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Two Panels of Plasma MicroRNAs as Non-Invasive Biomarkers for Prediction of Recurrence in Resectable NSCLC

Overview of attention for article published in PLOS ONE, January 2013
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Title
Two Panels of Plasma MicroRNAs as Non-Invasive Biomarkers for Prediction of Recurrence in Resectable NSCLC
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054596
Pubmed ID
Authors

Céline Sanfiorenzo, Marius I. Ilie, Amine Belaid, Fabrice Barlési, Jérôme Mouroux, Charles-Hugo Marquette, Patrick Brest, Paul Hofman

Abstract

The diagnosis of non-small cell lung carcinoma (NSCLC) at an early stage, as well as better prediction of outcome remains clinically challenging due to the lack of specific and robust non-invasive markers. The discovery of microRNAs (miRNAs), particularly those found in the bloodstream, has opened up new perspectives for tumor diagnosis and prognosis. The aim of our study was to determine whether expression profiles of specific miRNAs in plasma could accurately discriminate between NSCLC patients and controls, and whether they are able to predict the prognosis of resectable NSCLC patients. We therefore evaluated a series of seventeen NSCLC-related miRNAs by quantitative real-time (qRT)-PCR in plasma from 52 patients with I-IIIA stages NSCLC, 10 patients with chronic obstructive pulmonary disease (COPD) and 20-age, sex and smoking status-matched healthy individuals. We identified an eleven-plasma miRNA panel that could distinguish NSCLC patients from healthy subjects (AUC = 0.879). A six-plasma miRNA panel was able to discriminate between NSCLC patients and COPD patients (AUC = 0.944). Furthermore, we identified a three-miRNA plasma signature (high miR-155-5p, high miR-223-3p, and low miR-126-3p) that significantly associated with a higher risk for progression in adenocarcinoma patients. In addition, a three-miRNA plasma panel (high miR-20a-5p, low miR-152-3p, and low miR-199a-5p) significantly predicted survival of squamous cell carcinoma patients. In conclusion, we identified two plasma miRNA expression profiles that may be useful for predicting the outcome of patients with resectable NSCLC.

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Geographical breakdown

Country Count As %
Denmark 1 1%
Egypt 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 22%
Student > Ph. D. Student 18 21%
Student > Master 9 11%
Student > Doctoral Student 6 7%
Other 6 7%
Other 14 16%
Unknown 13 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 27%
Biochemistry, Genetics and Molecular Biology 18 21%
Medicine and Dentistry 18 21%
Nursing and Health Professions 2 2%
Business, Management and Accounting 2 2%
Other 7 8%
Unknown 15 18%