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Published on: September 27, 2024
Incidence Patterns and Prognostic Impact of Lung-Involving Multiple Primary Cancers: A 10-Year Hospital-Based Cohort
Hayoung Kim1,2, Jin-Hee Kwon1, Heyjin Kim1,3
1Medical Science Demonstration Center, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, Republic of Korea.
Background:
Multiple primary cancers (MPCs) are increasingly recognized among lung cancer survivors; however, incidence patterns and prognostic impact of lung-involving MPCs (MPC-LC) remain incompletely characterized, particularly given substantial competing mortality. This study aimed to quantify MPC-LC burden and patterns, identify predictors of incident MPC following lung cancer diagnosis, and evaluate factors associated with overall survival.
Methods:
Patients diagnosed with lung cancer between 2013 and 2022 at Korea Cancer Center Hospital were retrospectively analyzed. MPCs were ascertained using Surveillance, Epidemiology, and End Results multiple-primary rules and classified by synchronicity and sequence. Incident metachronous MPCs (mMPC) following lung cancer diagnosis were evaluated using landmark Fine-Gray models, with death as a competing event. OS was assessed using multivariate time-varying Cox models with landmark and lag-time sensitivity analyses.
Results:
MPC-LC was detected in 317 of 3195 patients (9.9%; 99 synchronous, 218 metachronous). The 3- and 5-year cumulative incidence of mMPC was 7.3% and 9.6%, respectively, whereas competing mortality was 56.2% and 77.0%. Although unadjusted Kaplan-Meier estimates suggested longer crude survival in patients with MPC-LC, time-aware analyses demonstrated an association between MPC-LC and increased mortality, persisting across inverse probability of treatment weighting and sensitivity analyses. Advanced or unknown stage and neuroendocrine carcinoma histology were adverse prognostic factors.
Conclusions:
MPC-LC occurs amid substantial competing mortality, and its prognostic impact is best understood using bias- and time-aware analytical approaches. These findings support stage- and histology-informed surveillance and coordinated multidisciplinary care in thoracic oncology.
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