错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Development of Panel of Three-Dimensional Biomarkers to Identify Gastric Carcinoma and Precancerous Lesions of the Stomach - An Analytical Cross-Sectional Study

  • Sandhya Karra,
  • Ramanan Sinduja,
  • Balakrishnan Gurushankari,
  • T. P. Elamurugan,
  • Thulasingam Mahalakshmy,
  • Vikram Kate,
  • Nivedita Nanda,
  • Nachiappa Ganesh Rajesh,
  • Murugesan Rajeswari,
  • Ruben Raj,
  • Gomathi Shankar

摘要

Serological biomarkers have a predictive potential for gastric cancer (GC) and can be classified into three dimensions: stomach-specific biomarkers, GC-related environmental factors, and cancer-associated biomarkers. Inflammation impacts multiple serum markers, and relying on a single marker limits diagnostic accuracy. Combining multiple predictive markers improves GC detection. This study aimed to assess the association and combined diagnostic accuracy of a three-dimensional biomarkers panel in GC patients. Eligible patients were recruited into three groups: GC, precancerous conditions/lesions, and controls. The primary outcome was to assess the association and diagnostic accuracy of three-dimensional biomarkers in identifying GC and precancerous conditions/lesions. The panel constituted stomach-specific markers (Pepsinogen I, Pepsinogen II, Pepsinogen I & II ratio, Trefoil factor 3, Gastrin 17), GC-related environmental factors (Blood Group Antigen Binding Adhesin A, H. pylori IgG), and cancer-associated biomarkers (Carbohydrate Antigen 19.9, Carbohydrate Antigen 125 and Osteopontin). A total of 228 patients, 76 in each group, were enrolled. The combination of all three-dimensional biomarkers showed a high discriminatory ability for diagnosing GC with AUC of 0.938, sensitivity 94.7%, specificity 81.6% and precancerous conditions/lesions with AUC 0.951, sensitivity 93.4%, specificity 92.1%. Among the three-dimensional biomarkers, the combination of TFF3, H. pylori and CA125 demonstrated a high sensitivity in identifying GC, while the combination of PGI, H. pylori, and CA125 exhibited the highest sensitivity in identifying precancerous conditions/lesions. These results emphasize that combined three-dimensional biomarkers showed good discrimination and could be used as a screening panel for diagnosing GC and precancerous conditions/lesions.