2014
Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
HIDALGO, Manuel; Frederic AMANT; Andrew V. BIANKIN; Eva BUDINSKÁ; Annete T. BYRNE et al.Základní údaje
Originální název
Patient-Derived Xenograft Models: An Emerging Platform for Translational Cancer Research
Autoři
HIDALGO, Manuel; Frederic AMANT; Andrew V. BIANKIN; Eva BUDINSKÁ; Annete T. BYRNE; Carlos CALDAS; Robert B. CLARKE; Steven de JONG; Jos JONKERS; Gundhild Mari MAELANDSMO; Sergio ROMAN-ROMAN; Joan SEOANE; Livio TRUSOLINO a Alberto VILLANUEVA
Vydání
Cancer Discovery, Philadelphia, American Association for Cancer Research Inc. 2014, 2159-8274
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30200 3.2 Clinical medicine
Stát vydavatele
Spojené státy
Utajení
není předmětem státního či obchodního tajemství
Impakt faktor
Impact factor: 19.453
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14110/14:00078130
Organizační jednotka
Lékařská fakulta
UT WoS
EID Scopus
Klíčová slova anglicky
HUMAN PANCREATIC-CANCER; TUMOR XENOGRAFTS; NUDE-MICE; COLORECTAL-CANCER; STEM-CELLS; IN-VIVO; PERSONALIZED CHEMOTHERAPY; THERAPEUTIC RESPONSE; IMMUNODEFICIENT MICE; DRUG DEVELOPMENT
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 9. 1. 2015 14:10, Soňa Böhmová
Anotace
V originále
Recently, there has been an increasing interest in the development and characterization of patient-derived tumor xenograft (PDX) models for cancer research. PDX models mostly retain the principal histologic and genetic characteristics of their donor tumor and remain stable across passages. These models have been shown to be predictive of clinical outcomes and are being used for preclinical drug evaluation, biomarker identification, biologic studies, and personalized medicine strategies. This article summarizes the current state of the art in this field, including methodologic issues, available collections, practical applications, challenges and shortcomings, and future directions, and introduces a European consortium of PDX models. Significance: PDX models are increasingly used in translational cancer research. These models are useful for drug screening, biomarker development, and the preclinical evaluation of personalized medicine strategies. This review provides a timely overview of the key characteristics of PDX models and a detailed discussion of future directions in the field.