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本文引用的文献

1
Rewiring urea cycle metabolism in cancer to support anabolism.重塑癌症中的尿素循环代谢以支持合成代谢。
Nat Rev Cancer. 2018 Oct;18(10):634-645. doi: 10.1038/s41568-018-0054-z.
2
Arginine and the metabolic regulation of nitric oxide synthesis in cancer.精氨酸与癌症中一氧化氮合成的代谢调控。
Dis Model Mech. 2018 Aug 6;11(8):dmm033332. doi: 10.1242/dmm.033332.
3
Mechanisms of Aquaporin-Facilitated Cancer Invasion and Metastasis.水通道蛋白促进癌症侵袭和转移的机制
Front Chem. 2018 Apr 25;6:135. doi: 10.3389/fchem.2018.00135. eCollection 2018.
4
Metabolomics of oncogene-specific metabolic reprogramming during breast cancer.乳腺癌中癌基因特异性代谢重编程的代谢组学
Cancer Metab. 2018 Apr 3;6:5. doi: 10.1186/s40170-018-0175-6. eCollection 2018.
5
Metabolic recycling of ammonia via glutamate dehydrogenase supports breast cancer biomass.通过谷氨酸脱氢酶进行的氨代谢循环支持乳腺癌的生物量。
Science. 2017 Nov 17;358(6365):941-946. doi: 10.1126/science.aam9305. Epub 2017 Oct 12.
6
mTOR and HDAC Inhibitors Converge on the TXNIP/Thioredoxin Pathway to Cause Catastrophic Oxidative Stress and Regression of RAS-Driven Tumors.mTOR 和组蛋白去乙酰化酶抑制剂通过 TXNIP/硫氧还蛋白途径汇聚导致灾难性氧化应激和 RAS 驱动的肿瘤消退。
Cancer Discov. 2017 Dec;7(12):1450-1463. doi: 10.1158/2159-8290.CD-17-0177. Epub 2017 Sep 29.
7
Understanding the Intersections between Metabolism and Cancer Biology.理解新陈代谢与癌症生物学之间的交叉点。
Cell. 2017 Feb 9;168(4):657-669. doi: 10.1016/j.cell.2016.12.039.
8
Adipocyte lipolysis links obesity to breast cancer growth: adipocyte-derived fatty acids drive breast cancer cell proliferation and migration.脂肪细胞脂解作用将肥胖与乳腺癌生长联系起来:脂肪细胞衍生的脂肪酸驱动乳腺癌细胞增殖和迁移。
Cancer Metab. 2017 Jan 13;5:1. doi: 10.1186/s40170-016-0163-7. eCollection 2017.
9
Obesity-associated NLRC4 inflammasome activation drives breast cancer progression.肥胖相关 NLRC4 炎性小体激活促进乳腺癌进展。
Nat Commun. 2016 Oct 6;7:13007. doi: 10.1038/ncomms13007.
10
The role of aquaporin-5 in cancer cell migration: A potential active participant.水通道蛋白5在癌细胞迁移中的作用:一个潜在的积极参与者。
Int J Biochem Cell Biol. 2016 Oct;79:271-276. doi: 10.1016/j.biocel.2016.09.005. Epub 2016 Sep 5.

水通道蛋白-7 调节乳腺癌细胞对细胞应激的反应。

Aquaporin-7 Regulates the Response to Cellular Stress in Breast Cancer.

机构信息

Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana.

Harper Cancer Research Institute, South Bend, Indiana.

出版信息

Cancer Res. 2020 Oct 1;80(19):4071-4086. doi: 10.1158/0008-5472.CAN-19-2269. Epub 2020 Jul 6.

DOI:10.1158/0008-5472.CAN-19-2269
PMID:32631905
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7899076/
Abstract

The complex yet interrelated connections between cancer metabolism, gene expression, and oncogenic driver genes have the potential to identify novel biomarkers and drug targets with prognostic and therapeutic value. Here we effectively integrated metabolomics and gene expression data from breast cancer mouse models through a novel unbiased correlation-based network analysis. This approach identified 35 metabolite and 34 gene hubs with the most network correlations. These hubs have prognostic value and are likely integral to tumor metabolism and breast cancer. The gene hub Aquaporin-7 (), a water and glycerol channel, was identified as a novel regulator of breast cancer. was prognostic of overall survival in patients with breast cancer. In mouse breast cancer models, reduced expression of caused reduced primary tumor burden and lung metastasis. Metabolomics and complex lipid profiling of cells and tumors with reduced revealed significantly altered lipid metabolism, glutathione metabolism, and urea/arginine metabolism compared with controls. These data identify AQP7 as a critical regulator of metabolic and signaling responses to environmental cellular stresses in breast cancer, highlighting AQP7 as a potential cancer-specific therapeutic vulnerability. SIGNIFICANCE: Aquaporin-7 is identified as a critical regulator of nutrient availability and signaling that responds to cellular stresses, making it an attractive therapeutic target in breast cancer. GRAPHICAL ABSTRACT: http://cancerres.aacrjournals.org/content/canres/80/19/4071/F1.large.jpg.

摘要

癌症代谢、基因表达和致癌驱动基因之间复杂而相互关联的联系有可能识别出具有预后和治疗价值的新型生物标志物和药物靶点。在这里,我们通过一种新颖的基于无偏相关的网络分析方法,有效地整合了乳腺癌小鼠模型的代谢组学和基因表达数据。该方法确定了 35 个代谢物和 34 个具有最多网络相关性的基因枢纽。这些枢纽具有预后价值,并且可能是肿瘤代谢和乳腺癌的重要组成部分。基因枢纽水通道蛋白 7 (Aquaporin-7,),一种水和甘油通道,被鉴定为乳腺癌的新型调节因子。在乳腺癌患者中具有总体生存的预后价值。在小鼠乳腺癌模型中,表达减少导致原发性肿瘤负担和肺转移减少。与对照组相比,减少表达的细胞和肿瘤的代谢组学和复杂脂质分析显示脂质代谢、谷胱甘肽代谢和尿素/精氨酸代谢发生了明显改变。这些数据表明 AQP7 是乳腺癌对环境细胞应激的代谢和信号反应的关键调节因子,强调 AQP7 作为一种潜在的癌症特异性治疗弱点。意义:水通道蛋白 7 (Aquaporin-7,) 被鉴定为一种关键的营养物质可用性和信号调节因子,它对细胞应激做出反应,使其成为乳腺癌有吸引力的治疗靶点。