CancerGeneNet (https://signor.uniroma2.it/CancerGeneNet/) is a resource that links genes that are frequently mutated in cancers to cancer phenotypes. The resource takes advantage of a curation effort aimed at embedding a large fraction of the gene products that are found altered in cancer cells into a network of causal protein relationships. Graph algorithms, in turn, allow to infer likely paths of causal interactions linking cancer associated genes to cancer phenotypes thus offering a rational framework for the design of strategies to revert disease phenotypes. CancerGeneNet bridges two interaction layers by connecting proteins whose activities are affected by cancer drivers to proteins that impact on the 'hallmarks of cancer'. In addition, CancerGeneNet annotates curated pathways that are relevant to rationalize the pathological consequences of cancer driver mutations in selected common cancers and 'MiniPathways' illustrating regulatory circuits that are frequently altered in different cancers.

CancerGeneNet: linking driver genes to cancer hallmarks / Iannuccelli, M; Micarelli, E; Lo Surdo, P; Palma, A; Perfetto, L; Rozzo, I; Castagnoli, L; Licata, L; Cesareni, G. - In: NUCLEIC ACIDS RESEARCH. - ISSN 0305-1048. - 48:D1(2020), pp. 416-421. [10.1093/nar/gkz871]

CancerGeneNet: linking driver genes to cancer hallmarks

Lo Surdo P;Palma A;Perfetto L;
2020

Abstract

CancerGeneNet (https://signor.uniroma2.it/CancerGeneNet/) is a resource that links genes that are frequently mutated in cancers to cancer phenotypes. The resource takes advantage of a curation effort aimed at embedding a large fraction of the gene products that are found altered in cancer cells into a network of causal protein relationships. Graph algorithms, in turn, allow to infer likely paths of causal interactions linking cancer associated genes to cancer phenotypes thus offering a rational framework for the design of strategies to revert disease phenotypes. CancerGeneNet bridges two interaction layers by connecting proteins whose activities are affected by cancer drivers to proteins that impact on the 'hallmarks of cancer'. In addition, CancerGeneNet annotates curated pathways that are relevant to rationalize the pathological consequences of cancer driver mutations in selected common cancers and 'MiniPathways' illustrating regulatory circuits that are frequently altered in different cancers.
2020
SIGNOR; cancer; causal interaction; pathway; network
01 Pubblicazione su rivista::01a Articolo in rivista
CancerGeneNet: linking driver genes to cancer hallmarks / Iannuccelli, M; Micarelli, E; Lo Surdo, P; Palma, A; Perfetto, L; Rozzo, I; Castagnoli, L; Licata, L; Cesareni, G. - In: NUCLEIC ACIDS RESEARCH. - ISSN 0305-1048. - 48:D1(2020), pp. 416-421. [10.1093/nar/gkz871]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1660170
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