Cargando…
Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram
BACKGROUND: Some historic breakthroughs have been made in immunotherapy of advanced cancer. However, there is still little research on immunotherapy in prostate cancer. We explored the relationship between immune cell infiltration and prostate cancer recurrence and tried to provide new ideas for the...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892211/ https://www.ncbi.nlm.nih.gov/pubmed/31795990 http://dx.doi.org/10.1186/s12885-019-6391-9 |
_version_ | 1783475985030578176 |
---|---|
author | Rui, Xin Shao, Siliang Wang, Li Leng, Jiangyong |
author_facet | Rui, Xin Shao, Siliang Wang, Li Leng, Jiangyong |
author_sort | Rui, Xin |
collection | PubMed |
description | BACKGROUND: Some historic breakthroughs have been made in immunotherapy of advanced cancer. However, there is still little research on immunotherapy in prostate cancer. We explored the relationship between immune cell infiltration and prostate cancer recurrence and tried to provide new ideas for the treatment of prostate cancer. METHODS: Prostate cancer RNA-seq data and clinical information were downloaded from the TCGA database and GEO database. The infiltration of 24 immune cells in tissues was quantified by ssGSEA. Univariate Cox regression analysis was used to screen for immune cell types associated with tumor recurrence, weighted gene co-expression network analysis (WGCNA) and LASSO were used to identify hub genes which regulate prognosis in patients through immune infiltration. Then, the nomogram was constructed based on the hub gene to predict the recurrence of prostate cancer, and the decision curve analysis (DCA) was used to compare the accuracy with the PSA and Gleason prediction models. RESULT: Analysis showed that Th2 cells and Tcm related to prostate cancer recurrence after radical prostatectomy, and they are independent protective factors for recurrence. Through WGCNA and Lasso, we identified that NDUFA13, UQCR11, and USP34 involved in the infiltration of Th2 cells and Tcm in tumor tissues, and the expression of genes is related to the recurrence of patients. Based on the above findings, we constructed a clinical prediction model and mapped a nomogram, which has better sensitivity and specificity for prostate cancer recurrence prediction, and performed better in comparison with PSA and Gleason’s predictions. CONCLUSION: The immune cells Th2 cells and Tcm are associated with recurrence of PCa. Moreover, the genes NDUFA13, UQCR11, and USP34 may affect the recurrence of PCa by affecting the infiltration of Th2 cells and Tcm. Moreover, nomogram can make prediction effectively. |
format | Online Article Text |
id | pubmed-6892211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68922112019-12-11 Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram Rui, Xin Shao, Siliang Wang, Li Leng, Jiangyong BMC Cancer Research Article BACKGROUND: Some historic breakthroughs have been made in immunotherapy of advanced cancer. However, there is still little research on immunotherapy in prostate cancer. We explored the relationship between immune cell infiltration and prostate cancer recurrence and tried to provide new ideas for the treatment of prostate cancer. METHODS: Prostate cancer RNA-seq data and clinical information were downloaded from the TCGA database and GEO database. The infiltration of 24 immune cells in tissues was quantified by ssGSEA. Univariate Cox regression analysis was used to screen for immune cell types associated with tumor recurrence, weighted gene co-expression network analysis (WGCNA) and LASSO were used to identify hub genes which regulate prognosis in patients through immune infiltration. Then, the nomogram was constructed based on the hub gene to predict the recurrence of prostate cancer, and the decision curve analysis (DCA) was used to compare the accuracy with the PSA and Gleason prediction models. RESULT: Analysis showed that Th2 cells and Tcm related to prostate cancer recurrence after radical prostatectomy, and they are independent protective factors for recurrence. Through WGCNA and Lasso, we identified that NDUFA13, UQCR11, and USP34 involved in the infiltration of Th2 cells and Tcm in tumor tissues, and the expression of genes is related to the recurrence of patients. Based on the above findings, we constructed a clinical prediction model and mapped a nomogram, which has better sensitivity and specificity for prostate cancer recurrence prediction, and performed better in comparison with PSA and Gleason’s predictions. CONCLUSION: The immune cells Th2 cells and Tcm are associated with recurrence of PCa. Moreover, the genes NDUFA13, UQCR11, and USP34 may affect the recurrence of PCa by affecting the infiltration of Th2 cells and Tcm. Moreover, nomogram can make prediction effectively. BioMed Central 2019-12-03 /pmc/articles/PMC6892211/ /pubmed/31795990 http://dx.doi.org/10.1186/s12885-019-6391-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Rui, Xin Shao, Siliang Wang, Li Leng, Jiangyong Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram |
title | Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram |
title_full | Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram |
title_fullStr | Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram |
title_full_unstemmed | Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram |
title_short | Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram |
title_sort | identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892211/ https://www.ncbi.nlm.nih.gov/pubmed/31795990 http://dx.doi.org/10.1186/s12885-019-6391-9 |
work_keys_str_mv | AT ruixin identificationofrecurrencemarkerassociatedwithimmuneinfiltrationinprostatecancerwithradicalresectionandbuildprognosticnomogram AT shaosiliang identificationofrecurrencemarkerassociatedwithimmuneinfiltrationinprostatecancerwithradicalresectionandbuildprognosticnomogram AT wangli identificationofrecurrencemarkerassociatedwithimmuneinfiltrationinprostatecancerwithradicalresectionandbuildprognosticnomogram AT lengjiangyong identificationofrecurrencemarkerassociatedwithimmuneinfiltrationinprostatecancerwithradicalresectionandbuildprognosticnomogram |