Qiu Wenze, Chen Wenjing, Jiang Jiali, Zheng Ronghui, Yuan Yawei, Lv Xing, Zhang Jiangyu
Department of Radiation Oncology, Guangzhou Institute of Cancer Research, The Affiliated Cancer Hospital, Guangzhou Medical University, Guangzhou, P.R. China.
Department of Pathology, First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, P.R. China.
Radiat Oncol. 2025 May 23;20(1):87. doi: 10.1186/s13014-025-02627-6.
Tumour-stroma ratio (TSR) is the proportion of tumour cells relative to surrounding stroma. This study aimed to investigate the prognostic impact of TSR, and to construct a prognostic nomogram in patients with nasopharyngeal carcinoma (NPC).
Clinico-pathological data of 206 patients treated at Guangzhou Institute of Cancer Research, the Affiliated Cancer Hospital, Guangzhou Medical University for NPC were used as the training cohort. Assessment of TSR was performed on haematoxylin and eosin-stained slides and the correlation of TSR with survival outcomes was examined. A nomogram model comprising TSR was established and the clinical performance was evaluated by concordance index (C-index), calibration curve, time-dependent area under the curve (tAUC), and decision curve analysis (DCA). External validation was performed using cohort from Sun Yat-sen University Cancer Center (n = 343).
High stroma ratio was proved to be an adverse prognostic factor for OS. A prognostic model integrating T stage, N stage and TSR for individual prediction of survival was constructed and graphically represented as a nomogram. Calibration curves indicated good agreement between the nomogram and actual observations. Moreover, the nomogram outperformed the commonly used staging systems. In addition, the nomogram could successfully classified patients into three different risk groups. The external validation cohort supported these findings.
TSR is a strong and independent prognostic factor for NPC patients. A nomogram that integrated T stage, N stage and TSR could serve as a precise and convenient model of risk stratification in predicting the prognosis of patients with NPC.
肿瘤间质比(TSR)是肿瘤细胞相对于周围间质的比例。本研究旨在探讨TSR的预后影响,并构建鼻咽癌(NPC)患者的预后列线图。
将广州医科大学附属肿瘤医院广州癌症研究所治疗的206例NPC患者的临床病理数据作为训练队列。在苏木精和伊红染色切片上评估TSR,并检查TSR与生存结果的相关性。建立了包含TSR的列线图模型,并通过一致性指数(C指数)、校准曲线、时间依赖性曲线下面积(tAUC)和决策曲线分析(DCA)评估其临床性能。使用中山大学肿瘤防治中心的队列(n = 343)进行外部验证。
高间质比被证明是总生存期的不良预后因素。构建了一个整合T分期、N分期和TSR用于个体生存预测的预后模型,并以列线图的形式直观呈现。校准曲线表明列线图与实际观察结果之间具有良好的一致性。此外,列线图的表现优于常用的分期系统。此外,列线图可以成功地将患者分为三个不同的风险组。外部验证队列支持了这些发现。
TSR是NPC患者强有力的独立预后因素。整合T分期、N分期和TSR的列线图可作为预测NPC患者预后的精确且便捷的风险分层模型。