Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma

Background. Immunotherapy shows promise in treating cancer by leveraging the immune system to combat cancer cells. However, the influence of crotonylation metabolism on the prognosis and tumor environment in ccRCC patients is not fully understood. Methods. We conducted various systematic analyses, i...

Full description

Bibliographic Details
Main Authors: Jie Zheng, Yingqing Liu, Kai Wei, Jiewu Shi, Lin Li, Xuefeng Jiang, Lingsong Tao
Format: Article
Language:English
Published: Hindawi-Wiley 2023-01-01
Series:International Journal of Clinical Practice
Online Access:http://dx.doi.org/10.1155/2023/5558034
_version_ 1797403712938835968
author Jie Zheng
Yingqing Liu
Kai Wei
Jiewu Shi
Lin Li
Xuefeng Jiang
Lingsong Tao
author_facet Jie Zheng
Yingqing Liu
Kai Wei
Jiewu Shi
Lin Li
Xuefeng Jiang
Lingsong Tao
author_sort Jie Zheng
collection DOAJ
description Background. Immunotherapy shows promise in treating cancer by leveraging the immune system to combat cancer cells. However, the influence of crotonylation metabolism on the prognosis and tumor environment in ccRCC patients is not fully understood. Methods. We conducted various systematic analyses, including prognosis and cluster analyses, to investigate the role of KAT2A in immunotherapy. We used qRT-PCR to compare KAT2A expression in cancer and adjacent tissues and among different cell lines. Additionally, we employed Cell Counting Kit-8, wound healing, and Transwell chamber assays to assess changes in the proliferative and metastatic ability of A498 and 786-O cells. Results. We identified three clusters related to crotonylation metabolism, each with distinct prognosis and immune characteristics in ccRCC. We categorized CT1 as immune-inflamed, CT2 as immune-excluded, and CR3 as immune-desert. A new system, CRS, emerged as an effective predictor of patient outcomes with differing immune characteristics. Moreover, qRT-PCR revealed elevated KAT2A levels in ccRCC tissues and cell lines. KAT2A was found to promote ccRCC and correlate significantly with immunosuppressive elements and checkpoints. Reducing KAT2A expression hindered ccRCC cell growth and metastasis. Conclusion. Our study highlights the critical role of crotonylation metabolism in cancer development and progression, particularly its link to poor prognosis. CRS proves to be an accurate predictor of patient outcomes and immune features in ccRCC. KAT2A shows strong associations with clinical factors and the immunosuppressive environment, suggesting potential for innovative immunotherapies in ccRCC treatment.
first_indexed 2024-03-09T02:43:23Z
format Article
id doaj.art-808fc5fe59174c179aa3b0caed6a5d81
institution Directory Open Access Journal
issn 1742-1241
language English
last_indexed 2024-03-09T02:43:23Z
publishDate 2023-01-01
publisher Hindawi-Wiley
record_format Article
series International Journal of Clinical Practice
spelling doaj.art-808fc5fe59174c179aa3b0caed6a5d812023-12-06T00:00:04ZengHindawi-WileyInternational Journal of Clinical Practice1742-12412023-01-01202310.1155/2023/5558034Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell CarcinomaJie Zheng0Yingqing Liu1Kai Wei2Jiewu Shi3Lin Li4Xuefeng Jiang5Lingsong Tao6Department of UrologyDepartment of UrologyDepartment of UrologyDepartment of UrologyDepartment of UrologyDepartment of UrologyDepartment of UrologyBackground. Immunotherapy shows promise in treating cancer by leveraging the immune system to combat cancer cells. However, the influence of crotonylation metabolism on the prognosis and tumor environment in ccRCC patients is not fully understood. Methods. We conducted various systematic analyses, including prognosis and cluster analyses, to investigate the role of KAT2A in immunotherapy. We used qRT-PCR to compare KAT2A expression in cancer and adjacent tissues and among different cell lines. Additionally, we employed Cell Counting Kit-8, wound healing, and Transwell chamber assays to assess changes in the proliferative and metastatic ability of A498 and 786-O cells. Results. We identified three clusters related to crotonylation metabolism, each with distinct prognosis and immune characteristics in ccRCC. We categorized CT1 as immune-inflamed, CT2 as immune-excluded, and CR3 as immune-desert. A new system, CRS, emerged as an effective predictor of patient outcomes with differing immune characteristics. Moreover, qRT-PCR revealed elevated KAT2A levels in ccRCC tissues and cell lines. KAT2A was found to promote ccRCC and correlate significantly with immunosuppressive elements and checkpoints. Reducing KAT2A expression hindered ccRCC cell growth and metastasis. Conclusion. Our study highlights the critical role of crotonylation metabolism in cancer development and progression, particularly its link to poor prognosis. CRS proves to be an accurate predictor of patient outcomes and immune features in ccRCC. KAT2A shows strong associations with clinical factors and the immunosuppressive environment, suggesting potential for innovative immunotherapies in ccRCC treatment.http://dx.doi.org/10.1155/2023/5558034
spellingShingle Jie Zheng
Yingqing Liu
Kai Wei
Jiewu Shi
Lin Li
Xuefeng Jiang
Lingsong Tao
Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma
International Journal of Clinical Practice
title Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma
title_full Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma
title_fullStr Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma
title_full_unstemmed Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma
title_short Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma
title_sort identification of crotonylation metabolism signature predicting overall survival for clear cell renal cell carcinoma
url http://dx.doi.org/10.1155/2023/5558034
work_keys_str_mv AT jiezheng identificationofcrotonylationmetabolismsignaturepredictingoverallsurvivalforclearcellrenalcellcarcinoma
AT yingqingliu identificationofcrotonylationmetabolismsignaturepredictingoverallsurvivalforclearcellrenalcellcarcinoma
AT kaiwei identificationofcrotonylationmetabolismsignaturepredictingoverallsurvivalforclearcellrenalcellcarcinoma
AT jiewushi identificationofcrotonylationmetabolismsignaturepredictingoverallsurvivalforclearcellrenalcellcarcinoma
AT linli identificationofcrotonylationmetabolismsignaturepredictingoverallsurvivalforclearcellrenalcellcarcinoma
AT xuefengjiang identificationofcrotonylationmetabolismsignaturepredictingoverallsurvivalforclearcellrenalcellcarcinoma
AT lingsongtao identificationofcrotonylationmetabolismsignaturepredictingoverallsurvivalforclearcellrenalcellcarcinoma