Clinical utility of tumor marker cutoff ratio and a combination scoring system of preoperative carcinoembryonic antigen, carbohydrate antigen 19-9, carbohydrate antigen 72-4 levels in gastric cancer

• Published in: Annals of surgical treatment and research Vol. 85; no. 6; pp. 283 - 289
• Main Authors: Jong-Chan Lee, Se Youl Lee, Chan Young Kim, Doo Hyun Yang
• Format: Journal Article
• Language: English
• Published: 대한외과학회 01.12.2013
• Subjects: 일반외과학; Gastric cancer; Prognosis; Tumor markers
• ISSN: 2288-6575; 2288-6796

Purpose: The present study is to investigate the clinical utility of tumor marker cutoff ratio (TMR) and develop a TMR combination scoring system based on preoperative tumor marker (TM) levels to prognosis prediction in gastric cancer. Methods: We include 1,142 patients for whom two or more TMs were measured and who underwent radical gastrectomy between 1990 and 2003. Results: Five-year risk of recurrence (5 YRR) for carcinoembryonic antigen (CEA) TMRs were 18.3%, 29.8%, 61.4% for TMR < 1.0, 1.0 ≤ TMR < 2.0, TMR ≥ 2.0 respectively. 5 YRR for carbohydrate antigen 19-9 (CA 19-9) TMR were 19.7%, 35.6%, 58.4% for TMR < 1.0, 1.0 ≤ TMR < 3.0, TMR ≥ 3.0, respectively. 5 YRR for carbohydrate antigen 72-4 (CA 72-4) TMR were 15.2% and 33.6% for TMR < 1.0 and TMR ≥ 1.0, respectively. We defined high TMR (TMR ≥ 2.0 for CEA, TMR ≥ 3.0 for CA19-9), low TMR (1.0 ≤ TMR < 2 for CEA, 1.0 ≤ TMR < 3.0 for CA 19-9 and 1.0 ≤ TMR for CA72-4) and negative TMR (TMR < 1.0 for all TMs). A TMR combination scoring system was devised with negative scored as zero points, low as 1 and high as 2 for each TMR. TMR scores were divided into four categories (score 0, 1, 2, 3 and above) based on the calculated TMR score and 5 YRR were found to be 12.8%, 23.9%, 45.5%, and 68.3%, respectively (P < 0.05). Multivariate analysis showed that our scoring system was a significant independent prognostic factor. Conclusion: Preoperative TMRs such as CEA, CA 19-9, and CA 72-4 show a correlation with prognosis and the TMR combination scoring system could be a useful tool for the prediction of prognosis in gastric cancer. KCI Citation Count: 13