Developing drug prioritization approaches to target cancer genomes for precisión medicine

Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Medicina, Departamento de Bioquímica. Fecha de lectura: 28-04-2021

Detalhes bibliográficos
Autor: Piñeiro Yáñez, Elena
Formato: tesis doctoral
Fecha de publicación:2021
País:España
Recursos:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/696360
Acesso em linha:http://hdl.handle.net/10486/696360
Access Level:acceso abierto
Palavra-chave:Cáncer - Atlas de Genoma - Tratamiento - Medicamentos - Tesis doctorales
Biología y Biomedicina / Biología
id ES_5f2bad35f9ce22532cddba72a8f2e4aa
oai_identifier_str oai:repositorio.uam.es:10486/696360
network_acronym_str ES
network_name_str España
repository_id_str
spelling Developing drug prioritization approaches to target cancer genomes for precisión medicineDesarrollo de estrategias de priorización de fármacos para tratar los genomas de cáncer en la medicina de precisiónPiñeiro Yáñez, ElenaCáncer - Atlas de Genoma - Tratamiento - Medicamentos - Tesis doctoralesBiología y Biomedicina / BiologíaTesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Medicina, Departamento de Bioquímica. Fecha de lectura: 28-04-2021Precision oncology requires the definition of a distinctive molecular fingerprint of the patient, as well as a pharmacological arsenal with the agents capable of reversing the associated pathogenic phenotype. One of the tools for molecular characterization is massive genomic sequencing, used with different objectives, including to provide evidence to identify specific and effective treatments. However, this technology entails several difficulties in its management, for example, distinguishing between harmful and benign alterations, as well as pointing out those that may indicate treatment guidelines. On the other hand, the available pharmacological arsenal is limited, so strategies are required to maximize its utility and the integration of available experimental compounds. The methodology of in silico prescription developed in this thesis, which we have named PanDrugs, has been conceived to contribute to overcoming these difficulties. For this purpose, we have built an extensive database of drug-gene associations as a search basis and a double prioritization system: (i) of genomic events according to their oncological impact and consequent therapeutic potential, (ii) and of drugs according to their availability and suitability in the detected molecular context. In order to determine its capabilities, it has been analyzed in several scenarios using different combinations of molecular evidence. In order to characterize in general terms the potential spectrum of therapeutic action in the different types of tumors, it has been systematically applied to several cases of the TCGA (The Cancer Genome Atlas). It has also been used in individual patients at a higher resolution, dissecting the proposed therapeutic suggestions at a molecular level, where it has been able to prioritize coherent options both at the level of sensitivity and resistance. It has demonstrated its potential for proposing therapeutic alternatives to conventional treatments in a clinical study of acute lymphoblastic T-cell leukemia with previous therapeutic failure. And finally, it has shown predictive capacity in the response to EGFR inhibitors in cases with available clinical informationAl-Shahrour Núñez, FátimaDepartamento de BiologíaFacultad de MedicinaCentro Nacional de Investigaciones Oncológicas (CNIO)20212021-04-28doctoral thesishttp://purl.org/coar/resource_type/c_db06NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/doctoralThesisapplication/pdfhttp://hdl.handle.net/10486/696360reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/6963602026-06-23T12:46:27Z
dc.title.none.fl_str_mv Developing drug prioritization approaches to target cancer genomes for precisión medicine
Desarrollo de estrategias de priorización de fármacos para tratar los genomas de cáncer en la medicina de precisión
title Developing drug prioritization approaches to target cancer genomes for precisión medicine
spellingShingle Developing drug prioritization approaches to target cancer genomes for precisión medicine
Piñeiro Yáñez, Elena
Cáncer - Atlas de Genoma - Tratamiento - Medicamentos - Tesis doctorales
Biología y Biomedicina / Biología
title_short Developing drug prioritization approaches to target cancer genomes for precisión medicine
title_full Developing drug prioritization approaches to target cancer genomes for precisión medicine
title_fullStr Developing drug prioritization approaches to target cancer genomes for precisión medicine
title_full_unstemmed Developing drug prioritization approaches to target cancer genomes for precisión medicine
title_sort Developing drug prioritization approaches to target cancer genomes for precisión medicine
dc.creator.none.fl_str_mv Piñeiro Yáñez, Elena
author Piñeiro Yáñez, Elena
author_facet Piñeiro Yáñez, Elena
author_role author
dc.contributor.none.fl_str_mv Al-Shahrour Núñez, Fátima
Departamento de Biología
Facultad de Medicina
Centro Nacional de Investigaciones Oncológicas (CNIO)
dc.subject.none.fl_str_mv Cáncer - Atlas de Genoma - Tratamiento - Medicamentos - Tesis doctorales
Biología y Biomedicina / Biología
topic Cáncer - Atlas de Genoma - Tratamiento - Medicamentos - Tesis doctorales
Biología y Biomedicina / Biología
description Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Medicina, Departamento de Bioquímica. Fecha de lectura: 28-04-2021
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-04-28
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/696360
url http://hdl.handle.net/10486/696360
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869409185683210240
score 15,301603

Registos relacionados