Prioritizing Cancer Genes Using HodgeRank Reveals Critical Pathways in Cancer Progression

Cancer gene prioritization is critical for the development of targeted therapies. In this study, we applied the HodgeRank framework to rank cancerous genes based on their relative expression differences between normal and tumor samples, thereby enabling the systematic prioritization of genes for further analysis. Enrichment analysis and the corresponding enrichment maps revealed significant biological processes, cellular components, molecular functions, and pathways, including PI3K-Akt, MAPK, and IL-6/JAK signaling that play pivotal roles in cancer progression. These findings highlight the utility of HodgeRank in identifying biologically relevant gene rankings and critical pathways, providing a robust framework that is further supported by sensitivity analyses and cross-validation experiments.

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Published
2025-05-05
DOI
https://doi.org/10.1109/cai64502.2025.00078
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Prioritizing Cancer Genes Using HodgeRank Reveals Critical Pathways in Cancer Progression

Yutong Jiang, Erçan E. Kuruoğlu
Genetics, Bioinformatics, and Biomedical Research
article

Prioritizing Cancer Genes Using HodgeRank Reveals Critical Pathways in Cancer Progression

Yutong Jiang, Erçan E. Kuruoğlu
article en

Abstract

Cancer gene prioritization is critical for the development of targeted therapies. In this study, we applied the HodgeRank framework to rank cancerous genes based on their relative expression differences between normal and tumor samples, thereby enabling the systematic prioritization of genes for further analysis. Enrichment analysis and the corresponding enrichment maps revealed significant biological processes, cellular components, molecular functions, and pathways, including PI3K-Akt, MAPK, and IL-6/JAK signaling that play pivotal roles in cancer progression. These findings highlight the utility of HodgeRank in identifying biologically relevant gene rankings and critical pathways, providing a robust framework that is further supported by sensitivity analyses and cross-validation experiments.

Tsinghua University (CN)
Science, Technology and Innovation Commission of Shenzhen Municipality
Good health and well-being
Openalex Percentile: Top 85%
Genetics, Bioinformatics, and Biomedical Research
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