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The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma
Skin cutaneous melanoma (SKCM) is a type of highly invasive cancer originated from melanocytes. It is reported that aberrant alternative splicing (AS) plays an important role in the neoplasia and metastasis of many types of cancer. Therefore, we investigated whether ASEs of pre-RNA have such an infl...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743934/ https://www.ncbi.nlm.nih.gov/pubmed/34986671 http://dx.doi.org/10.1177/10732748211051554 |
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author | Huang, Runzhi Li, Mingxiao Zeng, Zhiwei Zhang, Jie Song, Dianwen Hu, Peng Yan, Penghui Xian, Shuyuan Zhu, Xiaolong Chang, Zhengyan Zhang, Jiayao Guo, Juanru Yin, Huabin Meng, Tong Huang, Zongqiang |
author_facet | Huang, Runzhi Li, Mingxiao Zeng, Zhiwei Zhang, Jie Song, Dianwen Hu, Peng Yan, Penghui Xian, Shuyuan Zhu, Xiaolong Chang, Zhengyan Zhang, Jiayao Guo, Juanru Yin, Huabin Meng, Tong Huang, Zongqiang |
author_sort | Huang, Runzhi |
collection | PubMed |
description | Skin cutaneous melanoma (SKCM) is a type of highly invasive cancer originated from melanocytes. It is reported that aberrant alternative splicing (AS) plays an important role in the neoplasia and metastasis of many types of cancer. Therefore, we investigated whether ASEs of pre-RNA have such an influence on the prognosis of SKCM and the related mechanism of ASEs in SKCM. The RNA-seq data and ASEs data for SKCM patients were obtained from the TCGA and TCGASpliceSeq database. The univariate Cox regression revealed 1265 overall survival-related splicing events (OS-SEs). Screened by Lasso regression, 4 OS-SEs were identified and used to construct an effective prediction model (AUC: .904), whose risk score was proved to be an independent prognostic factor. Furthermore, Kruskal–Wallis test and Mann–Whitney–Wilcoxon test showed that an aberrant splicing type of aminoacyl tRNA synthetase complex-interacting multifunctional protein 2 (AIMP2) regulated by CDC-like kinase 1 (CLK1) was associated with the metastasis and stage of SKCM. Besides, the overlapped signal pathway for AIMP2 was galactose metabolism identified by the co-expression analysis. External database validation also confirmed that AIMP2, CLK1, and the galactose metabolism were associated with the metastasis and stage of SKCM patients. ChIP-seq and ATAC-seq methods further confirmed the transcription regulation of CLK1, AIMP2, and other key genes, whose cellular expression was detected by Single Cell Sequencing. In conclusion, we proposed that CLK1-regulated AIMP2-78704-ES might play a critical role in the tumorigenesis and metastasis of SKCM via galactose metabolism. Besides, we established an effective model with MTMR14-63114-ES, URI1-48867-ES, BATF2-16724-AP, and MED22-88025-AP to predict the metastasis and prognosis of SKCM patients. |
format | Online Article Text |
id | pubmed-8743934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-87439342022-01-11 The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma Huang, Runzhi Li, Mingxiao Zeng, Zhiwei Zhang, Jie Song, Dianwen Hu, Peng Yan, Penghui Xian, Shuyuan Zhu, Xiaolong Chang, Zhengyan Zhang, Jiayao Guo, Juanru Yin, Huabin Meng, Tong Huang, Zongqiang Cancer Control Original Research Article Skin cutaneous melanoma (SKCM) is a type of highly invasive cancer originated from melanocytes. It is reported that aberrant alternative splicing (AS) plays an important role in the neoplasia and metastasis of many types of cancer. Therefore, we investigated whether ASEs of pre-RNA have such an influence on the prognosis of SKCM and the related mechanism of ASEs in SKCM. The RNA-seq data and ASEs data for SKCM patients were obtained from the TCGA and TCGASpliceSeq database. The univariate Cox regression revealed 1265 overall survival-related splicing events (OS-SEs). Screened by Lasso regression, 4 OS-SEs were identified and used to construct an effective prediction model (AUC: .904), whose risk score was proved to be an independent prognostic factor. Furthermore, Kruskal–Wallis test and Mann–Whitney–Wilcoxon test showed that an aberrant splicing type of aminoacyl tRNA synthetase complex-interacting multifunctional protein 2 (AIMP2) regulated by CDC-like kinase 1 (CLK1) was associated with the metastasis and stage of SKCM. Besides, the overlapped signal pathway for AIMP2 was galactose metabolism identified by the co-expression analysis. External database validation also confirmed that AIMP2, CLK1, and the galactose metabolism were associated with the metastasis and stage of SKCM patients. ChIP-seq and ATAC-seq methods further confirmed the transcription regulation of CLK1, AIMP2, and other key genes, whose cellular expression was detected by Single Cell Sequencing. In conclusion, we proposed that CLK1-regulated AIMP2-78704-ES might play a critical role in the tumorigenesis and metastasis of SKCM via galactose metabolism. Besides, we established an effective model with MTMR14-63114-ES, URI1-48867-ES, BATF2-16724-AP, and MED22-88025-AP to predict the metastasis and prognosis of SKCM patients. SAGE Publications 2022-01-05 /pmc/articles/PMC8743934/ /pubmed/34986671 http://dx.doi.org/10.1177/10732748211051554 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Huang, Runzhi Li, Mingxiao Zeng, Zhiwei Zhang, Jie Song, Dianwen Hu, Peng Yan, Penghui Xian, Shuyuan Zhu, Xiaolong Chang, Zhengyan Zhang, Jiayao Guo, Juanru Yin, Huabin Meng, Tong Huang, Zongqiang The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma |
title | The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma |
title_full | The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma |
title_fullStr | The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma |
title_full_unstemmed | The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma |
title_short | The Identification of Prognostic and Metastatic Alternative Splicing in Skin Cutaneous Melanoma |
title_sort | identification of prognostic and metastatic alternative splicing in skin cutaneous melanoma |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743934/ https://www.ncbi.nlm.nih.gov/pubmed/34986671 http://dx.doi.org/10.1177/10732748211051554 |
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