Publication:

Endemic Burkitt lymphoma avatar mouse models for exploring inter-patient tumor variation and testing targeted therapies

Date

Date

Date
2023
Journal Article
Published version
cris.lastimport.scopus2025-06-25T03:31:10Z
cris.lastimport.wos2025-07-29T01:33:52Z
dc.contributor.institutionUniversity of Zurich
dc.date.accessioned2024-02-13T14:36:27Z
dc.date.available2024-02-13T14:36:27Z
dc.date.issued2023-05
dc.description.abstract

Endemic Burkitt lymphoma (BL) is a childhood cancer in sub-Saharan Africa characterized by Epstein-Barr virus and malaria-associated aberrant B-cell activation and MYC chromosomal translocation. Survival rates hover at 50% after conventional chemotherapies; therefore, clinically relevant models are necessary to test additional therapies. Hence, we established five patient-derived BL tumor cell lines and corresponding NSG-BL avatar mouse models. Transcriptomics confirmed that our BL lines maintained fidelity from patient tumors to NSG-BL tumors. However, we found significant variation in tumor growth and survival among NSG-BL avatars and in Epstein-Barr virus protein expression patterns. We tested rituximab responsiveness and found one NSG-BL model exhibiting direct sensitivity, characterized by apoptotic gene expression counterbalanced by unfolded protein response and mTOR pro-survival pathways. In rituximab-unresponsive tumors, we observed an IFN-α signature confirmed by the expression of IRF7 and ISG15. Our results demonstrate significant inter-patient tumor variation and heterogeneity, and that contemporary patient-derived BL cell lines and NSG-BL avatars are feasible tools to guide new therapeutic strategies and improve outcomes for these children.

dc.identifier.doi10.26508/lsa.202101355
dc.identifier.issn2575-1077
dc.identifier.scopus2-s2.0-85150000235
dc.identifier.urihttps://www.zora.uzh.ch/handle/20.500.14742/216852
dc.identifier.wos000991814000004
dc.language.isoeng
dc.subject.ddc610 Medicine & health
dc.subject.ddc570 Life sciences; biology
dc.title

Endemic Burkitt lymphoma avatar mouse models for exploring inter-patient tumor variation and testing targeted therapies

dc.typearticle
dcterms.accessRightsinfo:eu-repo/semantics/openAccess
dcterms.bibliographicCitation.journaltitleLife Science Alliance
dcterms.bibliographicCitation.number5
dcterms.bibliographicCitation.originalpublishernameLife Science Alliance
dcterms.bibliographicCitation.pagestarte202101355
dcterms.bibliographicCitation.pmid36878637
dcterms.bibliographicCitation.volume6
dspace.entity.typePublicationen
uzh.contributor.affiliationUniversity of Massachusetts Medical School
uzh.contributor.affiliationDivision of Biology and Medicine
uzh.contributor.affiliationUniversity of Massachusetts Medical School
uzh.contributor.affiliationUniversity of Massachusetts Medical School
uzh.contributor.affiliationUniversity of Massachusetts Medical School
uzh.contributor.affiliationUniversity of Massachusetts Medical School
uzh.contributor.affiliationJaramogi Oginga Odinga Teaching and Referral Hospital
uzh.contributor.affiliationKenya Medical Research Institute
uzh.contributor.affiliationUniversity of Zurich
uzh.contributor.affiliationDuke University School of Medicine
uzh.contributor.affiliationUniversity of Massachusetts Medical School
uzh.contributor.affiliationDivision of Biology and Medicine
uzh.contributor.affiliationUniversity of Massachusetts Medical School
uzh.contributor.authorSaikumar Lakshmi, Priya
uzh.contributor.authorOduor, Cliff I
uzh.contributor.authorForconi, Catherine S
uzh.contributor.authorM'Bana, Viriato
uzh.contributor.authorBly, Courtney
uzh.contributor.authorGerstein, Rachel M
uzh.contributor.authorOtieno, Juliana A
uzh.contributor.authorOng'echa, John M
uzh.contributor.authorMünz, Christian
uzh.contributor.authorLuftig, Micah A
uzh.contributor.authorBrehm, Michael A
uzh.contributor.authorBailey, Jeffrey A
uzh.contributor.authorMoormann, Ann M
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceNo
uzh.contributor.correspondenceYes
uzh.document.availabilitypublished_version
uzh.eprint.datestamp2024-02-13 14:36:27
uzh.eprint.lastmod2025-07-29 01:56:39
uzh.eprint.statusChange2024-02-13 14:36:27
uzh.harvester.ethYes
uzh.harvester.nbNo
uzh.identifier.doi10.5167/uzh-256418
uzh.jdb.eprintsId40727
uzh.oastatus.unpaywallgold
uzh.oastatus.zoraGold
uzh.publication.citationSaikumar Lakshmi, Priya; Oduor, Cliff I; Forconi, Catherine S; M'Bana, Viriato; Bly, Courtney; Gerstein, Rachel M; Otieno, Juliana A; Ong'echa, John M; Münz, Christian; Luftig, Micah A; Brehm, Michael A; Bailey, Jeffrey A; Moormann, Ann M (2023). Endemic Burkitt lymphoma avatar mouse models for exploring inter-patient tumor variation and testing targeted therapies. Life Science Alliance, 6(5):e202101355.
uzh.publication.freeAccessAtdoi
uzh.publication.originalworkoriginal
uzh.publication.publishedStatusfinal
uzh.scopus.impact4
uzh.scopus.subjectsEcology
uzh.scopus.subjectsBiochemistry, Genetics and Molecular Biology (miscellaneous)
uzh.scopus.subjectsPlant Science
uzh.scopus.subjectsHealth, Toxicology and Mutagenesis
uzh.workflow.doajuzh.workflow.doaj.true
uzh.workflow.eprintid256418
uzh.workflow.fulltextStatuspublic
uzh.workflow.revisions38
uzh.workflow.rightsCheckkeininfo
uzh.workflow.sourcePubMed:PMID:36878637
uzh.workflow.statusarchive
uzh.wos.impact4
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