Literature DB >> 32778778

A compendium of mutational cancer driver genes.

Francisco Martínez-Jiménez1, Ferran Muiños1, Inés Sentís1, Jordi Deu-Pons1, Iker Reyes-Salazar1, Claudia Arnedo-Pac1, Loris Mularoni1, Oriol Pich1, Jose Bonet1, Hanna Kranas1, Abel Gonzalez-Perez2,3, Nuria Lopez-Bigas4,5,6.   

Abstract

A fundamental goal in cancer research is to understand the mechanisms of cell transformation. This is key to developing more efficient cancer detection methods and therapeutic approaches. One milestone towards this objective is the identification of all the genes with mutations capable of driving tumours. Since the 1970s, the list of cancer genes has been growing steadily. Because cancer driver genes are under positive selection in tumorigenesis, their observed patterns of somatic mutations across tumours in a cohort deviate from those expected from neutral mutagenesis. These deviations, which constitute signals of positive selection, may be detected by carefully designed bioinformatics methods, which have become the state of the art in the identification of driver genes. A systematic approach combining several of these signals could lead to a compendium of mutational cancer genes. In this Review, we present the Integrative OncoGenomics (IntOGen) pipeline, an implementation of such an approach to obtain the compendium of mutational cancer drivers. Its application to somatic mutations of more than 28,000 tumours of 66 cancer types reveals 568 cancer genes and points towards their mechanisms of tumorigenesis. The application of this approach to the ever-growing datasets of somatic tumour mutations will support the continuous refinement of our knowledge of the genetic basis of cancer.

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Year:  2020        PMID: 32778778     DOI: 10.1038/s41568-020-0290-x

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  178 in total

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Journal:  Nat Rev Cancer       Date:  2015-06       Impact factor: 60.716

2.  Comprehensive Characterization of Cancer Driver Genes and Mutations.

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Journal:  Cell       Date:  2018-04-05       Impact factor: 41.582

Review 3.  A census of amplified and overexpressed human cancer genes.

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Journal:  Nat Rev Cancer       Date:  2010-01       Impact factor: 60.716

4.  The Cancer Genome Atlas Pan-Cancer analysis project.

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Journal:  Nat Genet       Date:  2013-10       Impact factor: 38.330

Review 5.  Exploring the genomes of cancer cells: progress and promise.

Authors:  Michael R Stratton
Journal:  Science       Date:  2011-03-25       Impact factor: 47.728

Review 6.  Cancer genome-sequencing study design.

Authors:  Jill C Mwenifumbo; Marco A Marra
Journal:  Nat Rev Genet       Date:  2013-05       Impact factor: 53.242

Review 7.  Epigenetic gene silencing in cancer - a mechanism for early oncogenic pathway addiction?

Authors:  Stephen B Baylin; Joyce E Ohm
Journal:  Nat Rev Cancer       Date:  2006-02       Impact factor: 60.716

Review 8.  The cancer genome.

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9.  Cancer Genome Interpreter annotates the biological and clinical relevance of tumor alterations.

Authors:  David Tamborero; Carlota Rubio-Perez; Jordi Deu-Pons; Michael P Schroeder; Ana Vivancos; Ana Rovira; Ignasi Tusquets; Joan Albanell; Jordi Rodon; Josep Tabernero; Carmen de Torres; Rodrigo Dienstmann; Abel Gonzalez-Perez; Nuria Lopez-Bigas
Journal:  Genome Med       Date:  2018-03-28       Impact factor: 11.117

Review 10.  A census of pathway maps in cancer systems biology.

Authors:  Brent M Kuenzi; Trey Ideker
Journal:  Nat Rev Cancer       Date:  2020-02-17       Impact factor: 60.716

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Authors:  Yimin Li; Shun Lu; Shubin Wang; Xinhao Peng; Jinyi Lang
Journal:  J Transl Med       Date:  2021-05-24       Impact factor: 5.531

Review 5.  Genomic landscape of colorectal carcinogenesis.

Authors:  Jin Cheon Kim; Walter F Bodmer
Journal:  J Cancer Res Clin Oncol       Date:  2022-01-20       Impact factor: 4.553

Review 6.  Mutations and mechanisms of WNT pathway tumour suppressors in cancer.

Authors:  Jeroen M Bugter; Nicola Fenderico; Madelon M Maurice
Journal:  Nat Rev Cancer       Date:  2020-10-23       Impact factor: 60.716

7.  Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes.

Authors:  Shayantan Banerjee; Karthik Raman; Balaraman Ravindran
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639

8.  Identification of gastric cancer subtypes based on pathway clustering.

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Journal:  NPJ Precis Oncol       Date:  2021-06-02

9.  Evidence of Cooperation between Hippo Pathway and RAS Mutation in Thyroid Carcinomas.

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Journal:  Cancers (Basel)       Date:  2021-05-12       Impact factor: 6.639

10.  Genomic and Transcriptomic Characterization of Canine Osteosarcoma Cell Lines: A Valuable Resource in Translational Medicine.

Authors:  Cecilia Gola; Diana Giannuzzi; Andrea Rinaldi; Selina Iussich; Paola Modesto; Emanuela Morello; Paolo Buracco; Luca Aresu; Raffaella De Maria
Journal:  Front Vet Sci       Date:  2021-05-17
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