van Leeuwen Ingeborg M M, Edwards Carina M, Ilyas Mohammad, Byrne Helen M
Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
World J Gastroenterol. 2007 Mar 7;13(9):1399-407. doi: 10.3748/wjg.v13.i9.1399.
Colorectal cancer (CRC) is one of the best characterised cancers, with extensive data documenting the sequential gene mutations that underlie its development. Complementary datasets are also being generated describing changes in protein and RNA expression, tumour biology and clinical outcome. Both the quantity and the variety of information are inexorably increasing and there is now an accompanying need to integrate these highly disparate datasets. In this article we aim to explain why we believe that mathematical modelling represents a natural tool or language with which to integrate these data and, in so doing, to provide insight into CRC.
结直肠癌(CRC)是特征最为明确的癌症之一,有大量数据记录了其发生发展过程中相继出现的基因突变。同时,也在生成补充数据集,描述蛋白质和RNA表达的变化、肿瘤生物学及临床结果。信息的数量和种类都在不断增加,因此现在迫切需要整合这些差异极大的数据集。在本文中,我们旨在解释为什么我们认为数学建模是整合这些数据的天然工具或语言,并且通过这样做来深入了解结直肠癌。