A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration
Background: Apoptosis-related genes (ARGs) were used to develop a novel signature for forecasting overall survival (OS) and examining their relationships with immune infiltrates in bladder cancer (BC). Methods: Gene expression matrices as well as related clinical data were acquired for BC samples fr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844022026317 |
| _version_ | 1798014455668277248 |
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| author | Yi Wang Hong Cheng Tengyue Zeng Shuqiu Chen Qianwei Xing Bingye Zhu |
| author_facet | Yi Wang Hong Cheng Tengyue Zeng Shuqiu Chen Qianwei Xing Bingye Zhu |
| author_sort | Yi Wang |
| collection | DOAJ |
| description | Background: Apoptosis-related genes (ARGs) were used to develop a novel signature for forecasting overall survival (OS) and examining their relationships with immune infiltrates in bladder cancer (BC). Methods: Gene expression matrices as well as related clinical data were acquired for BC samples from online datasets. According to differentially expressed ARGs acquired from normal bladder tissues and cancer samples, functional enrichment analyses were conducted. With the assistance of LASSO and Cox regression analysis, a novel model was successfully established and evaluated by external and internal validations. Results: Eventually, 17 ARGs (SLC5A6, GULP1, TAP1, MMP9, P4HB, FOXL2, CIDEC, EN2, NES, EPHA7, SUSD2, TMPRSS3, HOXB7, SATB1, MEST, PCDHGC3, ASPM) were utilized to construct the signature. Our constructed signature significantly distinguished high-risk from low-risk BC patients of OS by internal and external validations and was also proven to be able to serve as an independent prognostic biomarker (all P < 0.05). Furthermore, a prognostic nomogram was also constructed based on TCGA dataset to predict OS prognosis in BC suffers. Besides, this ARG based model was markedly associated with clinical characteristics like tumor stage (P = 3.98e−06), race (P = 8.255e−06), N stage (P = 0.002), T stage (P = 3.679e−05) and M stage (P = 0.002). As for immune infiltration, our established model was significantly associated with seven tumor-infiltrating immune cells. Conclusions: A prognostic signature was successfully developed by us according to 17 ARGs in BC using external and internal verifications, enabling clinicians to predict BC suffers' OS and promote specific individualization of patient care. |
| first_indexed | 2024-04-11T15:18:34Z |
| format | Article |
| id | doaj.art-d87e1d6d2a4f451ca07a79d38f26b08b |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-11T15:18:34Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-d87e1d6d2a4f451ca07a79d38f26b08b2022-12-22T04:16:26ZengElsevierHeliyon2405-84402022-11-01811e11343A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltrationYi Wang0Hong Cheng1Tengyue Zeng2Shuqiu Chen3Qianwei Xing4Bingye Zhu5Department of Urology, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu Province, ChinaDepartment of Urology, Zhongda Hospital Affiliated to Southeast University, Nanjing 210009, ChinaDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu Province, ChinaDepartment of Urology, Zhongda Hospital Affiliated to Southeast University, Nanjing 210009, ChinaDepartment of Urology, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu Province, China; Corresponding author.Department of Urology, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, 226001, Jiangsu Province, China; Corresponding author.Background: Apoptosis-related genes (ARGs) were used to develop a novel signature for forecasting overall survival (OS) and examining their relationships with immune infiltrates in bladder cancer (BC). Methods: Gene expression matrices as well as related clinical data were acquired for BC samples from online datasets. According to differentially expressed ARGs acquired from normal bladder tissues and cancer samples, functional enrichment analyses were conducted. With the assistance of LASSO and Cox regression analysis, a novel model was successfully established and evaluated by external and internal validations. Results: Eventually, 17 ARGs (SLC5A6, GULP1, TAP1, MMP9, P4HB, FOXL2, CIDEC, EN2, NES, EPHA7, SUSD2, TMPRSS3, HOXB7, SATB1, MEST, PCDHGC3, ASPM) were utilized to construct the signature. Our constructed signature significantly distinguished high-risk from low-risk BC patients of OS by internal and external validations and was also proven to be able to serve as an independent prognostic biomarker (all P < 0.05). Furthermore, a prognostic nomogram was also constructed based on TCGA dataset to predict OS prognosis in BC suffers. Besides, this ARG based model was markedly associated with clinical characteristics like tumor stage (P = 3.98e−06), race (P = 8.255e−06), N stage (P = 0.002), T stage (P = 3.679e−05) and M stage (P = 0.002). As for immune infiltration, our established model was significantly associated with seven tumor-infiltrating immune cells. Conclusions: A prognostic signature was successfully developed by us according to 17 ARGs in BC using external and internal verifications, enabling clinicians to predict BC suffers' OS and promote specific individualization of patient care.http://www.sciencedirect.com/science/article/pii/S2405844022026317Bladder cancerPrognosisSignatureOverall survivalApoptosis |
| spellingShingle | Yi Wang Hong Cheng Tengyue Zeng Shuqiu Chen Qianwei Xing Bingye Zhu A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration Heliyon Bladder cancer Prognosis Signature Overall survival Apoptosis |
| title | A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration |
| title_full | A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration |
| title_fullStr | A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration |
| title_full_unstemmed | A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration |
| title_short | A novel 17 apoptosis-related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration |
| title_sort | novel 17 apoptosis related genes signature could predict overall survival for bladder cancer and its associations with immune infiltration |
| topic | Bladder cancer Prognosis Signature Overall survival Apoptosis |
| url | http://www.sciencedirect.com/science/article/pii/S2405844022026317 |
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