ArticlePloS one2016
Nomogram Incorporating CD44v6 and Clinicopathological Factors to Predict Lymph Node Metastasis for Early Gastric Cancer.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Risk prediction models for lymph node metastasis in early gastric cancer patients: a systematic review and meta-analysis.BMC gastroenterology · 2025Pooled it
- Machine learning for lymph node metastasis prediction of in patients with gastric cancer: A systematic review and meta-analysis.Frontiers in oncology · 2022Pooled it
- Current Status and Challenges of Local Resection for Early Gastric Cancer in East Asia.Cancers · 2026Review
- An ensemble learning model to predict lymph node metastasis in early gastric cancer.Scientific reports · 2025Article
- Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms.Frontiers in oncology · 2024Article
- LncRNA CCAT2 promotes malignant progression of metastatic gastric cancer through regulating CD44 alternative splicing.Cellular oncology (Dordrecht, Netherlands) · 2023Article
- Article
- Analysis of risk factors for lymph node metastasis and prognosis study in patients with early gastric cancer: A SEER data-based study.Frontiers in oncology · 2023Article
- Establishment and Validation for Predicting the Lymph Node Metastasis in Early Gastric Adenocarcinoma.Journal of healthcare engineering · 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
- Ping-Pong-Tumor and Host in Pancreatic Cancer Progression.Frontiers in oncology · 2019Review
- 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
- Novel role of O-glycosyltransferases GALNT3 and B3GNT3 in the self-renewal of pancreatic cancer stem cells.BMC cancer · 2018Article
- Dysregulation of CD44v6 may lead to recurrent spontaneous abortion by inhibiting the proliferation and migration of trophoblast cells.International journal of clinical and experimental pathology · 2018Article
- Risk factors for lymph node metastasis of early gastric cancers in patients younger than 40.Medicine · 2017Observational
- Regulation of CD44v6 expression in gastric carcinoma by the IL-6/STAT3 signaling pathway and its clinical significance.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTreatment strategy for early gastric cancer depends on the probability of lymph node metastasis. The aim of this study is to develop a nomogram predicting lymph node metastasis in early gastric cancer using clinicopathological factors and biomarkers.
methodsA literature review was performed to identify biomarkers related to lymph node metastasis in gastric cancer. Seven markers were selected and immunohistochemistry was performed in 336 early gastric cancer tissues. Based on the multivariable analysis, a prediction model including clinicopatholgical factors and biomarkers was developed, and benefit of adding biomarkers was evaluated using the area under the receiver operating curve and net reclassification improvement. Functional study in gastric cancer cell line was performed to evaluate mechanism of biomarker.
resultsOf the seven biomarkers studied, α1 catenin and CD44v6 were significantly associated with lymph node metastasis. A conventional prediction model, including tumor size, histological type, lymphatic blood vessel invasion, and depth of invasion, was developed. Then, a new prediction model including both clinicopathological factors and CD44v6 was developed. Net reclassification improvement analysis revealed a significant improvement of predictive performance by the addition of CD44v6, and a similar result was shown in the internal validation using bootstrapping. Prediction nomograms were then constructed based on these models. In the functional study, CD44v6 was revealed to affect cell proliferation, migration and invasion.
conclusionsOverexpression of CD44v6 was a significant predictor of lymph node metastasis in early gastric cancer. The prediction nomograms incorporating CD44v6 can be useful to determine treatment plans in patients with early gastric cancer.
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