Cargando…

MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients

BACKGROUND: MUC1 protein is highly expressed in lung cancer. The cytoplasmic domain of MUC1 (MUC1-CD) induces tumorigenesis and resistance to DNA-damaging agents. We characterized MUC1-CD-induced transcriptional changes and examined their significance in lung cancer patients. METHODS: Using DNA micr...

Descripción completa

Detalles Bibliográficos
Autores principales: MacDermed, Dhara M, Khodarev, Nikolai N, Pitroda, Sean P, Edwards, Darrin C, Pelizzari, Charles A, Huang, Lei, Kufe, Donald W, Weichselbaum, Ralph R
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2876055/
https://www.ncbi.nlm.nih.gov/pubmed/20459602
http://dx.doi.org/10.1186/1755-8794-3-16
_version_ 1782181651988611072
author MacDermed, Dhara M
Khodarev, Nikolai N
Pitroda, Sean P
Edwards, Darrin C
Pelizzari, Charles A
Huang, Lei
Kufe, Donald W
Weichselbaum, Ralph R
author_facet MacDermed, Dhara M
Khodarev, Nikolai N
Pitroda, Sean P
Edwards, Darrin C
Pelizzari, Charles A
Huang, Lei
Kufe, Donald W
Weichselbaum, Ralph R
author_sort MacDermed, Dhara M
collection PubMed
description BACKGROUND: MUC1 protein is highly expressed in lung cancer. The cytoplasmic domain of MUC1 (MUC1-CD) induces tumorigenesis and resistance to DNA-damaging agents. We characterized MUC1-CD-induced transcriptional changes and examined their significance in lung cancer patients. METHODS: Using DNA microarrays, we identified 254 genes that were differentially expressed in cell lines transformed by MUC1-CD compared to control cell lines. We then examined expression of these genes in 441 lung adenocarcinomas from a publicly available database. We employed statistical analyses independent of clinical outcomes, including hierarchical clustering, Student's t-tests and receiver operating characteristic (ROC) analysis, to select a seven-gene MUC1-associated proliferation signature (MAPS). We demonstrated the prognostic value of MAPS in this database using Kaplan-Meier survival analysis, log-rank tests and Cox models. The MAPS was further validated for prognostic significance in 84 lung adenocarcinoma patients from an independent database. RESULTS: MAPS genes were found to be associated with proliferation and cell cycle regulation and included CCNB1, CDC2, CDC20, CDKN3, MAD2L1, PRC1 and RRM2. MAPS expressors (MAPS+) had inferior survival compared to non-expressors (MAPS-). In the initial data set, 5-year survival was 65% (MAPS-) vs. 45% (MAPS+, p < 0.0001). Similarly, in the validation data set, 5-year survival was 57% (MAPS-) vs. 28% (MAPS+, p = 0.005). CONCLUSIONS: The MAPS signature, comprised of MUC1-CD-dependent genes involved in the control of cell cycle and proliferation, is associated with poor outcomes in patients with adenocarcinoma of the lung. These data provide potential new prognostic biomarkers and treatment targets for lung adenocarcinoma.
format Text
id pubmed-2876055
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-28760552010-05-26 MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients MacDermed, Dhara M Khodarev, Nikolai N Pitroda, Sean P Edwards, Darrin C Pelizzari, Charles A Huang, Lei Kufe, Donald W Weichselbaum, Ralph R BMC Med Genomics Research article BACKGROUND: MUC1 protein is highly expressed in lung cancer. The cytoplasmic domain of MUC1 (MUC1-CD) induces tumorigenesis and resistance to DNA-damaging agents. We characterized MUC1-CD-induced transcriptional changes and examined their significance in lung cancer patients. METHODS: Using DNA microarrays, we identified 254 genes that were differentially expressed in cell lines transformed by MUC1-CD compared to control cell lines. We then examined expression of these genes in 441 lung adenocarcinomas from a publicly available database. We employed statistical analyses independent of clinical outcomes, including hierarchical clustering, Student's t-tests and receiver operating characteristic (ROC) analysis, to select a seven-gene MUC1-associated proliferation signature (MAPS). We demonstrated the prognostic value of MAPS in this database using Kaplan-Meier survival analysis, log-rank tests and Cox models. The MAPS was further validated for prognostic significance in 84 lung adenocarcinoma patients from an independent database. RESULTS: MAPS genes were found to be associated with proliferation and cell cycle regulation and included CCNB1, CDC2, CDC20, CDKN3, MAD2L1, PRC1 and RRM2. MAPS expressors (MAPS+) had inferior survival compared to non-expressors (MAPS-). In the initial data set, 5-year survival was 65% (MAPS-) vs. 45% (MAPS+, p < 0.0001). Similarly, in the validation data set, 5-year survival was 57% (MAPS-) vs. 28% (MAPS+, p = 0.005). CONCLUSIONS: The MAPS signature, comprised of MUC1-CD-dependent genes involved in the control of cell cycle and proliferation, is associated with poor outcomes in patients with adenocarcinoma of the lung. These data provide potential new prognostic biomarkers and treatment targets for lung adenocarcinoma. BioMed Central 2010-05-06 /pmc/articles/PMC2876055/ /pubmed/20459602 http://dx.doi.org/10.1186/1755-8794-3-16 Text en Copyright ©2010 MacDermed et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
MacDermed, Dhara M
Khodarev, Nikolai N
Pitroda, Sean P
Edwards, Darrin C
Pelizzari, Charles A
Huang, Lei
Kufe, Donald W
Weichselbaum, Ralph R
MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients
title MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients
title_full MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients
title_fullStr MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients
title_full_unstemmed MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients
title_short MUC1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients
title_sort muc1-associated proliferation signature predicts outcomes in lung adenocarcinoma patients
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2876055/
https://www.ncbi.nlm.nih.gov/pubmed/20459602
http://dx.doi.org/10.1186/1755-8794-3-16
work_keys_str_mv AT macdermeddharam muc1associatedproliferationsignaturepredictsoutcomesinlungadenocarcinomapatients
AT khodarevnikolain muc1associatedproliferationsignaturepredictsoutcomesinlungadenocarcinomapatients
AT pitrodaseanp muc1associatedproliferationsignaturepredictsoutcomesinlungadenocarcinomapatients
AT edwardsdarrinc muc1associatedproliferationsignaturepredictsoutcomesinlungadenocarcinomapatients
AT pelizzaricharlesa muc1associatedproliferationsignaturepredictsoutcomesinlungadenocarcinomapatients
AT huanglei muc1associatedproliferationsignaturepredictsoutcomesinlungadenocarcinomapatients
AT kufedonaldw muc1associatedproliferationsignaturepredictsoutcomesinlungadenocarcinomapatients
AT weichselbaumralphr muc1associatedproliferationsignaturepredictsoutcomesinlungadenocarcinomapatients