Early Detection Research Network

Shen 4-marker miRNA panel for lung cancer

Aliases:
This biomarker is also known as:
  • Shen 4-marker miRNA panel for lung cancer,

Description…

We initially validated expressions of a set of miRNAs in paired lung tumor tissues and plasma specimens from 28 stage I NSCLC patients by real-time quantitative reverse transcription PCR, and then evaluated diagnostic value of the plasma miRNAs in a cohort of 58 NSCLC patients and 29 healthy individuals. The altered miRNA expressions were reproducibly confirmed in the tumor tissues. The miRNAs were stably present and reliably measurable in plasma. A logistic regression model with the best prediction was defined on the basis of the four genes (miRNA-21, -126, -210, and 486-5p), yielding 86.22% sensitivity and 96.55% specificity in distinguishing NSCLC patients from the healthy controls. (Lab Invest. 2011 Apr;91(4):579-87, PMID: 21116241)

Datasets

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Attributes
QA State: Curated
HGNC Name:

Panel Details

The following organs have data associated with this biomarker…

Attributes

Phase: One
QA State: Curated

Overview

We previously identified 12 microRNAs (miRNAs) the aberrant expressions of which in primary lung tumors are associated with early-stage NSCLC. Of the 12 miRNAs, five displayed significant concordance of the expression levels in plasma and the corresponding tumor tissues. A logistic regression model with the best prediction was defined on the basis of the four of these genes (miRNA-21, -126, -210, and 486-5p).

Performance Comment

This panel of miRNAs produced 73.33% sensitivity and 96.55% specificity in identifying stage I NSCLC patients. In addition, the genes have higher sensitivity (91.67%) in diagnosis of lung adenocarcinomas compared with squamous cell carcinomas (82.35%) (P<0.05). Altered expressions of the miRNAs in plasma would provide potential blood-based biomarkers for NSCLC.

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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