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Identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma
Mesothelioma (MESO) is an infrequent tumor derived from mesothelial cells of pleura, peritoneum, pericardium, and tunica vaginalis testis. Despite advancement in technologies and better understanding of tumor progression mechanism, the prognosis of MESO remains poor. The role of alternative splicing...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267146/ https://www.ncbi.nlm.nih.gov/pubmed/34041868 http://dx.doi.org/10.1002/cam4.3977 |
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author | Huang, Runzhi Zheng, Zixuan Liu, Sijia Yan, Penghui Song, Dianwen Yin, Huabin Hu, Peng Zhu, Xiaolong Chang, Zhengyan Liu, Yihan Zhuang, Juanwei Meng, Tong Huang, Zongqiang Zhang, Jie |
author_facet | Huang, Runzhi Zheng, Zixuan Liu, Sijia Yan, Penghui Song, Dianwen Yin, Huabin Hu, Peng Zhu, Xiaolong Chang, Zhengyan Liu, Yihan Zhuang, Juanwei Meng, Tong Huang, Zongqiang Zhang, Jie |
author_sort | Huang, Runzhi |
collection | PubMed |
description | Mesothelioma (MESO) is an infrequent tumor derived from mesothelial cells of pleura, peritoneum, pericardium, and tunica vaginalis testis. Despite advancement in technologies and better understanding of tumor progression mechanism, the prognosis of MESO remains poor. The role of alternative splicing events (ASEs) in the oncogenesis, tumor metastasis and drug resistance has been widely discussed in multiple cancers. But the prognosis and potential therapeutic value of ASEs in MESO were not clearly studied by now. We constructed a prognostic model using RNA sequencing data and matched ASE data of MESO patients obtained from the TCGA and TCGASpliceSeq database. A total of 3,993 ASEs were identified associated with overall survival using Cox regression analysis. Eight of them were finally figured out to institute the model by lasso regression analysis. The risk score of the model can predict the prognosis independently. Among the identified 390 splicing factors (SF), HSPA1A and DDX3Y was significantly associated with 43 OS‐SEs. Among these OS‐SEs, SNX5‐58744‐AT (p = 0.048) and SNX5‐58745‐AT (p = 0.048) were significantly associated with bone metastasis. Co‐expression analysis of signal pathways and SNX5‐58744‐AT, SNX5‐58745‐AT was also depicted using GSVA. Finally, we proposed that splicing factor (SF) HSPA1A could regulate SNX5‐58744‐AT (R = −0.414) and SNX5‐58745‐AT (R = 0.414) through the pathway “Class I MHC mediated antigen processing and presentation” (R = 0.400). In this way, tumorigenesis and bone metastasis of MESO were controlled. |
format | Online Article Text |
id | pubmed-8267146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82671462021-07-13 Identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma Huang, Runzhi Zheng, Zixuan Liu, Sijia Yan, Penghui Song, Dianwen Yin, Huabin Hu, Peng Zhu, Xiaolong Chang, Zhengyan Liu, Yihan Zhuang, Juanwei Meng, Tong Huang, Zongqiang Zhang, Jie Cancer Med Cancer Biology Mesothelioma (MESO) is an infrequent tumor derived from mesothelial cells of pleura, peritoneum, pericardium, and tunica vaginalis testis. Despite advancement in technologies and better understanding of tumor progression mechanism, the prognosis of MESO remains poor. The role of alternative splicing events (ASEs) in the oncogenesis, tumor metastasis and drug resistance has been widely discussed in multiple cancers. But the prognosis and potential therapeutic value of ASEs in MESO were not clearly studied by now. We constructed a prognostic model using RNA sequencing data and matched ASE data of MESO patients obtained from the TCGA and TCGASpliceSeq database. A total of 3,993 ASEs were identified associated with overall survival using Cox regression analysis. Eight of them were finally figured out to institute the model by lasso regression analysis. The risk score of the model can predict the prognosis independently. Among the identified 390 splicing factors (SF), HSPA1A and DDX3Y was significantly associated with 43 OS‐SEs. Among these OS‐SEs, SNX5‐58744‐AT (p = 0.048) and SNX5‐58745‐AT (p = 0.048) were significantly associated with bone metastasis. Co‐expression analysis of signal pathways and SNX5‐58744‐AT, SNX5‐58745‐AT was also depicted using GSVA. Finally, we proposed that splicing factor (SF) HSPA1A could regulate SNX5‐58744‐AT (R = −0.414) and SNX5‐58745‐AT (R = 0.414) through the pathway “Class I MHC mediated antigen processing and presentation” (R = 0.400). In this way, tumorigenesis and bone metastasis of MESO were controlled. John Wiley and Sons Inc. 2021-05-26 /pmc/articles/PMC8267146/ /pubmed/34041868 http://dx.doi.org/10.1002/cam4.3977 Text en © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cancer Biology Huang, Runzhi Zheng, Zixuan Liu, Sijia Yan, Penghui Song, Dianwen Yin, Huabin Hu, Peng Zhu, Xiaolong Chang, Zhengyan Liu, Yihan Zhuang, Juanwei Meng, Tong Huang, Zongqiang Zhang, Jie Identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma |
title | Identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma |
title_full | Identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma |
title_fullStr | Identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma |
title_full_unstemmed | Identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma |
title_short | Identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma |
title_sort | identification of prognostic and bone metastasis‐related alternative splicing signatures in mesothelioma |
topic | Cancer Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8267146/ https://www.ncbi.nlm.nih.gov/pubmed/34041868 http://dx.doi.org/10.1002/cam4.3977 |
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