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Related Experiment Video

Updated: May 9, 2025

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
10:28

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

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Peripheral blood metabolic composite score based on peripheral blood metabolism can be used as an assessment of

Ning Meng1, Zhiqiang Wang1, Yaqi Peng2

  • 1Department of General Surgery, Shijiazhuang People's Hospital, Shijiazhuang, Hebei, China.

Frontiers in Oncology
|May 2, 2025
PubMed
Summary

Peripheral blood metabolic markers like LHR, TCHR, TGHR, and TyG can predict recurrence in locally advanced gastric cancer (LAGC) patients after surgery. A new model combining these markers with clinical factors improves risk prediction for better patient management.

Keywords:
locally advanced gastric cancermetabolic markersnomogrampostoperative recurrencepredictive model

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Area of Science:

  • Oncology
  • Metabolomics
  • Clinical Biomarkers

Background:

  • Postoperative recurrence is a significant challenge for patients with locally advanced gastric cancer (LAGC).
  • Identifying predictive biomarkers is crucial for guiding clinical decisions and improving patient outcomes.
  • This study focuses on peripheral blood metabolic markers for predicting recurrence in LAGC.

Purpose of the Study:

  • To investigate the association between four peripheral blood metabolic markers and postoperative recurrence in LAGC patients.
  • To develop and validate a predictive model for postoperative recurrence using these metabolic markers.
  • To enhance risk stratification and optimize postoperative management for LAGC patients.

Main Methods:

  • Retrospective cohort study of 1,040 LAGC patients undergoing radical resection.
  • Analysis of peripheral blood metabolic indicators: LHR, TCHR, TGHR, and TyG.
  • Development and validation of a nomogram integrating metabolic markers and clinical factors for recurrence prediction.

Main Results:

  • High levels of LHR, TCHR, TGHR, and TyG were significantly associated with increased postoperative recurrence risk (P < 0.001).
  • TNM stage, pathological type, SII, and metabolic score were identified as independent predictors.
  • The combined predictive model showed high AUC values (0.867-0.887) in training and validation sets.

Conclusions:

  • Peripheral blood metabolic markers (LHR, TCHR, TGHR, TyG) are valuable predictors of recurrence in LAGC.
  • The integrated predictive model offers an effective tool for personalized risk stratification.
  • This model can aid in optimizing postoperative management strategies for LAGC patients.