Wadhwa Roopma, Wang Xuemei, Baladandayuthapani Veerabhadran, Liu Bin, Shiozaki Hironori, Shimodaira Yusuke, Lin Quan, Elimova Elena, Hofstetter Wayne L, Swisher Stephen G, Rice David C, Maru Dipen M, Kalhor Neda, Bhutani Manoop S, Weston Brian, Lee Jeffrey H, Skinner Heath D, Scott Ailing W, Kaya Dilsa Mizrak, Harada Kazuto, Berry Donald, Song Shumei, Ajani Jaffer A
Department of Gastrointestinal Medical Oncology, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA.
Department of Biostatistics, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77030, USA.
Br J Cancer. 2017 Aug 22;117(5):648-655. doi: 10.1038/bjc.2017.225. Epub 2017 Jul 20.
Predictive biomarkers or signature(s) for oesophageal cancer (OC) patients undergoing preoperative therapy could help administration of effective therapy, avoidance of ineffective ones, and establishment new strategies. Since the hedgehog pathway is often upregulated in OC, we examined its transcriptional factor, Gli-1, which confers therapy resistance, we wanted to assess Gli-1 as a predictive biomarker for chemoradiation response and validate it.
Untreated OC tissues from patients who underwent chemoradiation and surgery were assessed for nuclear Gli-1 by immunohistochemistry and labelling indices (LIs) were correlated with pathologic complete response (pathCR) or <pathCR (resistance) and validated in a unique cohort.
Initial 60 patients formed the discovery set (TDS) and then unique 167 patients formed the validation set (TVS). 16 (27%) patients in TDS and 40 (24%) patients in TVS achieved a pathCR. Nuclear Gli-1 LIs were highly associated with pathCR based on the fitted logistic regression models (P<0.0001) in TDS and TVS. The areas under the curve (AUCs) for receiver-operating characteristics (ROCs) based on a fitted model were 0.813 (fivefold cross validation (0.813) and bootstrap resampling (0.816) for TDS and 0.902 (fivefold cross validation (0.901) and bootstrap resampling (0.902)) for TVS. Our preclinical (including genetic knockdown) studies with FU or radiation resistant cell lines demonstrated that Gli-1 indeed mediates therapy resistance in OC.
Our validated data in OC show that nuclear Gli-1 LIs are predictive of pathCR after chemoradiation with desirable sensitivity and specificity.
对于接受术前治疗的食管癌(OC)患者,预测性生物标志物或特征有助于实施有效治疗、避免无效治疗并制定新策略。由于刺猬信号通路在OC中常被上调,我们检测了其转录因子Gli-1,它赋予治疗抗性,我们想评估Gli-1作为放化疗反应的预测性生物标志物并进行验证。
对接受放化疗和手术的患者的未经治疗的OC组织进行免疫组织化学检测核Gli-1,并将标记指数(LIs)与病理完全缓解(pathCR)或<pathCR(抗性)相关联,并在一个独特的队列中进行验证。
最初的60名患者组成发现集(TDS),然后独特的167名患者组成验证集(TVS)。TDS中有16名(27%)患者和TVS中有40名(24%)患者达到pathCR。基于拟合的逻辑回归模型,核Gli-1 LIs与TDS和TVS中的pathCR高度相关(P<0.0001)。基于拟合模型的受试者操作特征(ROC)曲线下面积(AUCs),TDS为0.813(五重交叉验证(0.813)和自助重采样(0.816)),TVS为0.902(五重交叉验证(0.901)和自助重采样(0.902))。我们对氟尿嘧啶或放射抗性细胞系的临床前(包括基因敲低)研究表明,Gli-1确实介导了OC中的治疗抗性。
我们在OC中的验证数据表明,核Gli-1 LIs对放化疗后的pathCR具有预测性,具有理想的敏感性和特异性。