Interrogating open issues in cancer precision medicine with patient-derived xenografts
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu časopisecké články, přehledy, práce podpořená grantem, Research Support, N.I.H., Extramural
Grantová podpora
20544
Cancer Research UK - United Kingdom
16465
Cancer Research UK - United Kingdom
10372/Z/14/Z
Wellcome Trust - United Kingdom
16942
Cancer Research UK - United Kingdom
MC_PC_15080
Medical Research Council - United Kingdom
FLF2015_04_GLASGOW
Pancreatic Cancer UK - United Kingdom
C29717/A17263
Cancer Research UK - United Kingdom
R01 CA156695
NCI NIH HHS - United States
9675
Cancer Research UK - United Kingdom
22533
Cancer Research UK - United Kingdom
MR/P012442/1
Medical Research Council - United Kingdom
SGP/1
Chief Scientist Office - United Kingdom
MR/M008975/1
Medical Research Council - United Kingdom
UM1 CA186688
NCI NIH HHS - United States
17263
Cancer Research UK - United Kingdom
PubMed
28104906
DOI
10.1038/nrc.2016.140
PII: nrc.2016.140
Knihovny.cz E-zdroje
- MeSH
- chemorezistence MeSH
- imunoterapie MeSH
- individualizovaná medicína * MeSH
- klinické zkoušky jako téma MeSH
- lidé MeSH
- metastázy nádorů MeSH
- modely nemocí na zvířatech MeSH
- myši MeSH
- nádorové biomarkery analýza MeSH
- nádorové kmenové buňky fyziologie MeSH
- nádory patologie terapie MeSH
- xenogenní modely - testy protinádorové aktivity * MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- myši MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
- Research Support, N.I.H., Extramural MeSH
- Názvy látek
- nádorové biomarkery MeSH
Patient-derived xenografts (PDXs) have emerged as an important platform to elucidate new treatments and biomarkers in oncology. PDX models are used to address clinically relevant questions, including the contribution of tumour heterogeneity to therapeutic responsiveness, the patterns of cancer evolutionary dynamics during tumour progression and under drug pressure, and the mechanisms of resistance to treatment. The ability of PDX models to predict clinical outcomes is being improved through mouse humanization strategies and the implementation of co-clinical trials, within which patients and PDXs reciprocally inform therapeutic decisions. This Opinion article discusses aspects of PDX modelling that are relevant to these questions and highlights the merits of shared PDX resources to advance cancer medicine from the perspective of EurOPDX, an international initiative devoted to PDX-based research.
CIBERONC 08035 Barcelona Spain
EurOPDX Consortium and are at the Katholieke Universiteit Leuven 3000 Leuven Belgium
EurOPDX Consortium and are at the Royal College of Surgeons in Ireland Dublin 2 Ireland
Seeding Science SAS 75020 Paris France
The Netherlands Cancer Institute Plesmanlaan 121 1066CX Amsterdam The Netherlands
University of Colorado Cancer Center Aurora Colorado 80045 USA
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