ArticleCancer medicine2020
Risk factors and predictors of lymph nodes metastasis and distant metastasis in newly diagnosed T1 colorectal cancer.
Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk of lymph-node metastasis in early onset T1 colorectal cancer: a systematic review and meta-analysis.Journal of gastroenterology · 2026Pooled it
- T1 colorectal cancer: determinants of lymph node metastasis, survival patterns, and risk-adapted management.Updates in surgery · 2026Review
- Impact of the timing of additional surgery after noncurative endoscopic resection of early colorectal cancer on perioperative and oncological outcomes: a single-center retrospective cohort study.Annals of coloproctology · 2026Article
- Machine learning to predict distant metastasis risk and prognostic analysis in T1-2 esophageal cancer: a study based on the SEER database.Journal of thoracic disease · 2026Article
- Herbal Melanin Inhibits Colorectal Cancer Cell Motility, Invasiveness, and Epithelial-Mesenchymal Transition, Associated with u-PAR Downregulation Through JNK and ERK Pathways.Current issues in molecular biology · 2026Article
- Article
- Development and explanation of a machine learning model for identifying non-localized early-onset T1 colorectal cancer.Discover oncology · 2025Article
- Identification of predictors for lymph node metastasis in T2 colorectal cancer: retrospective cohort study from a high-volume hospital.BMC cancer · 2025Article
- Long-term outcomes and lymph node metastasis following endoscopic resection with additional surgery or primary surgery for T1 colorectal cancer.Scientific reports · 2025Article
- The Role of Pan-Cytokeratin In Tumor Budding Upgrading In Malignant Colorectal Polyps At Stage pT1.Cancer management and research · 2025Article
- The risk factors of lymph node metastasis in early colorectal cancer: a predictive nomogram and risk assessment.International journal of colorectal disease · 2024Article
- The Role of Tumor Location on Endoscopic and Surgical Management of Malignant Colon Polyps.Annals of surgical oncology · 2024Article
- How secure can we expect the surveillance policies to be after the implementation in T1 polyps with carcinoma?World journal of gastrointestinal endoscopy · 2024Article
- Vertical margin distance in T1 colorectal carcinoma resected by endoscopic submucosal dissection affects prognosis after additional surgery.International journal of colorectal disease · 2024Article
- Predicting lymph node metastasis in colorectal cancer patients: development and validation of a column chart model.Updates in surgery · 2024Article
- Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review).Oncology reports · 2024Review
- Predictors of early colorectal cancer metastasis to lymph nodes: providing rationale for therapy decisions.Frontiers in oncology · 2024Review
- Determinants of survival and recurrence in patients with stage I colorectal cancer.Frontiers in surgery · 2024Article
- A Retrospective Multicenter Study of Risk Factors, Stratification, and Prognosis of Lymph Node Metastasis in T1 and T2 Colorectal Cancer.Journal of clinical medicine · 2023Article
- Prediction model for lymph node metastasis in superficial colorectal cancer: a better choice than computed tomography.Surgical endoscopy · 2023Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLymph nodes metastasis (LNM) and distant metastasis (DM) are important prognostic factors in colorectal cancer (CRC) and determine the following treatment approaches. We aimed to find clinicopathological factors associated with LNM and DM, and analyze the prognosis of CRC patients with T1 stage.
methodsA total of 17 516 eligible patients with T1 CRC were retrospectively enrolled in the study based on the Surveillance, Epidemiology, and End Results (SEER) database during 2004-2016. Logistic regression analysis was performed to identify risk factors for LNM and DM. Unadjusted and adjusted Cox proportional hazard models were used to identify prognostic factors for overall survival. We performed the cumulative incidence function (CIF) to further determine the prognostic role of LNM and DM in colorectal cancer-specific death (CCSD). LNM, DM, and OS nomogram were constructed based on these models and evaluated by the C-index and calibration plots for discrimination and accuracy, respectively. The clinical utility of the nomograms was measured by decision curve analyses (DCAs) and subgroups with different risk scores.
resultsTumor grade, mucinous adenocarcinoma, and age accounted for the first three largest proportion among the LNM nomogram scores (all, P < .001), whereas N stage, carcinoembryonic antigen (CEA), and tumor size occupied the largest percentage in DM nomogram (all, P < .001). OS nomogram was formulated to visually to predict 3-, 5-, and 10- year overall survivals for patients with T1 CRC. The calibration curves showed an effectively predictive accuracy of prediction nomograms, of which the C-index were 0.666, 0.874, and 0.760 for good discrimination, respectively. DCAs and risk subgroups revealed the clinical effectiveness of these nomograms.
conclusionsNovel population-based nomograms for T1 CRC patients could objectively and accurately predict the risk of LNM and DM, as well as OS for different stages. These predictive tools may help clinicians to make individual clinical decisions, before clinical management.
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