New biomarker identified for early diagnosis of lung cancer, says Study
Tokyo : Researchers have identified a protein which could serve as a biomarker for the early diagnosis of lung cancer.
"The results of our study provide evidence that the CKAP4 protein may be a novel early sero-diagnostic marker for lung cancer," said co-author Ryo Nagashio from Kitasato University School of Allied Health Sciences in Japan.
The disease is associated with a poor prognosis because most lung cancers are only diagnosed at an advanced stage.
Current biomarkers for lung cancer includes carcinoma embryonic antigen (CEA), sialyl Lewis X antigen (SLX), squamous cell carcinoma (SCC) antigen, and cytokeratin fragment (CYFRA) 21-1, but these are not sensitive enough to detect tumors early, the researchers said.
"The use of CKAP4 as a biomarker could change current practices regarding the treatment of lung cancer patients, and the diagnostic accuracies may be markedly improved by the combination of CKAP4 and conventional markers," lead author Yuichi Sato from Kitasato University School of Allied Health Sciences, added.
For the study, researchers performed reverse-phase protein array analysis using a monoclonal antibody designated as KU-Lu-1 antibody on the blood of 271 lung cancer patients and 100 healthy individuals.
They found that KU-Lu-1 reacted only with tumour cells and tumour stromal fibroblasts in lung cancer tissues and not with normal lung tissues. Using immunoprecipitation and mass spectrometry, they confirmed that the KU-Lu-1 antibody recognised CKAP4 in lung cancer cells and tissues, and its secretion into the culture supernatant was also confirmed.
In addition, a validation set consisting of samples from 100 patients with lung cancer and 38 healthy controls was also studied. CKAP4 was recently identified as a receptor of Dickkopf1 (DKK1), the researchers said.
Expressions of DKK1 and CKAP4 were frequently observed in tumor lesions of human pancreatic and lung cancers, and the simultaneous expression of both proteins in tumour tissues was inversely correlated with prognosis and relapse-free survival, the researchers added.