Diffuse large B-cell lymphoma patient-derived xenograft models capture the molecular and biological heterogeneity of the disease
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease defined by transcriptional classifications, specific signaling and survival pathways, and multiple low-frequency genetic alterations. Preclinical model systems that capture the genetic and functional heterogeneity of DLBCL are urgently...
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Published in | Blood Vol. 127; no. 18; pp. 2203 - 2213 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
05.05.2016
American Society of Hematology |
Subjects | |
Online Access | Get full text |
ISSN | 0006-4971 1528-0020 |
DOI | 10.1182/blood-2015-09-672352 |
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Abstract | Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease defined by transcriptional classifications, specific signaling and survival pathways, and multiple low-frequency genetic alterations. Preclinical model systems that capture the genetic and functional heterogeneity of DLBCL are urgently needed. Here, we generated and characterized a panel of large B-cell lymphoma (LBCL) patient-derived xenograft (PDX) models, including 8 that reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL and 1 that is a plasmablastic lymphoma. All LBCL PDX models were subjected to whole-transcriptome sequencing to classify cell of origin and consensus clustering classification (CCC) subtypes. Mutations and chromosomal rearrangements were evaluated by whole-exome sequencing with an extended bait set. Six of the 8 DLBCL models were activated B-cell (ABC)-type tumors that exhibited ABC-associated mutations such as MYD88, CD79B, CARD11, and PIM1. The remaining 2 DLBCL models were germinal B-cell type, with characteristic alterations of GNA13, CREBBP, and EZH2, and chromosomal translocations involving IgH and either BCL2 or MYC. Only 25% of the DLBCL PDX models harbored inactivating TP53 mutations, whereas 75% exhibited copy number alterations of TP53 or its upstream modifier, CDKN2A, consistent with the reported incidence and type of p53 pathway alterations in primary DLBCL. By CCC criteria, 6 of 8 DLBCL PDX models were B-cell receptor (BCR)-type tumors that exhibited selective surface immunoglobulin expression and sensitivity to entospletinib, a recently developed spleen tyrosine kinase inhibitor. In summary, we have established and characterized faithful PDX models of DLBCL and demonstrated their usefulness in functional analyses of proximal BCR pathway inhibition.
•Our generated PDX models reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL.•The experimental and analytical approach will inform the development of additional PDX models and facilitate preclinical drug discovery. |
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AbstractList | Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease defined by transcriptional classifications, specific signaling and survival pathways, and multiple low-frequency genetic alterations. Preclinical model systems that capture the genetic and functional heterogeneity of DLBCL are urgently needed. Here, we generated and characterized a panel of large B-cell lymphoma (LBCL) patient-derived xenograft (PDX) models, including 8 that reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL and 1 that is a plasmablastic lymphoma. All LBCL PDX models were subjected to whole-transcriptome sequencing to classify cell of origin and consensus clustering classification (CCC) subtypes. Mutations and chromosomal rearrangements were evaluated by whole-exome sequencing with an extended bait set. Six of the 8 DLBCL models were activated B-cell (ABC)-type tumors that exhibited ABC-associated mutations such as MYD88, CD79B, CARD11, and PIM1. The remaining 2 DLBCL models were germinal B-cell type, with characteristic alterations of GNA13, CREBBP, and EZH2, and chromosomal translocations involving IgH and either BCL2 or MYC Only 25% of the DLBCL PDX models harbored inactivating TP53 mutations, whereas 75% exhibited copy number alterations of TP53 or its upstream modifier, CDKN2A, consistent with the reported incidence and type of p53 pathway alterations in primary DLBCL. By CCC criteria, 6 of 8 DLBCL PDX models were B-cell receptor (BCR)-type tumors that exhibited selective surface immunoglobulin expression and sensitivity to entospletinib, a recently developed spleen tyrosine kinase inhibitor. In summary, we have established and characterized faithful PDX models of DLBCL and demonstrated their usefulness in functional analyses of proximal BCR pathway inhibition. Our generated PDX models reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL. The experimental and analytical approach will inform the development of additional PDX models and facilitate preclinical drug discovery. Our generated PDX models reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL. The experimental and analytical approach will inform the development of additional PDX models and facilitate preclinical drug discovery. Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease defined by transcriptional classifications, specific signaling and survival pathways, and multiple low-frequency genetic alterations. Preclinical model systems that capture the genetic and functional heterogeneity of DLBCL are urgently needed. Here, we generated and characterized a panel of large B-cell lymphoma (LBCL) patient-derived xenograft (PDX) models, including 8 that reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL and 1 that is a plasmablastic lymphoma. All LBCL PDX models were subjected to whole-transcriptome sequencing to classify cell of origin and consensus clustering classification (CCC) subtypes. Mutations and chromosomal rearrangements were evaluated by whole-exome sequencing with an extended bait set. Six of the 8 DLBCL models were activated B-cell (ABC)-type tumors that exhibited ABC-associated mutations such as MYD88 , CD79B , CARD11 , and PIM1. The remaining 2 DLBCL models were germinal B-cell type, with characteristic alterations of GNA13 , CREBBP , and EZH2 , and chromosomal translocations involving IgH and either BCL2 or MYC . Only 25% of the DLBCL PDX models harbored inactivating TP53 mutations, whereas 75% exhibited copy number alterations of TP53 or its upstream modifier, CDKN2A , consistent with the reported incidence and type of p53 pathway alterations in primary DLBCL. By CCC criteria, 6 of 8 DLBCL PDX models were B-cell receptor (BCR)-type tumors that exhibited selective surface immunoglobulin expression and sensitivity to entospletinib, a recently developed spleen tyrosine kinase inhibitor. In summary, we have established and characterized faithful PDX models of DLBCL and demonstrated their usefulness in functional analyses of proximal BCR pathway inhibition. Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease defined by transcriptional classifications, specific signaling and survival pathways, and multiple low-frequency genetic alterations. Preclinical model systems that capture the genetic and functional heterogeneity of DLBCL are urgently needed. Here, we generated and characterized a panel of large B-cell lymphoma (LBCL) patient-derived xenograft (PDX) models, including 8 that reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL and 1 that is a plasmablastic lymphoma. All LBCL PDX models were subjected to whole-transcriptome sequencing to classify cell of origin and consensus clustering classification (CCC) subtypes. Mutations and chromosomal rearrangements were evaluated by whole-exome sequencing with an extended bait set. Six of the 8 DLBCL models were activated B-cell (ABC)-type tumors that exhibited ABC-associated mutations such as MYD88, CD79B, CARD11, and PIM1. The remaining 2 DLBCL models were germinal B-cell type, with characteristic alterations of GNA13, CREBBP, and EZH2, and chromosomal translocations involving IgH and either BCL2 or MYC. Only 25% of the DLBCL PDX models harbored inactivating TP53 mutations, whereas 75% exhibited copy number alterations of TP53 or its upstream modifier, CDKN2A, consistent with the reported incidence and type of p53 pathway alterations in primary DLBCL. By CCC criteria, 6 of 8 DLBCL PDX models were B-cell receptor (BCR)-type tumors that exhibited selective surface immunoglobulin expression and sensitivity to entospletinib, a recently developed spleen tyrosine kinase inhibitor. In summary, we have established and characterized faithful PDX models of DLBCL and demonstrated their usefulness in functional analyses of proximal BCR pathway inhibition. •Our generated PDX models reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL.•The experimental and analytical approach will inform the development of additional PDX models and facilitate preclinical drug discovery. |
Author | van Hummelen, Paul Wulf, Gerald G. Abo, Ryan P. von Bonin, Frederike Gascoyne, Randy D. Ouyang, Jing Gusenleitner, Daniel Thorner, Aaron R. Cheng, Hongwei Monti, Stefano Aster, Jon C. Ducar, Matthew D. Watahiki, Akira Tan, Yuxiang Pinkus, Geraldine S. Shipp, Margaret A. Zhang, Liye Rodig, Scott J. Farinha, Pedro Weinstock, David M. Chen, Linfeng Christie, Amanda L. Roemer, Margaretha G.M. Chapuy, Bjoern Sun, Heather H. Wang, Yuzhuo |
Author_xml | – sequence: 1 givenname: Bjoern surname: Chapuy fullname: Chapuy, Bjoern organization: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA – sequence: 2 givenname: Hongwei surname: Cheng fullname: Cheng, Hongwei organization: Experimental Therapeutics, British Columbia Cancer Agency, Vancouver, BC, Canada – sequence: 3 givenname: Akira surname: Watahiki fullname: Watahiki, Akira organization: Experimental Therapeutics, British Columbia Cancer Agency, Vancouver, BC, Canada – sequence: 4 givenname: Matthew D. surname: Ducar fullname: Ducar, Matthew D. organization: Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA – sequence: 5 givenname: Yuxiang surname: Tan fullname: Tan, Yuxiang organization: Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA – sequence: 6 givenname: Linfeng surname: Chen fullname: Chen, Linfeng organization: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA – sequence: 7 givenname: Margaretha G.M. surname: Roemer fullname: Roemer, Margaretha G.M. organization: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA – sequence: 8 givenname: Jing surname: Ouyang fullname: Ouyang, Jing organization: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA – sequence: 9 givenname: Amanda L. surname: Christie fullname: Christie, Amanda L. organization: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA – sequence: 10 givenname: Liye surname: Zhang fullname: Zhang, Liye organization: Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA – sequence: 11 givenname: Daniel surname: Gusenleitner fullname: Gusenleitner, Daniel organization: Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA – sequence: 12 givenname: Ryan P. surname: Abo fullname: Abo, Ryan P. organization: Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA – sequence: 13 givenname: Pedro surname: Farinha fullname: Farinha, Pedro organization: Department of Pathology and Laboratory Medicine and the Center for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada – sequence: 14 givenname: Frederike surname: von Bonin fullname: von Bonin, Frederike organization: Department of Hematology and Oncology, Georg-August University Goettingen, Goettingen, Germany; and – sequence: 15 givenname: Aaron R. surname: Thorner fullname: Thorner, Aaron R. organization: Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA – sequence: 16 givenname: Heather H. surname: Sun fullname: Sun, Heather H. organization: Department of Pathology, Brigham and Women's Hospital, Boston, MA – sequence: 17 givenname: Randy D. surname: Gascoyne fullname: Gascoyne, Randy D. organization: Department of Pathology and Laboratory Medicine and the Center for Lymphoid Cancer, British Columbia Cancer Agency, Vancouver, BC, Canada – sequence: 18 givenname: Geraldine S. surname: Pinkus fullname: Pinkus, Geraldine S. organization: Department of Pathology, Brigham and Women's Hospital, Boston, MA – sequence: 19 givenname: Paul surname: van Hummelen fullname: van Hummelen, Paul organization: Center for Cancer Genome Discovery, Dana-Farber Cancer Institute, Boston, MA – sequence: 20 givenname: Gerald G. surname: Wulf fullname: Wulf, Gerald G. organization: Department of Hematology and Oncology, Georg-August University Goettingen, Goettingen, Germany; and – sequence: 21 givenname: Jon C. surname: Aster fullname: Aster, Jon C. organization: Department of Pathology, Brigham and Women's Hospital, Boston, MA – sequence: 22 givenname: David M. surname: Weinstock fullname: Weinstock, David M. organization: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA – sequence: 23 givenname: Stefano surname: Monti fullname: Monti, Stefano organization: Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA – sequence: 24 givenname: Scott J. surname: Rodig fullname: Rodig, Scott J. organization: Department of Pathology, Brigham and Women's Hospital, Boston, MA – sequence: 25 givenname: Yuzhuo surname: Wang fullname: Wang, Yuzhuo organization: Experimental Therapeutics, British Columbia Cancer Agency, Vancouver, BC, Canada – sequence: 26 givenname: Margaret A. surname: Shipp fullname: Shipp, Margaret A. email: margaret_shipp@dfci.harvard.edu organization: Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26773040$$D View this record in MEDLINE/PubMed |
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Copyright | 2016 American Society of Hematology 2016 by The American Society of Hematology. 2016 by The American Society of Hematology 2016 |
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Snippet | Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease defined by transcriptional classifications, specific signaling and survival pathways, and... Our generated PDX models reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL. The experimental and analytical... Our generated PDX models reflect the immunophenotypic, transcriptional, genetic, and functional heterogeneity of primary DLBCL. The experimental and analytical... |
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SubjectTerms | Animals Cell Lineage Chromosome Aberrations Gene Expression Regulation, Neoplastic Genes, Neoplasm Genetic Heterogeneity Heterografts Humans Immunophenotyping Lymphoid Neoplasia Lymphoma, Large B-Cell, Diffuse - genetics Lymphoma, Large B-Cell, Diffuse - pathology Male Mice Mice, Inbred NOD Mice, SCID Mutation Sequence Analysis, DNA Subrenal Capsule Assay Transcriptome |
Title | Diffuse large B-cell lymphoma patient-derived xenograft models capture the molecular and biological heterogeneity of the disease |
URI | https://dx.doi.org/10.1182/blood-2015-09-672352 https://www.ncbi.nlm.nih.gov/pubmed/26773040 https://www.proquest.com/docview/1787471475 https://pubmed.ncbi.nlm.nih.gov/PMC4859195 |
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