New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”

Here, we studied new prognostic and predictive easy access strategies in breast cancer (molecular markers), for better classify ER+ breast cancer disease, which might provide additional information and be complementary to the clasical clinical-pathological prediction models.

Autores:
Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
spa
OAI Identifier:
oai:repository.urosario.edu.co:10336/18932
Acceso en línea:
https://doi.org/10.48713/10336_18932
http://repository.urosario.edu.co/handle/10336/18932
Palabra clave:
Breast cancer
Androgen Receptor
Estrogen Receptor
Prognosis
Molecular medicine
Enfermedades
Breast cancer
Androgen Receptor
Estrogen Receptor
Prognosis
Molecular medicine
Neoplasias de la mama
Receptores androgénicos
Medicina molecular
Rights
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
id EDOCUR2_819fdf4428aa4970f07ddadda967e794
oai_identifier_str oai:repository.urosario.edu.co:10336/18932
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
dc.title.spa.fl_str_mv New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”
title New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”
spellingShingle New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”
Breast cancer
Androgen Receptor
Estrogen Receptor
Prognosis
Molecular medicine
Enfermedades
Breast cancer
Androgen Receptor
Estrogen Receptor
Prognosis
Molecular medicine
Neoplasias de la mama
Receptores androgénicos
Medicina molecular
title_short New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”
title_full New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”
title_fullStr New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”
title_full_unstemmed New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”
title_sort New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”
dc.contributor.advisor.none.fl_str_mv Sapino, Anna
Ramírez Clavijo, Sandra Rocío
dc.subject.spa.fl_str_mv Breast cancer
Androgen Receptor
Estrogen Receptor
Prognosis
Molecular medicine
topic Breast cancer
Androgen Receptor
Estrogen Receptor
Prognosis
Molecular medicine
Enfermedades
Breast cancer
Androgen Receptor
Estrogen Receptor
Prognosis
Molecular medicine
Neoplasias de la mama
Receptores androgénicos
Medicina molecular
dc.subject.ddc.spa.fl_str_mv Enfermedades
dc.subject.keyword.spa.fl_str_mv Breast cancer
Androgen Receptor
Estrogen Receptor
Prognosis
Molecular medicine
dc.subject.lemb.spa.fl_str_mv Neoplasias de la mama
Receptores androgénicos
Medicina molecular
description Here, we studied new prognostic and predictive easy access strategies in breast cancer (molecular markers), for better classify ER+ breast cancer disease, which might provide additional information and be complementary to the clasical clinical-pathological prediction models.
publishDate 2018
dc.date.created.none.fl_str_mv 2018-06-06
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-01-28T12:46:33Z
dc.date.available.none.fl_str_mv 2019-01-28T12:46:33Z
dc.type.eng.fl_str_mv doctoralThesis
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.document.spa.fl_str_mv Análisis de caso
dc.type.spa.spa.fl_str_mv Tesis de doctorado
dc.identifier.doi.none.fl_str_mv https://doi.org/10.48713/10336_18932
dc.identifier.uri.none.fl_str_mv http://repository.urosario.edu.co/handle/10336/18932
url https://doi.org/10.48713/10336_18932
http://repository.urosario.edu.co/handle/10336/18932
dc.language.iso.none.fl_str_mv spa
language spa
dc.rights.spa.fl_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/2.5/co/
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia
Abierto (Texto Completo)
http://creativecommons.org/licenses/by-nc-nd/2.5/co/
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad del Rosario
dc.publisher.department.spa.fl_str_mv Facultad de Ciencias Naturales y Matemáticas
dc.publisher.program.spa.fl_str_mv Doctorado en Ciencias Biomédicas
institution Universidad del Rosario
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spelling Sapino, Anna8e474073-64ec-418e-a7ab-8335f150f5e0600Ramírez Clavijo, Sandra Rocío51866251600Rangel Jiménez, Nelson EnriqueDoctor en Ciencias BiomédicasFull time4ec59c9a-e44d-468c-925b-677bd92e8b3d6002019-01-28T12:46:33Z2019-01-28T12:46:33Z2018-06-062018Here, we studied new prognostic and predictive easy access strategies in breast cancer (molecular markers), for better classify ER+ breast cancer disease, which might provide additional information and be complementary to the clasical clinical-pathological prediction models.application/pdfhttps://doi.org/10.48713/10336_18932 http://repository.urosario.edu.co/handle/10336/18932spaUniversidad del RosarioFacultad de Ciencias Naturales y MatemáticasDoctorado en Ciencias BiomédicasAtribución-NoComercial-SinDerivadas 2.5 ColombiaAbierto (Texto Completo)EL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma. PARGRAFO: En caso de presentarse cualquier reclamación o acción por parte de un tercero en cuanto a los derechos de autor sobre la obra en cuestión, EL AUTOR, asumirá toda la responsabilidad, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos la universidad actúa como un tercero de buena fe. EL AUTOR, autoriza a LA UNIVERSIDAD DEL ROSARIO, para que en los términos establecidos en la Ley 23 de 1982, Ley 44 de 1993, Decisión andina 351 de 1993, Decreto 460 de 1995 y demás normas generales sobre la materia, utilice y use la obra objeto de la presente autorización. -------------------------------------- POLITICA DE TRATAMIENTO DE DATOS PERSONALES. Declaro que autorizo previa y de forma informada el tratamiento de mis datos personales por parte de LA UNIVERSIDAD DEL ROSARIO para fines académicos y en aplicación de convenios con terceros o servicios conexos con actividades propias de la academia, con estricto cumplimiento de los principios de ley. 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Proc Natl Acad Sci U S A. 2009;106(25):10284-9.Ateeq B, Tomlins SA, Chinnaiyan AM. AGTR1 as a therapeutic target in ER-positive and ERBB2-negative breast cancer cases. Cell Cycle. 2009;8(23):3794-5.de Ronde JJ, Lips EH, Mulder L, Vincent AD, Wesseling J, Nieuwland M, et al. SERPINA6, BEX1, AGTR1, SLC26A3, and LAPTM4B are markers of resistance to neoadjuvant chemotherapy in HER2-negative breast cancer. Breast Cancer Res Treat. 2013;137(1):213-23.Namazi S, Rostami-Yalmeh J, Sahebi E, Jaberipour M, Razmkhah M, Hosseini A. The role of captopril and losartan in prevention and regression of tamoxifen-induced resistance of breast cancer cell line MCF-7: an in vitro study. 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