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.
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DOI:
10.26508/lsa.202101355
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发表时间:
2023-05
影响因子:
4.4
通讯作者:
Ong'echa, John M.
中科院分区:
文献类型:
--
作者:
Lakshmi, Priya Saikumar;Oduor, Cliff, I;Forconi, Catherine S.;Bana, Viriato M. ';Bly, Courtney;Gerstein, Rachel M.;Otieno, Juliana A.;Muenz, Christian;Luftig, Micah A.;Brehm, Michael A.;Bailey, Jeffrey A.;Moormann, Ann M.;Ong'echa, John M.
Patient-derived tumor models show promise for evaluating novel cancer treatments that could improve outcomes for African children diagnosed with EBV-associated endemic Burkitt lymphoma. 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.
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影响因子:
4.3
作者:
Kanakry, Jennifer A.;Ambinder, Richard F.
通讯作者:
Ambinder, Richard F.
DOI:
10.1158/1541-7786.mcr-16-0305
发表时间:
2017-05
期刊:
Molecular cancer research : MCR
影响因子:
--
作者:
Kaymaz Y;Oduor CI;Yu H;Otieno JA;Ong'echa JM;Moormann AM;Bailey JA
通讯作者:
Bailey JA
影响因子:
29
作者:
Guo, Rui;Liang, Jin Hua;Zhang, Yuchen;Lutchenkov, Michael;Li, Zhixuan;Wang, Yin;Trujillo-Alonso, Vicenta;Puri, Rishi;Giulino-Roth, Lisa;Gewurz, Benjamin E.
通讯作者:
Gewurz, Benjamin E.
DOI:
10.1073/pnas.1705301114
发表时间:
2017-11-07
影响因子:
11.1
作者:
Herndler-Brandstetter, Dietmar;Shan, Liang;Flavell, Richard A.
通讯作者:
Flavell, Richard A.
影响因子:
12.4
作者:
Fitzsimmons, Leah;Boyce, Andrew J.;Rowe, Martin
通讯作者:
Rowe, Martin