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Alternative Splicing and Cancer

Authors: Auboeuf D; CarmoFonseca M; Valcarcel J; Biamonti G;

Alternative Splicing and Cancer

Abstract

Alternative splicing of premessenger RNAs is a key step in the gene expression process, which allows the synthesis of different products from the same gene and contributes to increase the complexity of the proteome coded by a limited number of genes. Specialized high-throughput technologies (RNA-Seq, splicing-sensitive microarrays) aiming at analyzing alternative splicing in normal or pathological situations have allowed to make a promising step forward in basic and translational molecular oncology by identifying a variety of cancer-associated splicing variants. However, modification of alternative splicing is among the myriad of alterations present in cancer cells and whether splicing alteration is a cause or a consequence of cancer remains to be elucidated. The main focus of this special issue is to highlight some of the mechanisms involved in splicing alteration in cancer and to present new evidence demonstrating the involvement of alternative splicing alterations in different steps and aspects of cancer initiation and progression. To highlight the applications of large-scale approaches in the search for relevant cancer-associated splicing events, S. Germann and colleagues give an overview of the studies that have been carried out so far using such strategies. This has allowed to identify sets of functionally related genes whose expression is altered at the splicing level in cancer cells and to characterize some of the factors which control specific splicing programs that are deregulated in tumors. The other reviews give a series of specific examples of cancer-associated splicing variants. S. Druillennec and colleagues address how alternative splicing modifies the physiological and pathological functions of a variety of protein kinases. Taking several examples of membrane-associated or cytosolic kinases, they explain more particularly how the oncogenic properties of this important class of factors between specific splicing isoforms. More specifically, K. Holzmann and colleagues summarize the various splicing alterations that affect, in different tumor types, the transcripts encoding the fibroblast growth factor receptors (FGFR) 1–3, at the level of their IgIII loop. Splicing-induced variations in this domain, which occur naturally during embryonic development and are regulated in a tissue-specific manner, directly affect the interactions between the receptors and their ligands and have profound consequences on their activity. In cancer cells, alterations in FGFR2 splicing are involved in the epithelial-mesenchymal transition, an important step in the formation of metastases. In their paper, Hilmi and colleagues focus on the alternative splicing of vascular endothelial growth factor (VEGF), which produces isoforms with opposite functions in the control of angiogenesis, a process involved in the progression and metastasis of several cancers. They discuss the emerging possibility of targeting angiogenesis more accurately by modulating the splicing of VEGF transcripts through the factors that control it. J. Wei and colleagues review our current knowledge of the functional diversity of protein isoforms that compose the p53 family, encoded by the TP53, TP63, and TP73 genes. Evidence shows that the aberrant expression of some of these isoforms in cancer cells contributes to tumor progression and may explain in some cases the resistance of tumors to therapeutic treatments. Altogether those review articles illustrate how cancer cells may divert the natural properties of tissue-specific or developmentally regulated splicing variants to alter cellular functions and lead to a malignant phenotype or to a propagation of the tumor. This also underlines the need for a better understanding of the molecular mechanisms that control such splicing alterations. Didier Auboeuf Maria Carmo-Fonseca Juan Valcarcel Giuseppe Biamonti

Keywords

Editorial, Alternative splicing; cancer, Genetics, QD415-436, QH426-470, Biochemistry

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Average
Average
Average
Green
gold