Abstract
Alternative splicing plays many important roles in the pathogenesis of leukemia. Recent papers suggest that one of its key aspects is exclusion of 3’-terminal exons in favor of premature termination using intronic polyadenylation signals. This process generates leukemia suppressor isoforms with truncated C-termini and acting in loss-of-function or dominant-negative manners.
Keywords: alternative splicing, intronic polyadenylation, RNA processing, protein diversity, leukemia, cancer
The advent of next generation sequencing approaches to analyze cancer genomes at the single-nucleotide resolution has revolutionized our understanding of tumor pathobiology and led to identification of cancer drivers recurrently affected by gain-of-function (oncogenes) and loss-of-function (tumor suppressor genes, or TSGs) mutations. While in many adult solid cancers the mutational load is quite high (hundreds of genetic events per sample), hematologic malignancies (e.g., pediatric and adult leukemias) are genetically quiet, often with no more than one known oncogenic driver per sample and no evidence of TSG inactivation at the genomic level. This extreme parsimony creates a conundrum: how does a pre-leukemic cell manage to effect so much malignant change with so little genetic diversity? One possibly answer is that its TSGs could be silenced by epigenetic events, for example DNA or histone methylation. Yet these mechanisms are not prevalent in common lymphoid malignancies, such as chronic lymphocytic (CLL) and B-cell acute lymphoblastoid (B-ALL) leukemias. Additionally, epigenetic mechanisms typically affect large swaths of the genome well beyond individual TSGs, making establishing the causation a challenge. In the past decade, two related but distinct post-transcriptional mechanisms of exon selection - alternative splicing (AS) and alternative polyadenylation (APA) - have emerged, which act on target transcripts with pinpoint accuracy. They affect both coding and non-coding exons and result in greater transcriptome and proteome diversity, which frequently confers growth advantage upon leukemic cells (Figure 1).
Figure 1. Non-canonical usage of exons and polyadenylation signals in cancer.
Alternative splicing (AS) and alternative polyadenylation (APA) are two key RNA processing events that account for the diversity of cancer transcriptome and proteome. APA at multiple polyadenylation sites (PAS) within 3’UTR will affect the length of the 3’UTR and mRNA turnover, but not the protein coding region. However, APA at cryptic PAS in introns can lead to truncated mRNA and protein isoforms. Green and yellow boxes indicate exons and dotted lines – introns. Grey circles denote 5’ caps of mature transcripts and “AAAAA(n)” - 3’ poly(A) tails.
AS is a well-recognized mRNA maturation mechanism, which gained particular prominence in the leukemia field since the discovery in 2011 of driver mutations in genes encoding key spliceosome components (e.g., SF3B1 and U2AF1) and nuclear proteins bound to exonic splicing enhancers (SRSF2) (reviewed in [1]). Such mutations have profound implication for leukemogenesis. SRSF2 mutants, for example, were recently shown to promote inclusion of the stop codon-containing “poison” exon in the EZH2 mRNA and to repress the frame-preserving exon of the BCOR mRNA [2]. This predictably results in nonsense-mediated decay (NMD), a quality control mechanism eliminating non-translatable transcripts [3]. Of note, both EZH2 and BCOR play prominent roles in hematologic malignancies, and restoring EZH2 expression partially rescues hematopoiesis in SRSF2-mutated cells [2].
In other types of leukemias such as B-ALL, splicing factor (SF) genes are almost never mutated. Yet recent data from our laboratory demonstrate that even in B-ALL there is systemic deregulation of splicing affecting thousands of genes, some more consistently that others [4]. One of the most consistent changes affects 3’ untranslated region (3’UTR) selection by the transcript encoding the key SF hnRNPA1, making it an NMD substrate and reducing its mRNA levels. Also deregulated in B-ALL was SRSF3, which has a “poison” exon of its own and is closely related to aforementioned SRSF2. Collectively, dysregulated hnRNPA1 and other SFs cause aberrant splicing of dozen of oncogenes and TSGs, including DICER1, TP53, and NT5C2 with frequencies far exceeding those of somatic mutations and copy number alterations [4].
AS is not limited to exons comprising open reading frames. It also affects 5’ and 3’UTRs, sometimes with drastic consequences, as exemplified by alternative polyadenylation (APA). APA can occur either in a splicing-independent form (by utilizing multiple poly(A) signals (PAS) in typically long 3’-terminal exons) [5] or in a splicing-dependent form, where mutually exclusive 3’-terminal exons can be found in otherwise identical mRNA species. This latter phenomenon is known as intronic polyadenylation (IPA). While the use of intronic PAS near transcription start sites would cause abortive transcription, PAS further downstream could yield stable proteins that nevertheless lack C-terminal domains and quite possibly have opposing or dominant-negative functions. There are individual examples of functional C-terminal isoforms, most famously the developmentally regulated AS and IPA of the immunoglobulin µ heavy chain transcript, which encodes the membrane-bound IgM in B-cells but secreted IgM in plasma cells. However, testing the functional significance of IPA on the whole transcriptome scale has become possible only recently, through gradual improvements in 3’-end sequencing.
In the summer of 2018, the Mayr and Leslie laboratories at the Memorial Sloan-Kettering Cancer Center demonstrated that truncation of proteins through IPA is quite prevalent in blood-derived immune cells [6]. The authors estimated that PAS are interspersed within the introns of 15–20% genes, where they would compete with 5’ splicing sites (5’ss) for binding of various RNA binding proteins. IPA was also tightly regulated throughout developmental stages, e.g., in germinal center B-cells vs. memory B-cells and in plasma cells vs. their malignant counterparts multiple myelomas [6]. The unique pattern of IPA in multiple myeloma suggested that this process might contribute to the pathogenesis of blood cancers.
In the vitally important follow-up paper, the same groups tested the hypothesis that in addition to generating proteome diversity, IPA, just like AS, can inactivate TSGs. Using as a model CLL vs. normal CD5-positive B-cells, Lee at al discovered a number of truncated protein isoforms corresponding to known leukemia suppressors [7]. In fact, they observed a statistically significant enrichment for TSG transcripts among all alternatively terminated mRNAs. Of note, many IPA-mediated truncations occurred within domains also targeted by nonsense mutations in other CLL patients. These events occurred in a mutually exclusive manner, suggesting that genetic and co-transcriptional inactivations were two means to the same end. Examples of dually affected TSGs were DICER1, the key enzyme in microRNA biogenesis, and MGA and FOXN3, transcriptional repressors of several leukemogenic programs. Another class of candidate TSGs was only affected by IPA in CLL but was known to suffer truncating mutations in solid tumors. Some of those 100+ genes are very well-characterized, but others we know very little about. The case in point is CHST11, which encodes a carbohydrate sulfotransferase that modifies chondroitin on the surface of WNT ligand-expressing cells and prevents its diffusion and paracrine signaling. In contrast, dominant-negative CHST11 IPA enabled WNT action on neighboring cells, which presumably favored neoplastic transformation. Collectively, these observations suggest that AS in general and IPA in particular might be the preferred ways to inactivate TSGs in leukemia.
Aside from the widespread deregulation of SFs in leukemia, what might the underlying molecular mechanisms be? Transcription and splicing are known to occur on similar timescales [8]. Therefore, as the authors point out, IPA signals within introns must compete with the alternate splicing machinery; and several cis-acting splicing elements, such as long introns and weak 5’ss, would favor IPA over splicing. Indeed, IPA genes were found to have longer introns, longer transcription units, and higher AT content [6]. Additionally, IPA could be affected by factors that alter the rate of transcription elongation by polymerase II, including DNA methylation and chromatin structure. One particularly relevant modification might be H3K36me3, which is written by the leukemia-suppressive SETD2 methyltransferase and preferentially marks expressed, slowly transcribed exons (reviewed in [9]). The effects of epigenetics are apparently not limited to DNA modifiers: a recent study showed that diminished RNA methylation (namely, N6-methyl-adenosine) of the newly transcribed exon of the MAGI3 gene enhances recognition of the PAS in the following intron, causing truncation of this protein in breast cancer cells [10].
In summary, there is emerging evidence that at least some splicing alterations in tumor suppressor genes (including IPA) are functionally equivalent to deletions and/or known loss-of-function mutations. This mechanism has profound implications for the entwined fields of precision medicine and targeted anti-cancer therapies. Across the world, centers for personalized diagnostic utilize next generation sequencing and gene panels to detect mutations and copy number alterations in specific genes known to be drivers in a particular cancer type. For example, hematologic malignancy sequencing panels yield clinically relevant and actionable insights into leukemia pathogenesis, progression, and therapeutic responses. Yet, this approach completely ignores RNA alterations such as exon usage and therefore is bound to miss important predictive and prognostic biomarkers. We envision that in the next few years follow-up studies will usher in the era of RNA-based diagnostics for liquid and solid tumors alike, in children as well as in adults. Additionally, interfering with splicing using RNA-based therapeutics and/or available small molecule inhibitors could be used to re-activate dormant TSGs and reap significant therapeutic benefits.
Acknowledgements
The authors thanks Kristen Lynch (University of Pennsylvania) for her insightful comments on the manuscript. Relevant research in our laboratory was supported by grants from the NIH (U01 CA232563), St. Baldrick’s Foundation (RG 527717), Alex’s Lemonade Stand Foundation, and William Lawrence and Blanche Hughes Foundation. MA and ATT also acknowledge support by St. Baldrick’s- Stand Up to Cancer Pediatric Dream Team Translational Research Grant (SU2C-AACR-DT-27–17). Stand Up to Cancer is a division of the Entertainment Industry Foundation. Research grants are administered by the American Association for Cancer Research, the Scientific Partner of SU2C.
References
- 1.Dvinge H et al. (2016) RNA splicing factors as oncoproteins and tumour suppressors. Nat Rev Cancer 16 (7), 413–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kim E et al. (2015) SRSF2 Mutations Contribute to Myelodysplasia by Mutant-Specific Effects on Exon Recognition. Cancer Cell 27 (5), 617–630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Popp MW-L and Maquat LE (2013) Organizing Principles of Mammalian Nonsense-Mediated mRNA Decay. Annual Review of Genetics 47 (1), 139–165. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Black KL et al. (2018) Aberrant splicing in B-cell acute lymphoblastic leukemia. Nucl Acids Res, 10.1093/nar/gky946. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Sandberg R et al. (2008) Proliferating cells express mRNAs with shortened 3′ UTRs and fewer microRNA target sites. Science 320 (5883), 1643–1647. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Singh I et al. (2018) Widespread intronic polyadenylation diversifies immune cell transcriptomes. Nature Communications 9 (1), 1716. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lee SH et al. (2018) Widespread intronic polyadenylation inactivates tumour suppressor genes in leukaemia. Nature 561 (7721), 127–131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Herzel L et al. (2017) Splicing and transcription touch base: co-transcriptional spliceosome assembly and function. Nat Rev Mol Cell Biol 18 (10), 637–650. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Jonkers I and Lis JT (2015) Getting up to speed with transcription elongation by RNA polymerase II. Nature Reviews Molecular Cell Biology 16, 167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ni TK et al. (2018) Premature polyadenylation of MAGI3 is associated with diminished N6-methyladenosine in its large internal exon. Scientific Reports 8 (1), 1415. [DOI] [PMC free article] [PubMed] [Google Scholar]

