Epigenomics-Guided Multi-Omics Integration Uncovers a Lipid-Metabolic Signature with Translational Utility in Bladder Cancer
Yu-De Wang, Yo-Liang Lai, Chia-Hsin Liu, Yu-Ting Su, Pei-Chun Shen, Fang-Hsin Chen, Chia-Yang Li, Shu-Chi Wang, Wen-Lung Ma, Chi-Ping Huang, Wei-Chung Cheng · 2026
Read Epigenomics-Guided Multi-Omics Integration Uncovers a Lipid-Metabolic Signature with Translational Utility in Bladder Cancer by Yu-De Wang, Yo-Liang Lai, Chia-Hsin Liu, Yu-Ting Su, Pei-Chun Shen, Fang-Hsin Chen, Chia-Yang Li, Shu-Chi Wang, Wen-Lung Ma, Chi-Ping Huang, Wei-Chung Cheng (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13396492.txt.
Description
Yu-De Wang and co-authors combined DNA methylation maps with gene activity data to build a prognostic signature for bladder cancer, in a 2026 study. Bladder tumors vary widely, and current groupings tell doctors little about who will fare badly or which treatment fits.
Matching tumor samples with nearby normal tissue, the team kept genes whose methylation and activity changed together. A survival-focused learning method then distilled them into a 25-gene signature tied to fat metabolism. The score was checked in four separate patient cohorts. Further layers of analysis probed how the signature relates to tumor surroundings and drug response, aiming at a tool with real clinical use.
Catalog record
| CREATOR | Yu-De Wang, Yo-Liang Lai, Chia-Hsin Liu, Yu-Ting Su, Pei-Chun Shen, Fang-Hsin Chen, Chia-Yang Li, Shu-Chi Wang, Wen-Lung Ma, Chi-Ping Huang, Wei-Chung Cheng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53574 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |