DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups
Abstract Background Bladder cancer (BCA) is the most common urinary tumor, but its pathogenesis is unclear, and the associated treatment strategy has rarely been updated. In recent years, a deeper understanding of tumor epigenetics has been gained, providing new opportunities for cancer detection an...
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| Format: | Article |
| Language: | English |
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BMC
2020-06-01
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| Series: | Cancer Cell International |
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| Online Access: | http://link.springer.com/article/10.1186/s12935-020-01345-1 |
| _version_ | 1828870123395481600 |
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| author | Zijian Tian Lingfeng Meng Xingbo Long Tongxiang Diao Maolin Hu Miao Wang Ming Liu Jianye Wang |
| author_facet | Zijian Tian Lingfeng Meng Xingbo Long Tongxiang Diao Maolin Hu Miao Wang Ming Liu Jianye Wang |
| author_sort | Zijian Tian |
| collection | DOAJ |
| description | Abstract Background Bladder cancer (BCA) is the most common urinary tumor, but its pathogenesis is unclear, and the associated treatment strategy has rarely been updated. In recent years, a deeper understanding of tumor epigenetics has been gained, providing new opportunities for cancer detection and treatment. Methods We identified prognostic methylation sites based on DNA methylation profiles of BCA in the TCGA database and constructed a specific prognostic subgroup. Results Based on the consistent clustering of 402 CpGs, we identified seven subgroups that had a significant association with survival. The difference in DNA methylation levels was related to T stage, N stage, M stage, grade, sex, age, stage and prognosis. Finally, the prediction model was constructed using a Cox regression model and verified using the test dataset; the prognosis was consistent with that of the training set. Conclusions The classification based on DNA methylation is closely related to the clinicopathological characteristics of BCA and determines the prognostic value of each epigenetic subtype. Therefore, our findings provide a basis for the development of DNA methylation subtype-specific therapeutic strategies for human bladder cancer. |
| first_indexed | 2024-12-13T06:05:49Z |
| format | Article |
| id | doaj.art-85fc283777d1435e9d25b0fec072bc73 |
| institution | Directory Open Access Journal |
| issn | 1475-2867 |
| language | English |
| last_indexed | 2024-12-13T06:05:49Z |
| publishDate | 2020-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Cell International |
| spelling | doaj.art-85fc283777d1435e9d25b0fec072bc732022-12-21T23:57:14ZengBMCCancer Cell International1475-28672020-06-0120111110.1186/s12935-020-01345-1DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroupsZijian Tian0Lingfeng Meng1Xingbo Long2Tongxiang Diao3Maolin Hu4Miao Wang5Ming Liu6Jianye Wang7Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical SciencesDepartment of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical SciencesDepartment of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical SciencesDepartment of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical SciencesDepartment of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical SciencesDepartment of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical SciencesDepartment of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical SciencesDepartment of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical SciencesAbstract Background Bladder cancer (BCA) is the most common urinary tumor, but its pathogenesis is unclear, and the associated treatment strategy has rarely been updated. In recent years, a deeper understanding of tumor epigenetics has been gained, providing new opportunities for cancer detection and treatment. Methods We identified prognostic methylation sites based on DNA methylation profiles of BCA in the TCGA database and constructed a specific prognostic subgroup. Results Based on the consistent clustering of 402 CpGs, we identified seven subgroups that had a significant association with survival. The difference in DNA methylation levels was related to T stage, N stage, M stage, grade, sex, age, stage and prognosis. Finally, the prediction model was constructed using a Cox regression model and verified using the test dataset; the prognosis was consistent with that of the training set. Conclusions The classification based on DNA methylation is closely related to the clinicopathological characteristics of BCA and determines the prognostic value of each epigenetic subtype. Therefore, our findings provide a basis for the development of DNA methylation subtype-specific therapeutic strategies for human bladder cancer.http://link.springer.com/article/10.1186/s12935-020-01345-1DNA MethylationUrinary bladder neoplasmsEpigeneticsCluster analysis |
| spellingShingle | Zijian Tian Lingfeng Meng Xingbo Long Tongxiang Diao Maolin Hu Miao Wang Ming Liu Jianye Wang DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups Cancer Cell International DNA Methylation Urinary bladder neoplasms Epigenetics Cluster analysis |
| title | DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups |
| title_full | DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups |
| title_fullStr | DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups |
| title_full_unstemmed | DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups |
| title_short | DNA methylation-based classification and identification of bladder cancer prognosis-associated subgroups |
| title_sort | dna methylation based classification and identification of bladder cancer prognosis associated subgroups |
| topic | DNA Methylation Urinary bladder neoplasms Epigenetics Cluster analysis |
| url | http://link.springer.com/article/10.1186/s12935-020-01345-1 |
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