Cree Ian A, Charlton Peter
Department of Pathology, University Hospitals Coventry and Warwickshire, Coventry, CV2 2DX, UK.
Faculty of Health and Life Sciences, Coventry University, Priory Street, Coventry, CV1 5FB, UK.
BMC Cancer. 2017 Jan 5;17(1):10. doi: 10.1186/s12885-016-2999-1.
The development of resistance is a problem shared by both classical chemotherapy and targeted therapy. Patients may respond well at first, but relapse is inevitable for many cancer patients, despite many improvements in drugs and their use over the last 40 years.
Resistance to anti-cancer drugs can be acquired by several mechanisms within neoplastic cells, defined as (1) alteration of drug targets, (2) expression of drug pumps, (3) expression of detoxification mechanisms, (4) reduced susceptibility to apoptosis, (5) increased ability to repair DNA damage, and (6) altered proliferation. It is clear, however, that changes in stroma and tumour microenvironment, and local immunity can also contribute to the development of resistance. Cancer cells can and do use several of these mechanisms at one time, and there is considerable heterogeneity between tumours, necessitating an individualised approach to cancer treatment. As tumours are heterogeneous, positive selection of a drug-resistant population could help drive resistance, although acquired resistance cannot simply be viewed as overgrowth of a resistant cancer cell population. The development of such resistance mechanisms can be predicted from pre-existing genomic and proteomic profiles, and there are increasingly sophisticated methods to measure and then tackle these mechanisms in patients.
The oncologist is now required to be at least one step ahead of the cancer, a process that can be likened to 'molecular chess'. Thus, as well as an increasing role for predictive biomarkers to clinically stratify patients, it is becoming clear that personalised strategies are required to obtain best results.
耐药性的产生是传统化疗和靶向治疗共同面临的问题。尽管在过去40年里药物及其使用方法有了诸多改进,但患者起初可能反应良好,但许多癌症患者复发仍不可避免。
肿瘤细胞可通过多种机制获得抗癌药物耐药性,这些机制包括:(1)药物靶点改变;(2)药物泵的表达;(3)解毒机制的表达;(4)对凋亡的敏感性降低;(5)DNA损伤修复能力增强;(6)增殖改变。然而,很明显,基质和肿瘤微环境的变化以及局部免疫也会导致耐药性的产生。癌细胞能够且确实会同时利用其中几种机制,而且肿瘤之间存在相当大的异质性,这就需要采用个体化的癌症治疗方法。由于肿瘤具有异质性,耐药群体的阳性选择可能会促使耐药性的产生,尽管获得性耐药不能简单地被视为耐药癌细胞群体的过度生长。可以根据预先存在的基因组和蛋白质组图谱预测此类耐药机制的发展,并且有越来越复杂的方法来测量并应对患者体内的这些机制。
肿瘤学家现在需要至少比癌症快一步,这一过程可以比作“分子棋”。因此,除了预测性生物标志物在临床上对患者进行分层的作用日益增加外,越来越明显的是,需要采用个性化策略才能取得最佳效果。