ArticleJournal of molecular cell biology2021
Pan-cancer network disorders revealed by overall and local signaling entropy.
Article in Journal of molecular cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Signalling Entropy Across Measurement Scales: A Compositional Dilution Lemma and Cross-Modality Invariance for Information-Theoretic Analysis of Cancer Transcriptomes.Entropy (Basel, Switzerland) · 2026Article
- Network analysis to identify driver genes and combination drugs in brain cancer.Scientific reports · 2024Article
- Defining the Role of Metastasis-Initiating Cells in Promoting Carcinogenesis in Ovarian Cancer.Biology · 2023Review
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6 authors.
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Abstract
Tumor development is a process involving loss of the differentiation phenotype and acquisition of stem-like characteristics, which is driven by intracellular rewiring of signaling network. The measurement of network reprogramming and disorder would be challenging due to the complexity and heterogeneity of tumors. Here, we proposed signaling entropy (SR) to assess the degree of tumor network disorder. We calculated SR for 33 tumor types in The Cancer Genome Atlas database based on transcriptomic and proteomic data. The SR of tumors was significantly higher than that of normal samples and was highly correlated with cell stemness, cancer type, tumor grade, and metastasis. We further demonstrated the sensitivity and accuracy of using local SR in prognosis prediction and drug response evaluation. Overall, SR could reveal cancer network disorders related to tumor malignant potency, clinical prognosis, and drug response.
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