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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

Researchers used computer analysis of gene activity data to find a group of genes tied to heart risk in people who have both kidney disease and cancer. They then checked some of the findings in cells in the lab. It was done with data and cells, not tested in people yet. No abstract was available, so we could not check the details.

Who did this work

Chongze Lin (Zhejiang Chinese Medical University) · Sisi Shao (Zhejiang Chinese Medical University) · Meizi Xia (Wenzhou City People's Hospital) · Shourong Lu (Wenzhou City People's Hospital)

Source

Paper · OpenAlex, CKD works · 2026-09-14
https://doi.org/10.3389/fcvm.2026.1915820