Huang, L.; Zeng, X.; Ma, H.; Yang, Y.; Akimoto, Y.; Wei, G.; Ni, T. Pan-Cancer Profiling of Intron Retention and Its Clinical Significance in Diagnosis and Prognosis. Cancers 2023, 15, 5689, doi:10.3390/cancers15235689.
Huang, L.; Zeng, X.; Ma, H.; Yang, Y.; Akimoto, Y.; Wei, G.; Ni, T. Pan-Cancer Profiling of Intron Retention and Its Clinical Significance in Diagnosis and Prognosis. Cancers 2023, 15, 5689, doi:10.3390/cancers15235689.
Huang, L.; Zeng, X.; Ma, H.; Yang, Y.; Akimoto, Y.; Wei, G.; Ni, T. Pan-Cancer Profiling of Intron Retention and Its Clinical Significance in Diagnosis and Prognosis. Cancers 2023, 15, 5689, doi:10.3390/cancers15235689.
Huang, L.; Zeng, X.; Ma, H.; Yang, Y.; Akimoto, Y.; Wei, G.; Ni, T. Pan-Cancer Profiling of Intron Retention and Its Clinical Significance in Diagnosis and Prognosis. Cancers 2023, 15, 5689, doi:10.3390/cancers15235689.
Abstract
Alternative splicing can produce transcripts that affect cancer development and shows potential for cancer diagnosis and treatment. However, intron retention (IR), a type of alternative splicing, has been less systematically studied in cancer biology research. Here, we generated a pan-cancer IR landscape for more than 10,000 samples across 33 cancer types from The Cancer Genome Atlas (TCGA). We characterized differentially retained introns between tumor and normal samples and identified retained introns associated with survival. We discovered 988 differentially retained introns in 14 cancers, some of which demonstrated diagnostic potential in multiple cancer types. We also inferred a large number of prognosis-related introns in 33 cancer types, and the associated genes included well-known cancer hallmarks such as angiogenesis, metastasis, and DNA mutations. Notably, we discovered a novel intron retention event inside 5′UTR of STN1 that is associated with the survival of lung cancer patients. The retained intron reduces translation efficiency by producing upstream open reading frames (uORFs) and thereby inhibits colony formation and cell migration of lung cancer cells. Besides, the IR-based prognostic model achieved good stratification on certain cancers, as illustrated in acute myeloid leukemia. Taken together, we performed a comprehensive IR survey at a pan-cancer level, and the results implied that IR has the potential to be diagnostic and prognostic cancer biomarkers, as well as new drug targets.
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