Detection of Lung Cancer by Plasma Lipids

Detection of Early-stage Lung Cancer Using Machine Learning and Plasma Metabolomics

There are no reliable blood-based tests currently available for early-stage lung cancer diagnosis. We try to establish a highly accurate method for detecting early-stage lung cancer by combining machine learning with untargeted and targeted metabolomics .

All plasma lipids were first detected by untargeted metabolomics methods and 9 feature lipids of early-stage lung cancer were selected by support vector machine algorithm. Then, a targeted metabolomics method was developed to detect the 9 lipids quantitatively based on multiple reaction monitoring mode. Finally, a detection model was established based on the 9 lipids.

Inclusion Criteria:

1. pulmonary nodules or opacity
2. plan to receive surgery

Exclusion Criteria:

1. history of other malignancies
2. received anti-cancer treatment (chemotherapy, radiotherapy, targeted therapy, etc.) before surgery