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Rahman 9-marker MALDI MS panel for Lung Cancer

Basics

Attributes

QA State: Curated
Short Name:
HGNC Name:

This panel was derived from the proteomic analysis of bronchial lesions that could predict the diagnosis of lung cancer. Nine matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) mass to charge ratio features were selected to build a prediction model diagnostic of lung cancer. One signature was not able to be associated with a particular protein. The remaining eight signatures are derived from: Thymosin beta-4 (TMSB4X), Macrophage migration inhibitory factor (MIF), Des-ubiquitin (Ubiquitin-Gly-Gly), Ubiquitin, Acyl-coA binding protein (ACBP, also known as DBI), Cystatin A (CSTA), and Cytochrome c.

Panel Details

Datasets

There are no datasets associated with this biomarker.

Organs

The following organs have data associated with this biomarker…

Lung

Attributes

Phase: Two
QA State: Curated

Overview

Determining the probability of having lung cancer based on a novel proteomic signature of bronchial lesions may have important clinical implications. This signature may facilitate the diagnosis of lung cancer and the monitoring of high-risk individuals for lung cancer in surveillance and chemoprevention trials.

Studies

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.

Organs

No associated resources found.

New Funding Opportunity: Biomarker Development Laboratories for the Early Detection Network: Applications Due May 23

Update: Pre-application webinar information now available.

The National Cancer Institute's Division of Cancer Prevention has released a new funding opportunity to solicit organ-specific applications for Biomarker Developmental Laboratories (BDLs), one of the four scientific units of the recently funded Early Detection Research Network (EDRN). The EDRN is a national infrastructure funded to discover, develop, and validate biomarkers for risk assessment, detection, and molecular diagnosis and prognosis of early cancer. BDLs are responsible for the discovery, development, characterization, and testing of new, or the refinement of existing, biomarkers and biomarker assays for risk assessment, detection, and molecular diagnosis and prognosis of cancers.

The existing BDLs are primarily focused on ovary and gastrointestinal cancers. The proposed BDLs (to be supported under this funding opportunity) should be focused on one or more of the following cancers: breast, prostate and other genitourinary organs, or lung. In addition, cancers with rapidly rising incidence rates, e.g., endometrial, hepatocellular, kidney, thyroid, oropharyngeal cancers, and/or cancers with unique etiology, e.g., mesothelioma, will be considered.

The newly funded units of the Early Detection Research Network will be announced later in April. Successful applicants have already been notified. Those researchers who were not successful during the last round of applications are encouraged to apply to this opportunity.