An integrated proteomic classifier to distinguish benign from malignant pulmonary nodules.

ABSTRACT:

Background

Pulmonary nodule with diameters ranging 8-30 mm has a high occurrence rate, and distinguishing benign from malignant nodules can greatly improve the patient outcome of lung cancer. However, sensitive and specific liquid-biopsy methods have yet to achieve satisfactory clinical goals.

Methods

We enrolled three cohorts and a total of 185 patients diagnosed with benign (BE) and malignant (MA) pulmonary nodules. Utilizing data-independent acquisition (DIA) mass spectrometry, we quantified plasma proteome from these patients. We then performed logistic regression analysis to classify benign from malignant nodules, using cohort 1 as discovery data set and cohort 2 and 3 as independent validation data sets. We also developed a targeted multi-reaction monitoring (MRM) meth

SUBMITTER: Jia B 

PROVIDER: S-EPMC11974211 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature