AI Article Synopsis

  • The study explores the effectiveness of serum tumor markers (AFP, CEA, CA125, and CA19-9) in diagnosing gastric cancer compared to benign conditions and healthy individuals.
  • The research involved a sample of 384 individuals, and statistical analysis showed that levels of certain markers were significantly higher in patients with gastric cancer.
  • The combined use of these markers improved diagnostic sensitivity from 4.7-20.8% individually to 69.1% when used together, suggesting that optimal cut-off values can enhance detection rates.

Article Abstract

Background: The detection of serum tumor marker becomes a common method for screening tumors. However, this method has not been widely used for routine gastric cancer screening. In this study we aimed to determine whether the combined use of tumor markers may increase the sensitivity for the diagnosis of gastric cancer.

Methods: Serum AFP, CEA, CA125 and CA19-9 levels were measured in 149 patients with gastric cancer, 111 patients with benign gastric diseases and 124 healthy people, who visited the First Affiliated Hospital of Nanchang University from May 2011 to May 2012. Statistical analysis including receiver operating characteristic (ROC) curve, the area under the curve (AUC), and logistic regression analysis was performed to evaluate the diagnostic value of these markers on gastric cancer.

Results: Serum levels of CEA, CA125, and CA19-9 in gastric cancer group were higher than that in the benign gastric disease group and the healthy control group (P <0.005). The sensitivity of AFP, CEA, CA125 and CA19-9 in the diagnosis of gastric cancer was 4.7-20.8% individually, and increased to 40.3% in combination. By using optimal cut-off value, the sensitivity of CEA, CA125, and CA19-9 for the diagnosis of gastric cancer was improved. Especially, the sensitivity of CEA increased to 58.4% and the sensitivity of combined use of four markers increased to 69.1%. The age and gender had no effects on the diagnostic value of these markers.

Conclusions: The determination and application of optimal cut-off values based on ROC curve and logistic regression analysis could improve the diagnosis of gastric cancer based on common tumor markers.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655895PMC
http://dx.doi.org/10.1186/1471-230X-13-87DOI Listing

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