Profiling tumor-associated antibodies for early detection of non-small cell lung cancer

Journal of Thoracic Oncology

Volumn 1, Issue 6, 2006, Pages 513-519

  Zhong, Li ^a,e   Coe, Sarah P ^a   Stromberg, Arnold J ^b   Khattar, Nada H ^a   Jett, James R ^c   Hirschowitz, Edward A ^a,d  

^a UNIVERSITY OF KENTUCKY   (United States)

^b UNIVERSITY OF KENTUCKY   (United States)

^c MAYO CLINIC   (United States)

^d LEXINGTON VA MEDICAL CENTER   (United States)

^e UNIVERSITY OF KENTUCKY MEDICAL CENTER   (United States)

Author keywords

Biomarkers; Early detection; Lung cancer; Phage display; Protein microarray; Tumor associated autoantibodies

Indexed keywords

AUTOANTIBODY; CANCER ANTIBODY; COMPLEMENTARY DNA; TUMOR MARKER;

ADULT; AGED; ANTIBODY DETECTION; ANTIGEN RECOGNITION; AREA UNDER THE CURVE; ARTICLE; BACTERIOPHAGE T7; CANCER DIAGNOSIS; CLINICAL ARTICLE; CLINICAL TRIAL; CLONE; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE MARKER; DNA LIBRARY; DNA SCREENING; EARLY CANCER; EARLY DIAGNOSIS; FEMALE; HUMAN; IMMUNOGENICITY; IMMUNOREACTIVITY; LOGISTIC REGRESSION ANALYSIS; LUNG NON SMALL CELL CANCER; MALE; OCCULT CANCER; PLASMA; PREDICTION; PREVALENCE; PRIORITY JOURNAL; PROBABILITY; PROTEIN EXPRESSION; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; VALIDATION STUDY; BLOOD; CANCER STAGING; CASE CONTROL STUDY; COHORT ANALYSIS; GENE LIBRARY; GENETICS; IMMUNOLOGY; INCIDENCE; LUNG TUMOR; MASS SCREENING; METHODOLOGY; MIDDLE AGED; PREDICTION AND FORECASTING; PROTEIN MICROARRAY; REFERENCE VALUE; ROC CURVE; STATISTICAL MODEL;

AGED; ANTIBODIES, NEOPLASM; BACTERIOPHAGE T7; CARCINOMA, NON-SMALL-CELL LUNG; CASE-CONTROL STUDIES; COHORT STUDIES; EARLY DIAGNOSIS; FEMALE; GENE LIBRARY; HUMANS; INCIDENCE; LOGISTIC MODELS; LUNG NEOPLASMS; MALE; MASS SCREENING; MIDDLE AGED; NEOPLASM STAGING; PREDICTIVE VALUE OF TESTS; PROTEIN ARRAY ANALYSIS; REFERENCE VALUES; ROC CURVE; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 33750315127     PISSN: 15560864     EISSN: 15561380     Source Type: Journal    
DOI: 10.1097/01243894-200607000-00003     Document Type: Article

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