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Universidad del Rosario

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

Abstract

dc: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.

Degree

thesis:*
Grantor dc:publisher
Universidad del Rosario
Year dc:date
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rangel Jiménez, Nelson Enrique

Subjects

dc:subject × 9

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language
spa

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:repository.urosario.edu.co:10336/18932

Chain of custody

source
Harvested from
Universidad del Rosario
Base URL
repository.urosario.edu.co/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Rangel Jiménez, Nelson Enrique. New molecular approches using AR, FOXA1 and HER2 for outcome classification of estrogen Receptor-Positive (ER+) breast cancers”. Universidad del Rosario, 2018. https://doi.org/10.48713/10336_18932