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Dataset Information

Validation of a blood protein signature for non-small cell lung cancer.


ABSTRACT:

Background

CT screening for lung cancer is effective in reducing mortality, but there are areas of concern, including a positive predictive value of 4% and development of interval cancers. A blood test that could manage these limitations would be useful, but development of such tests has been impaired by variations in blood collection that may lead to poor reproducibility across populations.

Results

Blood-based proteomic profiles were generated with SOMAscan technology, which measured 1033 proteins. First, preanalytic variability was evaluated with Sample Mapping Vectors (SMV), which are panels of proteins that detect confounders in protein levels related to sample collection. A subset of well collected serum samples not influenced by preanalytic variability was selected for

SUBMITTER: Mehan MR 

PROVIDER: S-EPMC4123246 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature