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乳腺密度和雌二醇与正常人类乳腺组织中代谢蛋白的不同表达模式相关。

Breast density and estradiol are associated with distinct different expression patterns of metabolic proteins in normal human breast tissue .

作者信息

Ekstrand Jimmy, Abrahamsson Annelie, Lundberg Peter, Dabrosin Charlotta

机构信息

Department of Oncology and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.

Department of Radiation Physics and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.

出版信息

Front Oncol. 2023 Mar 29;13:1128318. doi: 10.3389/fonc.2023.1128318. eCollection 2023.

Abstract

BACKGROUND

Breast density and exposure to sex steroids are major risk factors for breast cancer. The local microenvironment plays an essential role in progression of breast cancer. Metabolic adaption is a major hallmark of cancer. Whether proteins from the extracellular space regulating metabolism are affected in breast cancer, dense breasts or by estrogen exposure are not yet fully elucidated.

METHODS

Women with breast cancer, postmenopausal women with normal breast tissue with varying breast density or premenopausal women with breasts exposed to high levels of estradiol were included in the study. Microdialysis was used to collect proteins from the extracellular space in 73 women; 12 with breast cancer, 42 healthy postmenopausal women with different breast densities, and 19 healthy premenopausal women. Breast density was determined as lean tissue fraction (LTF) using magnetic resonance imaging. Data were evaluated in a murine breast cancer model. We quantified a panel of 92 key proteins regulating metabolism using proximity extension assay.

RESULTS

We report that 29 proteins were upregulated in human breast cancer. In dense breasts 37 proteins were upregulated and 17 of these were similarly regulated as in breast cancer. 32 proteins correlated with LTF. In premenopausal breasts 19 proteins were up-regulated and 9 down-regulated. Of these, 27 correlated to estradiol, a result that was confirmed for most proteins in experimental breast cancer. Only two proteins, pro-cathepsin H and galanin peptide, were similarly regulated in breast cancer, dense- and estrogen exposed breasts.

CONCLUSIONS

Metabolic proteins may be targetable for breast cancer prevention. Depending on risk factor, this may, however, require different approaches as breast density and estradiol induce distinct different expression patterns in the breast. Additionally, metabolic proteins from the extracellular space may indeed be further explored as therapeutic targets for breast cancer treatment.

摘要

背景

乳腺密度和性类固醇暴露是乳腺癌的主要危险因素。局部微环境在乳腺癌进展中起重要作用。代谢适应是癌症的一个主要标志。细胞外空间调节代谢的蛋白质在乳腺癌、致密乳腺或雌激素暴露中是否受到影响尚未完全阐明。

方法

本研究纳入了患有乳腺癌的女性、乳腺密度不同的绝经后正常乳腺组织女性或雌激素水平高的绝经前乳腺女性。使用微透析从73名女性的细胞外空间收集蛋白质;其中12名患有乳腺癌,42名乳腺密度不同的健康绝经后女性,以及19名健康绝经前女性。使用磁共振成像将乳腺密度确定为瘦组织分数(LTF)。在小鼠乳腺癌模型中评估数据。我们使用邻近延伸分析对一组92种调节代谢的关键蛋白质进行了定量。

结果

我们报告称,29种蛋白质在人类乳腺癌中上调。在致密乳腺中,37种蛋白质上调,其中17种与乳腺癌中的调节方式相似。32种蛋白质与LTF相关。在绝经前乳腺中,19种蛋白质上调,9种蛋白质下调。其中,27种与雌二醇相关,这一结果在实验性乳腺癌中的大多数蛋白质中得到证实。只有两种蛋白质,组织蛋白酶H前体和甘丙肽,在乳腺癌、致密乳腺和雌激素暴露乳腺中的调节方式相似。

结论

代谢蛋白可能是乳腺癌预防的靶点。然而,根据危险因素的不同,这可能需要不同的方法,因为乳腺密度和雌二醇在乳腺中诱导出明显不同的表达模式。此外,细胞外空间的代谢蛋白确实可能作为乳腺癌治疗的靶点进一步探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5475/10090464/1156de33d3e4/fonc-13-1128318-g001.jpg

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