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Submission declined on 9 December 2025 by Cyberdog958 (talk). This draft appears to be a duplicate of an existing article. Wikipedia does not permit multiple articles on the same topic. To improve the existing article, please edit it directly at The Hallmarks of Cancer. If the article is protected and you cannot edit it, propose your changes on the article's talk page. If you are writing about a different subject with the same name, ask the reviewer to rename your draft to distinguish it. Declined by Cyberdog958 5 months ago.

Cancer Hallmarks is a curated gene set and an online bioinformatics platform based on multiple peer-reviewed publications.^[1] The resource provides a consensus list of genes associated with the fundamental biological processes known as the hallmarks of cancer and enables functional enrichment analysis of user-submitted gene lists.

The concept of the hallmarks of cancer was introduced by Hanahan and Weinberg and describes essential cellular capabilities required for tumor initiation and progression.^[2] The Cancer Hallmarks platform integrates data from multiple studies, Gene Ontology (GO), KEGG pathways and curated oncological sources into a unified gene set.

The dataset includes 6,763 genes identified from seven previous research projects, literature mining, and functional annotations using GO and KEGG terms. The platform links each gene to one or more hallmark processes.

The platform is structured around ten hallmark categories:

• Sustaining proliferative signaling
• Evading growth suppressors
• Resisting cell death
• Enabling replicative immortality
• Inducing angiogenesis
• Activating invasion and metastasis
• Reprogramming energy metabolism
• Evading immune destruction
• Tumor-promoting inflammation
• Genome instability and mutation

The tool is accessible at cancerhallmarks.com. It allows enrichment analysis of user-submitted gene lists and provides visualization outputs, including a circular plot.

The circular plot displays enrichment per hallmark category. Radial bars represent the ten hallmarks, bar length corresponds to statistical significance (corrected p-values). A red dashed threshold line indicates p = 0.05, above which colored bars represent significant enrichment.

The platform has been applied in survival analysis, gene expression comparisons and biomarker studies across multiple tumor types. A poster was presented at SABCS 2024 titled: Decoding breast cancer: unveiling the role of hallmark genes in tumor progression and prognosis.^[3]

The Cancer Hallmarks gene set has been referenced by other research groups in:

• biomarker identification
• comparative transcriptomics
• evaluation of gene set enrichment algorithms

The number of independent citations is continuously increasing.

• 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.

• The Hallmarks of Cancer
• Gene set enrichment analysis

• Official website
• Video (YouTube link available via FAQ page)

Category:Bioinformatics Category:Cancer research Category:Genomics Category:Genetic databases Category:Computational biology