The Prognostic Value of Biomarkers on Detecting Non-Small Cell Lung Cancer in a Chinese Elderly Population

Abstract

Background: Survival in non-small cell lung cancer (NSCLC) remains poor. Early detection of NSCLC is of great significance to provide a chance to improve survival. Aim: We constructed predictive models to evaluate the predictive value of four tumor biomarkers by including serum human epididymis protein 4 (HE4), carcinoembryonic antigen (CEA), squamous cell carcinoma antigen (SCCA), and cytokeratin 19 fragment (CY21-1) on detecting NSCLC in a Chinese elderly population. Methods: A total of 363 patients with NSCLC and 433 subjects without cancer (healthy control group) were admitted to the respiratory department in our hospital. We assessed serum levels of these four tumor biomarkers in the two groups and then the predictive value of predictive models was evaluated. Results: Serum median values of HE4 (143.3 pmol/L), CEA (4.60 ng/mL), SCCA (1.52 ng/ mL), and CY21-1 (5.36 ng/mL) in patients with NSCLC were significantly higher than the healthy control group, respectively (all P<0.05). A multivariate logistic regression model showed that HE4 (OR=2.10, 95% CI=1.22-4.42, P=0.013), CEA (OR=2.30, 95% CI=1.44-4.53, P=0.004), SCCA (OR=2.20, 95% CI=1.29-4.55, P=0.011), and CY21-1 (OR=2.60, 95% CI=1.56-6.25, P<0.001) were significantly and independently associated with increased risk of NSCLC on admission after confounding factors were corrected. Importantly, the ROC curve suggested HE4 had a good value on predicting NSCLC in the Chinese elderly population. Additionally, the predictive model (CEA+SCCA+CY21-1+HE4) had better idea capability to detecting the existence of NSCLC (AUC=0.954, 95% CI=0.927-0.999, P<0.001). Conclusion:Our study showed that several lung cancer-related biomarkers were used to build prediction models, which has good value for early prediction of NSCLC.

Difference of serum tumor markers in different clinical stages of elderly patients with non-small cell lung cancer and evaluation of diagnostic value

“…Its serum detection can reflect the characteristics and stages of the transformation process of tumor cells, and is used in the early diagnosis of tumor diseases [20] . The application value of the judgment of curative effect and prognosis evaluation is relatively high [31] . The detection of serum tumor markers has the advantages of simple operation and good repeatability.…”

Gene Editing in Non-Small Cell Lung Cancer: Current Application and Future Perspective

“…The use of gene editing technology to determine the prognosis of patients with lung cancer is convenient for clinicians to more accurately grasp the patient's physical condition and provide more information for subsequent treatment and program selection [65,66]. Currently, the zygote arrest protein 1 (ZAR1) methylation level and changes in microRNA editing can be used as critical indicators of the prognosis of lung cancer.…”