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Qing Chen

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    P50 - Small Cell Lung Cancer/NET - Real World Outcomes (ID 232)

    • Event: WCLC 2020
    • Type: Posters
    • Track: Small Cell Lung Cancer/NET
    • Presentations: 1
    • Moderators:
    • Coordinates: 1/28/2021, 00:00 - 00:00, ePoster Hall
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      P50.08 - Prevalence, Risk Factors, and Prognostic Factors of Small Cell Lung Cancer With Bone Metastasis: A SEER-Based Analysis (ID 1608)

      00:00 - 00:00  |  Presenting Author(s): Qing Chen

      • Abstract
      • Slides


      Bone is a frequent site of metastasis from small cell lung cancer (SCLC). Once bone metastases (BM) develop, the prognosis remains poor. The present study aimed to explore the incidence, survival, risk factors, and prognostic factors of BM patients in SCLC, and construct a novel model for predicting overall survival (OS).


      We collected data from the Surveillance, Epidemiology, and End Results (SEER) database for SCLC patients with or without BM between 2010 and 2016. Logistic regression analysis was conducted to investigate risk factors for BM occurrence. Kaplan‐Meier survival curves were plotted with log‐rank tests to compare overall survival (OS) of SCLC patients with BM. Univariate and multivariate Cox proportional hazards regression models were used to evaluate the effects of prognostic factors on survival outcomes in terms of OS. By integrating these variables, a nomogram was established to predict prognosis.


      A total of 4201 patients were included, and the incidence of BM in SCLC was 18.57%. Gender, tumor size, T stage, N stage, brain metastasis, liver metastasis, surgery and chemotherapy were associated with occurrence of BM in SCLC patients. Male, 5≤tumor size<10, brain metastasis, liver metastasis and chemotherapy had a higher risk of developing BM. Age, gender, tumor size, N stage, liver metastasis and chemotherapy could predict survival outcome of BM in SCLC patients. Male, liver metastasis should be considered for prediction of poor prognosis for patients with SCLC BM.


      Small cell lung cancer presented distinct prevalence, risk factors and prognostic factors for BM in SCLC patients. A predictive nomogram was constructed to assess prognosis in SCLC patients with BM. This study highlighted the need for diverse treatment strategies for SCLC patients with BM.

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