Login / Signup

A predictive nomogram developed and validated for gastric cancer patients with triple-negative tumor markers.

Yitian XuPengshan ZhangZai LuoGang CenShaopeng ZhangYuan ZhangChen Huang
Published in: Future oncology (London, England) (2023)
Aim: To predict the prognosis of gastric cancer patients with triple-negative tumor markers. Materials & methods: Prognostic factors of the nomogram were identified through univariate and multivariate Cox regression analyses. Calibration and receiver operating characteristic curves were used to assess accuracy. Decision curve analysis and concordance indexes were utilized to compare the nomogram with the pathological tumor, node, metastasis stage. Results: A nomogram incorporating log odds of positive lymph nodes, tumor size and lymphocyte-to-monocyte ratio was constructed. The calibration and receiver operating characteristic curves (area under the curve >0.85) showed high accuracy in predicting overall survival. The concordance indexes (0.832 vs 0.760; p < 0.001) and decision curve analysis demonstrated that the nomogram was superior to the pathological tumor, node, metastasis stage. Conclusion: A prediction and risk stratification nomogram has been developed and validated for gastric cancer patients with triple-negative tumor markers.
Keyphrases
  • lymph node
  • lymph node metastasis
  • prognostic factors
  • immune response
  • dendritic cells
  • peripheral blood
  • wastewater treatment