Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China.
J Cancer Res Clin Oncol. 2023 Sep;149(12):9747-9756. doi: 10.1007/s00432-023-04880-2. Epub 2023 May 28.
To evaluate cancer-specific survival (CSS) and construct a nomogram to predict the CSS of patients with colorectal signet ring cell carcinoma (SRCC).
The data for patients with colorectal SRCC from 2000 to 2019 was identified from Surveillance, Epidemiology, and End Results (SEER) database. Propensity Score Matching (PSM) was used to minimize bias between SRCC and adenocarcinoma patients. Kaplan-Meier method and log-rank test were used to estimate the CSS. A nomogram was constructed based on the independent prognostic factors identified by univariate and multivariate Cox proportional hazards regression analyses. The model was evaluated by receiver operating characteristic (ROC) curves and calibration plots.
Poor CSS was more common in patients with colorectal SRCC, especially in patients with T4/N2 stage, tumor size > 80 mm, grade III-IV, and chemotherapy. Age, T/N stage, and tumor size > 80 mm were identified as independent prognostic indicators. And a prognostic nomogram was constructed and validated as an accurate model for the CSS of patients with colorectal SRCC by ROC curves and calibration plots.
Patients with colorectal SRCC have a poor prognosis. And the nomogram was expected to be effective in predicting the survival of patients with colorectal SRCC.
评估结直肠印戒细胞癌（SRCC）患者的癌症特异性生存（CSS）并构建预测 CSS 的列线图。
从监测、流行病学和最终结果（SEER）数据库中确定了 2000 年至 2019 年期间患有结直肠 SRCC 的患者的数据。采用倾向评分匹配（PSM）来最小化 SRCC 与腺癌患者之间的偏倚。Kaplan-Meier 方法和对数秩检验用于估计 CSS。基于单因素和多因素 Cox 比例风险回归分析确定的独立预后因素构建列线图。通过接收者操作特征（ROC）曲线和校准图评估模型。
结直肠 SRCC 患者的 CSS 较差，尤其是 T4/N2 期、肿瘤大小>80mm、分级 III-IV 和化疗的患者。年龄、T/N 分期和肿瘤大小>80mm 被确定为独立的预后指标。构建并验证了列线图，作为预测结直肠 SRCC 患者 CSS 的准确模型，ROC 曲线和校准图显示其具有良好的区分度和校准度。
结直肠 SRCC 患者预后较差。该列线图有望有效预测结直肠 SRCC 患者的生存情况。
