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疾病个性化诊断相关的转化医学尝试
谢兰, 郭永, 黄国亮, 邢婉丽, 高华方, 祝令香, 王东, 张冠斌, 孙义民, 张治位, 王璨, 荆高山, 秦文彦, Keith Mitchelson, 周玉祥, 程京
转化医学研究. 2011, 1 (1): 46-68.
转化医学是一种新的生物医学研究和应用模式, 强调“从床旁到实验室再到床旁”的联接, 通过将基础医学研究成果转化为临床应用的工具, 使其在疾病预防、诊断、个体化治疗和预后等各个环节发挥重要作用。清华大学利用自身在生物芯片、系统生物学、化学、微电子工程、精密仪器等方面的学科优势, 从临床医院的实际需求出发, 通过实验室研究提出解决方案, 再与生物医学企业合作将科研成果转化为产品, 最后将产品回馈应用于临床, 探索出一条从“临床需求-高校研发-企业转化-临床应用”的成功途径。经过近十年的实践, 目前已有部分科研产品获得成功转化并应用到遗传病诊断、感染性疾病诊断、自身免疫性疾病诊断、肿瘤早期诊断和转移评价、辅助生殖、生物医学仪器研制等众多领域。
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Advances in translational medicine for individualized diagnosis of diseases
Lan Xie,Yong Guo,Guo-liang Huang,Wan-li Xing,Hua-fang Gao,Ling-xiang Zhu,Dong Wang,Guan-bin Zhang,Yi-min Sun,Zhi-wei Zhang,Can Wang,Gao-shan Jing,Wen-yan Qin,Keith Mitchelson,Yu-xiang Zhou,Jing Cheng
转化医学研究. 2011, 1 (1): 46-68.
Translational medicine is a newly emerging concept which emphasizes a link from “Bedside to Bench and back to Bedside”. It plays an important role in disease diagnosis and prevention, individualized treatment and prognosis evaluation through the translation of basic research achievements to clinical solutions. Using the advantages of biochip technology, systems biology, chemistry, micro-electronics, precision instruments and mechanology, and collaborating closely with leading clinical hospitals, Tsinghua University has established a new transformative model to link “Clinical Demands - Research in Universities or Institutions - Enterprise Transformation - Clinical Application”. After ten years of practice, great progress in translational medicine has been achieved in diverse medical fields including the diagnosis of hereditary diseases, infectious diseases, autoimmune diseases, early diagnosis for cervical cancer and risk prediction of distant metastasis for breast cancer, assisted reproductive technology and biomedical instrument development.
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Demands and challenges to the personal medicine of cancer research
Dan Li,Qi-min Zhan*
转化医学研究. 2011, 1 (1): 69-79.
Personalized medicine is defined as “a form of medicine that uses information about a person's genes, proteins, and environment to prevent, diagnose, and treat disease” by the U.S. National Cancer Institute. The applications of personalized medicine in cancer is broad, including: evaluating the risk of developing a particular type of cancer and selecting screening strategies to lower this risk; Matching the right patients with the appropriate treatments that are more likely to be effective and reducing side effects by targeting treatment to each individual patient; Predicting the risk of recurrence and providing strategies to identify the patients who would benefit from adjuvant therapy. With the help of advanced knowledge of molecular oncology and development of new technologies, such as whole genome sequencing, SNPs analysis, DNA-microarray technology, proteomics by mass spectrometry and bioinformatics, patients may receive more effective tailored therapy that targeting the specific tumor. Although many challenges still remain, it is clear that personalized medicine will dramatically change the cancer therapy in the near future.
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