Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma
BackgroundThis paper aims to identify alternative RNA splicing landscape and its prognostic value in adrenocortical carcinoma.MethodsThe alternative splicing events data with corresponding clinical information data of 79 ACC patients were obtained from the Cancer Genome Atlas and SpliceSeq package....
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-03-01
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| Series: | Frontiers in Endocrinology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2021.538364/full |
| _version_ | 1818557898955948032 |
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| author | Weiwei Liang Fangfang Sun |
| author_facet | Weiwei Liang Fangfang Sun |
| author_sort | Weiwei Liang |
| collection | DOAJ |
| description | BackgroundThis paper aims to identify alternative RNA splicing landscape and its prognostic value in adrenocortical carcinoma.MethodsThe alternative splicing events data with corresponding clinical information data of 79 ACC patients were obtained from the Cancer Genome Atlas and SpliceSeq package. Prognosis-associated AS events by using univariate Cox regression analysis were selected. Gene functional enrichment analysis demonstrated the potential pathways enriched by survival-associated AS. Prognosis-related splicing events were submitted to develop moderate predictors using Lasso regression model.ResultsOne thousand five survival-associated alternative splicing events were identified. The prognostic genes included ATXN2L, MEIS1, IKBKB, COX4I1. Functional enrichment analysis suggested that prognostic splicing events are associated with Wnt signaling pathway. A prediction model including 12 alternative splicing events was constructed by Lasso regression using train set. ROC analysis showed good performance of the prediction model in test set. Then, a nomogram integrating the clinical-pathological factors and riskscore was constructed for predicting 1‐ and 3‐year survival rate.ConclusionOur data provide a comprehensive bioinformatics analysis of AS events in ACC, providing biomarkers for disease progression and a potentially rich source of novel therapeutic targets. |
| first_indexed | 2024-12-14T00:05:44Z |
| format | Article |
| id | doaj.art-c4a4e31421ea403e936a6814004d657d |
| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-12-14T00:05:44Z |
| publishDate | 2021-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-c4a4e31421ea403e936a6814004d657d2022-12-21T23:26:04ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922021-03-011210.3389/fendo.2021.538364538364Prognostic Alternative mRNA Splicing in Adrenocortical CarcinomaWeiwei Liang0Fangfang Sun1Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaKey Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, The Second Affiliated Hospital, Cancer Institute, Zhejiang University School of Medicine, Hangzhou, ChinaBackgroundThis paper aims to identify alternative RNA splicing landscape and its prognostic value in adrenocortical carcinoma.MethodsThe alternative splicing events data with corresponding clinical information data of 79 ACC patients were obtained from the Cancer Genome Atlas and SpliceSeq package. Prognosis-associated AS events by using univariate Cox regression analysis were selected. Gene functional enrichment analysis demonstrated the potential pathways enriched by survival-associated AS. Prognosis-related splicing events were submitted to develop moderate predictors using Lasso regression model.ResultsOne thousand five survival-associated alternative splicing events were identified. The prognostic genes included ATXN2L, MEIS1, IKBKB, COX4I1. Functional enrichment analysis suggested that prognostic splicing events are associated with Wnt signaling pathway. A prediction model including 12 alternative splicing events was constructed by Lasso regression using train set. ROC analysis showed good performance of the prediction model in test set. Then, a nomogram integrating the clinical-pathological factors and riskscore was constructed for predicting 1‐ and 3‐year survival rate.ConclusionOur data provide a comprehensive bioinformatics analysis of AS events in ACC, providing biomarkers for disease progression and a potentially rich source of novel therapeutic targets.https://www.frontiersin.org/articles/10.3389/fendo.2021.538364/fullalternative splicingadrenocortical carcinomaAUCbioinformaticsprognostic model |
| spellingShingle | Weiwei Liang Fangfang Sun Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma Frontiers in Endocrinology alternative splicing adrenocortical carcinoma AUC bioinformatics prognostic model |
| title | Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma |
| title_full | Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma |
| title_fullStr | Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma |
| title_full_unstemmed | Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma |
| title_short | Prognostic Alternative mRNA Splicing in Adrenocortical Carcinoma |
| title_sort | prognostic alternative mrna splicing in adrenocortical carcinoma |
| topic | alternative splicing adrenocortical carcinoma AUC bioinformatics prognostic model |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2021.538364/full |
| work_keys_str_mv | AT weiweiliang prognosticalternativemrnasplicinginadrenocorticalcarcinoma AT fangfangsun prognosticalternativemrnasplicinginadrenocorticalcarcinoma |