ArticleThoracic cancer2022
Clinical characteristics and prognostic model for extensive-stage small cell lung cancer: A retrospective study over an 8-year period.
Article in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A novel nomogram based on DLL3 and PD-L1 for predicting the prognosis of patients with small cell lung cancer.BMC cancer · 2025Article
- Factors affecting survival and prognosis in extensive stage small cell lung cancer.BMC pulmonary medicine · 2025Article
- Article
- Development of a prognostic model for patients with extensive-stage small cell lung cancer undergoing immunotherapy and chemotherapy.Frontiers in immunology · 2025Article
- Cost-effectiveness analysis of trilaciclib for preventing myelosuppression in small cell lung cancer patients treated with etoposide, carboplatin, and atezolizumab.American journal of cancer research · 2025Article
- A nomogram to predict the cumulative risk for brain metastases in patients with limited-stage small cell lung cancer without prophylactic cranial irradiation.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Article
- Treatment patterns and clinical outcomes in 157 patients with extensive-stage small cell lung cancer: real-world evidence from a single-center retrospective study.Frontiers in oncology · 2023Article
- Corrigendum.Thoracic cancer · 2022Article
- Clinical characteristics and prognostic model for extensive-stage small cell lung cancer: A retrospective study over an 8-year period.Thoracic cancer · 2022Article
- Which Types of Patients With Extensive-Stage Small Cell Lung Cancer Benefit From Radiotherapy? A Retrospective Study Integrating Machine Learning With the SEER Database and a Chinese Cohort.Cancer control : journal of the Moffitt Cancer CenterArticle
- From Simple Scores to Intelligent Systems: Encouraging the Development, Validation and Adoption of Robust Prognostic Tools in Small Cell Lung Cancer.Technology in cancer research & treatmentReview
Corrections and comments
- Erratum issuedCorrigendum.2022
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmall cell lung cancer (SCLC) is a highly aggressive neuroendocrine tumor with a short replication time and a rapid growth rate. Prognostic factors for SCLC in clinical practice are scarce. Retrospective analysis of 8-year extensive-stage SCLC data from the Department Respiratory and Intensive Care Unit, Peking Union Medical College Hospital (Beijing, China) was performed to develop a risk prediction model that can facilitate the identification of extensive-stage SCLC with differing prognosis in clinical practice.
methodsA retrospective analysis of data from patients with extensive-stage SCLC at a single-center from January 2013 to January 2021, including age, sex, ECOG physical score, immunohistochemistry (CgA, Syn, CD56, TTF1, and Ki67), staging, treatment regimen, laboratory examinations, and survival period, was performed. Clinical variables with potential prognostic significance were screened by univariate Cox analysis. Next, multifactor Cox risk prediction regression analysis was performed to establish an extensive-stage SCLC risk prognostic model. Survival curves and ROC curves for high and low risk groups were plotted according to risk scores. Nomogram and calibration curves were developed to assess the accuracy of the risk prediction model.
resultsThis study included 300 patients who were diagnosed with extensive-stage SCLC at our center from January 2013 to January 2021. The most common first presentation was respiratory symptoms, especially cough (162, 54%). The most common extra-thoracic metastatic organs were bone (36.3%), liver (24.7%), brain (15.7%), and adrenal glands (15.7%). A total of 99% of patients received first-line systemic therapy, with 86.3% of patients treated with platinum-etoposide and 10.7% of patients treated with immune checkpoint inhibitor combined with platinum-etoposide backbone. First-line progression-free survival was up to 198 days, and the median OS was 439 days. After Cox regression screening and backward stepwise selection, "time from initial therapy to relapse or progression (PFS1), liver metastases, adrenal metastases, M stage and first-line treatment pattern" were retained to establish a prognostic model with an AUC value of 0.763. The prognostic model was shown as a nomogram with good agreement between predicted and observed outcomes.
conclusionsThe first-line treatment of SCLC patients admitted to our hospital in the past 8 years was relatively standardized, and the progression-free survival and OS were slightly longer than those reported in the literature. We developed a prognostic risk score model for extensive-stage SCLC to calculate individual survival in clinical practice.
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