Cargando…
The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients
BACKGROUND: Bladder cancer (BCa) shows its potential immunogenity in current immune-checkpoint inhibitor related immunotherapies. However, its therapeutic effects are improvable and could be affected by tumor immune microenvironment. Hence it is interesting to find some more prognostic indicators fo...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210750/ https://www.ncbi.nlm.nih.gov/pubmed/35725413 http://dx.doi.org/10.1186/s12885-022-09783-y |
_version_ | 1784730221917765632 |
---|---|
author | Jiang, Liren Chen, Siteng Pan, Qi Zheng, Jun He, Jin Sun, Juanjuan Han, Yaqin Yang, Jiji Zhang, Ning Fu, Guohui Gao, Feng |
author_facet | Jiang, Liren Chen, Siteng Pan, Qi Zheng, Jun He, Jin Sun, Juanjuan Han, Yaqin Yang, Jiji Zhang, Ning Fu, Guohui Gao, Feng |
author_sort | Jiang, Liren |
collection | PubMed |
description | BACKGROUND: Bladder cancer (BCa) shows its potential immunogenity in current immune-checkpoint inhibitor related immunotherapies. However, its therapeutic effects are improvable and could be affected by tumor immune microenvironment. Hence it is interesting to find some more prognostic indicators for BCa patients concerning immunotherapies. METHODS: In the present study, we retrospect 129 muscle-invasive BCa (MIBC) patients with radical cystectomy in Shanghai General Hospital during 2007 to 2018. Based on the results of proteomics sequencing from 9 pairs of MIBC tissue from Shanghai General Hospital, we focused on 13 immune-related differential expression proteins and their related genes. An immune-related prognostic signature (IRPS) was constructed according to Cancer Genome Atlas (TCGA) dataset. The IRPS was verified in ArrayExpress (E-MTAB-4321) cohort and Shanghai General Hospital (General) cohort, separately. A total of 1010 BCa patients were involved in the study, including 405 BCa patients in TCGA cohort, 476 BCa patients in E-MTAB-4321 cohort and 129 MIBC patients in General cohort. RESULT: It can be indicated that high IRPS score was related to poor 5-year overall survival and disease-free survival. The IRPS score was also evaluated its immune infiltration. We found that the IRPS score was adversely associated with GZMB, IFN-γ, PD-1, PD-L1. Additionally, higher IRPS score was significantly associated with more M2 macrophage and resting mast cell infiltration. CONCLUSION: The study revealed a novel BCa prognostic signature based on IRPS score, which may be useful for BCa immunotherapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09783-y. |
format | Online Article Text |
id | pubmed-9210750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92107502022-06-22 The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients Jiang, Liren Chen, Siteng Pan, Qi Zheng, Jun He, Jin Sun, Juanjuan Han, Yaqin Yang, Jiji Zhang, Ning Fu, Guohui Gao, Feng BMC Cancer Research BACKGROUND: Bladder cancer (BCa) shows its potential immunogenity in current immune-checkpoint inhibitor related immunotherapies. However, its therapeutic effects are improvable and could be affected by tumor immune microenvironment. Hence it is interesting to find some more prognostic indicators for BCa patients concerning immunotherapies. METHODS: In the present study, we retrospect 129 muscle-invasive BCa (MIBC) patients with radical cystectomy in Shanghai General Hospital during 2007 to 2018. Based on the results of proteomics sequencing from 9 pairs of MIBC tissue from Shanghai General Hospital, we focused on 13 immune-related differential expression proteins and their related genes. An immune-related prognostic signature (IRPS) was constructed according to Cancer Genome Atlas (TCGA) dataset. The IRPS was verified in ArrayExpress (E-MTAB-4321) cohort and Shanghai General Hospital (General) cohort, separately. A total of 1010 BCa patients were involved in the study, including 405 BCa patients in TCGA cohort, 476 BCa patients in E-MTAB-4321 cohort and 129 MIBC patients in General cohort. RESULT: It can be indicated that high IRPS score was related to poor 5-year overall survival and disease-free survival. The IRPS score was also evaluated its immune infiltration. We found that the IRPS score was adversely associated with GZMB, IFN-γ, PD-1, PD-L1. Additionally, higher IRPS score was significantly associated with more M2 macrophage and resting mast cell infiltration. CONCLUSION: The study revealed a novel BCa prognostic signature based on IRPS score, which may be useful for BCa immunotherapies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09783-y. BioMed Central 2022-06-20 /pmc/articles/PMC9210750/ /pubmed/35725413 http://dx.doi.org/10.1186/s12885-022-09783-y 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 Jiang, Liren Chen, Siteng Pan, Qi Zheng, Jun He, Jin Sun, Juanjuan Han, Yaqin Yang, Jiji Zhang, Ning Fu, Guohui Gao, Feng The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients |
title | The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients |
title_full | The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients |
title_fullStr | The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients |
title_full_unstemmed | The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients |
title_short | The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients |
title_sort | feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210750/ https://www.ncbi.nlm.nih.gov/pubmed/35725413 http://dx.doi.org/10.1186/s12885-022-09783-y |
work_keys_str_mv | AT jiangliren thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT chensiteng thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT panqi thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT zhengjun thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT hejin thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT sunjuanjuan thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT hanyaqin thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT yangjiji thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT zhangning thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT fuguohui thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT gaofeng thefeasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT jiangliren feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT chensiteng feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT panqi feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT zhengjun feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT hejin feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT sunjuanjuan feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT hanyaqin feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT yangjiji feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT zhangning feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT fuguohui feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients AT gaofeng feasibilityofproteomicssequencingbasedimmunerelatedprognosticsignatureforpredictingclinicaloutcomesofbladdercancerpatients |