Literature DB >> 24336324

Hallmarks of alternative splicing in cancer.

S Oltean1, D O Bates2.   

Abstract

The immense majority of genes are alternatively spliced and there are many isoforms specifically associated with cancer progression and metastasis. The splicing pattern of specific isoforms of numerous genes is altered as cells move through the oncogenic process of gaining proliferative capacity, acquiring angiogenic, invasive, antiapoptotic and survival properties, becoming free from growth factor dependence and growth suppression, altering their metabolism to cope with hypoxia, enabling them to acquire mechanisms of immune escape, and as they move through the epithelial-mesenchymal and mesenchymal-epithelial transitions and metastasis. Each of the 'hallmarks of cancer' is associated with a switch in splicing, towards a more aggressive invasive cancer phenotype. The choice of isoforms is regulated by several factors (signaling molecules, kinases, splicing factors) currently being identified systematically by a number of high-throughput, independent and unbiased methodologies. Splicing factors are de-regulated in cancer, and in some cases are themselves oncogenes or pseudo-oncogenes and can contribute to positive feedback loops driving cancer progression. Tumour progression may therefore be associated with a coordinated splicing control, meaning that there is the potential for a relatively small number of splice factors or their regulators to drive multiple oncogenic processes. The understanding of how splicing contributes to the various phenotypic traits acquired by tumours as they progress and metastasise, and in particular how alternative splicing is coordinated, can and is leading to the development of a new class of anticancer therapeutics-the alternative-splicing inhibitors.

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Year:  2013        PMID: 24336324     DOI: 10.1038/onc.2013.533

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  271 in total

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3.  The dJ/dS Ratio Test Reveals Hundreds of Novel Putative Cancer Drivers.

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Review 4.  Pathway perturbations in signaling networks: Linking genotype to phenotype.

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5.  Quantitative proteomic analyses of mammary organoids reveals distinct signatures after exposure to environmental chemicals.

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Review 6.  Biology and clinical relevance of noncoding sno/scaRNAs.

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Review 7.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

8.  Splicing factor SRSF1 promotes gliomagenesis via oncogenic splice-switching of MYO1B.

Authors:  Xuexia Zhou; Run Wang; Xuebing Li; Lin Yu; Dan Hua; Cuiyun Sun; Cuijuan Shi; Wenjun Luo; Chun Rao; Zhendong Jiang; Ying Feng; Qian Wang; Shizhu Yu
Journal:  J Clin Invest       Date:  2019-01-14       Impact factor: 14.808

9.  Skipped Over: Tuning Natural Killer Cells Toward HIV Through Alternative Splicing.

Authors:  Daniel R Ram; Kyle Kroll; R Keith Reeves
Journal:  AIDS Res Hum Retroviruses       Date:  2020-09-28       Impact factor: 2.205

10.  Detecting splicing patterns in genes involved in hereditary breast and ovarian cancer.

Authors:  Grégoire Davy; Antoine Rousselin; Nicolas Goardon; Laurent Castéra; Valentin Harter; Angelina Legros; Etienne Muller; Robin Fouillet; Baptiste Brault; Anna S Smirnova; Fréderic Lemoine; Pierre de la Grange; Marine Guillaud-Bataille; Virginie Caux-Moncoutier; Claude Houdayer; Françoise Bonnet; Cécile Blanc-Fournier; Pascaline Gaildrat; Thierry Frebourg; Alexandra Martins; Dominique Vaur; Sophie Krieger
Journal:  Eur J Hum Genet       Date:  2017-07-26       Impact factor: 4.246

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