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Grant Details

Grant Number: 5R01CA127532-05 Interpret this number
Primary Investigator: Perera, Frederica
Organization: Columbia University Health Sciences
Project Title: Molecular Epidemiology and Lung Cancer: a Nested Case-Control Study
Fiscal Year: 2012
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Abstract

DESCRIPTION (provided by applicant): The broad objective of the proposed study is the early detection of lung cancer through the identification of patterns of protein expression with the potential to identify early disease. The research "nests" a case-control study within the prospective Harvard Physicians Health Study (PHS) to determine whether biomarkers in blood of healthy individuals can detect early disease that would manifest itself years or decades later. Specific Aims: Our aims are to test the following hypotheses: 1) The baseline blood samples from subjects who later develop lung cancer (cases) will differ significantly with respect to their patterns of protein expression from samples of subjects who are followed for the same period of time and have the same smoking status at enrollment but do not develop lung cancer (controls), such that an "overall" discriminating pattern can be identified that has adequate sensitivity and specificity (>80%) to serve as a potential biomarker of early disease. 2) The baseline blood samples from subjects who later develop Non-Small Cell Lung Cancer (NSCLC) will differ significantly with respect to their patterns of protein expression from samples of controls, such that a "specific" discriminating pattern can be identified that has higher sensitivity and specificity (>85%) to serve as a potential biomarker of early NSCLC. While a number of studies have demonstrated the potential of proteomics in early detection of lung cancer, the sample sizes have been small, none have involved well characterized prospective cohorts, and the specific markers, when identified, have been inconsistent from study to study. None has systematically assessed biomarker validity in terms of the sensitivity and specificity of the patterns under different circumstances of time from blood draw to diagnosis, histology, stage, or smoking status. This research is an essential step in their validation as tools in early detection of lung cancer. Research design and methods: Baseline blood samples from 350 cases and 700 matched controls will be selected from stored "enrollment" samples from the PHS and analyzed for patterns of protein expression. Detailed smoking, environmental, health and dietary histories (baseline and follow-up) have been obtained on each subject. Preliminary studies have demonstrated the feasibility of this collaboration between Columbia University, Harvard University, and the NCI/FDA and have generated data directly supporting all of the research aims. Lung cancer is the leading cause of death from cancer in the U.S. and worldwide and claims over 162,000 lives every year in the U.S. The proposal fits within the mission of the NIH, NCI, and NIEHS to reduce the burden of illness and within the NCI's and NIEHS' strategic areas highlighted for advancement: cancer prevention, early detection and prediction, molecular epidemiology, and validation of new biomarkers of preclinical risk.

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Publications

Circulating pro-surfactant protein B as a risk biomarker for lung cancer.
Authors: Taguchi A. , Hanash S. , Rundle A. , McKeague I.W. , Tang D. , Darakjy S. , Gaziano J.M. , Sesso H.D. , Perera F. .
Source: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2013 Oct; 22(10), p. 1756-61.
EPub date: 2013-07-29.
PMID: 23897585
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Better cancer biomarker discovery through better study design.
Authors: Rundle A. , Ahsan H. , Vineis P. .
Source: European journal of clinical investigation, 2012 Dec; 42(12), p. 1350-9.
EPub date: 2012-09-23.
PMID: 22998109
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Cancer.
Authors: Perera F.P. , Vineis P. .
Source: IARC scientific publications, 2011; (163), p. 337-62.
PMID: 22997871
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FRACTALS WITH POINT IMPACT IN FUNCTIONAL LINEAR REGRESSION.
Authors: McKeague I.W. , Sen B. .
Source: Annals of statistics, 2010; 38(4), p. 2559-2586.
PMID: 23785219
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Molecular epidemiology and biomarkers in etiologic cancer research: the new in light of the old.
Authors: Vineis P. , Perera F. .
Source: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2007 Oct; 16(10), p. 1954-65.
PMID: 17932342
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