ArticleOncotarget2016
A new predictive model combined of tumor size, lymph nodes count and lymphovascular invasion for survival prognosis in patients with lymph node-negative gastric cancer.
Article in Oncotarget, 2016. 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.
- Prediction models for patients with esophageal or gastric cancer: A systematic review and meta-analysis.PloS one · 2018Pooled it
- The correlation between preoperative total lesion glycolysis and lymphovascular invasion based onQuantitative imaging in medicine and surgery · 2025Article
- Prognostic significance of lymphovascular invasion in pN0 stage gastric cancer: a propensity score matching analysis.BMC surgery · 2024Article
- The prognostic role of tumor size in stage T1 gastric cancer.World journal of surgical oncology · 2022Article
- Issues of origin, morphology and clinical significance of tumor microvessels in gastric cancer.World journal of gastroenterology · 2021Review
- Tumor size improves the accuracy of the prognostic prediction of T4a stage colon cancer.Scientific reports · 2021Article
- Effects of Preoperative Pyloric Stenosis on Outcomes and Nutritional Status in 73 Patients Following Curative Gastrectomy for Gastric Cancer: A Retrospective Study from a Single Center.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
- Concurrent lymphovascular and perineural invasion after preoperative therapy for gastric adenocarcinoma is associated with decreased survival.Journal of surgical oncology · 2021Article
- RECURRENCE IN PN0 GASTRIC CANCER: RISK FACTORS IN THE OCCIDENT.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2021Article
- Prognostic significance of Borrmann type combined with vessel invasion status in advanced gastric cancer.World journal of gastrointestinal oncology · 2020Article
- Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer.Clinical and translational gastroenterology · 2019Article
- The association of the lymph node ratio and serum carbohydrate antigen 19-9 with early recurrence after curative gastrectomy for gastric cancer.Surgery today · 2018Article
- Wedge-shaped microfluidic chip for circulating tumor cells isolation and its clinical significance in gastric cancer.Journal of translational medicine · 2018Article
- Article
- Development and Validation of a Nomogram to Predict the Benefit of Adjuvant Radiotherapy for Patients with Resected Gastric Cancer.Journal of Cancer · 2017Article
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15 authors.
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Abstract
backgroundVarious factors may affect the clinical prognosis of lymph node-negative gastric cancer (GC) patients. This study aimed to provide evaluable prognostic information of combination of tumor size (Ts), lymph nodes count (LNs) and lymphovascular invasion (LVI) in lymph node-negative GC patients.
methodsA total of 1,019 node-negative GC patients were enrolled in this retrospective study from 2000 to 2010. The cutoff points of Ts and LNs were determined using X-tile and patients were randomly categorized into training and validation sets by the sample size ratio 1:1. The clinicopathologic characteristics were analyzed and survival prognostic factors were identified, whereas the survival prediction accuracy was also compared by C-index during the different independent prognostic factors.
resultsThe cutoff points for Ts were 3cm and 5cm, while 14 was the cutoff point for LNs. Age, T stage, Ts, LNs and LVI were identified as independent prognostic factors in node-negative GC patients, and a new prognostic predictive model, TsNL staging system which was composed of Ts, LNs and LVI, was proposed in this study. Compared with T staging system, significant improvement of predictive accuracy for TsNL system was found. Furthermore, nomogram based on TsNL was more accurate in prognostic prediction than that based on Ts, LNs and LVI, separately.
conclusionsAge, T stage, Ts, LNs and LVI were independent prognostic factors in lymph node-negative GC patients. The TsNL staging system, composed of Ts, LNs and LVI, which was closely associated with clinicopathologic features, may improve the prognostic prediction accuracy in node-negative GC patients.
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