ArticleWorld journal of clinical cases2022
Clinical characteristics and prognosis of non-small cell lung cancer patients with liver metastasis: A population-based study.
Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Metastatic organ distribution characteristics and prognosis in patients with non-small cell lung cancer.Frontiers in medicine · 2026Article
- Utility of circulating tumor DNA in secondary liver malignancies: What we know and what is to come.Journal of surgical oncology · 2025Review
- Microwave Ablation of Refractory Oligometastatic Non-Small Cell Lung Cancer in the Liver.Journal of vascular and interventional radiology : JVIR · 2025Article
- Article
- Molecular features of NSCLC patients with liver metastasis.Therapeutic advances in medical oncology · 2024Article
- Article
- Construction and validation of a novel prognostic nomogram for predicting overall survival in lung adenocarcinoma patients with different patterns of metastasis.Journal of cancer research and clinical oncology · 2023Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe presence of liver metastasis (LM) is an independent prognostic factor for shorter survival in non-small cell lung cancer (NSCLC) patients. The median overall survival of patients with involvement of the liver is less than 5 mo. At present, identifying prognostic factors and constructing survival prediction nomogram for NSCLC patients with LM (NSCLC-LM) are highly desirable.
aimTo build a forecasting model to predict the survival time of NSCLC-LM patients.
methodsData on NSCLC-LM patients were collected from the Surveillance, Epidemiology, and End Results database between 2010 and 2018. Joinpoint analysis was used to estimate the incidence trend of NSCLC-LM. Kaplan-Meier curves were constructed to assess survival time. Cox regression was applied to select the independent prognostic predictors of cancer-specific survival (CSS). A nomogram was established and its prognostic performance was evaluated.
resultsThe age-adjusted incidence of NSCLC-LM increased from 22.7 per 1000000 in 2010 to 25.2 in 2013, and then declined to 22.1 in 2018. According to the multivariable Cox regression analysis of the training set, age, marital status, sex, race, histological type, T stage, metastatic pattern, and whether the patient received chemotherapy or not were identified as independent prognostic factors for CSS (
conclusionWe designed a nomogram model and further constructed a novel risk classification system based on easily accessible clinical factors which demonstrated excellent performance to predict the individual CSS of NSCLC-LM patients.
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