雌激素受体信号在子宫内膜异位症向子宫内膜异位症相关卵巢癌进展中的演变。

IF 3 4区 医学 Q3 Biochemistry, Genetics and Molecular Biology
Courtney L Andersen, Michelle M Boisen, Matthew J Sikora, Tianzhou Ma, George Tseng, Swati Suryawanshi, Anda Vlad, Esther Elishaev, Robert P Edwards, Steffi Oesterreich
{"title":"雌激素受体信号在子宫内膜异位症向子宫内膜异位症相关卵巢癌进展中的演变。","authors":"Courtney L Andersen,&nbsp;Michelle M Boisen,&nbsp;Matthew J Sikora,&nbsp;Tianzhou Ma,&nbsp;George Tseng,&nbsp;Swati Suryawanshi,&nbsp;Anda Vlad,&nbsp;Esther Elishaev,&nbsp;Robert P Edwards,&nbsp;Steffi Oesterreich","doi":"10.1007/s12672-018-0350-9","DOIUrl":null,"url":null,"abstract":"<p><p>To investigate changes in estrogen receptor alpha (ERα) signaling during progression of endometriosis to endometriosis-associated ovarian cancer (EAOC) as a driver of malignant transformation. We procured tissue samples of normal endometrium, endometriosis (benign, atypical, concurrent with EAOC), and EAOC. We evaluated expression of a 236-gene signature of estrogen signaling. ANOVA and unsupervised clustering were used to identify gene expression profiles across disease states. These profiles were compared to profiles of estrogen regulation in cancer models from the Gene Expression Omnibus (GEO). Gene Set Enrichment Analysis (GSEA) was performed to determine whether gene expression in EAOC was consistent with ERα activity. ANOVA revealed 158 differentially expressed genes (q < 0.05) and unsupervised clustering identified five distinct gene clusters. The estrogen signaling profile of EAOC was not consistent with activated ERα in pre-clinical models. Gene set enrichment analysis did not identify signatures of activated ERα in EAOC but instead identified expression patterns consistent with loss of ERα function and development of endocrine resistance. Gene expression data suggest that ERα signaling becomes inactivated throughout the progression of endometriosis to EAOC. The gene expression pattern in EAOC is more consistent with profiles of endocrine resistance.</p>","PeriodicalId":13060,"journal":{"name":"Hormones & Cancer","volume":"9 6","pages":"399-407"},"PeriodicalIF":3.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12672-018-0350-9","citationCount":"6","resultStr":"{\"title\":\"The Evolution of Estrogen Receptor Signaling in the Progression of Endometriosis to Endometriosis-Associated Ovarian Cancer.\",\"authors\":\"Courtney L Andersen,&nbsp;Michelle M Boisen,&nbsp;Matthew J Sikora,&nbsp;Tianzhou Ma,&nbsp;George Tseng,&nbsp;Swati Suryawanshi,&nbsp;Anda Vlad,&nbsp;Esther Elishaev,&nbsp;Robert P Edwards,&nbsp;Steffi Oesterreich\",\"doi\":\"10.1007/s12672-018-0350-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>To investigate changes in estrogen receptor alpha (ERα) signaling during progression of endometriosis to endometriosis-associated ovarian cancer (EAOC) as a driver of malignant transformation. We procured tissue samples of normal endometrium, endometriosis (benign, atypical, concurrent with EAOC), and EAOC. We evaluated expression of a 236-gene signature of estrogen signaling. ANOVA and unsupervised clustering were used to identify gene expression profiles across disease states. These profiles were compared to profiles of estrogen regulation in cancer models from the Gene Expression Omnibus (GEO). Gene Set Enrichment Analysis (GSEA) was performed to determine whether gene expression in EAOC was consistent with ERα activity. ANOVA revealed 158 differentially expressed genes (q < 0.05) and unsupervised clustering identified five distinct gene clusters. The estrogen signaling profile of EAOC was not consistent with activated ERα in pre-clinical models. Gene set enrichment analysis did not identify signatures of activated ERα in EAOC but instead identified expression patterns consistent with loss of ERα function and development of endocrine resistance. Gene expression data suggest that ERα signaling becomes inactivated throughout the progression of endometriosis to EAOC. The gene expression pattern in EAOC is more consistent with profiles of endocrine resistance.</p>\",\"PeriodicalId\":13060,\"journal\":{\"name\":\"Hormones & Cancer\",\"volume\":\"9 6\",\"pages\":\"399-407\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s12672-018-0350-9\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hormones & Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12672-018-0350-9\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hormones & Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12672-018-0350-9","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 6

摘要

探讨雌激素受体α (ERα)信号在子宫内膜异位症向子宫内膜异位症相关性卵巢癌(EAOC)发展过程中的变化及其对恶性转化的驱动作用。我们获得了正常子宫内膜、子宫内膜异位症(良性、非典型、并发EAOC)和EAOC的组织样本。我们评估了雌激素信号的236个基因特征的表达。方差分析和无监督聚类用于识别疾病状态下的基因表达谱。这些谱与来自基因表达综合(GEO)的癌症模型中的雌激素调节谱进行了比较。基因集富集分析(GSEA)确定EAOC中基因表达是否与ERα活性一致。方差分析显示158个差异表达基因(q
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Evolution of Estrogen Receptor Signaling in the Progression of Endometriosis to Endometriosis-Associated Ovarian Cancer.

The Evolution of Estrogen Receptor Signaling in the Progression of Endometriosis to Endometriosis-Associated Ovarian Cancer.

The Evolution of Estrogen Receptor Signaling in the Progression of Endometriosis to Endometriosis-Associated Ovarian Cancer.

The Evolution of Estrogen Receptor Signaling in the Progression of Endometriosis to Endometriosis-Associated Ovarian Cancer.

To investigate changes in estrogen receptor alpha (ERα) signaling during progression of endometriosis to endometriosis-associated ovarian cancer (EAOC) as a driver of malignant transformation. We procured tissue samples of normal endometrium, endometriosis (benign, atypical, concurrent with EAOC), and EAOC. We evaluated expression of a 236-gene signature of estrogen signaling. ANOVA and unsupervised clustering were used to identify gene expression profiles across disease states. These profiles were compared to profiles of estrogen regulation in cancer models from the Gene Expression Omnibus (GEO). Gene Set Enrichment Analysis (GSEA) was performed to determine whether gene expression in EAOC was consistent with ERα activity. ANOVA revealed 158 differentially expressed genes (q < 0.05) and unsupervised clustering identified five distinct gene clusters. The estrogen signaling profile of EAOC was not consistent with activated ERα in pre-clinical models. Gene set enrichment analysis did not identify signatures of activated ERα in EAOC but instead identified expression patterns consistent with loss of ERα function and development of endocrine resistance. Gene expression data suggest that ERα signaling becomes inactivated throughout the progression of endometriosis to EAOC. The gene expression pattern in EAOC is more consistent with profiles of endocrine resistance.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Hormones & Cancer
Hormones & Cancer ONCOLOGY-ENDOCRINOLOGY & METABOLISM
CiteScore
4.60
自引率
0.00%
发文量
0
期刊介绍: Hormones and Cancer is a unique multidisciplinary translational journal featuring basic science, pre-clinical, epidemiological, and clinical research papers. It covers all aspects of the interface of Endocrinology and Oncology. Thus, the journal covers two main areas of research: Endocrine tumors (benign & malignant tumors of hormone secreting endocrine organs) and the effects of hormones on any type of tumor. We welcome all types of studies related to these fields, but our particular attention is on translational aspects of research. In addition to basic, pre-clinical, and epidemiological studies, we encourage submission of clinical studies including those that comprise small series of tumors in rare endocrine neoplasias and/or negative or confirmatory results provided that they significantly enhance our understanding of endocrine aspects of oncology. The journal does not publish case studies.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信