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Transcriptomics- and machine learning-based identification and mechanistic in vitro validation of a cardiovascular risk gene signature at the CKD–cancer intersection: a multi-omics approach

Key takeaways

This study uses computer tools to look at genes in people with both kidney disease and cancer. It is a complex lab study. There is no abstract, so we do not have the results yet.

Who did this work

Lin C (Department of Nephrology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University , , ,) · Shao S (Department of Nephrology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University , , ,) · Xia M (Hemodialysis Department, Wenzhou Geriatric Hospital , , ,) · Lu S (Hemodialysis Department, Wenzhou Geriatric Hospital , , ,)

Source

Article · Europe PMC, CKD · 2026-09-29
https://europepmc.org/article/PMC/PMC13616729