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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
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.
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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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