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Mathematical model of hypoxia and tumor signaling interplay reveals the importance of hypoxia and cell-to-cell variability in tumor growth inhibition

机译:低氧和肿瘤信号相互作用的数学模型揭示了低氧和细胞间变异性在肿瘤生长抑制中的重要性

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摘要

BackgroundHuman tumor is a complex tissue with multiple heterogeneous hypoxic regions and significant cell-to-cell variability. Due to the complexity of the disease, the explanation of why anticancer therapies fail cannot be attributed to intrinsic or acquired drug resistance alone. Furthermore, there are inconsistent reports of hypoxia-induced kinase activities in different cancer cell-lines, where increase, decreases, or no change has been observed. Thus, we asked, why are there widely contrasting results in kinase activity under hypoxia in different cancer cell-lines and how does hypoxia play a role in anti-cancer drug sensitivity?
机译:背景人类肿瘤是具有多个异质缺氧区域和明显的细胞间变异性的复杂组织。由于疾病的复杂性,抗癌疗法失败的原因不能仅归因于内在或获得性耐药。此外,在不同癌细胞系中低氧诱导的激酶活性的报道不一致,其中观察到了增加,减少或没有变化。因此,我们问,为什么在不同癌细胞系中的缺氧条件下激酶活性存在广泛的对比结果,缺氧如何在抗癌药物敏感性中起作用?

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