Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma

Area of Science:

• Genomics
• Molecular Biology
• Oncology

Background:

• Adrenocortical carcinoma (ACC) is a rare endocrine malignancy.
• Understanding the molecular mechanisms driving ACC progression is crucial for improving patient outcomes.

Purpose of the Study:

• To investigate the alternative RNA splicing landscape in adrenocortical carcinoma.
• To determine the prognostic value of alternative splicing events in ACC.
• To identify potential biomarkers and therapeutic targets for ACC.

Main Methods:

• Utilized data from 79 ACC patients from The Cancer Genome Atlas and SpliceSeq.
• Identified prognosis-associated alternative splicing (AS) events using univariate Cox regression.
• Performed gene functional enrichment analysis to identify associated pathways.
• Developed a prediction model using Lasso regression and validated with ROC analysis.

Main Results:

• Identified 1,005 survival-associated alternative splicing events.
• Key prognostic genes include ATXN2L, MEIS1, IKBKB, and COX4I1.
• Prognostic splicing events are linked to the Wnt signaling pathway.
• A 12-AS event prediction model demonstrated good performance in predicting survival.

Conclusions:

• Comprehensive bioinformatics analysis of AS events in ACC.
• Identified potential biomarkers for disease progression in ACC.
• Highlighted a rich source of novel therapeutic targets for adrenocortical carcinoma.