ArticleNucleic acids research2012
Network of Cancer Genes (NCG 3.0): integration and analysis of genetic and network properties of cancer genes.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 43 citations in OpenAlex.
- Detection and annotation of transposable element insertions and deletions on the human genome using nanopore sequencing.iScience · 2023Article
- Identification of Cancer Driver Genes by Integrating Multiomics Data with Graph Neural Networks.Metabolites · 2023Article
- Comparative oncology reveals DNMT3B as a molecular vulnerability in undifferentiated pleomorphic sarcoma.Cellular oncology (Dordrecht, Netherlands) · 2022Article
- Article
- The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens.Genome biology · 2019Article
- Measurement of Conditional Relatedness Between Genes Using Fully Convolutional Neural Network.Frontiers in genetics · 2019Article
- Genomic profiling of dedifferentiated liposarcoma compared to matched well-differentiated liposarcoma reveals higher genomic complexity and a common origin.Cold Spring Harbor molecular case studies · 2018Article
- Control of fluxes in metabolic networks.Genome research · 2016Article
- Human cancer databases (review).Oncology reports · 2015Review
- Clonal Dominance With Retroviral Vector Insertions Near the ANGPT1 and ANGPT2 Genes in a Human Xenotransplant Mouse Model.Molecular therapy. Nucleic acids · 2014Article
- Deep sequencing of the X chromosome reveals the proliferation history of colorectal adenomas.Genome biology · 2014Article
- Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome.Molecular biology and evolution · 2014Article
- Efficiency and safety of O⁶-methylguanine DNA methyltransferase (MGMT(P140K))-mediated in vivo selection in a humanized mouse model.Human gene therapy · 2014Article
- Identifying the gene signatures from gene-pathway bipartite network guarantees the robust model performance on predicting the cancer prognosis.BioMed research international · 2014Article
- Expanding the genetic basis of copy number variation in familial breast cancer.Hereditary cancer in clinical practice · 2014Article
- NCG 4.0: the network of cancer genes in the era of massive mutational screenings of cancer genomes.Database : the journal of biological databases and curation · 2014Article
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.Pharmacology & therapeutics · 2013Review
- Integrated analysis of recurrent properties of cancer genes to identify novel drivers.Genome biology · 2013Article
- Drug resistance missense mutations in cancer are subject to evolutionary constraints.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of a constantly increasing number of genes whose mutations are causally implicated in tumor initiation and progression (cancer genes) requires the development of tools to store and analyze them. The Network of Cancer Genes (NCG 3.0) collects information on 1494 cancer genes that have been found mutated in 16 different cancer types. These genes were collected from the Cancer Gene Census as well as from 18 whole exome and 11 whole-genome screenings of cancer samples. For each cancer gene, NCG 3.0 provides a summary of the gene features and the cross-reference to other databases. In addition, it describes duplicability, evolutionary origin, orthology, network properties, interaction partners, microRNA regulation and functional roles of cancer genes and of all genes that are related to them. This integrated network of information can be used to better characterize cancer genes in the context of the system in which they act. The data can also be used to identify novel candidates that share the same properties of known cancer genes and may therefore play a similar role in cancer. NCG 3.0 is freely available at http://bio.ifom-ieo-campus.it/ncg.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.