ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016
Predictable factors for lymph node metastasis in early gastric cancer analysis of clinicopathologic factors and biological markers.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Meta-Analysis of the Relationship between NM23 Expression to Gastric Cancer Risk and Clinical Features.BioMed research international · 2017Pooled it
- Current Status and Challenges of Local Resection for Early Gastric Cancer in East Asia.Cancers · 2026Review
- Single-cell and spatial dissection of necroptosis spatiotemporal evolution driving lymph node metastasis in gastric cancer.Cell death discovery · 2025Article
- Oncologic outcomes of patients with negative nodal involvement on preoperative imaging undergoing surgery for gastric cancer.World journal of surgical oncology · 2025Article
- Prognostic value of serum NLR, PLR, P53, K67 level in lymph node metastasis of early gastric cancer.Journal of medical biochemistry · 2025Article
- Development and validation of a predictive model combining clinical, radiomics, and deep transfer learning features for lymph node metastasis in early gastric cancer.Frontiers in medicine · 2022Article
- Significance of Lymph Node Metastasis in the Treatment of Gastric Cancer and Current Challenges in Determining the Extent of Metastasis.Frontiers in oncology · 2021Review
- Predictive value of E-cadherin and EpCAM for detection of metastatic lymph node in early gastric cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2020Article
- Clinical significance of E-Cadherin and β-catenin in early gastric cancer: A protocol of systematic review.Medicine · 2020Article
- Development and validation of a nomogram for preoperative prediction of lymph node metastasis in early gastric cancer.World journal of surgical oncology · 2020Article
- Article
- The Methods of Lymph Node Examination Make a Difference to Node Staging and Detection of N3b Node Status for Gastric Cancer.Frontiers in oncology · 2020Article
- Establishment of Decision Rules and Risk Assessment Model for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer.Frontiers in oncology · 2020Article
- A panel of DNA methylated markers predicts metastasis of pNBritish journal of cancer · 2019Observational
- Construction and external validation of a nomogram that predicts lymph node metastasis in early gastric cancer patients using preoperative parameters.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2018Article
- Risk factors for lymph node metastasis in early gastric cancer patients: Report from Eastern Europe country- Lithuania.BMC surgery · 2017Article
- A nomogram composed of clinicopathologic features and preoperative serum tumor markers to predict lymph node metastasis in early gastric cancer patients.Oncotarget · 2016Article
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Predicting lymph node metastasis (LNM) accurately is very important to decide treatment strategies preoperatively. The aim of this study was to explore risk factors that predict the presence of LNM in early gastric cancer (EGC). A total of 230 patients with EGC who underwent curative gastrectomy with lymph adenectomy at Xinhua Hospital from January 2006 to July 2014 were retrospectively reviewed. We studied the relationship between clinicopathological factors, biological markers (p53, ki67, nm23, vascular endothelial growth factor (VEGF), epidermal growth factor receptor (EGFR), E-cadherin (E-cad), beta-catenin (b-catenin), glutathione S-transferase (GST), and topoisomerase II (Topo II)), and LNM of EGC patients by chi-square test and logistic regression analysis. Meta-analyses were further conducted to review the effects of the proteins (P53, ki67, E-cad, and b-catenin) on LNM in ECG patients. LNM was detected in 42 (18.3 %) of 230 patients. Incidences of LNM was distinct in different tumor size (p = 0.044), depth of submucosal invasion (p < 0.0001), and P53 overexpression (p = 0.004). Multivariate analysis further indentified that large tumor size (≥20 mm, odds ratio (OR) = 2.168, p = 0.041), submucosa (OR = 4.000, p = 0.0005), and P53 overexpression (OR = 3.010, p = 0.022) were independent risk factors of LNM in EGC patients. The meta-analysis revealed a significantly statistical association of P53, ki67, and b-catenin with an increased risk of LNM in EGC patients (P53, OR = 1.81, p = 0.017; ki67, OR = 2.53, p = 0.0003; b-catenin, OR = 0.53, p = 0.01). Tumor size (≥20 mm), the depth of invasion (submucosa), and P53 overexpression may be helpful predictors of LNM in EGC patients. Furthermore, the results of meta-analysis revealed that P53, ki67 overexpression, and abnormal expression of b-catenin may be associated with LNM in EGC. The results need further validation in single large studies.
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