Clinical application of precision medicine: Zhongshan Hospital strategy

Xiangdong Wang
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Abstract

Tomorrow's genome medicine in lung cancer should focus more on the homogeneity and heterogeneity of lung cancer which play an important role in the development of drug resistance, genetic complexity, as well as confusion and difficulty of early diagnosis and therapy. Chromosome positioning and repositioning may contribute to the sensitivity of lung cancer cells to therapy, the heterogeneity associated with drug resistance, and the mechanism of lung carcinogenesis. The CCCTC-binding factor plays critical roles in genome topology and function, increased risk of carcinogenicity, and potential of lung cancer-specific mediations. Chromosome reposition in lung cancer can be regulated by CCCTC binding factor. Single-cell gene sequencing, as part of genome medicine, was paid special attention in lung cancer to understand mechanical phenotypes, single-cell biology, heterogeneity, and chromosome positioning and function of single lung cancer cells. We at first propose to develop an intelligent single-cell robot of human cells to integrate together systems information of molecules, genes, proteins, organelles, membranes, architectures, signals, and functions. It can be a powerful automatic system to assist clinicians in the decision-making, molecular understanding, risk analyzing, and prognosis predicting.
精准医学的临床应用:中山医院战略
未来的肺癌基因组医学应该更多地关注肺癌的同质性和异质性,这在耐药性的发展、遗传复杂性以及早期诊断和治疗的混乱和困难中起着重要作用。染色体定位和重定位可能有助于肺癌细胞对治疗的敏感性,与耐药相关的异质性以及肺癌发生的机制。ccctc结合因子在基因组拓扑和功能、增加致癌性风险以及肺癌特异性药物的潜力方面发挥着关键作用。肺癌染色体重定位可受CCCTC结合因子调控。单细胞基因测序作为基因组医学的一部分,在肺癌研究中受到特别关注,以了解单个肺癌细胞的机械表型、单细胞生物学、异质性以及染色体定位和功能。我们首先提出开发一种能够整合分子、基因、蛋白质、细胞器、膜、结构、信号和功能等系统信息的人类细胞智能单细胞机器人。它可以成为一个强大的自动化系统,帮助临床医生进行决策,分子理解,风险分析和预后预测。
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