Matches in SemOpenAlex for { <https://semopenalex.org/work/W2029437176> ?p ?o ?g. }
- W2029437176 endingPage "260" @default.
- W2029437176 startingPage "253" @default.
- W2029437176 abstract "Vast resources are expended during the development of new cancer therapeutics, and selection of optimal in vivo models should improve this process. Genetically engineered mouse models (GEMM) of cancer have progressively improved in technical sophistication and, accurately recapitulating the human cognate condition, have had a measureable impact on our knowledge of tumourigenesis. However, the application of GEMMs to facilitate the development of innovative therapeutic and diagnostic approaches has lagged behind. GEMMs that recapitulate human cancer offer an additional opportunity to accelerate drug development, and should complement the role of the widely used engraftment tumour models." @default.
- W2029437176 created "2016-06-24" @default.
- W2029437176 creator A5070242435 @default.
- W2029437176 creator A5071360446 @default.
- W2029437176 creator A5072185005 @default.
- W2029437176 date "2012-03-01" @default.
- W2029437176 modified "2023-09-22" @default.
- W2029437176 title "Predictive in vivo animal models and translation to clinical trials" @default.
- W2029437176 cites W1258890488 @default.
- W2029437176 cites W1489284756 @default.
- W2029437176 cites W1504437329 @default.
- W2029437176 cites W1518520618 @default.
- W2029437176 cites W1542112366 @default.
- W2029437176 cites W1891860149 @default.
- W2029437176 cites W193544880 @default.
- W2029437176 cites W1963482033 @default.
- W2029437176 cites W1965995529 @default.
- W2029437176 cites W1966683022 @default.
- W2029437176 cites W1968075576 @default.
- W2029437176 cites W1970082212 @default.
- W2029437176 cites W1970154345 @default.
- W2029437176 cites W1970195561 @default.
- W2029437176 cites W1971141723 @default.
- W2029437176 cites W1977999028 @default.
- W2029437176 cites W1981486175 @default.
- W2029437176 cites W1985995033 @default.
- W2029437176 cites W1990367849 @default.
- W2029437176 cites W1992252639 @default.
- W2029437176 cites W1992661182 @default.
- W2029437176 cites W1992995822 @default.
- W2029437176 cites W1998048991 @default.
- W2029437176 cites W1998534698 @default.
- W2029437176 cites W2001679453 @default.
- W2029437176 cites W2001999652 @default.
- W2029437176 cites W2004691500 @default.
- W2029437176 cites W2012084975 @default.
- W2029437176 cites W2014599726 @default.
- W2029437176 cites W2015015957 @default.
- W2029437176 cites W2019214567 @default.
- W2029437176 cites W2028435743 @default.
- W2029437176 cites W2032019019 @default.
- W2029437176 cites W2034548257 @default.
- W2029437176 cites W2037480365 @default.
- W2029437176 cites W2039828110 @default.
- W2029437176 cites W2041181609 @default.
- W2029437176 cites W2041594739 @default.
- W2029437176 cites W2044675149 @default.
- W2029437176 cites W2053277232 @default.
- W2029437176 cites W2064170540 @default.
- W2029437176 cites W2066135299 @default.
- W2029437176 cites W2070011883 @default.
- W2029437176 cites W2074469498 @default.
- W2029437176 cites W2080151878 @default.
- W2029437176 cites W2098900183 @default.
- W2029437176 cites W2102119680 @default.
- W2029437176 cites W2103146352 @default.
- W2029437176 cites W2107441200 @default.
- W2029437176 cites W2108362314 @default.
- W2029437176 cites W2110046798 @default.
- W2029437176 cites W2113936489 @default.
- W2029437176 cites W2115686439 @default.
- W2029437176 cites W2125244026 @default.
- W2029437176 cites W2126181231 @default.
- W2029437176 cites W2129970777 @default.
- W2029437176 cites W2134819449 @default.
- W2029437176 cites W2140088548 @default.
- W2029437176 cites W2140690632 @default.
- W2029437176 cites W2148168351 @default.
- W2029437176 cites W2148666312 @default.
- W2029437176 cites W2150550712 @default.
- W2029437176 cites W2155823502 @default.
- W2029437176 cites W2158474413 @default.
- W2029437176 cites W2160982674 @default.
- W2029437176 cites W2165474323 @default.
- W2029437176 cites W2318605753 @default.
- W2029437176 cites W2324684567 @default.
- W2029437176 cites W2333950962 @default.
- W2029437176 cites W4239206682 @default.
- W2029437176 cites W4377077308 @default.
- W2029437176 doi "https://doi.org/10.1016/j.drudis.2012.02.003" @default.
- W2029437176 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22493784" @default.
- W2029437176 hasPublicationYear "2012" @default.
- W2029437176 type Work @default.
- W2029437176 sameAs 2029437176 @default.
- W2029437176 citedByCount "83" @default.
- W2029437176 countsByYear W20294371762012 @default.
- W2029437176 countsByYear W20294371762013 @default.
- W2029437176 countsByYear W20294371762014 @default.
- W2029437176 countsByYear W20294371762015 @default.
- W2029437176 countsByYear W20294371762016 @default.
- W2029437176 countsByYear W20294371762017 @default.
- W2029437176 countsByYear W20294371762018 @default.
- W2029437176 countsByYear W20294371762019 @default.
- W2029437176 countsByYear W20294371762020 @default.
- W2029437176 countsByYear W20294371762021 @default.
- W2029437176 countsByYear W20294371762022 @default.
- W2029437176 crossrefType "journal-article" @default.
- W2029437176 hasAuthorship W2029437176A5070242435 @default.