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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...

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Autores principales: 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
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
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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.
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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
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