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The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis

Ovarian clear cell carcinoma (OCCC) is the second most common epithelial ovarian carcinoma (EOC). It is refractory to chemotherapy with a worse prognosis after the preliminary optimal debulking operation, such that the treatment of OCCC remains a challenge. OCCC is believed to evolve from endometrio...

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Autores principales: Su, Kuo-Min, Lin, Tzu-Wei, Liu, Li-Chun, Yang, Yi-Pin, Wang, Mong-Lien, Tsai, Ping-Hsing, Wang, Peng-Hui, Yu, Mu-Hsien, Chang, Chia-Ming, Chang, Cheng-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216156/
https://www.ncbi.nlm.nih.gov/pubmed/32316695
http://dx.doi.org/10.3390/ijms21082824
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author Su, Kuo-Min
Lin, Tzu-Wei
Liu, Li-Chun
Yang, Yi-Pin
Wang, Mong-Lien
Tsai, Ping-Hsing
Wang, Peng-Hui
Yu, Mu-Hsien
Chang, Chia-Ming
Chang, Cheng-Chang
author_facet Su, Kuo-Min
Lin, Tzu-Wei
Liu, Li-Chun
Yang, Yi-Pin
Wang, Mong-Lien
Tsai, Ping-Hsing
Wang, Peng-Hui
Yu, Mu-Hsien
Chang, Chia-Ming
Chang, Cheng-Chang
author_sort Su, Kuo-Min
collection PubMed
description Ovarian clear cell carcinoma (OCCC) is the second most common epithelial ovarian carcinoma (EOC). It is refractory to chemotherapy with a worse prognosis after the preliminary optimal debulking operation, such that the treatment of OCCC remains a challenge. OCCC is believed to evolve from endometriosis, a chronic immune/inflammation-related disease, so that immunotherapy may be a potential alternative treatment. Here, gene set-based analysis was used to investigate the immunofunctionomes of OCCC in early and advanced stages. Quantified biological functions defined by 5917 Gene Ontology (GO) terms downloaded from the Gene Expression Omnibus (GEO) database were used. DNA microarray gene expression profiles were used to convert 85 OCCCs and 136 normal controls into to the functionome. Relevant offspring were as extracted and the immunofunctionomes were rebuilt at different stages by machine learning. Several dysregulated pathogenic functions were found to coexist in the immunopathogenesis of early and advanced OCCC, wherein the complement-activation-alternative-pathway may be the headmost dysfunctional immunological pathway in duality for carcinogenesis at all OCCC stages. Several immunological genes involved in the complement system had dual influences on patients’ survival, and immunohistochemistrical analysis implied the higher expression of C3a receptor (C3aR) and C5a receptor (C5aR) levels in OCCC than in controls.
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spelling pubmed-72161562020-05-22 The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis Su, Kuo-Min Lin, Tzu-Wei Liu, Li-Chun Yang, Yi-Pin Wang, Mong-Lien Tsai, Ping-Hsing Wang, Peng-Hui Yu, Mu-Hsien Chang, Chia-Ming Chang, Cheng-Chang Int J Mol Sci Article Ovarian clear cell carcinoma (OCCC) is the second most common epithelial ovarian carcinoma (EOC). It is refractory to chemotherapy with a worse prognosis after the preliminary optimal debulking operation, such that the treatment of OCCC remains a challenge. OCCC is believed to evolve from endometriosis, a chronic immune/inflammation-related disease, so that immunotherapy may be a potential alternative treatment. Here, gene set-based analysis was used to investigate the immunofunctionomes of OCCC in early and advanced stages. Quantified biological functions defined by 5917 Gene Ontology (GO) terms downloaded from the Gene Expression Omnibus (GEO) database were used. DNA microarray gene expression profiles were used to convert 85 OCCCs and 136 normal controls into to the functionome. Relevant offspring were as extracted and the immunofunctionomes were rebuilt at different stages by machine learning. Several dysregulated pathogenic functions were found to coexist in the immunopathogenesis of early and advanced OCCC, wherein the complement-activation-alternative-pathway may be the headmost dysfunctional immunological pathway in duality for carcinogenesis at all OCCC stages. Several immunological genes involved in the complement system had dual influences on patients’ survival, and immunohistochemistrical analysis implied the higher expression of C3a receptor (C3aR) and C5a receptor (C5aR) levels in OCCC than in controls. MDPI 2020-04-17 /pmc/articles/PMC7216156/ /pubmed/32316695 http://dx.doi.org/10.3390/ijms21082824 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Su, Kuo-Min
Lin, Tzu-Wei
Liu, Li-Chun
Yang, Yi-Pin
Wang, Mong-Lien
Tsai, Ping-Hsing
Wang, Peng-Hui
Yu, Mu-Hsien
Chang, Chia-Ming
Chang, Cheng-Chang
The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis
title The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis
title_full The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis
title_fullStr The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis
title_full_unstemmed The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis
title_short The Potential Role of Complement System in the Progression of Ovarian Clear Cell Carcinoma Inferred from the Gene Ontology-Based Immunofunctionome Analysis
title_sort potential role of complement system in the progression of ovarian clear cell carcinoma inferred from the gene ontology-based immunofunctionome analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216156/
https://www.ncbi.nlm.nih.gov/pubmed/32316695
http://dx.doi.org/10.3390/ijms21082824
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