Early Detection Research Network

Bianchi 34-marker miRNA Signature for Lung Cancer

Aliases:
This biomarker is also known as:
  • Bianchi 34-marker miRNA Signature for Lung Cancer,

Description…

This signature was developed based on the detection of 34 microRNAs (miRNAs) from serum that could identify patients with early stage non-small cell lung carcinomas (NSCLCs) in a population of asymptomatic high-risk individuals with 80% accuracy. The signature could assign disease probability accurately either in asymptomatic or symptomatic patients, is able to distinguish between benign and malignant lesions, and to capture the onset of the malignant disease in individual patients over time.

Datasets

There are no datasets associated with this biomarker.

Attributes
QA State: Curated
HGNC Name:

Panel Details

No member markers defined for this panel.

The following organs have data associated with this biomarker…

Attributes

Phase: Two
QA State: Curated

Overview

A diagnostic signature of 34 serum miRNAs was identified. The signature can identify patients with early stage NSCLC with 80% overall accuracy. In addition, the signature can distinguish between benign lung nodules (which are a frequent occurrence in at-risk individuals) and frank NSCLCs. Finally, the signature can capture the time of disease onset in individual patients over time.

Performance Comment

While a larger study that systematically and prospectively compares the results of LD-CT and this serum test will be needed to optimize our blood test, the authors anticipate that the composition of the 34-miRNA model will not change substantially, given its remarkable stability. However, large-scale validation might improve the predictive power of the test by allowing fine-tuning of the predictive algorithm.

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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