Zeyi Lu
Sir Run Run Shaw Hospital, 3 Qingchun Road
Hangzhou, 310016, China
Hangzhou, 310016, China
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 34 publications
Correction: N6‑methyladenosine‑modified TRAF1 promotes sunitinib resistance by regulating apoptosis and angiogenesis in a METTL14‑dependent manner in renal cell carcinoma.
Journal: Molecular cancer
Published: March 03, 2026
ALYREF-mediated m5C modification of CCNA1 drives escape from cell-cycle arrest and contributes to pazopanib resistance in Renal Cell Carcinoma.
Journal: International journal of biological sciences
Published: January 13, 2026
Circular RNA-based therapy targeting metabolic vulnerability of fatty acid synthesis overcomes castration-resistant prostate cancer.
Journal: Proceedings of the National Academy of Sciences of the United States of America
Published: December 30, 2025
PUS1 Drives Renal Cancer Progression by Preventing Formation of Endogenous Double-stranded RNAs.
Journal: International journal of biological sciences
Published: December 18, 2025
Corrigendum to "circPHF16 suppresses prostate cancer metastasis via modulating miR-581/RNF128/Wnt/β-catenin pathway" [Cell Signal. 2023 Feb;102n110557].
Journal: Cellular signalling
Published: July 19, 2025
Machine learning studies for predicting 5-year renal cell cancer survival: a multicenter study.
Journal: Translational andrology and urology
Published: June 21, 2025
Heterogeneous Driving Effects Guide Personalized Tumor Treatments Targeting N6-Methyladenosine.
Journal: Cancer research
Published: November 09, 2024
piR-RCC Suppresses Renal Cell Carcinoma Progression by Facilitating YBX-1 Cytoplasm Localization.
Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published: November 05, 2024
Integrated machine learning reveals the role of tryptophan metabolism in clear cell renal cell carcinoma and its association with patient prognosis.
Journal: Biology direct
Published: October 07, 2024
Conditional survival analysis and real-time prognosis prediction for prostate cancer patients.
Journal: Scientific reports
Published: September 27, 2024
Integrated multi-omics analysis identifies a machine learning-derived signature for predicting prognosis and therapeutic vulnerability in clear cell renal cell carcinoma.
Journal: Life sciences
Published: July 31, 2024
Last Updated: 09/26/2026