ArticleFrontiers in oncology2021
Hepatic Metastasis in Newly Diagnosed Esophageal Cancer: A Population-Based Study.
Article in Frontiers in oncology, 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, 15 citations in OpenAlex.
- Outcomes and Prognostic Factors of Patients with Unresectable or Metastatic Esophageal Squamous Cell Carcinoma Undergoing Immunotherapy- Versus Chemotherapy-Based Regimens: Systematic Review and Pooled Analyses.Journal of gastrointestinal cancer · 2024Pooled it
- Artificial Intelligence (AI) and Liquid Biopsy Transforming Early Detection of Liver Metastases in Gastrointestinal Cancers.Current cancer drug targets · 2026Review
- Differences in esophageal adenocarcinoma survival and treatment modalities by III/IV stage subgroup: a SEER population-based study.Translational cancer research · 2025Article
- Role of high-resolution magnetic resonance imaging in preoperative tumor-node-metastasis staging evaluation of esophageal cancer: a narrative review.Quantitative imaging in medicine and surgery · 2024Review
- Prediction of Early Mortality in Esophageal Cancer Patients with Liver Metastasis Using Machine Learning Approaches.Life (Basel, Switzerland) · 2024Article
- Advanced esophageal cancer with bone metastases: Prognostic biomarkers and palliative treatment.Heliyon · 2024Review
- Development and validation of a prognostic model for esophageal cancer patients with liver metastasis: a cohort study based on surveillance, epidemiology, and end results database.Journal of cancer research and clinical oncology · 2023Article
- Implications of Liver-Directed Therapy for Postoperative Hepatic Metastasis from Esophageal Cancer.Journal of chest surgery · 2022Article
- Survival Prediction Model for Patients with Esophageal Squamous Cell Carcinoma Based on the Parameter-Optimized Deep Belief Network Using the Improved Archimedes Optimization Algorithm.Computational and mathematical methods in medicine · 2022Article
- Construction and Validation of a m7G-Related Gene-Based Prognostic Model for Gastric Cancer.Frontiers in oncology · 2022Article
- Predictive models for the risk and prognosis of bone metastasis in patients with newly-diagnosed esophageal cancer: A retrospective cohort study.Frontiers in surgery · 2022Article
- Prognostic Nomogram for Predicting Long-Term Overall Survival of Esophageal Cancer Patients Receiving Neoadjuvant Chemoradiotherapy Plus Surgery: A Population-Based Study.Frontiers in surgery · 2022Article
- Bone metastasis of esophageal carcinoma diagnosed as a first primary tumor: a population-based study.Translational cancer research · 2022Article
- Models for Predicting Early Death in Patients With Stage IV Esophageal Cancer: A Surveillance, Epidemiology, and End Results-Based Cohort Study.Cancer control : journal of the Moffitt Cancer CenterArticle
- Use machine learning to predict bone metastasis of esophageal cancer: A population-based study.Digital healthArticle
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe hepatic metastasis pattern of esophageal cancer (EC) has not been fully explored. The primary objective of this study was to explore the predictors of esophageal cancer with hepatic metastasis (ECHM) at the time of diagnosis. In addition, we also analyzed the factors affecting ECHM prognosis.
methodsWe used the Surveillance, Epidemiology and End Result (SEER) database to identify ECHM patients at the time of initial diagnosis. The ECHM predictors were identified using multivariate logistic regression. Multivariate Cox regression and competing survival risk analyses were performed to identify factors associated with all-cause mortality and EC-specific mortality of ECHM, respectively.
resultsA total of 10,965 eligible EC patients were identified in the SEER database between 2010 and 2016, of which 1,197 were ECHM patients, accounting for 10.9% of the entire cohort. In the whole cohort, eight ECHM predictors (age, primary site, grade, histology type, T staging, N staging, insurance status, and number of extrahepatic metastatic sites) were determined using multivariate logistic regression analysis. Multivariate Cox regression and multivariate competing survival risks models confirmed that the male sex, advanced age, squamous cancer, and multiple extrahepatic metastasis increased the risk of both all-cause and EC-specific mortality, whereas chemotherapy and chemotherapy plus radiotherapy significantly reduced the risk of both.
conclusionsThis study explored population-level predictors of hepatic metastasis at the time of EC diagnosis and analyzed the clinical characteristics affecting the prognosis in ECHM patients. These findings may provide clinicians with a reference for the screening and treatment of hepatic metastasis in EC.
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