Published online Jun 7, 2018. doi: 10.3748/wjg.v24.i21.2269
Peer-review started: February 12, 2018
First decision: February 23, 2018
Revised: February 27, 2018
Accepted: March 18, 2018
Article in press: March 18, 2018
Published online: June 7, 2018
Early diagnosis and treatment of gastric cancer (GC) is extremely important for GC; however, there is still no effective detection method for the early detection of GC.
Many studies have demonstrated that the joint analysis of a panel of indicators may improve the diagnostic value for kinds of cancers. Cytokines have also been demonstrated to play important roles in the development of cancer.
Concentrations of carcinoembryonic antigen (CEA), cancer antigen (CA)724, TNF-α, IL-6 and IL-8 in 176 GC patients, 117 atypical hyperplasia patients and 204 healthy controls were used for building the model; then, 58 GC patients, 41 atypical hyperplasia patients and 66 healthy controls were used for validation. The joints of the indicators were analyzed by binary logistic regression analysis method.
For discriminating the GC, early-stage GC and advanced cancer patients from the healthy control group, the diagnostic sensitivity was 89.66%, 84.21% and 92.31%, respectively. The specificity was 92.42%, 90.91% and 90.91%, respectively. For discriminating the GC, early stage GC and advanced cancer patients from the atypical hyperplasia group, the diagnostic sensitivity was 87.93%, 78.95% and 92.31%, respectively. The specificity was 87.80%, 85.37% and 90.24%, respectively.
We have built a diagnostic model including CEA, CA724, IL-6, IL-8 and TNF-α, and it may represent a potential assistant screening method for the early detection of GC.
Our study provides a simple, effective and noninvasive detection method for the assistant detection of GC. In the future study, multicenter and larger sample size design should be included to validate the diagnostic value.