DOI 10.1016/j.clinsp.2026.101078
Differential analysis of lung adenocarcinoma and lung squamous cell carcinoma based on serum tumor markers: diagnostic performance and clinical utility.
Аннотация
OBJECTIVE
This study evaluated the performance of Serum Tumor Markers (STMs) in differentiating Lung Adenocarcinoma (LUAD) from Lung Squamous Cell Carcinoma (LUSC), as well as their cost-effectiveness and net clinical benefit.
METHODS
The authors retrospectively analyzed 1009 patients with pathologically confirmed Non-Small Cell Lung Cancer (NSCLC), including 796 cases of LUAD and 213 cases of LUSC.
RESULTS
Serum levels of Cytokeratin 19 Fragment (CYFRA21-1), Squamous Cell Carcinoma Antigen (SCCA), Neuron-Specific Enolase (NSE), and Pro-Gastrin-Releasing Peptide (ProGRP) were significantly higher in LUSC, whereas Carcinoembryonic Antigen (CEA) was higher in LUAD (all p < 0.05). Among individual markers, SCCA and CYFRA21-1 showed the best discrimination, with Areas Under the Receiver Operating Characteristic Curve (AUCs) of 0.77 and 0.76, respectively, while CEA showed limited performance (AUC = 0.55). A multivariate model incorporating age, CEA, CYFRA21-1, and SCCA achieved an AUC of 0.82 (95% Confidence Interval [95% CI]: 0.79-0.85). At the selected threshold, sensitivity and specificity were 0.76 and 0.72, respectively. Model calibration was acceptable overall despite a statistically significant Hosmer-Lemeshow test (p = 0.002). Decision Curve Analysis (DCA) demonstrated a higher net benefit for the model than strategies of performing immunohistochemistry in all patients or none across threshold probabilities of 0.1-0.7. A stepwise diagnostic strategy ‒ initial STM testing followed by immunohistochemistry ‒ was associated with reduced projected diagnostic costs.
CONCLUSION
CYFRA21-1 and SCCA were the most informative STMs for distinguishing LUAD from LUSC. A parsimonious multivariate model demonstrated good discrimination, acceptable calibration, and clinical net benefit. External validation and prospective evaluation are warranted before clinical implementation.
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