Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis
Saved in:
| Main Authors: | Mouyuan Sun, Zhan Yang, Yaxian Luo, Luying Qin, Lianjie Peng, Chaoran Pan, Jiatao Yan, Tao Qiu, Yan Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Chemical Society
2025-06-01
|
| Series: | ACS Omega |
| Online Access: | https://doi.org/10.1021/acsomega.5c01337 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating Multiomics and Machine Learning: Senescence-Regulated ALMS1-IT1/miR-7c-5p/HMGA2 Axis as a Novel Therapeutic Target for Head and Neck Squamous Cell Carcinoma
by: Yongwu Zhu, et al.
Published: (2025-07-01) -
Expression of hsa-let-7b-5p, hsa-let-7f-5p, and hsa-miR-222-3p and their putative targets HMGA2 and CDKN1B in typical and atypical carcinoid tumors of the lung
by: Pietro Di Fazio, et al.
Published: (2017-10-01) -
Hsa_circ_0059511 promote glioma cell proliferation and migration through hsa-miR-194-5p/HBEGF axis
by: Yajun Jing, et al.
Published: (2025-06-01) -
Integrated Multiomics Analysis and Machine Learning Approaches in Bladder Cancer: Unveiling the Impact of Immunogenic Cell Death and Its Key Gene SLC2A3 on Prognosis and Personalized Treatment Strategies
by: Mouyuan Sun, et al.
Published: (2025-06-01) -
Endogenous peptide CBDP1 inhibits clear cell renal cell carcinoma progression by targeting USP5/YTHDF2/TRPM5 axis
by: Yang Zhang, et al.
Published: (2025-01-01)