Bueno-de-Mesquita Jolien M, van Harten Wim H, Retel Valesca P, van 't Veer Laura J, van Dam Frits Sam, Karsenberg Kim, Douma Kirsten Fl, van Tinteren Harm, Peterse Johannes L, Wesseling Jelle, Wu Tin S, Atsma Douwe, Rutgers Emiel Jt, Brink Guido, Floore Arno N, Glas Annuska M, Roumen Rudi Mh, Bellot Frank E, van Krimpen Cees, Rodenhuis Sjoerd, van de Vijver Marc J, Linn Sabine C
Department of Pathology, Divisions of Diagnostic Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands.
Division of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, Netherlands.
Lancet Oncol. 2007 Dec;8(12):1079-1087. doi: 10.1016/S1470-2045(07)70346-7. Epub 2007 Nov 26.
A microarray-based 70-gene prognosis signature might improve the selection of patients with node-negative breast cancer for adjuvant systemic treatment. The main aims of this MicroarRAy PrognoSTics in Breast CancER (RASTER) study were to assess prospectively the feasibility of implementation of the 70-gene prognosis signature in community-based settings and its effect on adjuvant systemic treatment decisions when considered with treatment advice formulated from the Dutch Institute for Healthcare Improvement (CBO) and other guidelines.
Between January, 2004 and December, 2006, 812 women aged under 61 years with primary breast carcinoma (clinical T1-4N0M0) were enrolled. Fresh tumour samples were collected in 16 hospitals in the Netherlands within 1 h after surgery. Clinicopathological factors were collected and microarray analysis was done with a custom-designed array chip that assessed the mRNA expression index of the 70 genes previously identified for the prognostic signature. Patients with a "good" signature were deemed to have a good prognosis and, therefore, could be spared adjuvant systemic treatment with its associated adverse effects, whereas patients with a "poor" signature were judged to have a poor prognosis and should be considered for adjuvant systemic treatment. Concordance between risk predicted by the prognosis signature and risk predicted by commonly used clinicopathological guidelines (ie, St Gallen guidelines, Nottingham Prognostic Index, and Adjuvant! Online) was assessed.
Of 585 eligible patients, 158 patients were excluded because of sampling failure (n=128) and incorrect procedure (n=30). Prognosis signatures were assessed in 427 patients. The 70-gene prognosis signature identified 219 (51%) patients with good prognosis and 208 (49%) patients with poor prognosis. The Dutch CBO guidelines identified 184 patients (43%) with poor prognosis, which was discordant with those findings obtained with the prognosis signature in 128 (30%) patients. Oncologists recommended adjuvant treatment in 203 (48%) patients based on Dutch CBO guidelines, in 265 (62%) patients if the guidelines were used with the prognosis signature, and in 259 (61%) patients if Dutch CBO guidelines, prognosis signature, and patients' preferences for treatment were all taken into account. Adjuvant! Online guidelines identified more patients with poor prognosis than did the signature alone (294 [69%]), and discordance with the signature occurred in 160 (37%) patients. St Gallen guidelines identified 353 (83%) patients with poor prognosis with the signature and discordance in 168 (39%) patients. Nottingham Prognostic Index recorded 179 (42%) patients with poor prognosis with the signature and discordance in 117 (27%) patients.
Use of the prognosis signature is feasible in Dutch community hospitals. Adjuvant systemic treatment was advised less often when the more restrictive Dutch CBO guidelines were used compared with that finally given after use of the prognosis signature. For the other guidelines assessed, less adjuvant chemotherapy would be given when the data based on prognosis signature alone are used, which might spare patients from adverse effects and confirms previous findings. Future studies should assess whether use of the prognosis signature could improve survival or equal survival while avoiding unnecessary adjuvant systemic treatment without affecting patients' survival, and further assess the factors that physicians use to recommend adjuvant systemic treatment.
基于微阵列的70基因预后特征可能有助于改善对腋窝淋巴结阴性乳腺癌患者进行辅助全身治疗的选择。本乳腺癌微阵列预后研究(RASTER)的主要目的是前瞻性评估在社区环境中应用70基因预后特征的可行性,以及在结合荷兰医疗保健改进研究所(CBO)制定的治疗建议和其他指南时,其对辅助全身治疗决策的影响。
在2004年1月至2006年12月期间,招募了812名年龄在61岁以下的原发性乳腺癌(临床T1-4N0M0)女性。在荷兰的16家医院,于术后1小时内收集新鲜肿瘤样本。收集临床病理因素,并使用定制设计的阵列芯片进行微阵列分析,该芯片可评估先前确定的用于预后特征的70个基因的mRNA表达指数。具有“良好”特征的患者被认为预后良好,因此可以避免辅助全身治疗及其相关不良反应,而具有“不良”特征的患者被判定预后不良,应考虑进行辅助全身治疗。评估预后特征预测的风险与常用临床病理指南(即圣加仑指南、诺丁汉预后指数和辅助治疗在线)预测的风险之间的一致性。
在585名符合条件的患者中,158名患者因采样失败(n=128)和操作错误(n=30)被排除。对427名患者评估了预后特征。70基因预后特征识别出219名(51%)预后良好的患者和208名(49%)预后不良的患者。荷兰CBO指南识别出184名(43%)预后不良的患者,这与预后特征得出的结果不一致,其中128名(30%)患者存在差异。根据荷兰CBO指南,肿瘤学家建议203名(48%)患者接受辅助治疗;如果将指南与预后特征结合使用,则建议265名(62%)患者接受辅助治疗;如果同时考虑荷兰CBO指南、预后特征和患者的治疗偏好,则建议259名(61%)患者接受辅助治疗。辅助治疗在线指南识别出的预后不良患者比仅使用预后特征时更多(294名[69%]),160名(37%)患者与预后特征存在差异。圣加仑指南识别出353名(83%)预后不良的患者,168名(39%)患者与预后特征存在差异。诺丁汉预后指数识别出179名(42%)预后不良的患者,1