Cargando…
Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma
BACKGROUND: Papillary renal cell carcinoma (PRCC) can be divided into type 1 (PRCC1) and type 2 (PRCC2) and PRCC2 share a more invasive phenotype and worse prognosis. This study aims to identify potential prognostic and therapeutic biomarkers in PRCC2. METHODS: A cohort from The Cancer Genome Atlas...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022194/ https://www.ncbi.nlm.nih.gov/pubmed/36927438 http://dx.doi.org/10.1186/s12957-022-02836-3 |
_version_ | 1784908676285333504 |
---|---|
author | Wang, Yue Tian, Xi Zhu, Shu-Xuan Xu, Wen-Hao Anwaier, Aihetaimujiang Su, Jia-Qi Gan, Hua-Lei Qu, Yuan-Yuan Zhao, Jian-Yuan Zhang, Hai-Liang Ye, Ding-Wei |
author_facet | Wang, Yue Tian, Xi Zhu, Shu-Xuan Xu, Wen-Hao Anwaier, Aihetaimujiang Su, Jia-Qi Gan, Hua-Lei Qu, Yuan-Yuan Zhao, Jian-Yuan Zhang, Hai-Liang Ye, Ding-Wei |
author_sort | Wang, Yue |
collection | PubMed |
description | BACKGROUND: Papillary renal cell carcinoma (PRCC) can be divided into type 1 (PRCC1) and type 2 (PRCC2) and PRCC2 share a more invasive phenotype and worse prognosis. This study aims to identify potential prognostic and therapeutic biomarkers in PRCC2. METHODS: A cohort from The Cancer Genome Atlas and two datasets from Gene Expression Omnibus were examined. Common differentially expressed genes (DEGs) were screened and potential biomarkers were explored by using Kaplan–Meier method and cox regression analysis. Functional enrichment analysis was utilized to evaluate the potential biological functions. Tumor infiltrating immune cells were estimated by CIBERSORT algorithm. Ninety-two PRCC2 samples from Fudan University Shanghai Cancer Center were obtained, and immunostaining was performed to validate prognostic and therapeutic significance of the potential biomarker. RESULTS: PRCC2 has worse overall survival and shares distinct molecular characteristics from PRCC1. There was significant higher expression level of Targeting protein for Xklp2 (TPX2) in PRCC2 compared with normal tissues. Higher expression level of TPX2 was significantly associated with worse overall survival in PRCC2 and kinesin family genes expression were found significantly elevated in high risk PRCC2. Abundance of tumor infiltrating M1 macrophage was significantly higher in PRCC2 and it was also associated with worse overall survival. In the FUSCC cohort, higher TPX2 expression was significantly correlated with worse overall and progression-free survival. Retrospective analysis indicated that mTOR inhibitor (everolimus) had greater efficacy in the high-risk group than in the low-risk group (overall response rate: 28.6% vs. 16.7%) and that everolimus had greater efficacy than sunitinib in the high-risk group (overall response rate: 28.6% vs. 20%). CONCLUSIONS: TPX2 was a prognostic and therapeutic biomarker in PRCC2. Higher abundance of tumor infiltrating M1 macrophage was significantly associated with worse overall survival in PRCC2. mTOR inhibitors may have good efficacy in patients with high-risk PRCC2. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02836-3. |
format | Online Article Text |
id | pubmed-10022194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100221942023-03-18 Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma Wang, Yue Tian, Xi Zhu, Shu-Xuan Xu, Wen-Hao Anwaier, Aihetaimujiang Su, Jia-Qi Gan, Hua-Lei Qu, Yuan-Yuan Zhao, Jian-Yuan Zhang, Hai-Liang Ye, Ding-Wei World J Surg Oncol Research BACKGROUND: Papillary renal cell carcinoma (PRCC) can be divided into type 1 (PRCC1) and type 2 (PRCC2) and PRCC2 share a more invasive phenotype and worse prognosis. This study aims to identify potential prognostic and therapeutic biomarkers in PRCC2. METHODS: A cohort from The Cancer Genome Atlas and two datasets from Gene Expression Omnibus were examined. Common differentially expressed genes (DEGs) were screened and potential biomarkers were explored by using Kaplan–Meier method and cox regression analysis. Functional enrichment analysis was utilized to evaluate the potential biological functions. Tumor infiltrating immune cells were estimated by CIBERSORT algorithm. Ninety-two PRCC2 samples from Fudan University Shanghai Cancer Center were obtained, and immunostaining was performed to validate prognostic and therapeutic significance of the potential biomarker. RESULTS: PRCC2 has worse overall survival and shares distinct molecular characteristics from PRCC1. There was significant higher expression level of Targeting protein for Xklp2 (TPX2) in PRCC2 compared with normal tissues. Higher expression level of TPX2 was significantly associated with worse overall survival in PRCC2 and kinesin family genes expression were found significantly elevated in high risk PRCC2. Abundance of tumor infiltrating M1 macrophage was significantly higher in PRCC2 and it was also associated with worse overall survival. In the FUSCC cohort, higher TPX2 expression was significantly correlated with worse overall and progression-free survival. Retrospective analysis indicated that mTOR inhibitor (everolimus) had greater efficacy in the high-risk group than in the low-risk group (overall response rate: 28.6% vs. 16.7%) and that everolimus had greater efficacy than sunitinib in the high-risk group (overall response rate: 28.6% vs. 20%). CONCLUSIONS: TPX2 was a prognostic and therapeutic biomarker in PRCC2. Higher abundance of tumor infiltrating M1 macrophage was significantly associated with worse overall survival in PRCC2. mTOR inhibitors may have good efficacy in patients with high-risk PRCC2. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-022-02836-3. BioMed Central 2023-03-16 /pmc/articles/PMC10022194/ /pubmed/36927438 http://dx.doi.org/10.1186/s12957-022-02836-3 Text en © The Author(s) 2023 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 Wang, Yue Tian, Xi Zhu, Shu-Xuan Xu, Wen-Hao Anwaier, Aihetaimujiang Su, Jia-Qi Gan, Hua-Lei Qu, Yuan-Yuan Zhao, Jian-Yuan Zhang, Hai-Liang Ye, Ding-Wei Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma |
title | Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma |
title_full | Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma |
title_fullStr | Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma |
title_full_unstemmed | Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma |
title_short | Identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma |
title_sort | identification of prognostic and therapeutic biomarkers in type 2 papillary renal cell carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022194/ https://www.ncbi.nlm.nih.gov/pubmed/36927438 http://dx.doi.org/10.1186/s12957-022-02836-3 |
work_keys_str_mv | AT wangyue identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT tianxi identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT zhushuxuan identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT xuwenhao identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT anwaieraihetaimujiang identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT sujiaqi identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT ganhualei identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT quyuanyuan identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT zhaojianyuan identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT zhanghailiang identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma AT yedingwei identificationofprognosticandtherapeuticbiomarkersintype2papillaryrenalcellcarcinoma |