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arXiv 1808.04073q-bio.CBphysics.bio-ph
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量化癌症、转移和分化/发展之间的潜在机制和关系

Quantification of the underlying mechanisms and relationship among cancer, metastasis and differentiation/development

Chong Yu, Qiong Liu, Cong Chen, Jin Wang

摘要:

复发和转移一直被认为是癌症治疗的两大障碍。肿瘤干细胞(Cancer Stem Cell,CSC)是近年来发现的一种肿瘤干细胞,它以肿瘤的复发和对常用药物、化疗等治疗手段的抵抗为特征,参与肿瘤的发生发展。此外,最近的发现表明,上皮间质转化(EMT)是正常胚胎发生和组织修复的重要过程,这是癌症转移的必要步骤。虽然有许多迹象表明转移和干细胞之间的联系,研究往往是单独或最多是双向的,而不是在一个整体的方式。在这项研究中,我们的目的是探索全球机制和癌症,发展和转移之间的相互关系,目前还不清楚。首先,我们构建了一个核心基因调控网络基序,该基序包含CSC、EMT和癌症的特异性基因和microRNA。我们发现了七个不同的国家出现在底层景观中。它们被确定为正常、癌前病变、癌症、干细胞(SC)、癌症干细胞(CSC)、病变和增生状态。给出了每种状态的生物学定义,我们还讨论了每种状态的转移能力。我们展示了如何以及哪些类型的细胞可以转化为癌症状态,以及癌症,CSC和EMT之间的联系。的势垒高度和通量的动力学路径进行了探讨,以量化如何以及哪些细胞切换stochemical之间的状态。我们的景观模型提供了一种定量的方法,揭示了癌症,发展和转移的全球机制。

英文摘要:

Recurrence and metastasis have been regarded as two of the greatest obstacles for curing cancer. Cancer stem cell (CSC) have been found. They contribute to cancer development with the distinct feature of recurrence and resistance to the popular treatments such as drugs and chemotherapy. In addition, recent discoveries suggest that the epithelial mesenchymal transition (EMT) is an essential process in normal embryogenesis and tissue repair, which is a required step in cancer metastasis. Although there are many indications showing the connections between metastasis and stem cell, researches often studied them separately or at most bi-laterally, not in an integrated way. In this study, we aim at exploring the global mechanisms and interrelationship among cancer, development and metastasis which are currently poorly understood. To start, we constructed a core gene regulatory network motif which contain specific genes and microRNAs of CSC, EMT and cancer. We uncovered seven distinct states emerged from the underlying landscape. They are identified as Normal, Premalignant, Cancer, stem cell (SC), cancer stem cell (CSC), Lesion and Hyperlasia state. Given the biological definition of each state, we also discussed the metastasis ability of each state. We show how and which types of cells can be transformed to a cancer state and the connections among cancer, CSC and EMT. The barrier height and flux of the kinetic paths are explored to quantify how and which cells switch stochastically between the states. Our landscape model provides a quantitative way which reveals the global mechanisms of cancer, development and metastasis.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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