ArticleInternational journal of colorectal disease2021
Risk and prognostic nomograms for colorectal neuroendocrine neoplasm with liver metastasis: a population-based study.
Article in International journal of colorectal disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 16 citations in OpenAlex.
- Construction of a prognostic model for colorectal cancer liver metastasis: A retrospective study based on population data.World journal of gastrointestinal oncology · 2025Article
- Automated machine learning predicts liver metastases in patients with early-onset gastroenteropancreatic neuroendocrine tumors.Journal of gastrointestinal oncology · 2025Article
- Explainable machine learning for predicting lung metastasis of colorectal cancer.Scientific reports · 2025Article
- Risk factors, prognostic factors and nomograms for distant metastasis in colorectal neuroendocrine neoplasms: a SEER-based study.Translational cancer research · 2025Article
- Article
- Clinical and pathological characteristics of and predictive model for colorectal neuroendocrine tumors.Heliyon · 2024Article
- Article
- Analysis of the Genetic Characteristics and Metastatic Pathways of G1 and G2 Colorectal Neuroendocrine Neoplasms.Journal of the Endocrine Society · 2024Article
- Risk prediction of second primary malignancies in primary colorectal neuroendocrine neoplasms patients: a population-based study.Journal of endocrinological investigation · 2023Article
- Second primary colorectal cancer in adults: a SEER analysis of incidence and outcomes.BMC gastroenterology · 2023Article
- Development of novel prediction models for nodal and distant metastasis in G1 and G2 colorectal neuroendocrine tumors.International journal of colorectal disease · 2023Article
- Predicting metachronous liver metastasis in patients with colorectal cancer: development and assessment of a new nomogram.World journal of surgical oncology · 2022Article
- Tumor Differentiation is the Dominant Prognostic Factor for Patients with Colorectal Neuroendocrine Neoplasms with Distant Metastasis.International journal of endocrinology · 2022Article
- Risk Factors, Prognostic Factors, and Nomograms for Bone Metastasis in Patients with Newly Diagnosed Clear Cell Renal Cell Carcinoma: A Large Population-Based Study.Frontiers in surgery · 2022Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
purposeLiver metastasis (LM) significantly shortens the survival time of colorectal neuroendocrine neoplasms (NENs) patients. This research aimed to explore risk and prognostic factors in colorectal NENs patients with LM and develop nomograms for predicting the risk of LM and survival probability quantitatively.
methodsA total of 9926 colorectal NENs patients registered in the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2017 were included. Risk factors for LM in colorectal NENs patients were identified by multivariate logistic regression analysis. Potential prognostic factors for colorectal NENs patients with LM were identified by multivariable Cox regression analysis. Nomograms were constructed for quantifying the probability of LM occurrence and survival.
resultsAt diagnosis, 8.7% of colorectal NENs patients suffered LM, with 1-, 3-, and 5-year cancer-specific survival (CSS) rates of 44.3%, 26.5%, and 18.0%, respectively. Factors associated with LM occurrence included gender, age at diagnosis, primary tumor location, carcinoembryonic antigen (CEA), histological differentiation, T stage, and N stage. Age at diagnosis, race, histological differentiation, N stage, tumor size, primary tumor location, primary site surgery, and extraliver metastasis were prognostic factors of cancer-specific mortality. The area under the receiver operating characteristics (ROC) curve of the nomogram for predicting LM was 0.888 (95% CI: 0.877-0.898), and the C-index of the nomogram for estimating CSS probability was 0.705 (95% CI: 0.682-0.729).
conclusionsThis research identified the risk and prognostic factors in colorectal NENs patients with LM. The nomograms constructed by this study can be convenient tools for facilitating clinical decision-making.
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