ArticleJournal of gastrointestinal oncology2025
Prognostic nomogram for T3-T4 primary colorectal cancer patients with perineural invasion after surgery: a Surveillance, Epidemiology, and End Results program database analysis.
Article in Journal of gastrointestinal oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Neuron-tumor interplay in colorectal cancer: from mechanisms of onset and progression to targeted therapies.Cell communication and signaling : CCS · 2026Review
- Immunogenomic classification and nomogram development and validation for colorectal cancer survival prediction based on immune-related genes.Translational cancer research · 2025Article
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Authors and funding
4 authors.
Funding
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Abstract
Background: Colorectal cancer (CRC) is a common malignancy, with T3-T4 primary CRC characterized by perineural invasion (PNI), representing an aggressive subtype with poor prognosis. This study aimed to develop and validate prognostic nomograms for predicting overall survival (OS) and cancer-specific survival (CSS) in patients with T3-T4 primary CRC and PNI after surgery. Methods: Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database, focusing on patients diagnosed with T3-T4 primary CRC and PNI between 2000 and 2019. Eligible patients were randomly divided into training and validation cohorts. Univariate and multivariate Cox regression analyses were conducted to identify independent prognostic factors, which were integrated into nomograms for OS and CSS. The nomograms were assessed using the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). Results: A total of 7,808 patients met the inclusion criteria. Significant prognostic factors identified in the multivariate analysis included age, sex, race, marital status, site, Tumor (T) stage of the Tumor, Node, Metastasis (TNM) staging system, radiation, regional node positive, liver and lung metastasis, tumor size, histologic type, median household income, and SEER summary stage. The nomograms exhibited good predictive accuracy, with C-indexes of 0.7422 for OS in the training cohort and 0.7428 in the validation cohort. The nomograms were validated using ROC curves, calibration plots, and DCA, which confirmed the models' reliability and clinical utility. Conclusions: The developed nomograms are robust tools for predicting 3-, 5-, and 10-year OS and CSS in patients with T3-T4 primary CRC and PNI after surgery. These tools help clinicians create personalized treatment plans and improve patient outcomes.
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