Skip to content. | Skip to navigation

National Cancer Institute U.S. National Institutes of Health www.cancer.gov

Navigation

Personal tools

You are here: Home / Protocols / Development of a multiplexed tumor-associated autoantibody-based blood test for the detection of non-small cell lung cancer.
Not an EDRN Protocol

Development of a multiplexed tumor-associated autoantibody-based blood test for the detection of non-small cell lung cancer.

1019
Farlow, Erin C.Rush University Medical Center

No involved investigator sites defined.

PURPOSE: Non-small cell lung cancer (NSCLC) has an overall 5-year survival of <15%; however, the 5-year survival for stage I disease is over 50%. Unfortunately, 75% of NSCLC is diagnosed at an advanced stage not amenable to surgery. A convenient serum assay capable of unambiguously identifying patients with NSCLC may provide an ideal diagnostic measure to complement computed tomography-based screening protocols. EXPERIMENTAL DESIGN: Standard immunoproteomic method was used to assess differences in circulating autoantibodies among lung adenocarcinoma patients relative to cancer-free controls. Candidate autoantibodies identified by these discovery phase studies were translated into Luminex-based "direct-capture" immunobead assays along with 10 autoantigens with previously reported diagnostic value. These assays were then used to evaluate a second patient cohort composed of four discrete populations, including: 117 NSCLC (81 T(1-2)N(0)M(0) and 36 T(1-2)N(1-2)M(0)), 30 chronic obstructive pulmonary disorder (COPD)/asthma, 13 nonmalignant lung nodule, and 31 "normal" controls. Multivariate statistical methods were then used to identify the optimal combination of biomarkers for classifying patient disease status and develop a convenient algorithm for this purpose. RESULTS: Our immunoproteomic-based biomarker discovery efforts yielded 16 autoantibodies differentially expressed in NSCLC versus control serum. Thirteen of the 25 analytes tested showed statistical significance (Mann-Whitney P < 0.05 and a receiver operator characteristic "area under the curve" over 0.65) when evaluated against a second patient cohort. Multivariate statistical analyses identified a six-biomarker panel with only a 7% misclassification rate. CONCLUSIONS: We developed a six-autoantibody algorithm for detecting cases of NSCLC among several high-risk populations. Population-based validation studies are now required to assign the true value of this tool for identifying early-stage NSCLC.

There are currently no biomarkers annotated for this protocol.

No datasets are currently associated with this protocol.


News

The final report of the 2013 Cancer Biomarkers Bioinformatics Workshop is now available.

Announcement 03/06/2014

Thank you to everyone who helped make the 27th EDRN Steering Committee Meeting a success. We look forward to seeing everyone at the 9th EDRN Scientific Workshop from September 8-11, 2014 in Washington D.C.

Announcement