2019
DOI: 10.1093/nar/gkz871
|View full text |Cite
|
Sign up to set email alerts
|

CancerGeneNet: linking driver genes to cancer hallmarks

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 t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

1
42
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
5
1
1

Relationship

0
7

Authors

Journals

citations
Cited by 34 publications
(43 citation statements)
references
References 26 publications
1
42
0
Order By: Relevance
“…Studies reporting on molecular/genetic data of GEP MiNENs have identified well-characterised carcinogenetic hallmarks of more common GEP malignancies as potential drivers of this disease, such as alterations affecting TP53, KRAS, BRAF, APC, PI3KCA, and MSI [102], corroborating what was previously reported by Girardi D.M. et al [10]; these alterations are usually shared between the two components and likely present in founding clones.…”
Section: Discussionsupporting
confidence: 83%
“…Studies reporting on molecular/genetic data of GEP MiNENs have identified well-characterised carcinogenetic hallmarks of more common GEP malignancies as potential drivers of this disease, such as alterations affecting TP53, KRAS, BRAF, APC, PI3KCA, and MSI [102], corroborating what was previously reported by Girardi D.M. et al [10]; these alterations are usually shared between the two components and likely present in founding clones.…”
Section: Discussionsupporting
confidence: 83%
“…Another way to analyze the correlation between hypoxia and metastasis was unrevealing the shortest paths from hypoxia-related proteins to metastasis signaling 62 . We found that 99 of 233 (42%) proteins had paths to metastasis where 49 had positive regulation with an average distance of 3.0, and 16 had negative regulation with an average distance of 3.5.…”
Section: Discussionmentioning
confidence: 99%
“…We analyzed the 233 hypoxia-related proteins by using CancerGeneNet software in order to find the shortest paths to metastasis according to Iannuccelli et al 62 (Table S30). Additionally, 27 (12%) of them presented a frequency mean of genomic alterations more than the average (> 0.068) across 17 TCGA Pan-Cancer types (Table S1).…”
Section: Shortest Paths From Hypoxia-related Proteins To Metastasismentioning
confidence: 99%
See 2 more Smart Citations