Publication: Endemic Burkitt lymphoma avatar mouse models for exploring inter-patient tumor variation and testing targeted therapies
Endemic Burkitt lymphoma avatar mouse models for exploring inter-patient tumor variation and testing targeted therapies
Date
Date
Date
| cris.lastimport.scopus | 2025-06-25T03:31:10Z | |
| cris.lastimport.wos | 2025-07-29T01:33:52Z | |
| dc.contributor.institution | University of Zurich | |
| dc.date.accessioned | 2024-02-13T14:36:27Z | |
| dc.date.available | 2024-02-13T14:36:27Z | |
| dc.date.issued | 2023-05 | |
| 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.doi | 10.26508/lsa.202101355 | |
| dc.identifier.issn | 2575-1077 | |
| dc.identifier.scopus | 2-s2.0-85150000235 | |
| dc.identifier.uri | https://www.zora.uzh.ch/handle/20.500.14742/216852 | |
| dc.identifier.wos | 000991814000004 | |
| dc.language.iso | eng | |
| dc.subject.ddc | 610 Medicine & health | |
| dc.subject.ddc | 570 Life sciences; biology | |
| dc.title | Endemic Burkitt lymphoma avatar mouse models for exploring inter-patient tumor variation and testing targeted therapies | |
| dc.type | article | |
| dcterms.accessRights | info:eu-repo/semantics/openAccess | |
| dcterms.bibliographicCitation.journaltitle | Life Science Alliance | |
| dcterms.bibliographicCitation.number | 5 | |
| dcterms.bibliographicCitation.originalpublishername | Life Science Alliance | |
| dcterms.bibliographicCitation.pagestart | e202101355 | |
| dcterms.bibliographicCitation.pmid | 36878637 | |
| dcterms.bibliographicCitation.volume | 6 | |
| dspace.entity.type | Publication | en |
| uzh.contributor.affiliation | University of Massachusetts Medical School | |
| uzh.contributor.affiliation | Division of Biology and Medicine | |
| uzh.contributor.affiliation | University of Massachusetts Medical School | |
| uzh.contributor.affiliation | University of Massachusetts Medical School | |
| uzh.contributor.affiliation | University of Massachusetts Medical School | |
| uzh.contributor.affiliation | University of Massachusetts Medical School | |
| uzh.contributor.affiliation | Jaramogi Oginga Odinga Teaching and Referral Hospital | |
| uzh.contributor.affiliation | Kenya Medical Research Institute | |
| uzh.contributor.affiliation | University of Zurich | |
| uzh.contributor.affiliation | Duke University School of Medicine | |
| uzh.contributor.affiliation | University of Massachusetts Medical School | |
| uzh.contributor.affiliation | Division of Biology and Medicine | |
| uzh.contributor.affiliation | University of Massachusetts Medical School | |
| uzh.contributor.author | Saikumar Lakshmi, Priya | |
| uzh.contributor.author | Oduor, Cliff I | |
| uzh.contributor.author | Forconi, Catherine S | |
| uzh.contributor.author | M'Bana, Viriato | |
| uzh.contributor.author | Bly, Courtney | |
| uzh.contributor.author | Gerstein, Rachel M | |
| uzh.contributor.author | Otieno, Juliana A | |
| uzh.contributor.author | Ong'echa, John M | |
| uzh.contributor.author | Münz, Christian | |
| uzh.contributor.author | Luftig, Micah A | |
| uzh.contributor.author | Brehm, Michael A | |
| uzh.contributor.author | Bailey, Jeffrey A | |
| uzh.contributor.author | Moormann, Ann M | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | No | |
| uzh.contributor.correspondence | Yes | |
| uzh.document.availability | published_version | |
| uzh.eprint.datestamp | 2024-02-13 14:36:27 | |
| uzh.eprint.lastmod | 2025-07-29 01:56:39 | |
| uzh.eprint.statusChange | 2024-02-13 14:36:27 | |
| uzh.harvester.eth | Yes | |
| uzh.harvester.nb | No | |
| uzh.identifier.doi | 10.5167/uzh-256418 | |
| uzh.jdb.eprintsId | 40727 | |
| uzh.oastatus.unpaywall | gold | |
| uzh.oastatus.zora | Gold | |
| uzh.publication.citation | Saikumar 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.freeAccessAt | doi | |
| uzh.publication.originalwork | original | |
| uzh.publication.publishedStatus | final | |
| uzh.scopus.impact | 4 | |
| uzh.scopus.subjects | Ecology | |
| uzh.scopus.subjects | Biochemistry, Genetics and Molecular Biology (miscellaneous) | |
| uzh.scopus.subjects | Plant Science | |
| uzh.scopus.subjects | Health, Toxicology and Mutagenesis | |
| uzh.workflow.doaj | uzh.workflow.doaj.true | |
| uzh.workflow.eprintid | 256418 | |
| uzh.workflow.fulltextStatus | public | |
| uzh.workflow.revisions | 38 | |
| uzh.workflow.rightsCheck | keininfo | |
| uzh.workflow.source | PubMed:PMID:36878637 | |
| uzh.workflow.status | archive | |
| uzh.wos.impact | 4 | |
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