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Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection

OBJECTIVE: We have previously analyzed protein profiles using Surface Enhanced Laser Desorption and Ionization Time-Of-Flight Mass Spectroscopy (SELDI-TOF-MS) [Kozak et al. 2003, Proc. Natl. Acad. Sci. U.S.A. 100:12343–8] and identified 3 differentially expressed serum proteins for the diagnosis of...

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Autores principales: Su, Feng, Lang, Jennifer, Kumar, Ashutosh, Ng, Carey, Hsieh, Brian, Suchard, Marc A., Reddy, Srinivasa T., Farias-Eisner, Robin
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717832/
https://www.ncbi.nlm.nih.gov/pubmed/19662218
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author Su, Feng
Lang, Jennifer
Kumar, Ashutosh
Ng, Carey
Hsieh, Brian
Suchard, Marc A.
Reddy, Srinivasa T.
Farias-Eisner, Robin
author_facet Su, Feng
Lang, Jennifer
Kumar, Ashutosh
Ng, Carey
Hsieh, Brian
Suchard, Marc A.
Reddy, Srinivasa T.
Farias-Eisner, Robin
author_sort Su, Feng
collection PubMed
description OBJECTIVE: We have previously analyzed protein profiles using Surface Enhanced Laser Desorption and Ionization Time-Of-Flight Mass Spectroscopy (SELDI-TOF-MS) [Kozak et al. 2003, Proc. Natl. Acad. Sci. U.S.A. 100:12343–8] and identified 3 differentially expressed serum proteins for the diagnosis of ovarian cancer (OC) [Kozak et al. 2005, Proteomics, 5:4589–96], namely, apolipoprotein A-I (apoA-I), transthyretin (TTR) and transferin (TF). The objective of the present study is to determine the efficacy of the three OC biomarkers for the detection of early stage (ES) OC, in direct comparison to CA125. METHODS: The levels of CA125, apoA-I, TTR and TF were measured in 392 serum samples [82 women with normal ovaries (N), 24 women with benign ovarian tumors (B), 85 women with ovarian tumors of low malignant potential (LMP), 126 women with early stage ovarian cancer (ESOC), and 75 women with late stage ovarian cancer (LSOC)], obtained through the GOG and Cooperative Human Tissue Network. Following statistical analysis, multivariate regression models were built to evaluate the utility of the three OC markers in early detection. RESULTS: Multiple logistic regression models (MLRM) utilizing all biomarker values (CA125, TTR, TF and apoA-I) from all histological subtypes (serous, mucinous, and endometrioid adenocarcinoma) distinguished normal samples from LMP with 91% sensitivity (specificity 92%), and normal samples from ESOC with a sensitivity of 89% (specificity 92%). MLRM, utilizing values of all four markers from only the mucinous histological subtype showed that collectively, CA125, TTR, TF and apoA-I, were able to distinguish normal samples from mucinous LMP with 90% sensitivity, and further distinguished normal samples from early stage mucinous ovarian cancer with a sensitivity of 95%. In contrast, in serum samples from patients with mucinous tumors, CA125 alone was able to distinguish normal samples from LMP and early stage ovarian cancer with a sensitivity of only 46% and 47%, respectively. Furthermore, collectively, apoA-I, TTR and TF (excluding CA-125) distinguished i) normal samples from samples representing all histopathologic subtypes of LMP, with a sensitivity of 73%, ii) normal samples from ESOC with a sensitivity of 84% and iii) normal samples from LSOC with a sensitivity of 97%. More strikingly, the sensitivity in distinguishing normal versus mucinous ESOC, utilizing apoA-I, TF and TTR (CA-125 excluded), was 95% (specificity 86%; AUC 95%). CONCLUSIONS: These results suggest that the biomarker panel consisting of apoA-I, TTR and TF may significantly improve early detection of OC.
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spelling pubmed-27178322009-08-06 Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection Su, Feng Lang, Jennifer Kumar, Ashutosh Ng, Carey Hsieh, Brian Suchard, Marc A. Reddy, Srinivasa T. Farias-Eisner, Robin Biomark Insights Original Research OBJECTIVE: We have previously analyzed protein profiles using Surface Enhanced Laser Desorption and Ionization Time-Of-Flight Mass Spectroscopy (SELDI-TOF-MS) [Kozak et al. 2003, Proc. Natl. Acad. Sci. U.S.A. 100:12343–8] and identified 3 differentially expressed serum proteins for the diagnosis of ovarian cancer (OC) [Kozak et al. 2005, Proteomics, 5:4589–96], namely, apolipoprotein A-I (apoA-I), transthyretin (TTR) and transferin (TF). The objective of the present study is to determine the efficacy of the three OC biomarkers for the detection of early stage (ES) OC, in direct comparison to CA125. METHODS: The levels of CA125, apoA-I, TTR and TF were measured in 392 serum samples [82 women with normal ovaries (N), 24 women with benign ovarian tumors (B), 85 women with ovarian tumors of low malignant potential (LMP), 126 women with early stage ovarian cancer (ESOC), and 75 women with late stage ovarian cancer (LSOC)], obtained through the GOG and Cooperative Human Tissue Network. Following statistical analysis, multivariate regression models were built to evaluate the utility of the three OC markers in early detection. RESULTS: Multiple logistic regression models (MLRM) utilizing all biomarker values (CA125, TTR, TF and apoA-I) from all histological subtypes (serous, mucinous, and endometrioid adenocarcinoma) distinguished normal samples from LMP with 91% sensitivity (specificity 92%), and normal samples from ESOC with a sensitivity of 89% (specificity 92%). MLRM, utilizing values of all four markers from only the mucinous histological subtype showed that collectively, CA125, TTR, TF and apoA-I, were able to distinguish normal samples from mucinous LMP with 90% sensitivity, and further distinguished normal samples from early stage mucinous ovarian cancer with a sensitivity of 95%. In contrast, in serum samples from patients with mucinous tumors, CA125 alone was able to distinguish normal samples from LMP and early stage ovarian cancer with a sensitivity of only 46% and 47%, respectively. Furthermore, collectively, apoA-I, TTR and TF (excluding CA-125) distinguished i) normal samples from samples representing all histopathologic subtypes of LMP, with a sensitivity of 73%, ii) normal samples from ESOC with a sensitivity of 84% and iii) normal samples from LSOC with a sensitivity of 97%. More strikingly, the sensitivity in distinguishing normal versus mucinous ESOC, utilizing apoA-I, TF and TTR (CA-125 excluded), was 95% (specificity 86%; AUC 95%). CONCLUSIONS: These results suggest that the biomarker panel consisting of apoA-I, TTR and TF may significantly improve early detection of OC. Libertas Academica 2007-10-16 /pmc/articles/PMC2717832/ /pubmed/19662218 Text en © 2007 by the authors http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Original Research
Su, Feng
Lang, Jennifer
Kumar, Ashutosh
Ng, Carey
Hsieh, Brian
Suchard, Marc A.
Reddy, Srinivasa T.
Farias-Eisner, Robin
Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection
title Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection
title_full Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection
title_fullStr Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection
title_full_unstemmed Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection
title_short Validation of Candidate Serum Ovarian Cancer Biomarkers for Early Detection
title_sort validation of candidate serum ovarian cancer biomarkers for early detection
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717832/
https://www.ncbi.nlm.nih.gov/pubmed/19662218
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