Predictive Biomarkers of Lymph Node Metastasis in Early Gastric Cancer: A Reference of Clinicopathological Characteristics, Protein Expression, Epstein-Barr Virus Status, and Microsatellite Instability
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Summary
This summary is machine-generated.Predicting lymph node metastasis in early gastric cancer is vital. Stromal desmoplasia, submucosal invasion, and high VEGF-C expression are key indicators, with VEGF-C potentially aiding initial diagnosis.
Area Of Science
- Oncology
- Gastroenterology
- Pathology
Background
- Accurate prediction of lymph node metastasis (LNM) in early gastric cancer (EGC) is critical for guiding treatment decisions.
- Identifying reliable risk factors and auxiliary biomarkers for LNM in EGC is an ongoing clinical challenge.
Purpose Of The Study
- To confirm established risk factors for LNM in EGC.
- To identify novel auxiliary biomarkers for predicting LNM in EGC, particularly for use in initial diagnostic biopsies.
Main Methods
- A training set (n=337) and a test set (n=165) of EGC patients were analyzed.
- Immunohistochemistry was performed for lymphangiogenic pathway components (e.g., VEGF-C, SMAD2/3) and other markers.
- In situ hybridization and multiplex PCR were used to assess viral status and microsatellite instability.
Main Results
- Independent risk factors for LNM in the training set included diffuse/mixed classification, stromal desmoplasia, submucosal invasion (≥500 μm), lymphatic invasion, and high VEGF-C/SMAD2/3 expression.
- The test set confirmed stromal desmoplasia, submucosal invasion, and high VEGF-C expression as independent predictors.
- Tumor cutoff size for LNM prediction was 2.65 cm.
Conclusions
- Stromal desmoplasia, submucosal invasion, and high VEGF-C expression are significant potential biomarkers for LNM in EGC.
- VEGF-C expression shows promise as an adjunct biomarker for predicting LNM from initial forceps-biopsy specimens.

