RadSpliceDB: A Comprehensive Database of Radiotherapy Prognosis-Related Splicing Isoforms

Radiotherapy (RT) plays a crucial role in tumor treatment, but reliable prognostic biomarkers for patient survival remain limited. To address this gap, we constructed a comprehensive database, RadSpliceDB (https://radsplicedb.com.cn), focusing on splicing isoforms, aiming to identify potential prognostic markers from this perspective. We integrated transcriptome data from patients treated with RT across 24 tumor types in The Cancer Genome Atlas to identify splicing isoforms associated with RT prognosis. We constructed effective prognostic models to validate the potential of the selected isoforms as reliable biomarkers. The database provides comprehensive annotations and functional analyses of these isoforms. RadSpliceDB contains a total of 49,587 splicing events associated with RT prognosis, covering 180,149 splicing isoforms and encompassing various common splicing patterns, such as exon skipping, 3' splice site, and 5' splice site. We further evaluated the potential of these splicing isoforms as tumor antigens using VaxiJen v2.0, identifying several candidates with high antigenicity scores. This database not only provides systematic annotations of splicing isoforms to elucidate the mechanisms of RT response but also serves as a valuable resource for identifying potential biomarkers for personalized RT. RadSpliceDB provides essential data support for optimizing RT strategies in cancer treatment.

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Publication Details

Journal
Journal of Computational Biology
Published
2025-08-14
DOI
https://doi.org/10.1177/15578666251363380
Primary Topic
RNA Research and Splicing
Type
article
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article

RadSpliceDB: A Comprehensive Database of Radiotherapy Prognosis-Related Splicing Isoforms

Yang Gao, Pengbo Wen, Xingxing Kang, X. Li et al.
Journal of Computational Biology
RNA Research and Splicing
article

RadSpliceDB: A Comprehensive Database of Radiotherapy Prognosis-Related Splicing Isoforms

Yang Gao, Pengbo Wen, Xingxing Kang, X. Li, Leslie Wu, Yan Shao, Guoping Zhao
article en

Abstract

Radiotherapy (RT) plays a crucial role in tumor treatment, but reliable prognostic biomarkers for patient survival remain limited. To address this gap, we constructed a comprehensive database, RadSpliceDB (https://radsplicedb.com.cn), focusing on splicing isoforms, aiming to identify potential prognostic markers from this perspective. We integrated transcriptome data from patients treated with RT across 24 tumor types in The Cancer Genome Atlas to identify splicing isoforms associated with RT prognosis. We constructed effective prognostic models to validate the potential of the selected isoforms as reliable biomarkers. The database provides comprehensive annotations and functional analyses of these isoforms. RadSpliceDB contains a total of 49,587 splicing events associated with RT prognosis, covering 180,149 splicing isoforms and encompassing various common splicing patterns, such as exon skipping, 3' splice site, and 5' splice site. We further evaluated the potential of these splicing isoforms as tumor antigens using VaxiJen v2.0, identifying several candidates with high antigenicity scores. This database not only provides systematic annotations of splicing isoforms to elucidate the mechanisms of RT response but also serves as a valuable resource for identifying potential biomarkers for personalized RT. RadSpliceDB provides essential data support for optimizing RT strategies in cancer treatment.

Journal of Computational BiologyVol. 32(11)
University of Science and Technology of China (CN), Xuzhou Medical College (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Shantou University (CN), High Magnetic Field Laboratory (CN), Shantou University Medical College (CN)
Openalex Percentile: Top 82%
RNA Research and Splicing
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