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

被引:0
作者
Zheng, Yue [1 ,2 ]
Zhao, Ailin [3 ]
Yang, Yuqi [4 ]
Wang, Laduona [1 ,2 ]
Hu, Yifei [4 ]
Luo, Ren [1 ,2 ]
Wu, Yijun [1 ,2 ]
机构
[1] Sichuan Univ, West China Hosp, Canc Ctr, Div Thorac Tumor Multimodal Treatment, Guoxue Lane 37, Chengdu 610041, Peoples R China
[2] Sichuan Univ, West China Hosp, Lab Clin Cell Therapy, Chengdu, Peoples R China
[3] Sichuan Univ, West China Hosp, Dept Hematol, Chengdu, Peoples R China
[4] Sichuan Univ, West China Sch Med, Chengdu, Peoples R China
来源
JMIR CANCER | 2024年 / 10卷
关键词
metachronous second primary lung cancer; radiotherapy; surgical resection; propensity score matching analysis; machine learning; SURGICAL-TREATMENT; SUBLOBAR RESECTION; MANAGEMENT; LOBECTOMY;
D O I
10.2196/53354
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页数:20
相关论文
共 50 条
  • [21] Lobar or sublobar resection for early-stage second primary lung cancer ≤ 3 cm in size: a SEER population-based study
    Zhao, Ke
    Xia, Chunqiu
    Qiu, Minghan
    Yang, Zhen
    Cui, Tingkai
    Song, Teng
    Li, Shuping
    Mei, Hanwei
    Zheng, Yang
    Wang, Huaqing
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (18) : 16679 - 16690
  • [22] Palliative beam radiotherapy offered real-world survival benefit to metastatic rectal cancer:A large US population-based and propensity score-matched study
    Liu, Qi
    Shan, Zezhi
    Luo, Dakui
    Cai, Sanjun
    Li, Qingguo
    Li, Xinxiang
    JOURNAL OF CANCER, 2019, 10 (05): : 1216 - 1225
  • [23] Clinical outcomes and synergistic effect between radiotherapy and immunotherapy in patients with extensive-stage small cell lung cancer: a real-world study
    Sun, Meiling
    Ji, Huaijun
    Deng, Fang
    Li, Jingyi
    Xu, Ning
    Li, Yu
    BMC CANCER, 2024, 24 (01)
  • [24] A population-based study using nomograms to predict overall and cancer-specific survival in HPV-associated CSCC
    Zheng, Suzheng
    He, Yong
    Chen, Yanan
    Chen, Ming
    Xian, Hua
    Ming, Wai-kit
    Jiang, Yuzhen
    Shan, Wong Hoi
    Hang, Tie
    Tan, Xiaoqi
    Lyu, Jun
    Deng, Liehua
    CANCER SCIENCE, 2025, 116 (02) : 470 - 487
  • [25] Applying machine learning techniques to predict the risk of lung metastases from rectal cancer: a real-world retrospective study
    Qiu, Binxu
    Shen, Zixiong
    Yang, Dongliang
    Wang, Quan
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [26] The role of lymph node status in cancer-specific survival and decision-making of postoperative radiotherapy in poorly differentiated thyroid cancer: a population-based study
    Zhang, Maojie
    Lei, Siyi
    Chen, Yuanyi
    Wu, Yuzhou
    Ye, Hui
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2021, 13 (01): : 383 - U114
  • [27] Machine learning-based overall and cancer-specific survival prediction of M0 penile squamous cell carcinoma:A population-based retrospective study
    Chen, Di
    Liang, Shengsheng
    Chen, Jinji
    Li, Kezhen
    Mi, Hua
    HELIYON, 2024, 10 (01)
  • [28] Surgery or radiotherapy improves survival in elderly patients with early non-small cell lung cancer: A population-based analysis
    Shi, Pingfan
    Li, Ziye
    Zhang, Yanfei
    Shen, Changxing
    Xia, Qing
    Cao, Chuanwu
    Li, Ming
    Fan, Lihong
    JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2024, 20 (04) : 1251 - 1257
  • [29] Federated Learning Survival Model and Potential Radiotherapy Decision Support Impact Assessment for Non-small Cell Lung Cancer Using Real-World Data
    Field, M.
    Vinod, S.
    Delaney, G. P.
    Aherne, N.
    Bailey, M.
    Carolan, M.
    Dekker, A.
    Greenham, S.
    Hau, E.
    Lehmann, J.
    Ludbrook, J.
    Miller, A.
    Rezo, A.
    Selvaraj, J.
    Sykes, J.
    Thwaites, D.
    Holloway, L.
    CLINICAL ONCOLOGY, 2024, 36 (07) : e197 - e208
  • [30] Conditional Survival of Patients with Limited-Stage Small Cell Lung Cancer After Surgery: A National Real-World Cohort Study
    Lin, Jun-Peng
    Chen, Xiao-Feng
    Wang, Peiyuan
    He, Hao
    Chen, Wei-Jie
    Zhuang, Feng-Nian
    Zhou, Hang
    Chen, Yu-Jie
    Wei, Wen-Wei
    Liu, Shuo-Yan
    Wang, Feng
    ANNALS OF SURGICAL ONCOLOGY, 2024, 31 (07) : 4250 - 4260