Analysis of MicroRNAs in sputum to improve computed tomography for lung cancer diagnosis.

ABSTRACT:

Introduction

Computed tomography (CT) plays a central role in lung cancer diagnosis. However, CT has relatively low specificity, presenting a challenge in clinical settings. We previously identified 12 microRNAs (miRNAs) whose expressions in tumor tissues were associated with lung cancer.

Methods

Using quantitative reverse transcriptase polymerase chain reaction, we aimed to identify miRNA biomarkers in sputum that could complement CT for diagnosis of lung cancer.

Results

In a training set consisting of 66 lung cancer patients and 68 cancer-free smokers, 10 of the 12 miRNAs were differentially expressed between the cases and controls (p ≤ 0.01). From the miRNAs, a logistic regression model was built on the basis of miR-31 and miR-210, both of which had the best predic

SUBMITTER: Shen J 

PROVIDER: S-EPMC4967496 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature