Lipid levels and insulin resistance markers in gastric cancer patients: diagnostic and prognostic significance.

BMC Gastroenterol

Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, 200120, Shanghai, China.

Published: October 2024

AI Article Synopsis

  • - Gastric cancer (GC) is a severe and complex disease with subtle early symptoms, prompting a study to examine the role of serum lipid profiles and insulin resistance markers in its diagnosis and prognosis.
  • - Analysis of 215 GC patients found that their serum lipid levels and triglyceride-glucose (TyG) index were significantly lower compared to a control group, while tumor markers (CEA, CA199, CA125, CA724) were higher, particularly in advanced-stage patients.
  • - The study concluded that a combination of the TyG index and tumor markers could predict GC with high accuracy and is linked to chemotherapy side effects, suggesting that serum lipid profiles could enhance diagnostic and prognostic capabilities for gastric cancer patients.

Article Abstract

Gastric cancer (GC) is a highly heterogeneous and aggressive malignant tumor that seriously affects the life safety of people all over the world. Its early manifestations are subtle. The present study aimed to investigate the clinical significance of serum lipid profiles, insulin resistance markers including the triglyceride-glucose (TyG) index and the atherosclerotic index (AI), in GC patients. A retrospective analysis encompassed 215 GC patients and 827 healthy individuals. The study results show that the total cholesterol, triglycerides, low-density lipoprotein, high-density lipoprotein levels, and the TyG index of GC patients were significantly lower than those of the control group before and after propensity score matching analysis. In the GC group, the levels of CEA, CA199, CA125, and CA724 tumor markers were higher than those in the healthy control group. Patients in advanced stages exhibited lower serum levels of serum lipids and TyG index compared to those in early stages. ROC analysis revealed that the TyG index, CA125, and CA199 combination yielded the highest positive prediction rate for GC at 98.6%. TyG index is significantly associated with the risk of adverse reactions after chemotherapy (OR = 1.104, 95% CI 1.028-1.186, P < 0.01). Multiple tumor markers and the TyG index combined detection showed correlations with five adverse reactions caused by chemotherapy (r < 0.6, P < 0.05). Preoperative lipid profiles in the serum show a strong correlation with patients diagnosed with GC. Evaluating a combination of various serum lipids and cancer markers significantly improves diagnostic precision for GC and the ability to predict chemotherapy side effects.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11495014PMC
http://dx.doi.org/10.1186/s12876-024-03463-wDOI Listing

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