Pyroptosis-Related Gene Signatures and Immune Modulation in Ovarian Cancer: Insights from Multi-Omics and Machine Learning
Rakesh Arya, Viplov Kumar Biswas, Hemlata Shakya, Jong-Joo Kim · 2026
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Description
Rakesh Arya, Viplov Kumar Biswas, Hemlata Shakya, and Jong-Joo Kim hunt for gene markers of ovarian cancer tied to pyroptosis, an inflammatory form of programmed cell death. Ovarian cancer is the deadliest gynecologic cancer, often found late and prone to resist therapy. The team combined gene expression data, immune profiling, network analysis, and machine learning to find markers that hold up across data sets.
Cancer samples showed fewer helper and killer T cells and several other immune cells than normal tissue. From over a thousand changed genes, 22 were tied to pyroptosis, and nine stood out as hub genes. Machine learning methods agreed on one core marker, CEP55, which separated cancer from normal tissue with high accuracy. Higher CEP55 levels also tracked with shorter survival. The authors propose CEP55 as a candidate for early detection and as a possible drug target linking cell division with immune control.
Catalog record
| CREATOR | Rakesh Arya, Viplov Kumar Biswas, Hemlata Shakya, Jong-Joo Kim |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |