Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Department of Gynecologic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Int J Radiat Oncol Biol Phys. 2020 Mar 1;106(3):496-502. doi: 10.1016/j.ijrobp.2019.11.013. Epub 2019 Nov 20.
Variability exists in the adjuvant treatment for endometrial cancer (EC) based on surgical pathology and institutional preference. The radiosensitivity index (RSI) is a previously validated multigene expression index that estimates tumor radiosensitivity. We evaluate RSI as a genomic predictor for pelvic failure (PF) in EC patients treated with adjuvant radiation therapy (RT).
Using our institutional tissue biorepository, we identified EC patients treated between January 1999 and April 2011 with primarily endometrioid histology (n = 176; 86%) who received various adjuvant therapies. The RSI 10-gene signature was calculated for each sample using the previously published algorithm. Radiophenotype was determined using the previously identified cutpoint where RSI ≥ 0.375 denotes radioresistance (RR) and RSI < 0.375 describes radiosensitivity.
A total of 204 patients were identified, of which 83 (41%) were treated with adjuvant RT. Median follow-up was 38.5 months. All patients underwent hysterectomy with bilateral salpingo-oophorectomy with the majority undergoing lymph node dissection (n = 181; 88%). In patients treated with radiation, RR tumors were more likely to experience PF (3-year pelvic control 84% vs 100%; P = .02) with worse PF-free survival (PFFS) (3-year PFFS 65% vs 89%; P = .04). Furthermore, in the patients who did not receive RT, there was no difference in PF (P = .87) or PFFS (P = .57) between the RR/radiosensitive tumors. On multivariable analysis, factors that continued to predict for PF included the RR phenotype (hazard ratio [HR], 12.2; P = .003), lymph node involvement (HR, 4.4; P = .02), and serosal or adnexal involvement (HR, 5.3; P = .01).
On multivariable analysis, RSI was found to be a significant predictor of PF in patients treated with adjuvant RT. We propose using RSI to predict which patients are at higher risk for failing in the pelvis and may be candidates for treatment escalation in the adjuvant setting.
基于手术病理和机构偏好,子宫内膜癌(EC)的辅助治疗存在变异性。放射敏感性指数(RSI)是一种先前经过验证的多基因表达指数,可估计肿瘤的放射敏感性。我们评估 RSI 作为接受辅助放疗(RT)的 EC 患者发生盆部失败(PF)的基因组预测指标。
利用我们的机构组织生物库,我们鉴定了 1999 年 1 月至 2011 年 4 月期间主要为子宫内膜样组织学(n = 176;86%)并接受各种辅助治疗的 EC 患者。使用先前发表的算法计算每个样本的 RSI 10 基因特征。放射表型使用先前确定的临界点来确定,其中 RSI≥0.375 表示放射抵抗(RR),RSI<0.375 表示放射敏感。
共鉴定出 204 例患者,其中 83 例(41%)接受辅助 RT 治疗。中位随访时间为 38.5 个月。所有患者均接受了子宫切除术和双侧输卵管卵巢切除术,大多数患者还接受了淋巴结清扫术(n = 181;88%)。在接受放疗的患者中,RR 肿瘤更有可能发生 PF(3 年盆腔控制率为 84%比 100%;P =.02),且无 PF 无复发生存率(PFFS)更差(3 年 PFFS 为 65%比 89%;P =.04)。此外,在未接受 RT 的患者中,RR/放射敏感肿瘤在 PF(P =.87)或 PFFS(P =.57)方面没有差异。多变量分析表明,预测 PF 的因素包括 RR 表型(风险比 [HR],12.2;P =.003)、淋巴结受累(HR,4.4;P =.02)和浆膜或附件受累(HR,5.3;P =.01)。
多变量分析发现,RSI 是接受辅助 RT 治疗的患者 PF 的重要预测指标。我们建议使用 RSI 预测哪些患者发生盆部失败的风险更高,并且可能是辅助治疗中需要增加治疗强度的候选者。