Jeruss Jacqueline S, Mittendorf Elizabeth A, Tucker Susan L, Gonzalez-Angulo Ana M, Buchholz Thomas A, Sahin Aysegul A, Cormier Janice N, Buzdar Aman U, Hortobagyi Gabriel N, Hunt Kelly K
Department of Surgical Oncology, The University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Blvd, Unit 444, Houston, TX 77030, USA.
J Clin Oncol. 2008 Jan 10;26(2):246-52. doi: 10.1200/JCO.2007.11.5352. Epub 2007 Dec 3.
Neoadjuvant chemotherapy is being used with increasing frequency for operable breast cancer. We hypothesized that by using clinical and pathologic staging parameters, in conjunction with biologic tumor markers, a novel means of determining prognosis for patients treated with neoadjuvant chemotherapy could be facilitated.
A prospective database of patients treated with neoadjuvant chemotherapy from 1997 to 2003 was reviewed, and 932 patients meeting inclusion criteria were identified. Clinical and pathologic tumor characteristics, treatment regimens, and patient outcomes were recorded. Cox proportional hazards models were used to create two prognostic scoring systems. American Joint Committee on Cancer (AJCC) clinical and pathologic staging parameters and biologic tumor markers were investigated to devise the scoring systems.
Median follow-up time was 5 years (range, 0.4 to 9.4 years). Five-year disease-specific survival rate was 96% for patients who experienced a pathologic complete response (pCR; n = 130) compared with 87% for patients who did not have a pCR (n = 802; P = .001). Two scoring systems, based on summing binary indicators for clinical substages >/= IIB and >/= IIIB, pathologic substages >/= ypIIA and >/= ypIIIC, negative estrogen receptor status, and grade 3 pathology, were devised to predict 5-year patient outcomes. These scoring systems facilitated separation of the study population into more refined subgroups by outcome than the current AJCC staging system.
The scoring systems derived in this work provide a novel means for evaluating prognosis after neoadjuvant therapy. Future work will focus on prospective validation of these scoring systems and refinement of the scoring systems through addition of new biologic markers.
新辅助化疗在可手术乳腺癌中的应用频率日益增加。我们假设,通过结合临床和病理分期参数以及生物肿瘤标志物,可促进一种确定接受新辅助化疗患者预后的新方法。
回顾了1997年至2003年接受新辅助化疗患者的前瞻性数据库,确定了932例符合纳入标准的患者。记录临床和病理肿瘤特征、治疗方案及患者预后。采用Cox比例风险模型创建两个预后评分系统。研究美国癌症联合委员会(AJCC)临床和病理分期参数以及生物肿瘤标志物以设计评分系统。
中位随访时间为5年(范围0.4至九年)。病理完全缓解(pCR;n = 130)患者的5年疾病特异性生存率为96%,未达到pCR的患者(n = 802)为87%(P = 0.001)。设计了两个评分系统,通过对临床亚分期≥IIB和≥IIIB、病理亚分期≥ypIIA和≥ypIIIC、雌激素受体阴性状态以及病理3级的二元指标求和,来预测患者5年预后。与当前的AJCC分期系统相比,这些评分系统有助于根据预后将研究人群进一步细分为更精确的亚组。
本研究得出的评分系统为评估新辅助治疗后的预后提供了一种新方法。未来的工作将集中于对这些评分系统进行前瞻性验证,并通过添加新的生物标志物来完善评分系统。