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Targeting RNA splicing modulation: new perspectives for anticancer strategy?

J Exp Clin Cancer Res

January 2025

Department of Pharmacology, School of Pharmacy, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, P. R. China.

The excision of introns from pre-mRNA is a crucial process in the expression of the majority of genes. Alternative splicing allows a single gene to generate diverse mRNA and protein products. Aberrant RNA splicing is recognized as a molecular characteristic present in almost all types of tumors.

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Osteosarcoma (OS) is a commonly observed malignant tumor in orthopedics that has a very poor prognosis. The endosomal sorting complex required for transport (ESCRT) is important for the development and progression of cancer and may be a significant target for cancer therapy. First, we built a prognostic signature using 7 ESCRT-related genes (ERGs) to predict OS patient prognosis.

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Objective: The effect of coiled-coil domain-containing 154 (CCDC154) in liver cancer (LC) remains unexplored. The objective of this study was to investigate the role of CCDC154 in LC and its underlying mechanism.

Methods: The analysis of CCDC154 expression and prognosis was performed using UALCAN, Human Protein Atlas and Kaplan-Meier plotter websites.

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Background: Chemotherapy is a well-established therapeutic approach for several malignancies, including breast cancer (BCa). However, the clinical efficacy of this drug is limited by cardiotoxicity. Assessing multiple cardiac biomarkers can help identify patients at risk of adverse outcomes from chemotherapy.

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Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.

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