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      Alternative splicing and cancer: insights, opportunities, and challenges from an expanding view of the transcriptome

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          Abstract

          In this review, Cherry et al. describe the current understanding of how splicing is regulated, discuss some classic and newer examples of how this regulation is altered in cancer, and then review recent insight into the breadth of splicing variability in cancer as well as the progress and obstacles in leveraging alternative splicing to increase our ability to classify and treat human metastatic disease.

          Abstract

          Over the past decade there has been increased awareness of the potential role of alternative splicing in the etiology of cancer. In particular, advances in RNA-Sequencing technology and analysis has led to a wave of discoveries in the last few years regarding the causes and functional relevance of alternative splicing in cancer. Here we discuss the current understanding of the connections between splicing and cancer, with a focus on the most recent findings. We also discuss remaining questions and challenges that must be addressed in order to use our knowledge of splicing to guide the diagnosis and treatment of cancer.

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          Alternative Isoform Regulation in Human Tissue Transcriptomes

          Eric T Wang, Rickard Sandberg, Shujun Luo … (2008)
          Through alternative processing of pre-mRNAs, individual mammalian genes often produce multiple mRNA and protein isoforms that may have related, distinct or even opposing functions. Here we report an in-depth analysis of 15 diverse human tissue and cell line transcriptomes based on deep sequencing of cDNA fragments, yielding a digital inventory of gene and mRNA isoform expression. Analysis of mappings of sequence reads to exon-exon junctions indicated that 92-94% of human genes undergo alternative splicing (AS), ∼86% with a minor isoform frequency of 15% or more. Differences in isoform-specific read densities indicated that a majority of AS and of alternative cleavage and polyadenylation (APA) events vary between tissues, while variation between individuals was ∼2- to 3-fold less common. Extreme or ‘switch-like’ regulation of splicing between tissues was associated with increased sequence conservation in regulatory regions and with generation of full-length open reading frames. Patterns of AS and APA were strongly correlated across tissues, suggesting coordinated regulation of these processes, and sequence conservation of a subset of known regulatory motifs in both alternative introns and 3′ UTRs suggested common involvement of specific factors in tissue-level regulation of both splicing and polyadenylation.
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            rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq data.

            Shihao Shen, Juw Won Park, Zhi-xiang Lu … (2014)
            Ultra-deep RNA sequencing (RNA-Seq) has become a powerful approach for genome-wide analysis of pre-mRNA alternative splicing. We previously developed multivariate analysis of transcript splicing (MATS), a statistical method for detecting differential alternative splicing between two RNA-Seq samples. Here we describe a new statistical model and computer program, replicate MATS (rMATS), designed for detection of differential alternative splicing from replicate RNA-Seq data. rMATS uses a hierarchical model to simultaneously account for sampling uncertainty in individual replicates and variability among replicates. In addition to the analysis of unpaired replicates, rMATS also includes a model specifically designed for paired replicates between sample groups. The hypothesis-testing framework of rMATS is flexible and can assess the statistical significance over any user-defined magnitude of splicing change. The performance of rMATS is evaluated by the analysis of simulated and real RNA-Seq data. rMATS outperformed two existing methods for replicate RNA-Seq data in all simulation settings, and RT-PCR yielded a high validation rate (94%) in an RNA-Seq dataset of prostate cancer cell lines. Our data also provide guiding principles for designing RNA-Seq studies of alternative splicing. We demonstrate that it is essential to incorporate biological replicates in the study design. Of note, pooling RNAs or merging RNA-Seq data from multiple replicates is not an effective approach to account for variability, and the result is particularly sensitive to outliers. The rMATS source code is freely available at rnaseq-mats.sourceforge.net/. As the popularity of RNA-Seq continues to grow, we expect rMATS will be useful for studies of alternative splicing in diverse RNA-Seq projects.
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              Cancer-associated IDH1 mutations produce 2-hydroxyglutarate.

              Lenny Dang, David W White, Stefan Gross … (2009)
              Mutations in the enzyme cytosolic isocitrate dehydrogenase 1 (IDH1) are a common feature of a major subset of primary human brain cancers. These mutations occur at a single amino acid residue of the IDH1 active site, resulting in loss of the enzyme's ability to catalyse conversion of isocitrate to alpha-ketoglutarate. However, only a single copy of the gene is mutated in tumours, raising the possibility that the mutations do not result in a simple loss of function. Here we show that cancer-associated IDH1 mutations result in a new ability of the enzyme to catalyse the NADPH-dependent reduction of alpha-ketoglutarate to R(-)-2-hydroxyglutarate (2HG). Structural studies demonstrate that when arginine 132 is mutated to histidine, residues in the active site are shifted to produce structural changes consistent with reduced oxidative decarboxylation of isocitrate and acquisition of the ability to convert alpha-ketoglutarate to 2HG. Excess accumulation of 2HG has been shown to lead to an elevated risk of malignant brain tumours in patients with inborn errors of 2HG metabolism. Similarly, in human malignant gliomas harbouring IDH1 mutations, we find markedly elevated levels of 2HG. These data demonstrate that the IDH1 mutations result in production of the onco-metabolite 2HG, and indicate that the excess 2HG which accumulates in vivo contributes to the formation and malignant progression of gliomas.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Genes Dev
                Journal ID (iso-abbrev): Genes Dev
                Journal ID (hwp): genesdev
                Journal ID (pmc): genesdev
                Journal ID (publisher-id): GAD
                Title: Genes & Development
                Publisher: Cold Spring Harbor Laboratory Press
                ISSN (Print): 0890-9369
                ISSN (Electronic): 1549-5477
                Publication date (Print): 1 August 2020
                Volume: 34
                Issue: 15-16
                Pages: 1005-1016
                Affiliations
                [1 ]Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA;
                [2 ]Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
                Author notes
                Article
                Medline ID: 8711660
                DOI: 10.1101/gad.338962.120
                PMC ID: 7397854
                PubMed ID: 32747477
                SO-VID: 57a31450-4f17-401f-9da6-d7a7246dd4ee
                Copyright © © 2020 Cherry and Lynch; Published by Cold Spring Harbor Laboratory Press
                License:

                This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genesdev.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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                Pages: 27
                Categories
                Subject: 5
                Subject: 7
                Subject: Review

                Keywords: alternative splicing,cancer,transcriptomic analysis
                Data availability:
                Keywords: alternative splicing, cancer, transcriptomic analysis

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