首页> 外文期刊>Cell cycle >The autophagic tumor stroma model of cancer: Role of oxidative stress and ketone production in fueling tumor cell metabolism.
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The autophagic tumor stroma model of cancer: Role of oxidative stress and ketone production in fueling tumor cell metabolism.

机译:癌症的自噬性肿瘤基质模型:氧化应激和酮产生在促进肿瘤细胞代谢中的作用。

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A loss of stromal Cav-1 in the tumor fibroblast compartment is associated with early tumor recurrence, lymph-node metastasis, and tamoxifen-resistance, resulting in poor clinical outcome in breast cancer patients. Here, we have used Cav-1 (-/-) null mice as a pre-clinical model for this "lethal tumor micro-environment." Metabolic profiling of Cav-1 (-/-) mammary fat pads revealed the upregulation of numerous metabolites (nearly 100), indicative of a major catabolic phenotype. Our results are consistent with the induction of oxidative stress, mitochondrial dysfunction, and autophagy/mitophagy. The two most prominent metabolites that emerged from this analysis were ADMA (asymmetric dimethyl arginine) and BHB (beta-hydroxybutyrate; a ketone body), which are markers of oxidative stress and mitochondrial dysfunction, respectively. Transcriptional profiling of Cav-1 (-/-) stromal cells and human tumor stroma from breast cancer patients directly supported an association with oxidative stress, mitochondrial dysfunction, and autophagy/mitophagy, as well as ADMA and ketone production. MircoRNA profiling of Cav-1 (-/-) stromal cells revealed the upregulation of two key cancer-related miR's, namely miR-31 and miR-34c. Consistent with our metabolic findings, these miR's are associated with oxidative stress (miR-34c) or activation of the hypoxic response/HIF1a (miR-31), which is sufficient to drive authophagy/mitophagy. Thus, via an unbiased comprehensive analysis of a lethal tumor micro-environment, we have identified a number of candidate biomarkers (ADMA, ketones, and miR-31/34c) that could be used to identify high-risk cancer patients at diagnosis, for treatment stratification and/or for evaluating therapeutic efficacy during anti-cancer therapy. We propose that the levels of these key biomarkers (ADMA, ketones/BHB, miR-31, and miR-34c) could be (1) assayed using serum or plasma from cancer patients, or (2) performed directly on excised tumor tissue. Importantly, induction of oxidative stress and autophagy/mitophagy in the tumor stromal compartment provides a means by which epithelial cancer cells can directly "feed off" of stromal-derived essential nutrients, chemical building blocks (amino acids, nucleotides), and energy-rich metabolites (glutamine, pyruvate, ketones/BHB), driving tumor progression and metastasis. Essentially, aggressive cancer cells are "eating" the cancer-associated fibroblasts via autophagy/mitophagy in the tumor micro-environment. Lastly, we discuss that this "Autophagic Tumor Stroma Model of Cancer Metabolism" provides a viable solution to the "Autophagy Paradox" in cancer etiology and chemo-therapy.
机译:肿瘤成纤维细胞间质中Cav-1的缺失与早期肿瘤复发,淋巴结转移和他莫昔芬耐药有关,导致乳腺癌患者的临床预后较差。在这里,我们已经使用Cav-1(-/-)null小鼠作为这种“致命肿瘤微环境”的临床前模型。 Cav-1(-/-)乳腺脂肪垫的代谢谱分析揭示了许多代谢产物(近100种)的上调,表明存在主要的分解代谢表型。我们的结果与氧化应激,线粒体功能障碍和自噬/线粒体的诱导一致。从该分析中得出的两个最突出的代谢产物是ADMA(不对称二甲基精氨酸)和BHB(β-羟基丁酸酯;酮体),它们分别是氧化应激和线粒体功能障碍的标志。乳腺癌患者的Cav-1(-/-)基质细胞和人肿瘤基质的转录谱分析直接支持了与氧化应激,线粒体功能障碍,自噬/有丝分裂以及ADMA和酮产生的关系。 Cav-1(-/-)基质细胞的MircoRNA分析揭示了两个关键的癌症相关miR,即miR-31和miR-34c的上调。与我们的代谢发现一致,这些miR与氧化应激(miR-34c)或低氧反应/ HIF1a(miR-31)的激活有关,足以驱动自觉/有丝分裂。因此,通过对致死性肿瘤微环境的无偏综合分析,我们确定了许多候选生物标志物(ADMA,酮和miR-31 / 34c),可用于在诊断时鉴定高危癌症患者,治疗分层和/或评估抗癌治疗期间的疗效。我们建议,这些关键生物标志物(ADMA,酮/ BHB,miR-31和miR-34c)的水平可以(1)使用来自癌症患者的血清或血浆进行测定,或者(2)直接在切除的肿瘤组织上进行测定。重要的是,在肿瘤基质区室中氧化应激的诱导和自噬/有丝分裂提供了一种手段,上皮癌细胞可以通过这种方法直接“摄取”基质衍生的基本营养素,化学组成部分(氨基酸,核苷酸)和能量丰富的代谢物(谷氨酰胺,丙酮酸,酮/ BHB),驱动肿瘤进展和转移。本质上,侵袭性癌细胞通过肿瘤微环境中的自噬/有丝分裂“吞噬”与癌症相关的成纤维细胞。最后,我们讨论了这种“癌症代谢的自噬肿瘤基质模型”为癌症病因和化学疗法中的“自噬悖论”提供了可行的解决方案。

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