Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell Carcinoma
Background: Alternative polyadenylation (APA) plays a vital regulatory role in various diseases. It is widely accepted that APA is regulated by APA regulatory factors. Objective: Whether APA regulatory factors affect the prognosis of renal cell carcinoma remains unclear, and this is the main topic o...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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SAGE Publishing
2024-04-01
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Series: | Cancer Informatics |
Online Access: | https://doi.org/10.1177/11769351231180789 |
_version_ | 1797209878460104704 |
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author | Xiaoyu Wang Yao Lin Zheng Li Yueqi Li Mingcong Chen |
author_facet | Xiaoyu Wang Yao Lin Zheng Li Yueqi Li Mingcong Chen |
author_sort | Xiaoyu Wang |
collection | DOAJ |
description | Background: Alternative polyadenylation (APA) plays a vital regulatory role in various diseases. It is widely accepted that APA is regulated by APA regulatory factors. Objective: Whether APA regulatory factors affect the prognosis of renal cell carcinoma remains unclear, and this is the main topic of this study. Methods: We downloaded the transcriptome and clinical data from The Cancer Genome Atlas (TCGA) database. We used the Lasso regression system to construct an APA model for analyzing the relationship between common APA regulatory factors and renal cell carcinoma. We also validated our APA model using independent GEO datasets (GSE29609, GSE76207). Results: It was found that the expression levels of 5 APA regulatory factors (CPSF1, CPSF2, CSTF2, PABPC1, and PABPC4) were significantly associated with tumor gene mutation burden (TMB) score in renal clear cell carcinoma, and the risk score constructed using the expression level of 5 key APA regulatory factors could be used to predict the outcome of renal clear cell carcinoma. The TMB score is associated with the remodeling of the immune microenvironment. Conclusions: By identifying key APA regulatory factors in renal cell carcinoma and constructing risk scores for key APA regulatory factors, we showed that key APA regulators affect prognosis of renal clear cell carcinoma patients. In addition, the risk score level is associated with TMB, indicating that APA may affect the efficacy of immunotherapy through immune microenvironment-related genes. This helps us better understand the mRNA processing mechanism of renal clear cell carcinoma. |
first_indexed | 2024-04-24T10:01:42Z |
format | Article |
id | doaj.art-252be52cd78c4e6d92e8f94fbde64897 |
institution | Directory Open Access Journal |
issn | 1176-9351 |
language | English |
last_indexed | 2024-04-24T10:01:42Z |
publishDate | 2024-04-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Cancer Informatics |
spelling | doaj.art-252be52cd78c4e6d92e8f94fbde648972024-04-13T09:03:42ZengSAGE PublishingCancer Informatics1176-93512024-04-012310.1177/11769351231180789Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell CarcinomaXiaoyu Wang0Yao Lin1Zheng Li2Yueqi Li3Mingcong Chen4Biosafety Level-3 Laboratory, Life Sciences Institute & Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, ChinaBiosafety Level-3 Laboratory, Life Sciences Institute & Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, ChinaBiosafety Level-3 Laboratory, Life Sciences Institute & Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, ChinaBiosafety Level-3 Laboratory, Life Sciences Institute & Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Medical University, Nanning, Guangxi, ChinaDepartment of Orthopedics and Traumatology, Shenzhen University General Hospital, Shenzhen, ChinaBackground: Alternative polyadenylation (APA) plays a vital regulatory role in various diseases. It is widely accepted that APA is regulated by APA regulatory factors. Objective: Whether APA regulatory factors affect the prognosis of renal cell carcinoma remains unclear, and this is the main topic of this study. Methods: We downloaded the transcriptome and clinical data from The Cancer Genome Atlas (TCGA) database. We used the Lasso regression system to construct an APA model for analyzing the relationship between common APA regulatory factors and renal cell carcinoma. We also validated our APA model using independent GEO datasets (GSE29609, GSE76207). Results: It was found that the expression levels of 5 APA regulatory factors (CPSF1, CPSF2, CSTF2, PABPC1, and PABPC4) were significantly associated with tumor gene mutation burden (TMB) score in renal clear cell carcinoma, and the risk score constructed using the expression level of 5 key APA regulatory factors could be used to predict the outcome of renal clear cell carcinoma. The TMB score is associated with the remodeling of the immune microenvironment. Conclusions: By identifying key APA regulatory factors in renal cell carcinoma and constructing risk scores for key APA regulatory factors, we showed that key APA regulators affect prognosis of renal clear cell carcinoma patients. In addition, the risk score level is associated with TMB, indicating that APA may affect the efficacy of immunotherapy through immune microenvironment-related genes. This helps us better understand the mRNA processing mechanism of renal clear cell carcinoma.https://doi.org/10.1177/11769351231180789 |
spellingShingle | Xiaoyu Wang Yao Lin Zheng Li Yueqi Li Mingcong Chen Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell Carcinoma Cancer Informatics |
title | Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell Carcinoma |
title_full | Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell Carcinoma |
title_fullStr | Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell Carcinoma |
title_full_unstemmed | Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell Carcinoma |
title_short | Alternative Polyadenylation Regulatory Factors Signature for Survival Prediction in Kidney Renal Cell Carcinoma |
title_sort | alternative polyadenylation regulatory factors signature for survival prediction in kidney renal cell carcinoma |
url | https://doi.org/10.1177/11769351231180789 |
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