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新辅助内分泌治疗会增加雌激素受体阳性乳腺癌中预后不良的基质细胞群体。

Neoadjuvant endocrine therapy expands stromal populations that predict poor prognosis in estrogen receptor-positive breast cancer.

作者信息

Brechbuhl Heather M, Xie Mengyu, Kopin Etana G, Han Amy L, Vinod-Paul Kiran, Hagen Jaime, Edgerton Susan, Owens Philip, Sams Sharon, Elias Anthony, Sartorius Carol A, Tan Aik-Choon, Kabos Peter

机构信息

Department of Medicine, Division of Medical Oncology, Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA.

Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida, USA.

出版信息

Mol Carcinog. 2022 Mar;61(3):359-371. doi: 10.1002/mc.23377. Epub 2021 Dec 2.

Abstract

The tumor microenvironment (TME) is an important modulator of response and resistance to endocrine therapy in estrogen receptor alpha (ER) positive breast cancer. Endocrine therapy is highly effective at reducing tumor burden and preventing recurrence in most estrogen receptor alpha (ER) positive breast cancers. Existing drugs work either directly by targeting tumor-cell ER or indirectly by inhibiting estrogen production in stromal cells with aromatase inhibitors (AI). However, many stromal cells also express ER and the direct impact of endocrine therapies on ER + stromal cells remain unclear. In this study, we investigated how neoadjuvant endocrine therapy (NET) directly effects stromal cells by measuring changes in stomal components of the TME that favor tumor progression. We previously defined two major subsets of tumor-associated stromal cells (TASCs): CD146 positive/CDCP1 negative (TASC ), CD146 negative/CDCP1 positive (TASC ), and generated a differentially expressed genes list associated with each type. Here, we applied the TASC gene list for classification and an algorithm that estimates immune cell abundance (TIMEx) to METABRIC transcriptomic data for ER + breast cancer patients coupled with multiplex imaging and analysis of paired tissue samples pre- and post- NET with the AI exemestane. TASC composition predicted for decreased patient survival in the METABRIC cohort. Exemestane treatment significantly increased expression of TASC and decreased expression of TASC . The posttreatment shift toward TASC composition correlated with increased macrophage infiltration and increased CD8+ T-cell, B cell, and general stromal components. The effectiveness of NET is currently based solely on the reduction of ER+ breast cancer cells. Here, we show NET displays clear TME effects that promote the expansion of the less favorable TASC population which are correlated with TME remodeling and reshaping immune infiltration supportive of tumor progression. Our findings highlight the need to further understand the role of endocrine therapy on TME remodeling, tumor progression, and patient outcomes.

摘要

肿瘤微环境(TME)是雌激素受体α(ER)阳性乳腺癌对内分泌治疗产生反应和耐药的重要调节因子。内分泌治疗在大多数雌激素受体α(ER)阳性乳腺癌中,对于减轻肿瘤负荷和预防复发非常有效。现有药物要么通过靶向肿瘤细胞ER直接发挥作用,要么通过芳香化酶抑制剂(AI)抑制基质细胞中的雌激素生成间接发挥作用。然而,许多基质细胞也表达ER,内分泌治疗对ER+基质细胞的直接影响仍不清楚。在本研究中,我们通过测量有利于肿瘤进展的TME基质成分的变化,研究了新辅助内分泌治疗(NET)如何直接影响基质细胞。我们之前定义了肿瘤相关基质细胞(TASC)的两个主要亚群:CD146阳性/CDCP1阴性(TASC )、CD146阴性/CDCP1阳性(TASC ),并生成了与每种类型相关的差异表达基因列表。在这里,我们将TASC基因列表用于分类,并将一种估计免疫细胞丰度的算法(TIMEx)应用于ER+乳腺癌患者的METABRIC转录组数据,同时结合多重成像以及对使用AI依西美坦进行NET治疗前后的配对组织样本进行分析。TASC组成预测METABRIC队列中的患者生存率降低。依西美坦治疗显著增加了TASC 的表达并降低了TASC 的表达。治疗后向TASC 组成的转变与巨噬细胞浸润增加以及CD8+ T细胞、B细胞和一般基质成分增加相关。NET的有效性目前仅基于ER+乳腺癌细胞的减少。在这里,我们表明NET显示出明显的TME效应,促进了较不利的TASC群体的扩张,这与TME重塑和重塑支持肿瘤进展的免疫浸润相关。我们的研究结果强调需要进一步了解内分泌治疗在TME重塑、肿瘤进展和患者预后中的作用。

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