Rapid and Noninvasive Early Detection of Lung Cancer by Integration of Machine Learning and Salivary Metabolic Fingerprints Using MS LOC Platform: A Large‐Scale Multicenter Study

Shuang Lin; Runlan Yan; Junqi Zhu; Bei Li; Yinyan Zhong; Shuang Han; Huiting Wang; Jianmin Wu; Zhao Chen; Yuyue Jiang; Aiwu Pan; Xuqing Huang; Xiaoming Chen; Pingya Zhu; Sheng Cao; Wenhua Liang; Peng Ye; Yue Gao

doi:10.1002/advs.202416719

journal article·2025-06Open access

Rapid and Noninvasive Early Detection of Lung Cancer by Integration of Machine Learning and Salivary Metabolic Fingerprints Using MS LOC Platform: A Large‐Scale Multicenter Study

Shuang Lin, Runlan Yan, Junqi Zhu, Bei Li, Yinyan Zhong, Shuang Han, Huiting Wang, Jianmin Wu, Zhao Chen, Yuyue Jiang, Aiwu Pan, Xuqing Huang, Xiaoming Chen, Pingya Zhu, Sheng Cao, Wenhua Liang, Peng Ye, Yue Gao

Advanced Science· Volume 12· Issue 22

Publisher page Open full text

Source abstract

Abstract

Abstract Most lung cancer (LC) patients are diagnosed at advanced stages due to the lack of effective screening tools. This multicenter study analyzes 1043 saliva samples (334 LC cases and 709 non‐LC cases) using a novel high‐throughput platform for metabolic fingerprint acquisition. Machine learning identifies 35 metabolic features distinguishing LC from non‐LC subjects, enabling the development of a classification model named SalivaMLD. In the validation set and test set, SalivaMLD demonstrates strong diagnostic performance, achieving an area under the curve of 0.849‐0.850, a sensitivity of 81.69–83.33%, and a specificity of 74.23–74.39%, outperforming conventional tumor biomarkers. Notably, SalivaMLD exhibits superior accuracy in distinguishing early stage LC patients. Hence, this rapid and noninvasive screening method may be widely applied in clinical practice for LC detection.

Source: crossref · Quality: baseline

Research context

OpenAlex topics: Head and Neck Cancer Studies · Advanced Chemical Sensor Technologies · Lung Cancer Diagnosis and Treatment

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Thoracic Surgery The First Affiliated Hospital School of Medicine Zhejiang University Hangzhou 310006 China

Department of Geriatrics Zhejiang Key Laboratory of Traditional Chinese Medicine for the Prevention and Treatment of Senile Chronic Diseases, Affiliated Hangzhou First People’s Hospital School of Medicine Westlake University Hangzhou 310006 China

Respiratory and Critical Care Medicine Department Tongde Hospital of Zhejiang Province Hangzhou 310012 China

Pengbu Subdistrict Community Healthcare Center Shangcheng District Hangzhou 310000 China

Department of Thoracic Oncology and Surgery China State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease The First Affiliated Hospital of Guangzhou Medical University Guangzhou 510000 China

Lab of Nanomedicine and Omic‐based Diagnosis Department of Chemistry Zhejiang University Hangzhou 310058 China

Department of Thoracic Surgery Sir Run Run Shaw Hospital School of Medicine Zhejiang University Hangzhou 310016 China

Department of Internal Medicine the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou 310058 China

Respiratory and Critical Care Medicine Department Affiliated Hospital of Hangzhou Normal University Hangzhou 310000 China

Well‐healthcare Technologies, Co., Ltd. Hangzhou 310012 China

Department of General Surgery Sir Run Run Shaw Hospital School of Medicine Zhejiang University Hangzhou 310016 China

Funding

Science and Technology Program of Zhejiang Province · National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province

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