Van den Abbeele Annick D
Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA.
Oncologist. 2008;13 Suppl 2:8-13. doi: 10.1634/theoncologist.13-S2-8.
Traditional anatomic tumor response criteria are based on uni- or bidimensional changes in tumor size, and do not take into account changes in tumor metabolism, tumor density, or decrease in the number of intratumoral vessels. These changes are, however, all indicative of response to imatinib therapy in patients with gastrointestinal stromal tumor (GIST). In these patients, metabolic responses seen on positron emission tomography (PET) using fluorine-18-fluorodeoxyglucose (18FDG) have been shown to be closely related to clinical benefit. Furthermore, these metabolic changes precede by weeks or months significant decrease in tumor size on computed tomography (CT). Conversely, lack of metabolic response on FDG-PET indicates primary resistance to the drug and may help identify patients who would benefit from another therapy, while re-emergence of metabolic activity within tumor sites following a period of therapeutic response indicates secondary resistance to the drug. Newly proposed CT criteria using either no growth in tumor size or a combination of tumor density and size criteria have shown a close correlation with the predictive value results of FDG-PET. Thus, the integration of FDG-PET and CT, as in the combined hybrid PET/CT scanners now available, will not only optimize the evaluation of patients with GIST treated with molecularly targeted drugs, but may ultimately help shorten clinical trials, and accelerate drug development in this disease and other cancers as well.
传统的解剖学肿瘤反应标准基于肿瘤大小的一维或二维变化,并未考虑肿瘤代谢、肿瘤密度或肿瘤内血管数量的减少。然而,这些变化均表明胃肠道间质瘤(GIST)患者对伊马替尼治疗有反应。在这些患者中,使用氟-18-氟脱氧葡萄糖(18FDG)的正电子发射断层扫描(PET)显示的代谢反应已被证明与临床获益密切相关。此外,这些代谢变化比计算机断层扫描(CT)上肿瘤大小显著减小提前数周或数月出现。相反,FDG-PET上缺乏代谢反应表明对该药物原发性耐药,可能有助于识别将从其他治疗中获益的患者,而在一段治疗反应期后肿瘤部位代谢活性重新出现表明对该药物继发性耐药。新提出的使用肿瘤大小无增长或肿瘤密度与大小标准相结合的CT标准已显示与FDG-PET的预测价值结果密切相关。因此,如现在可用的组合式PET/CT扫描仪那样将FDG-PET和CT整合起来,不仅将优化对接受分子靶向药物治疗的GIST患者的评估,而且最终可能有助于缩短临床试验,并加速该疾病及其他癌症的药物研发。