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Updated: Jun 18, 2026
Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
Published on: January 22, 2018
miR-1287-5p as a Biomarker for Predicting Lymph Node Metastasis in Gastric Cancer Patients
Jinjia Zhang1, Min Zhang1, Wenwen Zhao1
1Department of General Practice, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Background:
The purpose of this study was to predict lymph node metastasis (LNM) in gastric cancer (GC) patients by constructing a nomogram.
Methods:
A total of 416 GC patients from the TCGA database and the Second Hospital of Hebei Medical University were included. The TCGA cohort was used to develop the prediction model. Logistic regression was used to determine risk factors associated with LNM in GC patients. A nomogram model was then developed. Model performance was evaluated using the area under the curve (AUC) and calibration curves.
Results:
In the multivariate analysis, the variables independently associated with LNM in GC patients were race (OR=1.820, 95% CI 1.060-3.125), histologic grade (OR=0.587, 95% CI 0.354-0.974), pathologic stage T3 or higher (OR=2.081, 95% CI 1.188-3.647) and miR-1287-5p (OR=0.748, 95% CI 0.565-0.992). A nomogram comprising the above four independent factors was constructed to calculate the possibility of LNM. The C-index values were 0.847 (95% CI 0.777-0.917) and 0.755 (95% CI 0.565-0.944) in the training and supportive cohorts, respectively.
Conclusion:
We identified miR-1287-5p as a novel predictor of LNM in GC patients. We established a nomogram model for predicting LNM in GC patients, and evaluated its performance in a supportive cohort.
