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基于加权基因共表达网络分析鉴定乳腺癌中芳香化酶抑制剂诱导的他莫昔芬耐药的关键基因。

Identification of hub genes in AR-induced tamoxifen resistance in breast cancer based on weighted gene co-expression network analysis.

作者信息

Lu Cao, Yang Yang, Lingmei Li, Qiujuan Huang, Qianru Guo, Lisha Qi, Wenfeng Cao, Yun Niu, Peisen Zhang

机构信息

Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, 300060, China.

Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, 300060, China.

出版信息

Breast Cancer Res Treat. 2023 Jan;197(1):71-82. doi: 10.1007/s10549-022-06788-w. Epub 2022 Nov 5.

Abstract

BACKGROUND

Approximately 30% of patients with oestrogen receptor (ER)-positive breast cancer (BC) exhibit intrinsic or recurrent resistance to tamoxifen (TAM) adjuvant endocrine therapy. The androgen receptor (AR) is expressed in about 90% of ER-positive patients. Our previous studies found that BC patients with an AR:ER expression ratio ≥ 2.0 are more susceptible to TAM resistance. However, the specific mechanism by which a high AR:ER ratio promotes TAM resistance remains unknown.

METHODS

RNA sequencing was performed on 10 cases of BC tissues with AR:ER ratios ≥ 2.0 and 3 cases with AR:ER ratios < 2.0. We then compared our data with the screened TAM-resistant and TAM-sensitive cases from the TCGA BC database. Bioinformatics methods were used to screen differentially expressed genes (DEGs) and to perform gene enrichment analysis. Weighted correlation network analysis (WGCNA) was used to screen hub genes in the AR-induced TAM resistance process.

RESULTS

PAM50 analysis showed that the molecular phenotype of BC patients with AR:ER ratios ≥ 2.0 was similar to that of triple-negative breast cancer (TNBC), whereas the BC samples with AR:ER ratios < 2.0 were classified as the luminal subtype. Among the AR:ER ratio ≥ 2.0 and AR:ER < 2.0 BC tumours, 1855 DEGs were identified. Gene enrichment analysis showed that DEGs were enriched mainly in proliferation-related molecular pathways, such as the cell cycle, necroptosis, metabolic pathways and DNA replication. WGCNA analysis showed that SEC14L2, RIIAD1, STC2 and MAGEA6 served as hub genes in AR-induced TAM resistance and were associated with BC survival prognosis in the TCGA cohort.

CONCLUSIONS

A high AR:ER expression ratio is a biomarker for patients who might develop TAM resistance, and AR expression seems to be a possible mechanism of resistance to endocrine therapy.

摘要

背景

大约30%的雌激素受体(ER)阳性乳腺癌(BC)患者对他莫昔芬(TAM)辅助内分泌治疗表现出内在或复发性耐药。雄激素受体(AR)在约90%的ER阳性患者中表达。我们之前的研究发现,AR:ER表达比值≥2.0的BC患者更易发生TAM耐药。然而,高AR:ER比值促进TAM耐药的具体机制仍不清楚。

方法

对10例AR:ER比值≥2.0的BC组织和3例AR:ER比值<2.0的BC组织进行RNA测序。然后将我们的数据与来自TCGA BC数据库中筛选出的TAM耐药和TAM敏感病例的数据进行比较。采用生物信息学方法筛选差异表达基因(DEG)并进行基因富集分析。使用加权基因共表达网络分析(WGCNA)筛选AR诱导的TAM耐药过程中的枢纽基因。

结果

PAM50分析显示,AR:ER比值≥2.0的BC患者的分子表型与三阴性乳腺癌(TNBC)相似,而AR:ER比值<2.0的BC样本被归类为管腔亚型。在AR:ER比值≥2.0和AR:ER<2.0的BC肿瘤中,共鉴定出1855个DEG。基因富集分析表明,DEG主要富集于增殖相关的分子途径,如细胞周期、坏死性凋亡、代谢途径和DNA复制。WGCNA分析显示,SEC14L2、RIIAD1、STC2和MAGEA6在AR诱导的TAM耐药中作为枢纽基因,并且与TCGA队列中的BC生存预后相关。

结论

高AR:ER表达比值是可能发生TAM耐药患者的一个生物标志物,并且AR表达似乎是内分泌治疗耐药的一种可能机制。

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