Early Detection Research Network

Boeri miRNA signature of risk for lung cancer

This biomarker is also known as:
  • Boeri miRNA signature of risk for lung cancer,


miRNA expression analyses in plasma samples collected 1-2 years before the onset of disease, at the time of CT detection and in disease-free smokers enrolled in the screening trial, resulted in the generation of miRNA signatures with strong predictive, diagnostic, and prognostic potential (area under the ROC curve > or = 0.85). The signature of diagnosis of lung cancer is comprised of 16 ratios composed from 13 miRNAs: 21, 92a, 140-3p, 17, 106a, 140-5p, 660, 19b, 451, 30c, 15b, 28-3p, 486-5p. (from PMID:21300873)


There are no datasets associated with this biomarker.

QA State: Curated
HGNC Name:

Panel Details

No member markers defined for this panel.

The following organs have data associated with this biomarker…


Phase: One
QA State: Curated


This miRNA signature was able to identify the presence of aggressive lung cancer not only in tumor, but also in normal lung tissues and in plasma samples of patients. Moreover, miRNAs deregulated in plasma samples collected before clinical appearance of disease were powerful molecular predictors of high-risk disease development.

Performance Comment

The signature for risk for lung cancer could discriminate correctly 18 of 20 samples from subjects developing lung cancer in the training set (90% sensitivity) and resulted positive in only 1 of the 5 control pools (80% specificity). In the validation set, this signature identified 12 of 15 samples collected before lung cancer detection by spiral-CT, with sensitivity of 80%and specificity of 90% (AUC-ROC = 0.85, P < 0.0001; Fig. 4A). The predictive value of this signature was evaluated to be useful up to 28 mo before the disease, and mir-660, mir-140-5p, mir 451, mir-28-3p, mir-30c, and mir-92a are the most frequently deregulated miRNAs.

This biomarker is currently being annotated or is under review. You must be logged in or do not have permission to view any additional information. Contact Heather Kincaid at heather.kincaid@jpl.nasa.gov if you should have access to this biomarker.

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