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2024-05-31Zeitschriftenartikel
Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models
dc.contributor.authorHynds, Robert E.
dc.contributor.authorHuebner, Ariana
dc.contributor.authorPearce, David R.
dc.contributor.authorHill, Mark S.
dc.contributor.authorAkarca, Ayse U.
dc.contributor.authorMoore, David A.
dc.contributor.authorWard, Sophia
dc.contributor.authorGowers, Kate H. C.
dc.contributor.authorKarasaki, Takahiro
dc.contributor.authorAl Bakir, Maise
dc.contributor.authorWilson, Gareth A.
dc.contributor.authorPich, Oriol
dc.contributor.authorMartínez-Ruiz, Carlos
dc.contributor.authorMd Mukarram Hossain, A. S.
dc.contributor.authorPearce, Simon P.
dc.contributor.authorSivakumar, Monica
dc.contributor.authorBen Aissa, Assma
dc.contributor.authorGrönroos, Eva
dc.contributor.authorChandrasekharan, Deepak
dc.contributor.authorKolluri, Krishna K.
dc.contributor.authorTowns, Rebecca
dc.contributor.authorWang, Kaiwen
dc.contributor.authorCook, Daniel E.
dc.contributor.authorBosshard-Carter, Leticia
dc.contributor.authorNaceur-Lombardelli, Cristina
dc.contributor.authorRowan, Andrew J.
dc.contributor.authorVerriah, Selvaraju
dc.contributor.authorLitchfield, Kevin
dc.contributor.authorCrosbie, Philip A. J.
dc.contributor.authorDive, Caroline
dc.contributor.authorQuezada, Sergio A.
dc.contributor.authorJanes, Sam M.
dc.contributor.authorJamal-Hanjani, Mariam
dc.contributor.authorMarafioti, Teresa
dc.contributor.authorTRACERx consortium
dc.contributor.authorMcGranahan, Nicholas
dc.date.accessioned2026-03-09T09:02:03Z
dc.date.available2026-03-09T09:02:03Z
dc.date.issued2024-05-31none
dc.identifier.other10.1038/s41467-024-47547-3
dc.identifier.urihttp://edoc.rki.de/176904/13496
dc.description.abstractPatient-derived xenograft (PDX) models are widely used in cancer research. To investigate the genomic fidelity of non-small cell lung cancer PDX models, we established 48 PDX models from 22 patients enrolled in the TRACERx study. Multi-region tumor sampling increased successful PDX engraftment and most models were histologically similar to their parent tumor. Whole-exome sequencing enabled comparison of tumors and PDX models and we provide an adapted mouse reference genome for improved removal of NOD scid gamma (NSG) mouse-derived reads from sequencing data. PDX model establishment caused a genomic bottleneck, with models often representing a single tumor subclone. While distinct tumor subclones were represented in independent models from the same tumor, individual PDX models did not fully recapitulate intratumor heterogeneity. On-going genomic evolution in mice contributed modestly to the genomic distance between tumors and PDX models. Our study highlights the importance of considering primary tumor heterogeneity when using PDX models and emphasizes the benefit of comprehensive tumor sampling.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectAgedeng
dc.subjectAnimalseng
dc.subjectCarcinoma, Non-Small-Cell Lung* / geneticseng
dc.subjectCarcinoma, Non-Small-Cell Lung* / pathologyeng
dc.subjectDisease Models, Animaleng
dc.subjectExome Sequencingeng
dc.subjectFemaleeng
dc.subjectGenetic Heterogeneityeng
dc.subjectGenomics / methodseng
dc.subjectHeterograftseng
dc.subjectHumanseng
dc.subjectLung Neoplasms* / geneticseng
dc.subjectLung Neoplasms* / pathologyeng
dc.subjectMaleeng
dc.subjectMiceeng
dc.subjectMice, Inbred NOD*eng
dc.subjectMice, SCIDeng
dc.subjectMiddle Agedeng
dc.subjectXenograft Model Antitumor Assayseng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleRepresentation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft modelsnone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/13496-5
dc.type.versionpublishedVersionnone
local.edoc.container-titleNature Communicationsnone
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameSpringer Naturenone
local.edoc.container-reportyear2024none
local.edoc.container-firstpage1none
local.edoc.container-lastpage21none
dc.description.versionPeer Reviewednone

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