Draft:Cancer Hallmarks Gene Set and Platform
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Comment: This is a duplicate submission of Draft:Cancer Hallmarks. cyberdog958Talk 02:18, 10 December 2025 (UTC)
Type of site | Bioinformatics platform |
|---|---|
| Owner | Semmelweis University; University of Pécs |
| Created by | Otilia Menyhart, William Jayasekara Kothalawala, Balázs Győrffy |
| URL | https://cancerhallmarks.com/ |
| Launched | 2024 |
Cancer Hallmarks Gene Set and Platform is a curated collection of cancer-related genes and an online bioinformatics tool used for gene set enrichment analysis across the hallmarks of cancer categories. The resource integrates multiple public data sources and peer-reviewed publications, providing statistical enrichment results and visual outputs for user-submitted gene lists. The platform is available through the website cancerhallmarks
Background
[edit]The concept of the hallmarks of cancer describes the key biological capabilities that enable tumor progression. This conceptual framework was originally published by Hanahan and Weinberg, and has been widely adopted in cancer biology. The Cancer Hallmarks Gene Set and Platform applies this concept in practice by creating a consensus list of hallmark-related genes and enabling functional enrichment analysis.
Gene set
[edit]The database contains 6,763 curated genes associated with hallmark processes. The gene set was assembled from:
- seven previous research projects,
- literature mining,
- Gene Ontology (GO) annotations,
- KEGG pathways,
- curated oncology sources,
- peer-reviewed publications.
Each gene is assigned to one or more hallmark categories based on biological function.
Online platform
[edit]The platform allows users to upload a gene list and perform hallmark-based enrichment analysis. The output includes:
- enrichment p-values,
- corrected p-values,
- radar / circular plots,
- hallmark category visualization.
The circular diagram displays the ten hallmark categories. Radial bars represent statistical significance (corrected p-values), and a dashed threshold line indicates p = 0.05. Colored bars above the threshold represent significant enrichment.
Scientific use
[edit]The resource has been used in:
- survival analysis,
- expression profiling,
- comparison across tumor types,
- biomarker discovery,
- hallmark-based clustering.
A poster presenting results was shown at SABCS 2024 under the title: Decoding breast cancer: unveiling the role of hallmark genes in tumor progression and prognosis.
Publications
[edit]- Menyhart O, Kothalawala WJ, Győrffy B. A gene set enrichment analysis for the cancer hallmarks. Journal of Pharmaceutical Analysis. 2025. doi:10.1016/j.jpha.2024.101065.
- SABCS 2024 poster: Decoding breast cancer: unveiling the role of hallmark genes in tumor progression and prognosis.
External links
[edit]- Official website
- cancerhallmarks
.com /faq – Platform FAQ and video
Category:Bioinformatics Category:Cancer research Category:Genomics Category:Genetic databases Category:Computational biology