Kelly-Spratt Karen S, Kasarda A Erik, Igra Mark, Kemp Christopher J
Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
J Proteome Res. 2008 Aug;7(8):3613-8. doi: 10.1021/pr800210b. Epub 2008 Jul 15.
Early detection of cancer using biomarkers obtained from blood or other easily accessible tissues would have a significant impact on reducing cancer mortality. However, identifying new blood-based biomarkers has been hindered by the dynamic complexity of the human plasma proteome, confounded by genetic and environmental variability, and the scarcity of high quality controlled samples. In this report, we discuss a new paradigm for biomarker discovery through the use of mouse models. Inbred mouse models of cancer recapitulate many critical features of human cancer, while eliminating sources of environmental and genetic variability. The ability to collect samples from highly matched cases and controls under identical conditions further reduces variability which is critical for successful biomarker discovery. We describe the establishment of a repository containing tumor, plasma, urine, and other tissues from 10 different mouse models of human cancer, including two breast, two lung, two prostate, two gastrointestinal, one ovarian, and one skin tumor model. We present the overall design of this resource and its potential use by the research community for biomarker discovery.
利用从血液或其他易于获取的组织中获得的生物标志物进行癌症的早期检测，将对降低癌症死亡率产生重大影响。然而，人类血浆蛋白质组的动态复杂性、遗传和环境变异性的干扰以及高质量对照样本的稀缺，阻碍了新型血液生物标志物的识别。在本报告中，我们讨论了一种通过使用小鼠模型发现生物标志物的新范式。癌症近交系小鼠模型概括了人类癌症的许多关键特征，同时消除了环境和遗传变异性的来源。在相同条件下从高度匹配的病例和对照中收集样本的能力进一步降低了变异性，这对于成功发现生物标志物至关重要。我们描述了一个储存库的建立，该储存库包含来自10种不同人类癌症小鼠模型的肿瘤、血浆、尿液和其他组织，包括两种乳腺癌、两种肺癌、两种前列腺癌、两种胃肠道癌、一种卵巢癌和一种皮肤肿瘤模型。我们展示了该资源的总体设计及其在生物标志物发现方面可供研究界使用的潜力。
