利用机器学习比较异位第二原发性肺癌放疗和手术的实际生存期并预测肺癌特异性结果:基于人群的研究。

IF 3.3 Q2 ONCOLOGY
JMIR Cancer Pub Date : 2024-06-12 DOI:10.2196/53354
Yue Zheng, Ailin Zhao, Yuqi Yang, Laduona Wang, Yifei Hu, Ren Luo, Yijun Wu
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引用次数: 0

摘要

背景:间变性第二原发性肺癌(MSPLC)并不罕见,但很少被研究:我们旨在比较不同手术策略和放疗对 MSPLC 的实际生存效果:这项回顾性研究分析了监测、流行病学和最终结果(SEER)数据库中1988年至2012年间收集的MSPLC患者数据。通过倾向得分匹配(PSM)分析和机器学习,比较了MSPLC患者之间的变量。使用Kaplan-Meier方法绘制生存曲线,并使用对数秩检验进行比较:共有 2451 名 MSPLC 患者被分为以下治疗组:864 人(35.3%)接受了放疗,759 人(31%)接受了手术,89 人(3.6%)接受了手术加放疗,739 人(30.2%)未接受任何治疗。PSM 后,放疗和手术各产生了 470 对。手术组的生存率明显优于放疗组(PC结论:手术切除(如膀胱切除术)和放疗组的生存率均高于放疗组):手术切除(如楔形切除术和肺叶切除术)比放疗能提高MSPLC的生存率,但放疗也是治疗MSPLC的有效替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-World Survival Comparisons Between Radiotherapy and Surgery for Metachronous Second Primary Lung Cancer and Predictions of Lung Cancer-Specific Outcomes Using Machine Learning: Population-Based Study.

Background: Metachronous second primary lung cancer (MSPLC) is not that rare but is seldom studied.

Objective: We aim to compare real-world survival outcomes between different surgery strategies and radiotherapy for MSPLC.

Methods: This retrospective study analyzed data collected from patients with MSPLC between 1988 and 2012 in the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) analyses and machine learning were performed to compare variables between patients with MSPLC. Survival curves were plotted using the Kaplan-Meier method and were compared using log-rank tests.

Results: A total of 2451 MSPLC patients were categorized into the following treatment groups: 864 (35.3%) received radiotherapy, 759 (31%) underwent surgery, 89 (3.6%) had surgery plus radiotherapy, and 739 (30.2%) had neither treatment. After PSM, 470 pairs each for radiotherapy and surgery were generated. The surgery group had significantly better survival than the radiotherapy group (P<.001) and the untreated group (563 pairs; P<.001). Further analysis revealed that both wedge resection (85 pairs; P=.004) and lobectomy (71 pairs; P=.002) outperformed radiotherapy in overall survival for MSPLC patients. Machine learning models (extreme gradient boosting, random forest classifier, adaptive boosting) demonstrated high predictive performance based on area under the curve (AUC) values. Least absolute shrinkage and selection operator (LASSO) regression analysis identified 9 significant variables impacting cancer-specific survival, emphasizing surgery's consistent influence across 1 year to 10 years. These variables encompassed age at diagnosis, sex, year of diagnosis, radiotherapy of initial primary lung cancer (IPLC), primary site, histology, surgery, chemotherapy, and radiotherapy of MPSLC. Competing risk analysis highlighted lower mortality for female MPSLC patients (hazard ratio [HR]=0.79, 95% CI 0.71-0.87) and recent IPLC diagnoses (HR=0.79, 95% CI 0.73-0.85), while radiotherapy for IPLC increased mortality (HR=1.31, 95% CI 1.16-1.50). Surgery alone had the lowest cancer-specific mortality (HR=0.83, 95% CI 0.81-0.85), with sublevel resection having the lowest mortality rate among the surgical approaches (HR=0.26, 95% CI 0.21-0.31). The findings provide valuable insights into the factors that influence cumulative cancer-specific mortality.

Conclusions: Surgical resections such as wedge resection and lobectomy confer better survival than radiation therapy for MSPLC, but radiation can be a valid alternative for the treatment of MSPLC.

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来源期刊
JMIR Cancer
JMIR Cancer ONCOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
64
审稿时长
12 weeks
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