Identification of lncRNAs in Breast Cancer Through Bioinformatics Analysis: Implications for Pathogenesis and Prognostic Significance
Yuhan Zheng, Xinggui Chen, Xuan Liu, Yijin Zhou, Pei Yang, Shuhui Li · 2026
Read Identification of lncRNAs in Breast Cancer Through Bioinformatics Analysis: Implications for Pathogenesis and Prognostic Significance by Yuhan Zheng, Xinggui Chen, Xuan Liu, Yijin Zhou, Pei Yang, Shuhui Li (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/pmc-13598302.txt.
Description
Yuhan Zheng and co-authors mine breast cancer data sets for long non coding RNAs that might flag patient outlook, in work from twenty twenty-six. These RNA strands do not build proteins but steer gene activity. The cancer often starts quietly and is caught late.
Network methods grouped the RNAs by how they move with immune cells and tumor traits. One chain stood out: a long RNA, a small RNA, and a target gene tied to survival. Lab checks found the long RNA and the target gene raised in breast cancer cells. The small RNA shifted in mixed directions across cell lines. Immune cell mixes also differed between tumor and control samples. The chain is proposed as a prognostic lead.
Catalog record
| CREATOR | Yuhan Zheng, Xinggui Chen, Xuan Liu, Yijin Zhou, Pei Yang, Shuhui Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |