A Noninvasive Multianalytical Approach for Lung Cancer Diagnosis of Patients with Pulmonary Nodules.

Autor: Liu QX; Department of Thoracic Surgery, Xinqiao Hospital Third Military Medical University (Army Medical University) Xinqiao Main Street Chongqing 400037 China., Zhou D; Department of Thoracic Surgery, Xinqiao Hospital Third Military Medical University (Army Medical University) Xinqiao Main Street Chongqing 400037 China., Han TC; GeneCast Biotechnology Co., Ltd 88 Danshan Road, Xidong Chuangrong Building, Suite C-1310 Wuxi Jiangsu 214104 China., Lu X; Department of Thoracic Surgery, Xinqiao Hospital Third Military Medical University (Army Medical University) Xinqiao Main Street Chongqing 400037 China., Hou B; Department of Thoracic Surgery, Xinqiao Hospital Third Military Medical University (Army Medical University) Xinqiao Main Street Chongqing 400037 China., Li MY; Department of Thoracic Surgery, Xinqiao Hospital Third Military Medical University (Army Medical University) Xinqiao Main Street Chongqing 400037 China., Yang GX; Department of Thoracic Surgery, Xinqiao Hospital Third Military Medical University (Army Medical University) Xinqiao Main Street Chongqing 400037 China., Li QY; GeneCast Biotechnology Co., Ltd 88 Danshan Road, Xidong Chuangrong Building, Suite C-1310 Wuxi Jiangsu 214104 China., Pei ZH; GeneCast Biotechnology Co., Ltd 88 Danshan Road, Xidong Chuangrong Building, Suite C-1310 Wuxi Jiangsu 214104 China., Hong YY; GeneCast Biotechnology Co., Ltd 88 Danshan Road, Xidong Chuangrong Building, Suite C-1310 Wuxi Jiangsu 214104 China., Zhang YX; GeneCast Biotechnology Co., Ltd 88 Danshan Road, Xidong Chuangrong Building, Suite C-1310 Wuxi Jiangsu 214104 China., Chen WZ; GeneCast Biotechnology Co., Ltd 88 Danshan Road, Xidong Chuangrong Building, Suite C-1310 Wuxi Jiangsu 214104 China., Zheng H; Department of Thoracic Surgery, Xinqiao Hospital Third Military Medical University (Army Medical University) Xinqiao Main Street Chongqing 400037 China., He J; GeneCast Biotechnology Co., Ltd 88 Danshan Road, Xidong Chuangrong Building, Suite C-1310 Wuxi Jiangsu 214104 China., Dai JG; Department of Thoracic Surgery, Xinqiao Hospital Third Military Medical University (Army Medical University) Xinqiao Main Street Chongqing 400037 China.
Jazyk: angličtina
Zdroj: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2021 May 07; Vol. 8 (13), pp. 2100104. Date of Electronic Publication: 2021 May 07 (Print Publication: 2021).
DOI: 10.1002/advs.202100104
Abstrakt: Addressing the high false-positive rate of conventional low-dose computed tomography (LDCT) for lung cancer diagnosis, the efficacy of incorporating blood-based noninvasive testing for assisting practicing clinician's decision making in diagnosis of pulmonary nodules (PNs) is investigated. In this prospective observative study, next generation sequencing- (NGS-) based cell-free DNA (cfDNA) mutation profiling, NGS-based cfDNA methylation profiling, and blood-based protein cancer biomarker testing are performed for patients with PNs, who are diagnosed as high-risk patients through LDCT and subsequently undergo surgical resections, with tissue sections pathologically examined and classified. Using pathological classification as the gold standard, statistical and machine learning methods are used to select molecular markers associated with tissue's malignant classification based on a 98-patient discovery cohort (28 benign and 70 malignant), and to construct an integrative multianalytical model for tissue malignancy prediction. Predictive models based on individual testing platforms have shown varying levels of performance, while their final integrative model produces an area under the receiver operating characteristic curve (AUC) of 0.85. The model's performance is further confirmed on a 29-patient independent validation cohort (14 benign and 15 malignant, with power > 0.90), reproducing AUC of 0.86, which translates to an overall sensitivity of 80% and specificity of 85.7%.
Competing Interests: The authors declare no conflict of interest.
(© 2021 The Authors. Advanced Science published by Wiley‐VCH GmbH.)
Databáze: MEDLINE
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