The First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei, China.
School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China.
Math Biosci Eng. 2024 Feb 27;21(3):4463-4484. doi: 10.3934/mbe.2024197.
This study evaluates the impact of different combinations of treatment regimens, such as additional radiation, chemotherapy, and surgical treatments, on the survival of elderly rectal cancer patients ≥ 70 years of age to support physicians' clinical decision-making.
Data from a sample of elderly rectal cancer patients aged ≥ 70 years diagnosed from 2005-2015 from the US surveillance, epidemiology, and end results (SEER) database were retrospectively analyzed. The best cut-off point was selected using the x-tile software for the three continuity indices: age, tumor size, and number of regional lymph nodes. All patients were categorized into either the neoadjuvant radiotherapy and surgery group (R_S group), the surgical treatment group (S group), or the surgery and adjuvant radiotherapy group (S_R group). The propensity score allocation was used to match each included study subject in a 1:1 ratio, and the restricted mean survival time method (RMST) was used to predict the mean survival of rectal cancer patients within 5 and 10 years. The prognostic risk factors for rectal cancer patients were determined using univariate and multivariate Cox regression analyses, and nomograms were constructed. A subgroup stratification analysis of patients with different treatment combination regimens was performed using the Kaplan-Meier method, and log-rank tests were used for between-group comparisons. The model's predictive accuracy was assessed by receiver operating characteristic (ROC) curves, correction curves, and a clinical decision curve analysis (DCA).
A total of 7556 cases of sample data from 2005 to 2015 were included, which were categorized into 6639 patients (87.86%) in the S group, 408 patients (5.4%) in the R_S group, and 509 patients (6.74%) in the S_R group, according to the relevant order of radiotherapy and surgery. After propensity score matching (PSM), the primary clinical characteristics of the groups were balanced and comparable. The difference in the mean survival time before and after PSM was not statistically significant in both R_S and S groups (P value > 0.05), and the difference in the mean survival time after PSM was statistically substantial in S_R and S groups (P value < 0.05). In the multifactorial Cox analysis, the M1 stage and Nodes ≥ 9 were independent risk factors. An age between 70-75 was an independent protective factor for patients with rectal cancer in the R_S and S groups. The Marital_status, T4 stage, N2 stage, M1 stage, and Nodes ≥ 9 were independent risk factors for patients with rectal cancer in the S_R and S groups, and an age between 70-81 was an independent protective factor. The ROC curve area, the model C index, and the survival calibration curve suggested good agreement between the actual and predicted values of the model. The DCA for 3-year, 5-year, and 10-year survival periods indicated that the model had some potential for application.
The results of the study showed no significant difference in the overall survival (OS) between elderly patients who received neoadjuvant radiotherapy and surgery and those who received surgery alone; elderly patients who received surgery and adjuvant radiotherapy had some survival benefits compared with those who received surgery alone, though the benefit of adjuvant radiotherapy was not significant. Therefore, radiotherapy for rectal cancer patients older than 70 years old should be based on individual differences in condition, and a precise treatment plan should be developed.
本研究评估了不同治疗方案组合(如额外的放疗、化疗和手术治疗)对 70 岁及以上老年直肠癌患者生存的影响,为医生的临床决策提供支持。
回顾性分析了来自美国监测、流行病学和最终结果(SEER)数据库的 2005-2015 年期间年龄≥70 岁的老年直肠癌患者的样本数据。使用 x-tile 软件为三个连续性指标(年龄、肿瘤大小和区域淋巴结数量)选择最佳截断点。所有患者分为新辅助放疗和手术组(R_S 组)、手术治疗组(S 组)或手术和辅助放疗组(S_R 组)。采用倾向评分匹配法(1:1)对每个纳入研究的患者进行匹配,采用限制性平均生存时间法(RMST)预测直肠癌患者 5 年和 10 年的平均生存时间。采用单因素和多因素 Cox 回归分析确定直肠癌患者的预后危险因素,并构建列线图。采用 Kaplan-Meier 法对不同治疗组合方案的患者进行亚组分层分析,并采用对数秩检验进行组间比较。通过受试者工作特征(ROC)曲线、校正曲线和临床决策曲线分析(DCA)评估模型的预测准确性。
共纳入 2005 年至 2015 年的 7556 例样本数据,根据放疗和手术的相关顺序,将其分为 S 组 6639 例(87.86%)、R_S 组 408 例(5.4%)和 S_R 组 509 例(6.74%)。经倾向评分匹配(PSM)后,各组的主要临床特征平衡且可比。R_S 和 S 组在 PSM 前后的平均生存时间差异无统计学意义(P 值>0.05),而 S_R 和 S 组在 PSM 后的平均生存时间差异有统计学意义(P 值<0.05)。多因素 Cox 分析显示,M1 期和 Nodes≥9 是独立的危险因素。70-75 岁年龄是 R_S 和 S 组直肠癌患者的独立保护因素。Marital_status、T4 期、N2 期、M1 期和 Nodes≥9 是 S_R 和 S 组直肠癌患者的独立危险因素,70-81 岁年龄是独立保护因素。ROC 曲线下面积、模型 C 指数和生存校准曲线表明模型的实际值和预测值之间具有良好的一致性。3 年、5 年和 10 年生存率的 DCA 表明该模型具有一定的应用潜力。
研究结果表明,接受新辅助放疗和手术的老年患者与仅接受手术的老年患者的总体生存(OS)无显著差异;与仅接受手术的患者相比,接受手术和辅助放疗的老年患者具有一定的生存获益,尽管辅助放疗的获益并不显著。因此,对于 70 岁以上的直肠癌患者,放疗应基于个体病情差异,并制定精确的治疗计划。