Peters L J, Brock W, Johnson T
Cancer. 1985 May 1;55(9 Suppl):2118-22. doi: 10.1002/1097-0142(19850501)55:9+<2118::aid-cncr2820551414>3.0.co;2-d.
Several predictors of tumor radiocurability are already integrated into clinical practice, e.g., tumor size, gross morphologic features (i.e., infiltrative or exophytic), histologic type, and grade. These are relatively imprecise, however, and none is specific. The aim of research into predictive assays is not only to refine the discrimination of existing predictors but also to suggest specific experimental approaches for overcoming tumor radioresistance in individual patients. Two broad categories of predictive assays can be defined: direct and indirect measurements of tumor cell survival and/or repair capability following irradiation and measurement of cellular and extracellular parameters affecting radiosensitivity. Examples from ongoing research at the University of Texas M. D. Anderson Hospital using one technique from each category (the micronucleus assay and flow cytometric analysis of tumor cell proliferation kinetics and ploidy) are used to illustrate potential methods of selecting patients for fast neutron radiotherapy.
几种肿瘤放射可治愈性的预测指标已被纳入临床实践，例如肿瘤大小、大体形态特征（即浸润性或外生性）、组织学类型和分级。然而，这些指标相对不够精确，且无一具有特异性。预测分析研究的目的不仅是优化现有预测指标的辨别能力，还在于提出针对个体患者克服肿瘤放射抗性的具体实验方法。可定义两类广泛的预测分析：照射后对肿瘤细胞存活和/或修复能力的直接和间接测量，以及对影响放射敏感性的细胞和细胞外参数的测量。德克萨斯大学MD安德森医院正在进行的研究中，分别使用每类中的一种技术（微核试验以及肿瘤细胞增殖动力学和倍性的流式细胞术分析）的实例，用于说明为快中子放射治疗选择患者的潜在方法。
