ArticleBMC cancer2021
Synchronous bone metastasis in lung cancer: retrospective study of a single center of 15,716 patients from Tianjin, China.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Worldwide research trends on bone metastases of lung cancer: a bibliometric analysis.Frontiers in oncology · 2024Pooled it
- An interpretable radiomics-deep learning nomogram from whole-body bone scintigraphy for MDP-avid bone metastasis prediction in NSCLC.Journal of applied clinical medical physics · 2026Article
- BoneCoT: multicentre validation of a whole-body skeleton foundation model for bone metastases guided by clinician-derived chain of thought.Nature biomedical engineering · 2026Article
- Autoantibodies combined with systemic inflammation markers for predicting bone metastases in non-small cell lung cancer patients.Frontiers in immunology · 2026Article
- Clinical value of serum osteocalcin (N-MID) combined with thyroid transcription factor-1 for predicting bone metastasis of lung cancer.American journal of cancer research · 2026Article
- Development and validation of prognostic models for bone metastasis in Non-Small cell lung cancer based on Machine learning algorithms.Journal of bone oncology · 2025Article
- Platelet/Neutrophil Count Ratio (PNR) and Fibrinogen/Lymphocyte Count Ratio (FLR) Can Be Used as Predictive Indicators of Bone Metastasis in Non-Smoking Patients with Lung Cancer, but Not in Smoking Patients.International journal of general medicine · 2025Article
- Bone metastasis prediction in non-small-cell lung cancer: primary CT-based radiomics signature and clinical feature.BMC medical imaging · 2024Article
- What enlightenment has the development of lung cancer bone metastasis brought in the last 22 years.World journal of clinical oncology · 2024Article
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- Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients.Frontiers in public health · 2022Article
- Construction and Verification of Nomogram Model for Lung Adenocarcinoma With ≤ 5 Bone-Only Metastases Basing on Hematology Markers.Frontiers in oncology · 2022Article
- Case report: A balance of survival and quality of life in long-term survival case of lung adenocarcinoma with synchronous bone metastasis.Frontiers in oncology · 2022Article
- Diagnostic and prognostic nomograms for bone metastasis in small cell lung cancer.The Journal of international medical research · 2021Article
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12 authors.
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Abstract
backgroundThis study aimed to describe the incidence, clinical characteristics, and prognosis of lung cancer patients with synchronous bone metastasis (SBM) and to analyze the prognostic factors of the lung cancer patients with SBM.
methodsA total of 15,716 lung cancer patients who were diagnosed between 2009 to 2018 in the Tianjin Medical University Cancer Institute and Hospital were retrospectively reviewed. Among them, patients with SBM were checked. Both the demographic and clinical characteristics were included as follows: age, gender, marital status, history of smoking, alcohol consumption, family history of tumor, Karnofsky score, lymph node metastasis, histological type. Besides, laboratory data such as alkaline phosphatase, lactate dehydrogenase, carcinoembryonic antigen, squamous cell carcinoma antigen, cytokeratin-19 fragment, and neuron specific enolase were also included. The log-rank test and multivariate Cox regression analysis were employed to reveal the potential prognostic predictors. A further analysis using the Kaplan-Meier was employed to demonstrate the difference on the prognosis of LC patients between adenocarcinoma and non-adenocarcinoma.
resultsAmong the included patients, 2738 patients (17.42%) were diagnosed with SBM. A total of 938 patients (34.3%) with SBM were successfully followed and the median survival was 11.53 months (95%CI: 10.57-12.49 months), and the 1-, 2-, and 5-year overall survival rate was 51, 17, and 8%, respectively. Multivariable Cox regression results showed history of smoking and high level of NSE were associated with the poor prognosis, while adenocarcinoma histological type was associated with better survival.
conclusionThe prevalence of SBM in lung cancer is relatively high with poor survival. The lung cancer patients with SBM showed diverse prognosis. Among all the pathological types, the division of adenocarcinoma suggested different prognosis of the lung cancer patients with SBM. The present study emphasized the importance of pathological diagnosis on prognostic determinants in lung cancer patients with SBM.
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