Pub Date : 1900-01-01DOI: 10.1002/9781118026038.CH11
Jeff Shrager, J. Tenenbaum, Michael D. Travers
Despite the enormous strides medicine has made in the understanding and treatment of human disease, millions of people each year succumb to cancer. This chapter describes Cancer Commons, an approach to the treatment of cancer that echoes the eloquent words of Alexander Dumas in his 1844 masterpiece, The Three Musketeers: Un pour tous, tous pour un ( “ One for all, all for one ” ). The central idea that drives Cancer Commons is that biomedicine is essentially a huge ongoing experiment and the data resulting from every patient encounter should contribute as effi ciently as possible to improved treatment for each subsequent patient. In theory, to make this work, one need only treat each patient based upon the best available knowledge, gather all possible data from every such encounter, combine and analyze all of the data instantaneously, update the knowledge base accordingly, and then disseminate the updated knowledge base to inform treatment decisions for every subsequent patient encounter. Although diffi cult in practice, Cancer Commons is bringing this vision to reality through Internet technologies and advanced laboratory and computational techniques for dissecting cancer at the molecular level.
尽管医学在理解和治疗人类疾病方面取得了巨大进步，但每年仍有数百万人死于癌症。这一章描述了癌症共享，这是一种治疗癌症的方法，与亚历山大·大仲马在他1844年的杰作《三个火枪手》中雄辩的话语相呼应:Un pour tous, tous pour Un(“我为大家，大家为我”)。推动癌症共享的中心思想是，生物医学本质上是一个巨大的正在进行的实验，从每个病人身上得到的数据应该尽可能有效地为每个后续病人的治疗做出贡献。理论上，要做到这一点，我们只需要根据最好的可用知识来治疗每个病人，从每一次这样的遭遇中收集所有可能的数据，立即合并和分析所有的数据，相应地更新知识库，然后传播更新的知识库，为随后的每一次病人的治疗决策提供信息。尽管在实践中有困难，但癌症共享正在通过互联网技术和先进的实验室和计算技术在分子水平上解剖癌症，将这一愿景变为现实。
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