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Immune-and Metabolism-Associated Molecular Classification of Ovarian Cancer
Ovarian cancer (OV) is a complex gynecological disease, and its molecular characteristics are not clear. In this study, the molecular characteristics of OV subtypes based on metabolic genes were explored through the comprehensive analysis of genomic data. A set of transcriptome data of 2752 known me...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133421/ https://www.ncbi.nlm.nih.gov/pubmed/35646692 http://dx.doi.org/10.3389/fonc.2022.877369 |
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author | Chen, Zhenyue Jiang, Weiyi Li, Zhen Zong, Yun Deng, Gaopi |
author_facet | Chen, Zhenyue Jiang, Weiyi Li, Zhen Zong, Yun Deng, Gaopi |
author_sort | Chen, Zhenyue |
collection | PubMed |
description | Ovarian cancer (OV) is a complex gynecological disease, and its molecular characteristics are not clear. In this study, the molecular characteristics of OV subtypes based on metabolic genes were explored through the comprehensive analysis of genomic data. A set of transcriptome data of 2752 known metabolic genes was used as a seed for performing non negative matrix factorization (NMF) clustering. Three subtypes of OV (C1, C2 and C3) were found in analysis. The proportion of various immune cells in C1 was higher than that in C2 and C3 subtypes. The expression level of immune checkpoint genes TNFRSF9 in C1 was higher than that of other subtypes. The activation scores of cell cycle, RTK-RAS, Wnt and angiogenesis pathway and ESTIMATE immune scores in C1 group were higher than those in C2 and C3 groups. In the validation set, grade was significantly correlated with OV subtype C1. Functional analysis showed that the extracellular matrix related items in C1 subtype were significantly different from other subtypes. Drug sensitivity analysis showed that C2 subtype was more sensitive to immunotherapy. Survival analysis of differential genes showed that the expression of PXDN and CXCL11 was significantly correlated with survival. The results of tissue microarray immunohistochemistry showed that the expression of PXDN was significantly correlated with tumor size and pathological grade. Based on the genomics of metabolic genes, a new OV typing method was developed, which improved our understanding of the molecular characteristics of human OV. |
format | Online Article Text |
id | pubmed-9133421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91334212022-05-27 Immune-and Metabolism-Associated Molecular Classification of Ovarian Cancer Chen, Zhenyue Jiang, Weiyi Li, Zhen Zong, Yun Deng, Gaopi Front Oncol Oncology Ovarian cancer (OV) is a complex gynecological disease, and its molecular characteristics are not clear. In this study, the molecular characteristics of OV subtypes based on metabolic genes were explored through the comprehensive analysis of genomic data. A set of transcriptome data of 2752 known metabolic genes was used as a seed for performing non negative matrix factorization (NMF) clustering. Three subtypes of OV (C1, C2 and C3) were found in analysis. The proportion of various immune cells in C1 was higher than that in C2 and C3 subtypes. The expression level of immune checkpoint genes TNFRSF9 in C1 was higher than that of other subtypes. The activation scores of cell cycle, RTK-RAS, Wnt and angiogenesis pathway and ESTIMATE immune scores in C1 group were higher than those in C2 and C3 groups. In the validation set, grade was significantly correlated with OV subtype C1. Functional analysis showed that the extracellular matrix related items in C1 subtype were significantly different from other subtypes. Drug sensitivity analysis showed that C2 subtype was more sensitive to immunotherapy. Survival analysis of differential genes showed that the expression of PXDN and CXCL11 was significantly correlated with survival. The results of tissue microarray immunohistochemistry showed that the expression of PXDN was significantly correlated with tumor size and pathological grade. Based on the genomics of metabolic genes, a new OV typing method was developed, which improved our understanding of the molecular characteristics of human OV. Frontiers Media S.A. 2022-05-12 /pmc/articles/PMC9133421/ /pubmed/35646692 http://dx.doi.org/10.3389/fonc.2022.877369 Text en Copyright © 2022 Chen, Jiang, Li, Zong and Deng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Chen, Zhenyue Jiang, Weiyi Li, Zhen Zong, Yun Deng, Gaopi Immune-and Metabolism-Associated Molecular Classification of Ovarian Cancer |
title | Immune-and Metabolism-Associated Molecular Classification of Ovarian Cancer |
title_full | Immune-and Metabolism-Associated Molecular Classification of Ovarian Cancer |
title_fullStr | Immune-and Metabolism-Associated Molecular Classification of Ovarian Cancer |
title_full_unstemmed | Immune-and Metabolism-Associated Molecular Classification of Ovarian Cancer |
title_short | Immune-and Metabolism-Associated Molecular Classification of Ovarian Cancer |
title_sort | immune-and metabolism-associated molecular classification of ovarian cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133421/ https://www.ncbi.nlm.nih.gov/pubmed/35646692 http://dx.doi.org/10.3389/fonc.2022.877369 |
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