The Swiss Institute for Experimental Cancer Research (ISREC), School of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Mol Oncol. 2012 Apr;6(2):111-27. doi: 10.1016/j.molonc.2012.01.011. Epub 2012 Feb 4.
It is a time of great promise and expectation for the applications of knowledge about mechanisms of cancer toward more effective and enduring therapies for human disease. Conceptualizations such as the hallmarks of cancer are providing an organizing principle with which to distill and rationalize the abject complexities of cancer phenotypes and genotypes across the spectrum of the human disease. A countervailing reality, however, involves the variable and often transitory responses to most mechanism-based targeted therapies, returning full circle to the complexity, arguing that the unique biology and genetics of a patient's tumor will in the future necessarily need to be incorporated into the decisions about optimal treatment strategies, the frontier of personalized cancer medicine. This perspective highlights considerations, metrics, and methods that may prove instrumental in charting the landscape of evaluating individual tumors so to better inform diagnosis, prognosis, and therapy. Integral to the consideration is remarkable heterogeneity and variability, evidently embedded in cancer cells, but likely also in the cell types composing the supportive and interactive stroma of the tumor microenvironment (e.g., leukocytes and fibroblasts), whose diversity in form, regulation, function, and abundance may prove to rival that of the cancer cells themselves. By comprehensively interrogating both parenchyma and stroma of patients' cancers with a suite of parametric tools, the promise of mechanism-based therapy may truly be realized.
这是一个充满希望和期待的时期,人们对癌症机制的认识有望为人类疾病带来更有效、更持久的治疗方法。概念,如癌症的标志,为提炼和合理化癌症表型和基因型的绝对复杂性提供了一个组织原则,跨越了人类疾病的范围。然而,一个相反的现实是,大多数基于机制的靶向治疗的反应是可变的,而且往往是短暂的,这回到了复杂性上,认为患者肿瘤的独特生物学和遗传学在未来必然需要纳入关于最佳治疗策略的决策中,这是个性化癌症医学的前沿。这种观点强调了一些考虑因素、指标和方法,这些因素和方法可能在绘制评估单个肿瘤的蓝图方面具有重要作用,以便更好地为诊断、预后和治疗提供信息。考虑的一个重要因素是明显的异质性和可变性,这些显然嵌入在癌细胞中,但也可能存在于构成肿瘤微环境的支持性和相互作用基质的细胞类型中(例如,白细胞和成纤维细胞),它们在形式、调节、功能和丰度上的多样性可能与癌细胞本身相媲美。通过用一系列参数工具全面检测患者癌症的实质和基质,基于机制的治疗的承诺可能真正实现。