Department of Urology, the First Affiliated Hospital of Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, China.
BMC Cancer. 2021 Jan 19;21(1):79. doi: 10.1186/s12885-021-07795-8.
Clear cell renal cell carcinoma (ccRCC) is one of the most frequent malignancies; however, the present prognostic factors was deficient. This study aims to explore whether there is a relationship between tumor volume (TV) and oncological outcomes for localized ccRCC.
Seven hundred forty-nine localized ccRCC patients underwent surgery in our hospital. TV was outlined and calculated using a three-dimensional conformal radiotherapy planning system. We used receiver operating characteristic (ROC) curves to identified optimal cut-off value. Univariable and multivariable Cox regression models were performed to explore the association between TV and oncological outcomes. Kaplan-Meier method and log-rank test were used to estimate survival probabilities and determine the significance, respectively. Time-dependent ROC curve was utilized to assess the prognostic effect.
Log rank test showed that higher Fuhrman grade, advanced pT classification and higher TV were associated with shortened OS, cancer-specific survival (CSS), freedom from metastasis (FFM) and freedom from local recurrence (FFLR). multivariable analysis showed higher Fuhrman grade and higher TV were predictors of adverse OS and CSS. The AUC of TV for FFLR was 0.822. The AUC of TV (0.864) for FFM was higher than that of pT classification (0.818) and Fuhrman grade (0.803). For OS and CSS, the AUC of TV was higher than that of Fuhrman grade (0.832 vs. 0.799; 0.829 vs 0.790).
High TV was an independent predictor of poor CSS, OS, FFLR and FFM of localized ccRCC. Compared with pT classification and Fuhrman grade, TV could be a new and better prognostic factor of oncological outcome of localized ccRCC, which might contribute to tailored follow-up or management strategies.
透明细胞肾细胞癌(ccRCC)是最常见的恶性肿瘤之一;然而,目前的预后因素不足。本研究旨在探讨局部 ccRCC 的肿瘤体积(TV)与肿瘤学结果之间是否存在关系。
我院 749 例局部 ccRCC 患者接受手术治疗。使用三维适形放疗计划系统勾画并计算 TV。我们使用接收者操作特征(ROC)曲线来确定最佳截断值。采用单变量和多变量 Cox 回归模型探讨 TV 与肿瘤学结果之间的关系。Kaplan-Meier 法和对数秩检验分别用于估计生存概率和确定显著性。时间依赖性 ROC 曲线用于评估预后效果。
Log rank 检验显示,较高的 Fuhrman 分级、较高的 pT 分期和较高的 TV 与 OS、癌症特异性生存(CSS)、无转移(FFM)和无局部复发(FFLR)缩短相关。多变量分析显示,较高的 Fuhrman 分级和较高的 TV 是 OS 和 CSS 不良的预测因子。TV 预测 FFLR 的 AUC 为 0.822。TV(0.864)预测 FFM 的 AUC 高于 pT 分期(0.818)和 Fuhrman 分级(0.803)。对于 OS 和 CSS,TV 的 AUC 高于 Fuhrman 分级(0.832 比 0.799;0.829 比 0.790)。
高 TV 是局部 ccRCC CSS、OS、FFLR 和 FFM 不良的独立预测因子。与 pT 分期和 Fuhrman 分级相比,TV 可能是局部 ccRCC 肿瘤学结果的一个新的、更好的预后因素,可能有助于制定个体化的随访或管理策略。