Dataset Information


Integrative analysis for the discovery of lung cancer serological markers and validation by MRM-MS.

ABSTRACT: Non-small-cell lung cancer (NSCLC) constitutes approximately 80% of all diagnosed lung cancers, and diagnostic markers detectable in the plasma/serum of NSCLC patients are greatly needed. In this study, we established a pipeline for the discovery of markers using 9 transcriptome datasets from publicly available databases and profiling of six lung cancer cell secretomes. Thirty-one out of 312 proteins that overlapped between two-fold differentially expressed genes and identified cell secretome proteins were detected in the pooled plasma of lung cancer patients. To quantify the candidates in the serum of NSCLC patients, multiple-reaction-monitoring mass spectrometry (MRM-MS) was performed for five candidate biomarkers. Finally, two potential biomarkers (BCHE and GPx3; AUC = 0.713 and 0.673, respectively) and one two-marker panel generated by logistic regression (BCHE/GPx3; AUC = 0.773) were identified. A validation test was performed by ELISA to evaluate the reproducibility of GPx3 and BCHE expression in an independent set of samples (BCHE and GPx3; AUC = 0.630 and 0.759, respectively, BCHE/GPx3 panel; AUC = 0.788). Collectively, these results demonstrate the feasibility of using our pipeline for marker discovery and our MRM-MS platform for verifying potential biomarkers of human diseases.


PROVIDER: S-EPMC5570484 | BioStudies | 2017-01-01

REPOSITORIES: biostudies

Similar Datasets

2014-01-01 | S-EPMC4311682 | BioStudies
2020-01-01 | S-EPMC7793881 | BioStudies
2017-01-01 | S-EPMC5729477 | BioStudies
2017-01-01 | S-EPMC5500763 | BioStudies
2009-01-01 | S-EPMC2837355 | BioStudies
1000-01-01 | S-EPMC5706930 | BioStudies
2019-01-01 | S-EPMC6643220 | BioStudies
2009-01-01 | S-EPMC2667351 | BioStudies
2012-01-01 | S-EPMC3400422 | BioStudies
2015-01-01 | S-EPMC4634198 | BioStudies