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Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients
BACKGROUND: Ovarian cancer (OC) is the deadliest gynecological cancer. The absence of biomarkers in early detection and chemotherapy resistance is a principal cause of treatment failure in OC. METHODS: In this study, next generation sequencing (NGS) was used to sequence the mRNA of 44 OC patients in...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367617/ https://www.ncbi.nlm.nih.gov/pubmed/32441484 http://dx.doi.org/10.1002/cam4.3122 |
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author | Zheng, Hui Zhang, Meiqin Ma, Shuang Yang, Wenting Xie, Suhong Wang, Yanchun Liu, Yixuan Kai, Jinyan Ma, Qian Lu, Renquan Guo, Lin |
author_facet | Zheng, Hui Zhang, Meiqin Ma, Shuang Yang, Wenting Xie, Suhong Wang, Yanchun Liu, Yixuan Kai, Jinyan Ma, Qian Lu, Renquan Guo, Lin |
author_sort | Zheng, Hui |
collection | PubMed |
description | BACKGROUND: Ovarian cancer (OC) is the deadliest gynecological cancer. The absence of biomarkers in early detection and chemotherapy resistance is a principal cause of treatment failure in OC. METHODS: In this study, next generation sequencing (NGS) was used to sequence the mRNA of 44 OC patients including 14 chemotherapy insensitive and 18 sensitive patients. Differentially expressed genes (DEGs) from OC patients (compared with healthy controls) and chemotherapy sensitive patients (compared with chemotherapy insensitive patients) were identified by edgeR v3.12.0 in R v3.2.2, which were enriched using Gene Ontology (GO) database and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG). The common DEGs in cancer occurring and chemotherapy sensitivity were further screened. Among them, genes participating in chemotherapy sensitivity associated pathways were regarded as chemotherapy sensitivity‐related key genes. Quantitative real‐time PCR (qPCR) and immunohistochemistry (IHC) were used to verify the expression of the key genes. RESULTS: We found 1588 DEGs between OC patients and healthy controls (HCs), which were mainly enriched in cell cycle pathway. Meanwhile, 249 DEGs were identified between chemotherapy sensitive and insensitive OC patients, which were mainly enriched in MAPK signaling pathway, ERBB signaling pathway, TNF signaling pathway, and IL‐17 signaling pathway. Thirty‐five DEGs were shared in chemotherapy sensitivity group and cancer occurring group. Among them, there are five genes (JUND, JUNB, MUC5B, NRG1, and NR4A1) participating in the above four chemotherapy sensitivity‐related pathways. It is remarkable that JUND is in the upstream of MUC5B in IL‐17 signaling pathway and their expressions were verified by qPCR and IHC. CONCLUSIONS: The expression levels of the key genes related to chemotherapy sensitivity might be used as biomarkers to predict the treatment outcome and as a target to improve prognosis. |
format | Online Article Text |
id | pubmed-7367617 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73676172020-07-20 Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients Zheng, Hui Zhang, Meiqin Ma, Shuang Yang, Wenting Xie, Suhong Wang, Yanchun Liu, Yixuan Kai, Jinyan Ma, Qian Lu, Renquan Guo, Lin Cancer Med Cancer Biology BACKGROUND: Ovarian cancer (OC) is the deadliest gynecological cancer. The absence of biomarkers in early detection and chemotherapy resistance is a principal cause of treatment failure in OC. METHODS: In this study, next generation sequencing (NGS) was used to sequence the mRNA of 44 OC patients including 14 chemotherapy insensitive and 18 sensitive patients. Differentially expressed genes (DEGs) from OC patients (compared with healthy controls) and chemotherapy sensitive patients (compared with chemotherapy insensitive patients) were identified by edgeR v3.12.0 in R v3.2.2, which were enriched using Gene Ontology (GO) database and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG). The common DEGs in cancer occurring and chemotherapy sensitivity were further screened. Among them, genes participating in chemotherapy sensitivity associated pathways were regarded as chemotherapy sensitivity‐related key genes. Quantitative real‐time PCR (qPCR) and immunohistochemistry (IHC) were used to verify the expression of the key genes. RESULTS: We found 1588 DEGs between OC patients and healthy controls (HCs), which were mainly enriched in cell cycle pathway. Meanwhile, 249 DEGs were identified between chemotherapy sensitive and insensitive OC patients, which were mainly enriched in MAPK signaling pathway, ERBB signaling pathway, TNF signaling pathway, and IL‐17 signaling pathway. Thirty‐five DEGs were shared in chemotherapy sensitivity group and cancer occurring group. Among them, there are five genes (JUND, JUNB, MUC5B, NRG1, and NR4A1) participating in the above four chemotherapy sensitivity‐related pathways. It is remarkable that JUND is in the upstream of MUC5B in IL‐17 signaling pathway and their expressions were verified by qPCR and IHC. CONCLUSIONS: The expression levels of the key genes related to chemotherapy sensitivity might be used as biomarkers to predict the treatment outcome and as a target to improve prognosis. John Wiley and Sons Inc. 2020-05-22 /pmc/articles/PMC7367617/ /pubmed/32441484 http://dx.doi.org/10.1002/cam4.3122 Text en © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://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 Zheng, Hui Zhang, Meiqin Ma, Shuang Yang, Wenting Xie, Suhong Wang, Yanchun Liu, Yixuan Kai, Jinyan Ma, Qian Lu, Renquan Guo, Lin Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients |
title | Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients |
title_full | Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients |
title_fullStr | Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients |
title_full_unstemmed | Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients |
title_short | Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients |
title_sort | identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients |
topic | Cancer Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367617/ https://www.ncbi.nlm.nih.gov/pubmed/32441484 http://dx.doi.org/10.1002/cam4.3122 |
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