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1.
Chinese Journal of Cancer Biotherapy ; (6): 1199-1205, 2020.
Article in Chinese | WPRIM | ID: wpr-831386

ABSTRACT

@#甲状腺癌是常见的内分泌恶性肿瘤,发病率逐年增加。深入了解甲状腺癌发生发展机制对提高诊断准确性、进行精准风险分层和实现个性化治疗至关重要。近年来,随着质谱相关技术的不断发展,基于不同标本类型(细胞、组织、血清和尿液)的多种蛋白质组学分析方法已被广泛应用于甲状腺癌的研究中,从阐明发病机制、诊断分型、预测预后和靶向治疗等方面积极地推动了甲状腺癌精准诊疗的发展。

2.
Chinese Journal of Cancer Biotherapy ; (6): 1297-1304, 2019.
Article in Chinese | WPRIM | ID: wpr-793171

ABSTRACT

@# Tumor is a complex systemic disease, involving abnormalities at multiple levels, such as DNA, RNA, protein and metabolite. According to the central rule, the derived omics methods are genomics, transcriptomics, proteomics and metabonomics. In the past few decades, there have been remarkable achievements in the single omics study of tumor, but the exact mechanism of tumor development is still unclear. In order to reveal the process of tumorigenesis and development in a more systematic way, the research of multiomics came into being, which promoted the transformation of tumor research paradigm from single parameter model to multi parameter system model. The integration of multi-omics methods is expected to clarify the mechanism of tumor occurrence and development, find biomarkers with diagnostic, prognostic and predictive performance, explore new treatment targets, and finally achieve predictive, preventive, and personalized medicine (PPPM). This paper reviews the research methods and progress of different omics techniques in tumor research, especially emphasizes the importance and scientific value of the integration of multiple omics techniques in tumor research and clinical related results.

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