Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Cancer

Date Submitted: Oct 4, 2023
Date Accepted: May 8, 2024

The final, peer-reviewed published version of this preprint can be found here:

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

Zheng Y, Wang L, Yang Y, Hu Y, Luo R, Wu Y

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

JMIR Cancer 2024;10:e53354

DOI: 10.2196/53354

PMID: 38865182

PMCID: 11208834

Real-world Survival Comparisons between Radiotherapy and Surgery for Metachro-nous Second Primary Lung Cancer and its Lung Cancer-specific Outcome Predictions by Machine Learning: Population-Based Study

  • Yue Zheng; 
  • Laduona Wang; 
  • Yuqi Yang; 
  • Yifei Hu; 
  • Ren Luo; 
  • Yijun Wu

ABSTRACT

Background:

Metachronous second primary lung cancer (MSPLC) occurs not very rarely 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 patients with MSPLC from the Surveillance, Epidemiology, and End Results database between 1988 and 2012. Propensity score matching (PSM) analyses and machine learning were performed between patients with MSPLC. Survival curves were plotted using Kaplan-Meier method and were compared by log-rank test.

Results:

A total of 2451 MSPLC patients were categorized into treatment groups: 864 (35.3%) re-ceived radiotherapy, 759 (31.0%) underwent surgery, 89 (3.6%) had surgery plus radio-therapy, and 739 (30.2%) had neither treatment. After propensity score matching (PSM), 470 pairs each for radiotherapy and surgery were generated. The surgery group exhibited 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 (XGB, RFC, ADB) demonstrated high predictive per-formance with AUC values. LASSO regression identified nine significant variables impacting Cancer-Specific Survival, emphasizing surgery’s consistent influence across 1 to 10 years. These variables encompassed age at diagnosis, sex, year of diagnosis, radiotherapy of IPLC, primary site, histology, surgery, chemotherapy, and radiotherapy of MPSLC. Com-peting-risk analysis highlighted lower mortality in female MPSLC patients (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 initial lung cancer 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 surgical approaches (HR = 0.26, 95% CI: 0.21-0.31). The findings provide valuable insights into the factors that influence cumulative can-cer-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 choice in the treatment of MSPLC.


 Citation

Please cite as:

Zheng Y, Wang L, Yang Y, Hu Y, Luo R, Wu Y

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

JMIR Cancer 2024;10:e53354

DOI: 10.2196/53354

PMID: 38865182

PMCID: 11208834

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.