Cargando…

Identification of TYMS as a promoting factor of retroperitoneal liposarcoma progression: Bioinformatics analysis and biological evidence

Retroperitoneal liposarcoma (RLPS) is one of the most common types of retroperitoneal sarcomas, and has a high recurrence rate. There is an urgent need to further explore its pathogenesis and develop more effective treatment strategies. The aim of the present study was to identify potential driver g...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Sha, Yan, Liang, Cui, Can, Wang, Zhen, Wu, Jianhui, Zhao, Min, Dong, Bin, Guan, Xiaoya, Tian, Xiuyun, Hao, Chunyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336505/
https://www.ncbi.nlm.nih.gov/pubmed/32627015
http://dx.doi.org/10.3892/or.2020.7635
_version_ 1783554333622665216
author Zhang, Sha
Yan, Liang
Cui, Can
Wang, Zhen
Wu, Jianhui
Zhao, Min
Dong, Bin
Guan, Xiaoya
Tian, Xiuyun
Hao, Chunyi
author_facet Zhang, Sha
Yan, Liang
Cui, Can
Wang, Zhen
Wu, Jianhui
Zhao, Min
Dong, Bin
Guan, Xiaoya
Tian, Xiuyun
Hao, Chunyi
author_sort Zhang, Sha
collection PubMed
description Retroperitoneal liposarcoma (RLPS) is one of the most common types of retroperitoneal sarcomas, and has a high recurrence rate. There is an urgent need to further explore its pathogenesis and develop more effective treatment strategies. The aim of the present study was to identify potential driver genes of RLPS through bioinformatics analysis and molecular biology to elucidate potential targets that are suitable for further analysis for the treatment of RLPS. Differentially expressed genes (DEGs) between liposarcoma and normal fatty (NF) tissues were identified based on microarray data through bioinformatics analysis, and thymidylate synthase (TYMS) was selected from the DEGs, based on high content screening (HCS). TYMS expression was evaluated in RLPS tumor tissues and cell lines. A total of 21 RLPS tissues and 10 NF frozen tissues were used for reverse transcription-quantitative PCR, and 47 RLPS formalin-fixed specimens were used for immunohistochemical analysis. The effect of TYMS downregulation on cell proliferation, apoptosis, cell cycle progression, and cell migration and invasion were evaluated using lentivirus-mediated short hairpin RNA. The underlying mechanisms of TYMS in RLPS were examined by protein microarray and verified by western blotting. A total of 855 DEGs were identified. TYMS knockdown had the most notable effect on the proliferative capacity of RLPS cells according to the HCS results. TYMS mRNA expression levels were higher in RLPS tissues compared with NF tissues (P<0.001). TYMS expression was higher in high-grade RLPS tissues compared with low-grade RLPS tissues (P=0.003). The patients with positive TYMS expression had a worse overall survival (OS) and disease-free survival (DFS) compared with the patients with negative TYMS expression (OS, P=0.024; DFS, P=0.030). The knockdown of TYMS reduced proliferation, promoted apoptosis, facilitated cell cycle progression from G(1) to S phase, and reduced cell migration and invasion of RLPS cells. Protein microarray analysis and western blotting showed that the Janus Kinase/Signal transducers and activators of transcription pathway was downregulated following TYMS knockdown. In conclusion, TYMS expression is upregulated in RLPS tissues, and downregulation of TYMS reduces RLPS progression.
format Online
Article
Text
id pubmed-7336505
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-73365052020-07-07 Identification of TYMS as a promoting factor of retroperitoneal liposarcoma progression: Bioinformatics analysis and biological evidence Zhang, Sha Yan, Liang Cui, Can Wang, Zhen Wu, Jianhui Zhao, Min Dong, Bin Guan, Xiaoya Tian, Xiuyun Hao, Chunyi Oncol Rep Articles Retroperitoneal liposarcoma (RLPS) is one of the most common types of retroperitoneal sarcomas, and has a high recurrence rate. There is an urgent need to further explore its pathogenesis and develop more effective treatment strategies. The aim of the present study was to identify potential driver genes of RLPS through bioinformatics analysis and molecular biology to elucidate potential targets that are suitable for further analysis for the treatment of RLPS. Differentially expressed genes (DEGs) between liposarcoma and normal fatty (NF) tissues were identified based on microarray data through bioinformatics analysis, and thymidylate synthase (TYMS) was selected from the DEGs, based on high content screening (HCS). TYMS expression was evaluated in RLPS tumor tissues and cell lines. A total of 21 RLPS tissues and 10 NF frozen tissues were used for reverse transcription-quantitative PCR, and 47 RLPS formalin-fixed specimens were used for immunohistochemical analysis. The effect of TYMS downregulation on cell proliferation, apoptosis, cell cycle progression, and cell migration and invasion were evaluated using lentivirus-mediated short hairpin RNA. The underlying mechanisms of TYMS in RLPS were examined by protein microarray and verified by western blotting. A total of 855 DEGs were identified. TYMS knockdown had the most notable effect on the proliferative capacity of RLPS cells according to the HCS results. TYMS mRNA expression levels were higher in RLPS tissues compared with NF tissues (P<0.001). TYMS expression was higher in high-grade RLPS tissues compared with low-grade RLPS tissues (P=0.003). The patients with positive TYMS expression had a worse overall survival (OS) and disease-free survival (DFS) compared with the patients with negative TYMS expression (OS, P=0.024; DFS, P=0.030). The knockdown of TYMS reduced proliferation, promoted apoptosis, facilitated cell cycle progression from G(1) to S phase, and reduced cell migration and invasion of RLPS cells. Protein microarray analysis and western blotting showed that the Janus Kinase/Signal transducers and activators of transcription pathway was downregulated following TYMS knockdown. In conclusion, TYMS expression is upregulated in RLPS tissues, and downregulation of TYMS reduces RLPS progression. D.A. Spandidos 2020-08 2020-06-05 /pmc/articles/PMC7336505/ /pubmed/32627015 http://dx.doi.org/10.3892/or.2020.7635 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhang, Sha
Yan, Liang
Cui, Can
Wang, Zhen
Wu, Jianhui
Zhao, Min
Dong, Bin
Guan, Xiaoya
Tian, Xiuyun
Hao, Chunyi
Identification of TYMS as a promoting factor of retroperitoneal liposarcoma progression: Bioinformatics analysis and biological evidence
title Identification of TYMS as a promoting factor of retroperitoneal liposarcoma progression: Bioinformatics analysis and biological evidence
title_full Identification of TYMS as a promoting factor of retroperitoneal liposarcoma progression: Bioinformatics analysis and biological evidence
title_fullStr Identification of TYMS as a promoting factor of retroperitoneal liposarcoma progression: Bioinformatics analysis and biological evidence
title_full_unstemmed Identification of TYMS as a promoting factor of retroperitoneal liposarcoma progression: Bioinformatics analysis and biological evidence
title_short Identification of TYMS as a promoting factor of retroperitoneal liposarcoma progression: Bioinformatics analysis and biological evidence
title_sort identification of tyms as a promoting factor of retroperitoneal liposarcoma progression: bioinformatics analysis and biological evidence
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336505/
https://www.ncbi.nlm.nih.gov/pubmed/32627015
http://dx.doi.org/10.3892/or.2020.7635
work_keys_str_mv AT zhangsha identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT yanliang identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT cuican identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT wangzhen identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT wujianhui identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT zhaomin identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT dongbin identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT guanxiaoya identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT tianxiuyun identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence
AT haochunyi identificationoftymsasapromotingfactorofretroperitonealliposarcomaprogressionbioinformaticsanalysisandbiologicalevidence