Prognostic significance of preoperative and postoperative CK19 and CEA mRNA levels in peripheral blood of patients with gastric cardia cancer.

World J Gastroenterol

Yu-Feng Qiao, Chuan-Gui Chen, Jie Yue, Ming-Quan Ma, Zhao Ma, Zhen-Tao Yu, Department of Esophageal Cancer, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Cancer Prevention and Therapy of Tianjin City, Tianjin 300060, China.

Published: February 2017

Aim: To evaluate the clinical and prognostic significance of preoperative and postoperative cytokeratin 19 (CK19) and carcinoembryonic antigen (CEA) mRNA levels in peripheral blood of patients with gastric cardia cancer (GCC).

Methods: We detected the preoperative and postoperative mRNA levels of CK19 and CEA in peripheral blood of 129 GCC patients by using reverse transcription-polymerase chain reaction and evaluated their clinical and prognostic significance by univariate Kaplan-Meier survival analysis and multivariate Cox proportional hazard analysis. A new prognostic model which stratified patients into three different risk groups was established based on the independent prognostic factors.

Results: Elevated preoperative and postoperative CK19 and CEA mRNA levels in peripheral blood of GCC patients were associated with lymph node metastasis. Univariate analysis showed that tumor size, histological grade, depth of tumor invasion, lymph node metastasis, preoperative CK19 mRNA, and preoperative and postoperative CEA mRNA levels were correlated with the prognosis of GCC patients. The multivariate analysis showed that lymph node status ( = 0.018), preoperative CK19 ( = 0.035) and CEA ( = 0.011) mRNA levels were independent prognostic factors for overall survival (OS). The 5-year OS rates for the low-, intermediate-, and high-risk groups were 48.3%, 22.6%, and 4.6%, respectively ( < 0.001).

Conclusion: Elevated preoperative CK19 and CEA mRNA levels may be regarded as promising biomarkers for predicting lymph node metastasis and poor prognosis in patients with GCC. This new prognostic model may help us identify the subpopulations of GCC patients with the highest risk.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330827PMC
http://dx.doi.org/10.3748/wjg.v23.i8.1424DOI Listing

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