang
Li, Guoping
author_sort Zhu, Dong
collection PubMed
description Epidemiological studies have shown that air pollution and particulate matter (PM) are closely related to the occurrence of cancer. However, the potential prognostic and immunological biomarkers for air pollution related cancers are lacking. In this study, we proved PM2.5 exposure was correlated with lung cancer through transcriptome analysis. Importantly, we identified STC2 as a key gene regulated by PM2.5, whose expression in epithelial cells was significantly increased after PM2.5 treatment and validated by using RT-qPCR and immunofluorescence. Kaplan-Meier OS curves suggested that high STC2 expression positively correlated with a poor prognosis in lung cancer. Furthermore, we discovered that STC2 was associated with multiple cancers and pathways in cancer. Next, Pan-Cancer Expression Landscape of STC2 showed that STC2 exhibited inconsistent expression across 26 types of human cancer, lower in KIRP in cancer versus adjacent normal tissues, and significantly higher in another cancers. Cox regression results suggested that STC2 expression was positively or negatively associated with prognosis in different cancers. Moreover, STC2 expression was associated with clinical phenotypes including age, gender, stage and grade. Mutation features of STC2 were also analyzed, in which the highest alteration frequency of STC2 was presented in KIRC with amplification. Meanwhile, the effects of copy number variation (CNV) on STC2 expression were investigated across various tumor types, suggesting that STC2 expression was significantly correlated with CNV in tumors. Additionally, STC2 was closely related to tumor heterogeneity, tumor stemness and tumor immune microenvironment like immune cell infiltration. In the meantime, we analyzed methylation modifications and immunological correlation of STC2. The results demonstrated that STC2 expression positively correlated with most RNA methylation genes and immunomodulators across tumors. Taken together, the findings revealed that PM2.5-induced STC2 might be a potential prognostic and immunological biomarker for cancers related to air pollution.
format Online
Article
Text
id pubmed-9852732
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-98527322023-01-21 Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers Zhu, Dong Liu, Jiliu Wang, Junyi Zhang, Lei Jiang, Manling Liu, Yao Xiong, Ying He, Xiang Li, Guoping Front Genet Genetics Epidemiological studies have shown that air pollution and particulate matter (PM) are closely related to the occurrence of cancer. However, the potential prognostic and immunological biomarkers for air pollution related cancers are lacking. In this study, we proved PM2.5 exposure was correlated with lung cancer through transcriptome analysis. Importantly, we identified STC2 as a key gene regulated by PM2.5, whose expression in epithelial cells was significantly increased after PM2.5 treatment and validated by using RT-qPCR and immunofluorescence. Kaplan-Meier OS curves suggested that high STC2 expression positively correlated with a poor prognosis in lung cancer. Furthermore, we discovered that STC2 was associated with multiple cancers and pathways in cancer. Next, Pan-Cancer Expression Landscape of STC2 showed that STC2 exhibited inconsistent expression across 26 types of human cancer, lower in KIRP in cancer versus adjacent normal tissues, and significantly higher in another cancers. Cox regression results suggested that STC2 expression was positively or negatively associated with prognosis in different cancers. Moreover, STC2 expression was associated with clinical phenotypes including age, gender, stage and grade. Mutation features of STC2 were also analyzed, in which the highest alteration frequency of STC2 was presented in KIRC with amplification. Meanwhile, the effects of copy number variation (CNV) on STC2 expression were investigated across various tumor types, suggesting that STC2 expression was significantly correlated with CNV in tumors. Additionally, STC2 was closely related to tumor heterogeneity, tumor stemness and tumor immune microenvironment like immune cell infiltration. In the meantime, we analyzed methylation modifications and immunological correlation of STC2. The results demonstrated that STC2 expression positively correlated with most RNA methylation genes and immunomodulators across tumors. Taken together, the findings revealed that PM2.5-induced STC2 might be a potential prognostic and immunological biomarker for cancers related to air pollution. Frontiers Media S.A. 2023-01-06 /pmc/articles/PMC9852732/ /pubmed/36685853 http://dx.doi.org/10.3389/fgene.2022.1077615 Text en Copyright © 2023 Zhu, Liu, Wang, Zhang, Jiang, Liu, Xiong, He and Li. 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 Genetics
Zhu, Dong
Liu, Jiliu
Wang, Junyi
Zhang, Lei
Jiang, Manling
Liu, Yao
Xiong, Ying
He, Xiang
Li, Guoping
Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers
title Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers
title_full Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers
title_fullStr Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers
title_full_unstemmed Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers
title_short Transcriptome and pan-cancer system analysis identify PM2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers
title_sort transcriptome and pan-cancer system analysis identify pm2.5-induced stanniocalcin 2 as a potential prognostic and immunological biomarker for cancers
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852732/
https://www.ncbi.nlm.nih.gov/pubmed/36685853
http://dx.doi.org/10.3389/fgene.2022.1077615
work_keys_str_mv AT zhudong transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers
AT liujiliu transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers
AT wangjunyi transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers
AT zhanglei transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers
AT jiangmanling transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers
AT liuyao transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers
AT xiongying transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers
AT hexiang transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers
AT liguoping transcriptomeandpancancersystemanalysisidentifypm25inducedstanniocalcin2asapotentialprognosticandimmunologicalbiomarkerforcancers