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Updated: May 8, 2025

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
The splicing machinery is dysregulated and represents a therapeutic vulnerability in breast cancer
Natalia Hermán-Sánchez1,2,3,4, Miguel E G-García1,2,3,4, Juan M Jiménez-Vacas1,2,3,4
1Maimónides Institute of Biomedical Research of Córdoba (IMIBIC), IMIBIC building. Av. Menéndez Pidal s/n, Córdoba, 14004, Spain.
Abstract:
Breast cancer (BCa) is a highly prevalent pathological condition (̴30% in women) with limited and subtype-dependent prognosis and therapeutic options. Therefore, BCa management might benefit from the identification of novel molecular elements with clinical potential. Since splicing process is gaining a great relevance in cancer, this work analysed the expression of multiple Spliceosome Components (SCs = 17) and Splicing Factors (SFs = 26) and found a drastic dysregulation in BCa (n = 69) vs. control (negative biopsies; n = 50) samples. Among all the components analysed, we highlight the upregulation of ESRP1 and down-regulation of PRPF8 and NOVA1 in BCa vs. control samples. Indeed, ESRP1 was specially overexpressed in triple-negative BCa (TNBCa) and associated with worse prognosis (i.e., higher BCa grade and lower overall survival), suggesting an association of ESRP1 with BCa aggressiveness. On the other hand, PRPF8 expression was generally downregulated in BCa with no associations to clinical characteristics, while NOVA1 expression was lower in TNBCa patients and highly aggressive tumours. Consistently, NOVA1 overexpression in vitro reduced functional parameters of aggressiveness in ER-/PR- cell lines (MDA-MB-231 and BT-549) but not in ER+/PR+ cells (MCF7), suggesting a critical role of NOVA1 in subtype-specific BCa. Finally, the in vitro pharmacological inhibition of splicing machinery using pladienolide B decreased aggressiveness features in all the BCa cell lines, showing a subtype-independent inhibitory potential, but being relatively innocuous in normal-like breast cells. These results demonstrate the profound dysregulation of the splicing machinery in BCa and their potential as source of promising diagnosis/prognosis markers, as well as valuable therapeutic targets for BCa.
Insights
Breast cancer (BCa) management can be improved by targeting the splicing machinery. Key spliceosome components like ESRP1, PRPF8, and NOVA1 are dysregulated in BCa, offering potential diagnostic and therapeutic targets.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Breast cancer (BCa) has limited subtype-specific prognosis and treatment options.
- The splicing process is increasingly recognized for its role in cancer development.
- Novel molecular markers are needed for improved BCa management.
Purpose of the Study:
- To investigate the expression of spliceosome components (SCs) and splicing factors (SFs) in breast cancer.
- To identify potential diagnostic/prognostic markers and therapeutic targets within the splicing machinery.
Main Methods:
- Analysis of 17 SCs and 26 SFs expression in 69 BCa and 50 control breast tissue samples.
- Correlation of SC/SF expression with BCa subtypes, grade, and overall survival.
- In vitro studies using BCa cell lines to assess the functional impact of NOVA1 and splicing inhibition.
Main Results:
- Significant dysregulation of SCs and SFs observed in BCa samples compared to controls.
- ESRP1 was upregulated in BCa, particularly in triple-negative BCa (TNBCa), and associated with worse prognosis.
- PRPF8 was generally downregulated, while NOVA1 was downregulated in TNBCa and aggressive tumors, with NOVA1 showing subtype-specific effects on aggressiveness.
- Pharmacological inhibition of splicing machinery reduced BCa cell line aggressiveness in a subtype-independent manner.
Conclusions:
- The splicing machinery is profoundly dysregulated in breast cancer.
- ESRP1, PRPF8, and NOVA1 are potential diagnostic and prognostic markers.
- Targeting the splicing machinery, as demonstrated by pladienolide B, offers a promising subtype-independent therapeutic strategy for BCa.
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