Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510120, P. R. China.
Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510120, P. R. China.
Cancer Commun (Lond). 2020 Apr;40(4):167-180. doi: 10.1002/cac2.12017. Epub 2020 Apr 12.
The preoperative prediction of muscular invasion status is important for adequately treating bladder cancer (BC) but nevertheless, there are some existing dilemmas in the current preoperative diagnostic accuracy of BC with muscular invasion. Here, we investigated the potential association between the fluorescence in situ hybridization (FISH) assay and muscular invasion among patients with BC. A cytogenetic-clinical nomogram for the individualized preoperative differentiation of muscle-invasive BC (MIBC) from non-muscle-invasive BC (NMIBC) is also proposed.
All eligible BC patients were preoperatively tested using a FISH assay, which included 4 sites (chromosome-specific centromeric probe [CSP] 3, 7, and 17, and gene locus-specific probe [GLP]-p16 locus). The correlation between the FISH assay and BC muscular invasion was evaluated using the Chi-square tests. In the training set, univariate and multivariate logistic regression analyses were used to develop a cytogenetic-clinical nomogram for preoperative muscular invasion prediction. Then, we assessed the performance of the nomogram in the training set with respect to its discriminatory accuracy and calibration for predicting muscular invasion, and clinical usefulness, which were then validated in the validation set. Moreover, model comparison was set to evaluate the discrimination and clinical usefulness between the nomogram and the individual variables incorporated in the nomogram.
Muscular invasion was more prevalent in BC patients with positive CSP3, CSP7 and CSP17 status (OR [95% CI], 2.724 [1.555 to 4.774], P < 0.001; 3.406 [1.912 to 6.068], P < 0.001 and 2.483 [1.436 to 4.292], P = 0.001, respectively). Radiology-determined tumor size, radiology-determined clinical tumor stage and CSP7 status were identified as independent risk factors of BC muscular invasion by the multivariate regression analysis in the training set. Then, a cytogenetic-clinical nomogram incorporating these three independent risk factors was constructed and was observed to have satisfactory discrimination in the training (AUC 0.784; 95% CI: 0.715 to 0.853) and validation (AUC 0.743; 95% CI: 0.635 to 0.850) set. The decision curve analysis (DCA) indicated the clinical usefulness of our nomogram. In models comparison, using the receiver operator characteristic (ROC) analyses, the nomogram showed higher discriminatory accuracy than any variables incorporated in the nomogram alone and the DCAs also identified the nomogram as possessing the highest net benefits at wide range of threshold probabilities.
CSP7 status was identified as an independent factor for predicting muscular invasion in BC patients and was successfully incorporated in a clinical nomogram combining the results of the FISH assay with clinical risk factors.
膀胱癌(BC)术前预测肌肉侵犯状态非常重要,但目前 BC 术前诊断肌肉侵犯的准确性仍存在一些问题。本研究旨在探讨荧光原位杂交(FISH)检测与 BC 肌肉侵犯之间的潜在相关性,并提出一种用于区分肌层浸润性膀胱癌(MIBC)和非肌层浸润性膀胱癌(NMIBC)的细胞遗传学-临床列线图。
所有符合条件的 BC 患者均接受 FISH 检测,该检测包括 4 个位点(染色体特异性着丝粒探针 [CSP] 3、7 和 17 及基因座特异性探针 [GLP]-p16 基因座)。采用卡方检验评估 FISH 检测与 BC 肌肉侵犯的相关性。在训练集中,采用单变量和多变量逻辑回归分析建立用于术前肌肉侵犯预测的细胞遗传学-临床列线图。然后,我们在训练集中评估该列线图在预测肌肉侵犯方面的区分准确性和校准性能以及临床实用性,并在验证集中进行验证。此外,我们还进行了模型比较,以评估列线图与列线图中包含的个体变量在区分度和临床实用性方面的差异。
CSP3、CSP7 和 CSP17 阳性的 BC 患者中肌肉侵犯更为常见(OR [95%CI],2.724 [1.555 至 4.774],P<0.001;3.406 [1.912 至 6.068],P<0.001 和 2.483 [1.436 至 4.292],P=0.001)。多变量回归分析确定放射学确定的肿瘤大小、放射学确定的临床肿瘤分期和 CSP7 状态为训练集中 BC 肌肉侵犯的独立危险因素。然后,我们构建了一个包含这三个独立危险因素的细胞遗传学-临床列线图,并观察到该列线图在训练集(AUC 0.784;95%CI:0.715 至 0.853)和验证集(AUC 0.743;95%CI:0.635 至 0.850)中具有良好的区分度。决策曲线分析(DCA)表明了我们的列线图的临床实用性。在模型比较中,使用受试者工作特征(ROC)分析,列线图的区分度高于任何单独包含在列线图中的变量,DCA 也确定列线图在广泛的阈值概率范围内具有最高的净获益。
CSP7 状态被确定为预测 BC 患者肌肉侵犯的独立因素,并成功地将其纳入结合 FISH 检测结果和临床危险因素的临床列线图中。