ArticleCancer cell international2020
Establishment and validation of a novel nomogram incorporating clinicopathological parameters into the TNM staging system to predict prognosis for stage II colorectal cancer.
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed.
- Integrating perioperative inflammation and pathological invasiveness to predict recurrence after curative colorectal cancer surgery: a multicenter cohort study.Frontiers in oncology · 2026Article
- An interpretable CT-based machine learning model for predicting recurrence risk in stage II colorectal cancer.Insights into imaging · 2025Article
- Migrasome-Related Genes as Potential Prognosis and Immunotherapy Response Predictors for Colorectal Cancer.Biomedicines · 2025Article
- Association between individual Warburg-related proteins and prognosis in colorectal cancer.The journal of pathology. Clinical research · 2025Article
- A prediction model for predicting relapsed-free survival of early-stage invasive breast cancer patients with hormone receptor positive based on Ki67, HER2 and TOP2A.Frontiers in oncology · 2025Article
- Development of an AI-Based Predictive Algorithm for Early Diagnosis of High-Risk Dementia Groups among the Elderly: Utilizing Health Lifelog Data.Healthcare (Basel, Switzerland) · 2024Article
- Inflammation-related markers and prognosis of alpha-fetoprotein producing gastric cancer.World journal of gastrointestinal oncology · 2024Article
- Article
- A prognostic nomogram integrating carcinoembryonic antigen levels for predicting overall survival in elderly patients with stage II-III colorectal cancer.Journal of gastrointestinal oncology · 2024Article
- Effects of T2DM on postoperative outcome of patients with colorectal cancer: a study on the relationship between blood glucose control and survival rate.American journal of cancer research · 2024Article
- Application value of laparoscopic surgery in elderly patients (≥ 75 years) with colorectal cancer and prognostic factors influencing 5-year overall survival.American journal of translational research · 2024Article
- Development and validation of nomograms based on pre-/post-operative CEA and CA19-9 for survival predicting in stage I-III colorectal cancer patients after radical resection.Frontiers in oncology · 2024Article
- The role of systemic immune-inflammation index in predicting pathological complete response of breast cancer after neoadjuvant therapy and the establishment of related predictive model.Frontiers in oncology · 2024Article
- The prognostic role of γδ T cells in colorectal cancer based on nomogram.European journal of medical research · 2023Article
- Factors affecting the ORR after neoadjuvant therapy of TP regimen combined with PD-1 inhibitors for esophageal cancer.Scientific reports · 2023Article
- A nomogram based on platelet-to-lymphocyte ratio for predicting pathological complete response of breast cancer after neoadjuvant chemotherapy.BMC cancer · 2023Article
- Association between mutational subgroups, Warburg-subtypes, and survival in patients with colorectal cancer.Cancer medicine · 2023Article
- Survival nomograms for colorectal carcinoma patients with lung metastasis and lung-only metastasis, based on the SEER database and a single-center external validation cohort.BMC gastroenterology · 2022Article
- Nomograms predicting cancer-specific survival for stage IV colorectal cancer with synchronous lung metastases.Scientific reports · 2022Article
- Expression of proteins associated with the Warburg-effect and survival in colorectal cancer.The journal of pathology. Clinical research · 2022Article
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8 authors.
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Abstract
backgroundSurvival outcomes are significantly different in stage II colorectal cancer (CRC) patients with diverse clinicopathological features. The objective of this study is to establish a credible prognostic nomogram incorporating easily obtained parameters for stage II CRC patients.
methodsA total of 1708 stage II CRC patients seen at Fudan University Shanghai Cancer Center (FUSCC) from 2008 to 2013 were retrospectively analyzed in this study. Cases were randomly separated into a training set (n = 1084) and a validation set (n = 624). Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors that were subsequently incorporated into a nomogram. The performance of the nomogram was evaluated by the predicted concordance index (C-index) and ROC curve to calculate the area under the curve (AUC). The clinical utility of the nomogram was evaluated using decision curve analysis (DCA).
resultsIn univariate and multivariate analyses, eight parameters were correlated with disease-free survival (DFS), which were subsequently selected to generate a prognostic nomogram based on DFS. For DFS predictions, the C-index values of the nomogram were 0.842 (95% confidence interval (CI) 0.710-0.980), and 0.701 (95% CI 0.610-0.770) for the training and validation sets, respectively. The AUC values of the ROC curves for the nomogram to predicted 1, 3 and 5-year survival were 0.869, 0.858, and 0.777 (training group) and 0.673, 0.714, and 0.706 (validation group), respectively. The recurrence probability calibration curve showed good consistency between actual observations and nomogram-based predictions. DCA showed better clinical application value for the nomogram than the TNM staging system.
conclusionA novel nomogram was established and validated in a large population, and the nomogram is a simple-to-use tool for physicians to facilitate postoperative personalized prognostic evaluation and determine therapeutic strategies for stage II CRC patients.
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