Aging is a complex biological process associated with nearly all diseases. Alternative splicing is increasingly recognized as an important contributor to aging and a key research pathway for extending human lifespan. In this review, we highlight the findings of alternative splicing in the hallmarks of aging including key processes such as genomic instability, telomere length, protein stability, autophagy processes, etc., as well as antagonistic hallmarks of aging such as various metabolic signals, energy metabolism, clearance of senescent cells, stem cell self-renewal, cell communication and inflammatory process, etc. We also discuss the roles of alternative splicing in age-related diseases, including neurodegenerative diseases, cardiovascular diseases, skeletal muscle-related diseases, metabolic disorders, cancer, sensory degeneration, and chronic inflammation, etc. These studies suggest that new anti-aging therapies could be developed by regulating key splicing proteins or specific splicing events.

Alternative splicing enables a single precursor mRNA to generate multiple mRNA isoforms, leading to protein variants with different structures and functions. Abnormal alternative splicing is frequently associated with cancer development and progression. Recent studies have revealed a complex and dynamic interplay between epigenetic modifications and alternative splicing. On the one hand, dysregulated epigenetic changes can alter splicing patterns; on the other hand, splicing events can influence epigenetic landscapes. The reversibility of epigenetic modifications makes epigenetic drugs, both approved and investigational, attractive therapeutic options. This review provides a comprehensive overview of the bidirectional relationship between epigenetic regulation and alternative splicing in cancer. It also highlights emerging therapeutic approaches aimed at correcting splicing abnormalities, with a special focus on drug-based strategies. These include epigenetic inhibitors, antisense oligonucleotides (ASOs), small-molecule compounds, CRISPR-Cas9 genome editing, and the SMaRT (splice-switching molecule) technology. By integrating recent advances in research and therapeutic strategies, this review provides novel insights into the molecular mechanisms of cancer and supports the development of more precise and effective therapies targeting aberrant splicing.

Isoform switching in cancer is a prevalent phenomenon with significant implications for immunotherapy, as actionable neoantigens derived from these cancer-specific events would be applicable to broad categories of patients, reducing the necessity for personalized treatments. By integrating five large-scale transcriptomic datasets comprising over 19,500 samples across 29 cancer and 54 normal tissue types, we identified cancer-associated isoform switching events common to multiple cancer types, several of which involve genes with established mechanistic roles in oncogenesis. The presence of neoantigen-containing peptides derived from these transcripts was confirmed in broad cancer and normal tissue proteome datasets and the binding affinity of predicted neoantigens to the human leukocyte antigen (HLA) complex via molecular dynamics simulations. The study presents strong evidence that isoform switching in cancer is a significant source of actionable neoantigens that have the capability to trigger an immune response. These findings suggest that isoform switching events could potentially be leveraged for broad immunotherapeutic strategies across various cancer types.

Lung cancer remains a leading cause of cancer-related mortality worldwide. Its progression is intricately associated with the dynamic regulation of autophagy and RNA-binding proteins (RBPs), which play crucial roles in mRNA stability, alternative splicing, and cellular stress responses.

This review aims to systematically analyze the mechanisms through which RBPs and autophagy contribute to lung cancer progression and explore potential therapeutic strategies targeting these pathways.

We reviewed recent studies on the molecular mechanisms by which RBPs regulate tumor proliferation, metabolic adaptation, and their interaction with autophagy. The review also examines the dual roles of autophagy in lung cancer, highlighting its context-dependent effects on cell survival and death.

The interactions and regulatory networks between RBPs and autophagy involve multiple levels of regulation. RBPs can directly influence autophagy processes and act as microRNA (miRNA) sponges to regulate mRNA stability. The modulation of RBPs affects the expression of autophagy-related genes (ATGs) and autophagosome formation. Additionally, RBPs participate in complex regulatory interactions with non-coding RNAs (ncRNAs), including long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and other proteins.

This review proposes innovative therapeutic strategies that combine RBP-targeting approaches (e.g., small molecule inhibitors, CRISPR gene editing) with autophagy modulators (e.g., mTOR inhibitors, chloroquine) to enhance treatment efficacy. Nanoparticle drug delivery systems and epigenetic regulation offer further opportunities for targeted interventions. This review lays a theoretical foundation for advancing lung cancer research and provides novel insights into synergistic therapies that target both RBPs and autophagy to improve treatment outcomes for lung cancer.

Aberrant alternative splicing is one of the hallmarks of cancer and is potentially based on upregulated expression-of-splicing factors in some types of cancer. Our previous study suggested that the splicing factor RBM39 is significantly upregulated in multiple myeloma (MM) and that its upregulation is positively associated with poor prognosis. Here, we further demonstrate that the survival and proliferation of MM cells rely on RBM39 and that RBM39 knockdown inhibits the malignant growth of MM. Indisulam, a "molecular glue" that mediates the proteasomal degradation of RBM39, has potent suppressive effects on MM both in vitro and in vivo. Deletion of RBM39 results in extensively altered splicing, with mis-splicing of MEK5 verified to inhibit the malignant growth of MM. Full-length MEK5 plays a vital role in maintaining MM cell survival, whereas aberrant MEK5 isoforms with exon loss exhibit loss of function and a propensity for proteasomal degradation. Targeting RBM39 or MEK5 synergistically increases the cytotoxicity of bortezomib in MM cells via the inhibition of p65. Our study validates the specific mechanism of RBM39 in MM, providing an approach for broader targeting and optimized therapeutic strategies for MM.

Tissue-regulated alternative exons are dictated by the interplay between cis-elements and trans-regulatory factors such as RNA-binding proteins (RBPs). Despite extensive research on splicing regulation, the full repertoire of these cis and trans features and their evolutionary dynamics across species are yet to be fully characterized. Members of the CUG-binding protein and ETR-like family (CELF) of RBPs are known to play a key role in the regulation of tissue-biased splicing patterns, and when mutated, these proteins have been implicated in a number of neurological and muscular disorders. In this study, we sought to characterize specific mechanisms that drive tissue-specific splicing in vivo of a model switch-like exon regulated by the neuronal-enriched CELF ortholog in Caenorhabditis elegans, UNC-75. Using sequence alignments, we identified deeply conserved intronic UNC-75 binding motifs overlapping the 5' splice site and upstream of the 3' splice site, flanking a strongly neural-repressed alternative exon in the Zonula Occludens gene zoo-1. We confirmed that loss of UNC-75 or mutations in either of these cis-elements lead to substantial de-repression of the alternative exon in neurons. Moreover, mis-expression of UNC-75 in muscle cells is sufficient to induce the neuron-like robust skipping of this alternative exon. Lastly, we demonstrate that overlapping an UNC-75 motif within a heterologous 5' splice site leads to increased skipping of the adjacent alternative exon in an unrelated splicing event. Together, we have demonstrated that a specific configuration and combination of cis elements bound by this important family of RBPs can achieve robust splicing outcomes in vivo.

RNA small fragment aberrances are associated with diseases by mediating a range of pathogenesis and pathological processes. DNA assembly-based barcoding and amplification technologies are currently being actively explored for RNA in situ analysis. However, these modular integrated DNA assembly processes are inevitably accompanied with false positive signals caused by unexpected misassembly. Completely avoiding this phenomenon through simple and universal methods is challenging. Here, a novel dual-input to dual-output in situ analysis paradigm is proposed, aiming to improve target specificity through co-recognition (dual-input) and to eliminate false positive misassembly through fluorescent signal co-localization (dual-output). Based on this paradigm, Gemini molecular assembly co-localization (GOAL) in situ imaging system is launched to accurately distinguish the fusion gene subtypes associated with chronic myeloid leukemia (CML), and to precisely report the proportion of minimum residual cancer cells in clinical samples by intelligent co-localization counting and sorting. GOAL achieves highly sensitive and accurate genotyping recognition of 0.01% CML tumor cells and realizes fully automatic rapid diagnosis with a customized Intelligent Cell Image Sorter (iCis). iCis-assisted GOAL represents an innovative and versatile molecular toolkit for accurate, rapid, user-friendly, and professional-independent profiling of cancer cells with RNA small fragment aberrances, providing efficient clinical decision support for disease diagnosis.

Perturbation of mRNA splicing is commonly observed in human cancers and plays a role in various aspects of cancer hallmarks. Understanding the mechanisms and functions of alternative splicing (AS) not only enables us to explore the complex regulatory network involved in tumour initiation and progression but also reveals potential for RNA-based cancer treatment strategies. This review provides a comprehensive summary of the significance of AS in liver cancer, covering the regulatory mechanisms, cancer-related AS events, abnormal splicing regulators, as well as the interplay between AS and post-transcriptional and post-translational regulations. We present the current bioinformatic approaches and databases to detect and analyse AS in cancer, and discuss the implications and perspectives of AS in the treatment of liver cancer.

Lung cancer is one of the most frequently diagnosed cancers in the US. African-American (AA) men are more likely to develop lung cancer with higher incidence and mortality rates than European-American (EA) men. Herein, we report high-confidence alternative splicing (AS) events from high-throughput, high-depth total RNA sequencing of lung tumors and non-tumor adjacent tissues (NATs) in two independent cohorts of patients with adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). We identified novel AS biomarkers with notable differential percent spliced in (PSI) values between lung tumors and NATs enriched in the AA and EA populations, which were associated with oncogenic signaling pathways. We also uncovered tumor subtype- and population-specific AS events associated with cell surface proteins and cancer driver genes. We highlighted significant AS events in SYNE2 specific to LUAD in both populations, as well as those in CD44 from EAs and TMBIM6 from AAs specific to LUAD. Here, we also present the validation of cancer signatures based on direct high-throughput reverse transcription-PCR. Our large survey of lung tumors presents a rich data resource that may help to understand molecular subtypes of lung tumor between AAs and EAs and reveal new therapeutic vulnerabilities that potentially advance health equity.

Triclosan (TCS) is an effective broad-spectrum antibacterial agent. TCS possesses a stable structure, can easily accumulate in the environment, and may have numerous negative impacts on human health. One organ particularly susceptible to TCS damage is the liver; however, the molecular mechanisms underlying TCS-induced liver damage remain unclear. A long-term TCS exposure model was established in C57BL/6 mice through maternal administration from gestation to postnatal 8-week-old. The offspring were randomly assigned to three groups (0, 50, and 100 mg/kg TCS) with six animals per group, ensuring an equal gender distribution (3 males and 3 females). The results showed that TCS-exposed mice exhibited serum aspartate aminotransferase, alanine aminotransferase, and alkaline phosphatase enzyme activities increased by 1.5-2 times when compared with vehicle-treated mice, along with features of liver fibrosis. In the LX-2 cell line, used as an in vitro model, TCS promoted proliferation and migration and induced the activation of hepatic stellate cells (HSCs). The level of pyruvate kinase M2 (PKM2) dimer increased by 200 % in LX-2 cells treated with TCS. PKM2 dimer overexpression stimulated HSC activation, whereas treatment with TEPP-46 (a PKM2 dimer inhibitor) significantly decreased the activation process. The expression of heterogeneous ribonucleoprotein particle A1 (hnRNPA1) was upregulated in the TCS treatment group and promoted the PKM2 expression. Moreover, disruption of the hnRNPA1/PKM2 axis reduced HSC proliferation and migration activated by TCS. Overall, our findings highlighted that TCS could cause liver fibrosis by stimulating the proliferation and migration of HSCs activated via the hnRNPA1/PKM2 axis, providing promising treatment options for TCS-related liver damage.

Cancer neoantigens are peptides that originate from alterations in the genome, transcriptome, or proteome. These peptides can elicit cancer-specific T-cell recognition, making them potential candidates for cancer vaccines. The rapid advancement of proteomics technology holds tremendous potential for identifying these neoantigens. Here, we provided an up-to-date survey about database-based search methods and de novo peptide sequencing approaches in proteomics, and we also compared these methods to recommend reliable analytical tools for neoantigen identification. Unlike previous surveys on mass spectrometry-based neoantigen discovery, this survey summarizes the key advancements in de novo peptide sequencing approaches that utilize artificial intelligence. From a comparative study on a dataset of the HepG2 cell line and nine mixed hepatocellular carcinoma proteomics samples, we demonstrated the potential of proteomics for the identification of cancer neoantigens and conducted comparisons of the existing methods to illustrate their limits. Understanding these limits, we suggested a novel workflow for neoantigen discovery as perspectives.

Many cancer cells depend on exogenous methionine for proliferation, whereas non-tumorigenic cells can divide in media supplemented with the metabolic precursor homocysteine. This phenomenon is known as methionine dependence of cancer or methionine addiction. The underlying mechanisms driving this cancer-specific metabolic addiction are poorly understood. Here we find that methionine dependence is associated with severe dysregulation of pre-mRNA splicing.

We used triple-negative breast cancer cells and their methionine-independent derivatives R8 to compare RNA expression profiles in methionine and homocysteine growth media. The data set was also analyzed for alternative splicing.

When tumorigenic cells were cultured in homocysteine medium, cancer cells failed to efficiently methylate the spliceosomal snRNP component SmD1, which resulted in reduced binding to the Survival-of-Motor-Neuron protein SMN leading to aberrant splicing. These effects were specific for cancer cells as neither Sm protein methylation nor splicing fidelity was affected when non-tumorigenic cells were cultured in homocysteine medium. Sm protein methylation is catalyzed by Protein Arginine Methyl Transferase 5 (Prmt5). Reducing methionine concentrations in the culture medium sensitized cancer cells to Prmt5 inhibition supporting a mechanistic link between methionine dependence of cancer and splicing.

Our results link nutritional demands to splicing changes and thereby provide a link between the cancer-specific metabolic phenomenon, described as methionine addiction over 40 years ago, with a defined cellular pathway that contributes to cancer cell proliferation.

Aberrant alternative splicing and abnormal alternative splicing events (ASEs) in glioblastoma multiforme (GBM) remain largely elusive. The prognostic-associated ASEs in GBM were identified and summarized into 123 genes using GBM and LGG datasets from ASCancer Atlas and TCGA. The eleven genes (C2, COL3A1, CTSL, EIF3L, FKBP9, FN1, HPCAL1, HSPB1, IGFBP4, MANBA, PRKAR1B) were screened to develop an alternative splicing prognostic risk score (ASRS) model through machine learning algorithms. The model was trained on the TCGA-GBM cohort and validated with four external datasets from CGGA and GEO, achieving AUC values of 0.808, 0.814, 0.763, 0.859, and 0.836 for 3-year survival rates, respectively. ASRS could be an independent prognostic factor for GBM patients (HR > 1.8 across three datasets) through multivariate Cox regression analysis. The high-risk group demonstrated poorer prognosis, elevated immune scores, increased levels of immune cell infiltration, and greater differences in drug sensitivity. We found that FN1, used for model construction, contained 4 abnormal ASEs resulting in high expression of non-canonical transcripts and the presence of premature termination codon. These abnormal ASEs may be regulated by tumour-related splicing factors according to the PPI network. Furthermore, both mRNA and protein levels of FN1 were highly expressed in GBM compared to LGG, correlating with poor prognosis in GBM. In conclusion, our findings highlight the role of ASEs in affecting the progression of GBM, and the model showed a potential application for prognostic risk of patients. FN1 may serve as a promising splicing biomarker for GBM, and mechanisms of processes of aberrant splicing need to be revealed in the future.

Ewing sarcomas (ESs) are biologically aggressive tumours of bone and soft tissues caused by chromosomal translocations yielding in-frame fusion proteins driving the neoplastic transformation. The DNA/RNA helicase DHX9 is an important regulator of cellular processes often deregulated in cancer. Using transcriptome profiling, our study reveals cancer-relevant genes whose splicing is modulated by DHX9. Immunodepletion experiments demonstrate that DHX9 impacts on the recruitment of U2 small nuclear RNP (snRNP) onto the pre-mRNA. Analysis of structure and sequence features of DHX9 target exons reveal that DHX9-sensitive exons display shorter flanking introns and contain HNRNPC and TIA1 consensus motifs. A prominent target of DHX9 is exon 11 in the Cortactin (CTTN) gene, which is alternatively spliced to generate isoforms with different activities in cell migration and tumour invasion. Alternative inclusion of the exon 11 in CTTN gene is one of the most recurrent isoform switches in multiple cancer types, thus highlighting the pivotal role of DHX9 in defining the tumour phenotype. Biochemical analyses reveal that DHX9 binding promotes the recruitment of U2snRNP, SF3B1, and SF3A2 to the splice sites flanking exon 11. These findings uncover a new role of DHX9 in the control of co-transcriptional splicing in ES, which may represent a new druggable target to counteract ES malignancy.

The mRNA splicing machinery has been estimated to generate 100,000 known protein-coding transcripts for 20,000 human genes (Ensembl, Sept. 2024). However, this set is expanding with the massive and rapidly growing data coming from high-throughput technologies, particularly single-cell and long-read sequencing. Yet, the implications of splicing complexity at the protein level remain largely uncharted. In this review, we describe the current advances toward systematically assessing the contribution of alternative splicing to proteome function diversification. We discuss the potential and challenges of using artificial intelligence-based techniques in identifying alternative splicing proteoforms and characterising their structures, interactions, and functions.

Hepatocellular carcinoma (HCC) is the most prevalent liver cancer and a leading cause of cancer-related deaths worldwide. Heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) plays a critical role in RNA metabolism, including alternative splicing, which is linked to cancer progression. Our study investigated the role of hnRNPA1 in HCC and its potential as a therapeutic target.

We analyzed hnRNPA1 expression in HCC tissues compared to non-tumor tissues using RNA-seq and immunohistochemistry. hnRNPA1 was knocked down in Hep G2 cells to assess its impact on cell proliferation, migration, and apoptosis using scratch assays, flow cytometry, qPCR, and Western blot. We also explored the interaction between hnRNPA1 and ZNF207, as well as its splicing effects and downstream signaling pathways by RIP assay, bioinformatics, qPCR and Western blot.

hnRNPA1 was significantly upregulated in HCC tissues compared to normal tissues, correlating with poor patient survival. hnRNPA1 knockdown reduced Hep G2 cell proliferation and migration while increasing apoptosis. We identified that hnRNPA1 bound to ZNF207 and regulated its exon 9 skipping, influencing ZNF207 splicing and the PI3K/Akt/mTOR pathway, key regulators of cell growth and survival.

Our findings demonstrate that hnRNPA1 promotes HCC progression by regulating ZNF207 splicing and the PI3K/Akt/mTOR pathway. hnRNPA1-ZNF207 interaction represents a potential therapeutic target for HCC, providing insights into the molecular mechanisms underlying HCC progression.

Eukaryotic genes can encode multiple distinct transcripts through the alternative splicing (AS) of genes. Interest in the AS mechanism and its evolution across different species has stimulated numerous studies, leading to several databases that provide information on AS and transcriptome data across multiple eukaryotic species. However, existing resources do not offer information on transcript conservation and evolution between genes of multiple species. Similarly to genes, identifying conserved transcripts-those from homologous genes that have retained a similar exon composition-is useful for determining transcript homology relationships, studying transcript functions and reconstructing transcript phylogenies. To address this gap, we have developed TranscriptDB, a database dedicated to studying the conservation and evolution of transcripts within gene families. TranscriptDB offers an extensive catalog of conserved transcripts and phylogenies for 317 annotated eukaryotic species, sourced from Ensembl database version 111. It serves multiple purposes, including the exploration of gene and transcript evolution. Users can access TranscriptDB through various browsing and querying tools, including a user-friendly web interface. The incorporated web servers enable users to retrieve information on transcript evolution using their own data as input. Additionally, a REST application programming interface is available for programmatic data retrieval. A data directory is also available for bulk downloads. TranscriptDB and its resources are freely accessible at https://transcriptdb.cobius.usherbrooke.ca.

Endometrial cancer (EC) is a common gynaecological malignancy associated with metabolic dysfunctions such as obesity, diabetes and insulin resistance, as well as hormonal imbalances, particularly involving oestrogen and progesterone. These factors disrupt normal cellular metabolism, heightening the risk of developing endometrioid EC (EEC), the most prevalent subtype of EC. The insulin-like growth factor-1 (IGF1) pathway, a key regulator of growth, metabolism, and organ function, is implicated in EC progression. Recent research highlights the distinct roles of IGF1 isoforms, including IGF1-Ea, IGF1-Eb, and IGF1-Ec, in promoting tumour growth, metastasis, and hormone signalling interactions, particularly with oestrogen. This review examines the function and clinical significance of IGF-1 isoforms, emphasising their mechanisms in gynaecological physiology and their contributions to EC pathogenesis. Evidence from other cancers further underscores the relevance of IGF1 isoforms in driving tumour behaviours, offering valuable insights into their potential as biomarkers and therapeutic targets. Understanding these mechanisms provides opportunities for novel approaches to the prevention, diagnosis, and treatment of EC, improving patient outcomes and advancing the broader field of hormone-driven cancers.

The progression of hepatocellular carcinoma (HCC) is coincident with aberrant splicing of numerous tumor-related genes. Identification of the tumor-specific splice variants that facilitate HCC metastasis may provide a more comprehensive insight into the mechanisms of HCC metastasis. Through RNA sequencing and bioinformatic analyses, PPM1G was identified as a biomarker associated with HCC metastasis. Our data mapped a transcriptome-wide landscape of alternative splicing events modulated by PPM1G in HCC. Notably, we characterized the exon six-skipping transcript of TBL1X as an onco-splice variant regulated by PPM1G. Experimental validation revealed the enrichment of TBL1X-S in response to PPM1G overexpression. Moreover, mRNA stability analyses revealed that PPM1G prolonged the half-life of the TBL1X-S transcript. Both PPM1G and TBL1X-S exhibited metastasis-promoting phenotypes, with PPM1G-driven metastasis in HCC being partially dependent on TBL1X-S. Mechanistically, different TBL1X splice variants showed varying affinities for ZEB1, with TBL1X-S significantly enhancing ZEB1 activation and repressing CDH1 transcription, potentially accelerating the epithelial-mesenchymal transition (EMT) process. In conclusion, our study highlights the biological role of PPM1G and TBL1X-S in tumor metastasis. The PPM1G/TBL1X-S signaling axis presents a new view for investigating liver cancer metastasis mechanisms.

Gene regulation is frequently altered in diseases in unique and patient-specific ways. Hence, personalised strategies have been proposed to infer patient-specific gene-regulatory networks. However, existing methods do not scale well because they often require recomputing the entire network per sample. Moreover, they do not account for clinically important confounding factors such as age, sex or treatment history. Finally, a user-friendly implementation for the analysis and interpretation of such networks is missing.

We present DysRegNet, a method for inferring patient-specific regulatory alterations (dysregulations) from bulk gene expression profiles. We compared DysRegNet to the well-known SSN method, considering patient clustering, promoter methylation, mutations and cancer-stage data.

We demonstrate that both SSN and DysRegNet produce interpretable and biologically meaningful networks across various cancer types. In contrast to SSN, DysRegNet can scale to arbitrary sample numbers and highlights the importance of confounders in network inference, revealing an age-specific bias in gene regulation in breast cancer. DysRegNet is available as a Python package (https://github.com/biomedbigdata/DysRegNet_package), and analysis results for 11 TCGA cancer types are available through an interactive web interface (https://exbio.wzw.tum.de/dysregnet).

DysRegNet introduces a novel bioinformatics tool enabling confounder-aware and patient-specific network analysis to unravel regulatory alteration in complex diseases.

Clarification of cisplatin resistance may provide new targets for therapy in cisplatin resistant ovarian cancer. The current study aims to explore involvement of isoforms of AU-rich element RNA-binding protein 1 (AUF1) in cisplatin resistance in ovarian cancer.

The cancer stem cell-like features were analyzed using colony formation assay, tumor sphere formation assay and nude mouse xenograft experiments. AUF1 isoforms expression was analyzed using immunoblotting, qRT-PCR, and immunohistochemistry. RIP and Biotin pulldown was used to analyze the interaction of SRSF2 and hnRNPA1 with AUF1 transcript. Transcriptome regulated by AUF1 isoforms was analyzed by RNA-seq.

The current study demonstrated differential expression of AUF1 isoforms in cisplatin sensitive and resistant ovarian cancer tissues and cells. P37 isoform promoted proliferation, while p45 isoform enhanced responsiveness of ovarian cancer cells to cisplatin. the clonal formation capacity of the cells, and the restoration of p45 expression reduced the capacity with cisplatin treatment. The competitive binding of phosphorylated hnRNPA1 and O-GlcNAc-modified SRSF2 on AUF1 exon 2 and exon 7 regulated the alternative splicing of AUF1.

The competitive binding of phosphorylated hnRNPA1 and O-GlcNAc modified SRSF2 on exon 2 and exon 7 regulated the alternative splicing of AUF1 and subsequent isoform expression. P37 isoform played a "cancer promoter" role, p42 and p45, especially p45 played a "cancer suppressor" role in ovarian cancer. This study provides a new target for exploring the drug resistance mechanism of ovarian cancer.

Splicing factors are affected by recurrent somatic mutations and copy number variations in several types of haematologic and solid malignancies, which is often seen as prima facie evidence that splicing aberrations can drive cancer initiation and progression. However, numerous spliceosome components also 'moonlight' in DNA repair and other cellular processes, making their precise role in cancer difficult to pinpoint. Still, few would deny that dysregulated mRNA splicing is a pervasive feature of most cancers. Correctly interpreting these molecular fingerprints can reveal novel tumour vulnerabilities and untapped therapeutic opportunities. Yet multiple technological challenges, lingering misconceptions, and outstanding questions hinder clinical translation. To start with, the general landscape of splicing aberrations in cancer is not well defined, due to limitations of short-read RNA sequencing not adept at resolving complete mRNA isoforms, as well as the shallow read depth inherent in long-read RNA-sequencing, especially at single-cell level. Although individual cancer-associated isoforms are known to contribute to cancer progression, widespread splicing alterations could be an equally important and, perhaps, more readily actionable feature of human cancers. This is to say that in addition to 'repairing' mis-spliced transcripts, possible therapeutic avenues include exacerbating splicing aberration with small-molecule spliceosome inhibitors, targeting recurrent splicing aberrations with synthetic lethal approaches, and training the immune system to recognize splicing-derived neoantigens.

Gene Ontology overrepresentation analysis (GO-ORA) is a standard approach towards characterizing salient functional characteristics of sets of differentially expressed genes (DGE) in RNA sequencing (RNA-seq) experiments. GO-ORA compares the distribution of GO annotations of the DGE to that of all genes or all expressed genes. This approach has not been available to characterize differential alternative splicing (DAS). Here, we introduce a desktop application called isopretGO for visualizing the functional implications of DGE and DAS that leverages our previously published machine-learning predictions of GO annotations for individual isoforms. We show based on an analysis of 100 RNA-seq datasets that DAS and DGE frequently have starkly different functional profiles. We present an example that shows how isopretGO can be used to identify functional shifts in RNA-seq data that can be attributed to differential splicing.

Transcript variants and protein isoforms are central to unique tissue functions and maintenance of homeostasis, in addition to being associated with aberrant states such as cancer, where their crosstalk with the mutated tumor suppressor p53 may contribute to genomic instability and chromosomal rearrangements. We previously identified several novel splice variants in ovarian cancer RNA-sequencing datasets; herein, we aimed to elucidate the biological effects of the Integrin Subunit Beta 8 variant (termed pITGB8-205).

Resolution of the full-length sequence of pITGB8-205 through rapid amplification of cDNA ends (RACE-PCR). Cell cycle analysis and karyotype studies were performed to further explore genomic instability. RNA-seq and proteomics analyses were used to identify the differential expression of the genes.

This full-length study revealed a unique 5' sequence in pITGB8-205 that differed from the reported ITGB8-205 sequence, suggesting differential regulation of this novel transcript. Under a p53 mutant background, overexpression of pITGB8-205 triggered genetic instability reminiscent of oncogene-induced replicative stress with extensive abnormal mitoses and chromosomal and nuclear aberrations indicative of chromosomal instability, leading to near whole-genome duplication that imposes energy stress on cellular resources. Micronuclei and aneuploidy are striking features of pITGB8-205-overexpressing p53-mutant cells but are not enhanced in p53 wild-type (WT) cells. RNA-seq and proteomics analyses further suggested that p53 inactivation in ovarian cancer provides a permissive intracellular molecular niche for pITGB8-205 to mediate its effects on genomic instability. This observation is pivotal considering that most high-grade serous ovarian carcinoma (HGSC) tumors express mutant p53. The resulting aneuploid clones with enhanced self-renewal and survival capabilities disrupt clonal dominance under stress yet maintain a balance between replicative stress and prosurvival advantages.

pITGB8-205-overexpressing clones sustain ovarian tumor cell survival, achieve homeostasis and are formidable opponents of therapy.

Phosphoinositide 3-kinase (PI3K) is responsible for phosphorylating phosphoinositides to generate secondary signaling molecules crucial for regulating various cellular processes, including cell growth, survival, and metabolism. The PI3K is a heterodimeric enzyme complex comprising of a catalytic subunit (p110α, p110β, or p110δ) and a regulatory subunit (p85). The binding of the regulatory subunit, p85, with the catalytic subunit, p110, forms an integral component of the PI3K enzyme. PIK3R1 (phosphoinositide-3-kinase regulatory subunit 1) belongs to class IA of the PI3K family. PIK3R1 exhibits structural complexity due to alternative splicing, giving rise to distinct isoforms, prominently p85α and p55α. While the primary p85α isoform comprises multiple domains, including Src homology 3 (SH3) domains, a Breakpoint Cluster Region Homology (BH) domain, and Src homology 2 (SH2) domains (iSH2 and nSH2), the shorter isoform, p55α, lacks certain domains present in p85α. In this review, we will highlight the intricate regulatory mechanisms governing PI3K signaling along with the impact of PIK3R1 alterations on cellular processes. We will further delve into the clinical significance of PIK3R1 mutations in various cancer types and their implications for prognosis and treatment outcomes. Additionally, we will discuss the evolving landscape of targeted therapies aimed at modulating PI3K-associated pathways. Overall, this review will provide insights into the dynamic interplay of PIK3R1 in cancer, fostering advancements in precision medicine and the development of targeted interventions.

Glioblastoma multiforme (GBM) is a highly severe primary brain tumor. Despite extensive research, effective treatments remain elusive. Long noncoding RNAs (lncRNAs) play a significant role in both cancer and normal biology. They influence alternative splicing (AS), which is crucial in cancer. Advances in lncRNA-specific microarrays and next-generation sequencing have enhanced understanding of AS. Abnormal AS contributes to cancer invasion, metastasis, apoptosis, therapeutic resistance, and tumor development, including glioma. lncRNA-mediated AS affects several cellular signaling pathways, promoting or suppressing cancer malignancy. This review discusses the lncRNAs regulating AS in glioblastoma and their mechanisms.

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer, characterized by late diagnosis and poor treatment response. Surgery is the only curative approach, only available to early-diagnosed patients. Current therapies have limited effects, cause severe toxicities, and minimally improve overall survival. Understanding of splicing machinery alterations in PDAC remains incomplete. Here, we comprehensively examined 59 splicing machinery components, uncovering dysregulation in pre-mRNA processing factor 8 (PRPF8) and RNA-binding motif protein X-linked (RBMX). Their downregulated expression was linked to poor prognosis and malignancy features, including tumor stage, invasion and metastasis, and associated with poorer survival and the mutation of key PDAC genes. Experimental modulation of these splicing factors in pancreatic cancer cell lines reverted their expression to non-tumor levels and resulted in decreased key tumor-related features. These results provide evidence that the splicing machinery is altered in PDAC, wherein PRPF8 and RBMX emerge as candidate actionable therapeutic targets.

T cell-redirecting therapies (TCRTs), such as chimeric antigen receptor (CAR) or T cell receptor (TCR) T cells and T cell engagers, have emerged as a highly effective treatment modality, particularly in the B and plasma cell-malignancy setting. However, many patients fail to achieve deep and durable responses; while the lack of truly unique tumor antigens, and concurrent on-target/off-tumor toxicities, have hindered the development of TCRTs for many other cancers. In this review, we discuss the recent developments in TCRT targets for hematological malignancies, as well as novel targeting strategies that aim to address these, and other, challenges.

Aberrant alternative splicing (AS) is a prominent hallmark of cancer. AS can perturb protein-protein interactions (PPIs) by adding or removing interface regions encoded by individual exons. Identifying prognostic exon-exon interactions (EEIs) from PPI interfaces can help discover AS-affected cancer-driving PPIs that can serve as potential drug targets. Here, we assessed the prognostic significance of EEIs across 15 cancer types by integrating RNA-seq data with three-dimensional (3D) structures of protein complexes. By analyzing the resulting EEI network we identified patient-specific perturbed EEIs (i.e., EEIs present in healthy samples but absent from the paired cancer samples or vice versa) that were significantly associated with survival. We provide the first evidence that EEIs can be used as prognostic biomarkers for cancer patient survival. Our findings provide mechanistic insights into AS-affected PPI interfaces. Given the ongoing expansion of available RNA-seq data and the number of 3D structurally-resolved (or confidently predicted) protein complexes, our computational framework will help accelerate the discovery of clinically important cancer-promoting AS events.

Alternative splicing (AS) has significant clinical relevance with cancers and is a potential source of neoepitopes. In this study, RNA-seq data of 94 solid tumor and matched adjacent normal tissues from 47 clinical patients covering nine cancer types were comprehensively analyzed using SUVA developed by ourselves. The results identified highly conserved pan-cancer differential alternative splicing (DAS) events and cancer-specific DAS events in a series of tumor samples, which in turn revealed the heterogeneity of AS post-transcriptional regulation across different cancers. The co-disturbed network between spliceosome factors (SFs) and common cancer-associated DAS was further constructed, suggesting the potential possibility of the regulation of differentially expressed SFs on DAS. Finally, the common cancer-associated DAS events were fully validated using the TCGA dataset, confirming the significant correlation between cancer-associated DAS and prognosis. Briefly, our study elucidates new insights into conservatived and specific DAS in cancer, providing valuable resources for cancer therapeutic targets.

Genome-wide association studies (GWASs) have revealed numerous loci associated with breast cancer risk, yet the precise causal variants, their impact on molecular mechanisms, and the affected genes often remain elusive. We hypothesised that specific variants exert their influence by affecting cis-regulatory alternative splice elements. An analysis of splicing quantitative trait loci (sQTL) in healthy breast tissue from female individuals identified multiple variants linked to alterations in splicing ratios. Through colocalisation analysis, we pinpointed 43 variants within twelve genes that serve as candidate causal links between sQTL and GWAS findings. In silico splice analysis highlighted a potential mechanism for three genes-FDPS, SGCE, and MRPL11-where variants in proximity to or on the splice site modulate usage, resulting in alternative splice transcripts. Further in vitro/vivo studies are imperative to fully understand how these identified changes contribute to breast oncogenesis. Moreover, investigating their potential as biomarkers for breast cancer risk could enhance screening strategies and early detection methods for breast cancer.

Alternative splicing is crucial for cancer progression and can be targeted pharmacologically, yet identifying driver exons genome-wide remains challenging. We propose identifying such exons by associating statistically gene-level cancer dependencies from knockdown viability screens with splicing profiles and gene expression. Our models predict the effects of splicing perturbations on cell proliferation from transcriptomic data, enabling in silico RNA screening and prioritizing targets for splicing-based therapies. We identified 1,073 exons impacting cell proliferation, many from genes not previously linked to cancer. Experimental validation confirms their influence on proliferation, especially in highly proliferative cancer cell lines. Integrating pharmacological screens with splicing dependencies highlights the potential driver exons affecting drug sensitivity. Our models also allow predicting treatment outcomes from tumor transcriptomes, suggesting applications in precision oncology. This study presents an approach to identifying cancer driver exon and their therapeutic potential, emphasizing alternative splicing as a cancer target.

RNA-binding proteins (RBPs) play critical roles in genome regulation. In this study, we explored the latent function of KPNA2, which is an essential member of the RBP family, in the regulation of alternative splicing (AS) in gastric cancer (GC). We analyzed the role of KPNA2 in regulating differential expression and AS via RNA sequencing (RNA-seq) and improved RNA immunoprecipitation sequencing (iRIP-seq). Clinical specimens were used to analyze the associations between KPNA2 expression and clinicopathological characteristics. CCK8 assays, transwell assays and wound healing assays were performed to explore the effect of KPNA2/WDR62 on GC cell progression. KPNA2 was shown to be highly expressed in GC cells and tissues and associated with lymph node metastases. KPNA2 promoted the proliferation, migration and invasion of GC cells and primarily regulated exon skipping, alternative 3's splice sites (A3SSs), alternative 5' splice sites (A5SSs), and cassette exons. We further revealed that KPNA2 participated in biological processes related to cell proliferation, and the immune response in GC via the regulation of transcription. In addition, KPNA2 preferentially bound to intron regions. Notably, KPNA2 regulated the A3SS AS mode of WDR62, and upregulation of WDR62 reversed the KPNA2 downregulation-induced inhibition of GC cell proliferation, migration and invasion. Finally, we discovered that the AS of immune-related molecules could be regulated by KPNA2. Overall, our results demonstrated for the first time that KPNA2 functions as an oncogenic splicing factor in GC that regulated the AS and differential expression of GC-related genes, and KPNA2 may be a potential target for GC treatment.

CRISPR-Cas technology has transformed functional genomics, yet understanding of how individual exons differentially shape cellular phenotypes remains limited. Here, we optimized and conducted massively parallel exon deletion and splice-site mutation screens in human cell lines to identify exons that regulate cellular fitness. Fitness-promoting exons are prevalent in essential and highly expressed genes and commonly overlap with protein domains and interaction interfaces. Conversely, fitness-suppressing exons are enriched in nonessential genes, exhibiting lower inclusion levels, and overlap with intrinsically disordered regions and disease-associated mutations. In-depth mechanistic investigation of the screen-hit TAF5 alternative exon-8 revealed that its inclusion is required for assembly of the TFIID general transcription initiation complex, thereby regulating global gene expression output. Collectively, our orthogonal exon perturbation screens established a comprehensive repository of phenotypically important exons and uncovered regulatory mechanisms governing cellular fitness and gene expression.

Glioblastoma multiforme (GBM) is the most common and aggressive primary brain tumor, making it one of the most life-threatening human cancers. Nevertheless, research on the mechanism of action between alternative splicing (AS) and splicing factor (SF) or biomarkers in GBM is limited. AS is a crucial post-transcriptional regulatory mechanism. More than 95% of human genes undergo AS events. AS can diversify the expression patterns of genes, thereby increasing the diversity of proteins and playing a significant role in the occurrence and development of tumors. In this study, we downloaded 599 clinical data and 169 transcriptome analysis data from The Cancer Genome Atlas (TCGA) database. Besides, we collected AS data about GBM from TCGA-SpliceSeq. The overall survival (OS) related AS events in GBM were determined through least absolute shrinkage and selection operator (Lasso) and Cox analysis. Subsequently, the association of these 1825 OS-related AS events with patient survival was validated using the Kaplan-Meier survival analysis, receiver operating characteristic curve, risk curve analysis, and independent prognostic analysis. Finally, we depicted the AS-SF regulatory network, illustrating the interactions between splicing factors and various AS events in GBM. Additionally, we identified three splicing factors (RNU4-1, SEC31B, and CLK1) associated with patient survival. In conclusion, based on AS occurrences, we developed a predictive risk model and constructed an interaction network between GBM-related AS events and SFs, aiming to shed light on the underlying mechanisms of GBM pathogenesis and progression.

Epithelial to mesenchymal transition (EMT) is a physiological process during development where epithelial cells transform to acquire mesenchymal characteristics, which allows them to migrate and colonize secondary tissues. Many cellular signaling pathways and master transcriptional factors exert a myriad of controls to fine tune this vital process to meet various developmental and physiological needs. Adding to the complexity of this network are post-transcriptional and post-translational regulations. Among them, alternative splicing has been shown to play important roles to drive EMT-associated phenotypic changes, including actin cytoskeleton remodeling, cell-cell junction changes, cell motility and invasiveness. In advanced cancers, transforming growth factor-β (TGF-β) is a major inducer of EMT and is associated with tumor cell metastasis, cancer stem cell self-renewal, and drug resistance. This review aims to provide an overview of recent discoveries regarding alternative splicing events and the involvement of splicing factors in the EMT and TGF-β signaling. It will emphasize the importance of various splicing factors involved in EMT and explore their regulatory mechanisms.

Neoantigens are promising targets for cancer immunotherapies and might arise from alternative splicing. However, detecting tumor-specific splicing is challenging because many non-canonical splice junctions identified in tumors also appear in healthy tissues. To increase tumor-specificity, we focused on splicing caused by somatic mutations as a source for neoantigen candidates in individual patients.

We developed the tool splice2neo with multiple functionalities to integrate predicted splice effects from somatic mutations with splice junctions detected in tumor RNA-seq and to annotate the resulting transcript and peptide sequences. Additionally, we provide the tool EasyQuant for targeted RNA-seq read mapping to candidate splice junctions. Using a stringent detection rule, we predicted 1.7 splice junctions per patient as splice targets with a false discovery rate below 5% in a melanoma cohort. We confirmed tumor-specificity using independent, healthy tissue samples. Furthermore, using tumor-derived RNA, we confirmed individual exon-skipping events experimentally. Most target splice junctions encoded neoepitope candidates with predicted major histocompatibility complex (MHC)-I or MHC-II binding. Compared to neoepitope candidates from non-synonymous point mutations, the splicing-derived MHC-I neoepitope candidates had lower self-similarity to corresponding wild-type peptides. In conclusion, we demonstrate that identifying mutation-derived, tumor-specific splice junctions can lead to additional neoantigen candidates to expand the target repertoire for cancer immunotherapies.

The R package splice2neo and the python package EasyQuant are available at https://github.com/TRON-Bioinformatics/splice2neo and https://github.com/TRON-Bioinformatics/easyquant, respectively.