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TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression
BACKGROUND: Renal cell carcinoma (RCC) originates from renal tubular epithelial cells and is mainly classified into three histological types, including clear cell renal cell carcinoma (ccRCC) which accounts for about 75% of all kidney cancers and is characterized by its strong invasiveness and poor...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621595/ https://www.ncbi.nlm.nih.gov/pubmed/37927783 http://dx.doi.org/10.7717/peerj.16316 |
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author | Xie, Lingling Fang, Yu Chen, Jianping Meng, Wei Guan, Yangbo Gong, Wenliang |
author_facet | Xie, Lingling Fang, Yu Chen, Jianping Meng, Wei Guan, Yangbo Gong, Wenliang |
author_sort | Xie, Lingling |
collection | PubMed |
description | BACKGROUND: Renal cell carcinoma (RCC) originates from renal tubular epithelial cells and is mainly classified into three histological types, including clear cell renal cell carcinoma (ccRCC) which accounts for about 75% of all kidney cancers and is characterized by its strong invasiveness and poor prognosis. Hence, it is imperative to understand the mechanisms underlying the occurrence and progression of ccRCC to identify effective biomarkers for the early diagnosis and the prognosis prediction. METHODS: The mRNA level of TTC13 was quantified by RT-PCR, while the protein level was determined by western blot and immunohistochemistry (IHC) staining. Cell proliferation was measured by cck-8, and cell apoptosis was detected by flow cytometry. The binding of STAT3 to the promoter region of TTC13 was determined by the luciferase reporter assay and chip experiments. STAT3 nuclear translocation was assessed by immunofluorescence staining. RESULTS: We found that TTC13 was up-regulated in ccRCC, and TTC13 promoted cell proliferation as well as inhibited cell apoptosis and autophagy of ccRCC through wnt/β-catenin and IL6-JAK-STAT3 signaling pathways. Furthermore, TTC13 might play a role in the immune infiltration and immunotherapy of ccRCC. Mechanistically, STAT3 activated the transcription of TTC13 gene. CONCLUSIONS: STAT3 directly regulated TTC13 expression through a positive feedback loop mechanism to promote ccRCC cell proliferation as well as reduce cell apoptosis and autophagy. These findings suggested new and effective therapeutic targets for more accurate and personalized treatment strategies. |
format | Online Article Text |
id | pubmed-10621595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106215952023-11-03 TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression Xie, Lingling Fang, Yu Chen, Jianping Meng, Wei Guan, Yangbo Gong, Wenliang PeerJ Bioinformatics BACKGROUND: Renal cell carcinoma (RCC) originates from renal tubular epithelial cells and is mainly classified into three histological types, including clear cell renal cell carcinoma (ccRCC) which accounts for about 75% of all kidney cancers and is characterized by its strong invasiveness and poor prognosis. Hence, it is imperative to understand the mechanisms underlying the occurrence and progression of ccRCC to identify effective biomarkers for the early diagnosis and the prognosis prediction. METHODS: The mRNA level of TTC13 was quantified by RT-PCR, while the protein level was determined by western blot and immunohistochemistry (IHC) staining. Cell proliferation was measured by cck-8, and cell apoptosis was detected by flow cytometry. The binding of STAT3 to the promoter region of TTC13 was determined by the luciferase reporter assay and chip experiments. STAT3 nuclear translocation was assessed by immunofluorescence staining. RESULTS: We found that TTC13 was up-regulated in ccRCC, and TTC13 promoted cell proliferation as well as inhibited cell apoptosis and autophagy of ccRCC through wnt/β-catenin and IL6-JAK-STAT3 signaling pathways. Furthermore, TTC13 might play a role in the immune infiltration and immunotherapy of ccRCC. Mechanistically, STAT3 activated the transcription of TTC13 gene. CONCLUSIONS: STAT3 directly regulated TTC13 expression through a positive feedback loop mechanism to promote ccRCC cell proliferation as well as reduce cell apoptosis and autophagy. These findings suggested new and effective therapeutic targets for more accurate and personalized treatment strategies. PeerJ Inc. 2023-10-30 /pmc/articles/PMC10621595/ /pubmed/37927783 http://dx.doi.org/10.7717/peerj.16316 Text en ©2023 Xie et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Xie, Lingling Fang, Yu Chen, Jianping Meng, Wei Guan, Yangbo Gong, Wenliang TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression |
title | TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression |
title_full | TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression |
title_fullStr | TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression |
title_full_unstemmed | TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression |
title_short | TTC13 expression and STAT3 activation may form a positive feedback loop to promote ccRCC progression |
title_sort | ttc13 expression and stat3 activation may form a positive feedback loop to promote ccrcc progression |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621595/ https://www.ncbi.nlm.nih.gov/pubmed/37927783 http://dx.doi.org/10.7717/peerj.16316 |
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