A novel model for extrapleural cavity metastasis assessment in patients with lung cancer

Author:

Wang Luqing1ORCID,Zhao Qinglin1,Wang Jiasi23,Wang Tingjie4,Sun Liangli4,Chen Qianlai2,Li Jie3,Zeng Fanxin3

Affiliation:

1. Faculty of Information Technology, Macau University of Science & Technology, Macao, China

2. Department of Clinical laboratory, Dazhou Central Hospital, Dazhou, Sichuan, China

3. Department of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China

4. Department of Respiratory Medicine, Dazhou Central Hospital, Dazhou, Sichuan, China

Abstract

Aim: To investigate the clinical value of tumor markers in extrapleural tumor metastasis assessment of newly diagnosed lung cancer patients. Materials & methods: This study retrospectively analyzed 306 patients diagnosed with lung cancer accompanied by tumor metastasis. Patients were grouped into extrapleural tumor metastasis and intrapleural tumor metastasis. Seven serum tumor markers were included for analysis. Results: The area under curves of receiver operating characteristic curve based on binning decision tree algorithm were above 0.8 in both training and validation sets. A scorecard with a score below 3 suggested extrapleural tumor metastasis in newly diagnosed lung cancer patients. Conclusion: The serum tumor marker-derived model is a convenient and fast approach for extrapleural cavity metastasis assessment, which may provide positive implications in newly diagnosed lung cancer patients.

Funder

Key Research and Development Project Fund of Science and Technology Bureau in Dazhou, Sichuan Province

“Xinglin Scholars” Scientific Research Project Fund of Chengdu university of traditional Chinese medicine

The National Natural Science Foundation of China

Publisher

Future Medicine Ltd

Subject

Biochemistry (medical),Clinical Biochemistry,Drug Discovery

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