Evidence map›Paper›PMID 41196435›Full record

ArticleMolecular biology reports2025

Targeting SRPK1 to regulate alternative splicing in prostate cancer: the roles of MALAT1 and TUG1.

Linomtha Gabada, Afra Basera, Babatunde Adebola Alabi, Zodwa Dlamini, Rahaba Marima

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Article in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Linomtha GabadaSAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision, Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, 0028, Pretoria, South Africa.
Afra BaseraSAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision, Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, 0028, Pretoria, South Africa.
Babatunde Adebola AlabiSAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision, Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, 0028, Pretoria, South Africa.
Zodwa DlaminiSAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision, Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, 0028, Pretoria, South Africa.
Rahaba MarimaSAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision, Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, 0028, Pretoria, South Africa. rahaba.marima@up.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PCa) is a leading cause of cancer-related mortality, with significant racial disparities in outcomes. Long non-coding RNAs (lncRNAs) MALAT1 and TUG1 are implicated in oncogenic pathways. Aberrant RNA splicing, a hallmark of cancer, is often driven by dysregulation of serine-arginine protein kinase 1 (SRPK1), a key spliceosome regulator. The relationship between lncRNAs of splicing factors in cancer pathways remains underexplored, and thus, this study aimed to elucidate the roles of MALAT1 and TUG1 lncRNAs in relation to the SRPK1 inhibitor SPHINX31 in PCa.

methodsBioinformatics tools were used to analyze interactions between` MALAT1, TUG1, relevant miRNAs, and target genes. A resazurin assay assessed PCa cell viability (PC-3 vs. HEK293) in response to SPHINX31 at 24 and 48 h. RT-qPCR was used to quantify MALAT1 and TUG1 lncRNAs expression levels.

resultsThe Alamar Blue assay indicated a time-dependent reduction in PC3 cell viability with 3 µM SPHINX31, particularly at 48 h. RT-qPCR revealed significant regulation of MALAT1 and TUG1, highlighting SRPK1's role in RNA pathways critical for tumor survival. SPHINX31 induced similar cytotoxic effects in HEK293 cells, illustrating the need for selective tumor specificity. MALAT1 expression was upregulated at 24 h, followed by a decline at 48 h, indicating cumulative cellular stress in PC-3 cells. DISCUSSION: This study demonstrated that SRPK1 inhibition alters lncRNA expression and splicing-related events in PCa. These findings highlight SPHINX31's potential as a therapeutic agent, especially in combination with treatments like Olaparib, necessitating further optimization for selectivity and reduced off-target effects.

Indexed as

Alternative SplicingProstatic NeoplasmsProtein Serine-Threonine KinasesRNA, Long NoncodingCell Line, TumorCell SurvivalGene Expression Regulation, NeoplasticHEK293 CellsHumansMaleMicroRNAsPC-3 CellsMALAT1 long non-coding RNA, humanMicroRNAsProtein Serine-Threonine KinasesRNA, Long NoncodingSRPK1 protein, humanTUG1 long noncoding RNA, humanAlternative splicingAngiogenesisCeRNAsLong non-coding RNAsMALAT1Prostate cancerSRPK1TUG1

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.