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LONGITUDINAL PATIENT-DERIVED XENOGRAFT MODELS REVEAL CONVERGENT MOLECULAR EVOLUTION IN ACUTE MYELOID LEUKAEMIA
Author(s): ,
Caroline Engen
Affiliations:
Centre for Cancer Biomarkers CCBIO, Department of Clinical Science,University of Bergen,Bergen,Norway
,
Monica Hellesoy
Affiliations:
Department of Internal Medicine,Haukeland University Hospital,Bergen,Norway
,
Tara Helen Dowling
Affiliations:
Centre for Cancer Biomarkers CCBIO, Department of Clinical Science,University of Bergen,Bergen,Norway;Centre for Pharmacy, Department of Clinical Science,University of Bergen,Bergen,Norway
,
Samuli Eldfors
Affiliations:
Institute for Molecular Medicine Finland, FIMM,University of Helsinki,Helsinki,Finland
,
Brent Ferrel
Affiliations:
Department of Cancer Biology,Vanderbilt University,Nashville, Tennessee,United States
,
Stein-Erik Gullaksen
Affiliations:
Centre for Cancer Biomarkers CCBIO, Department of Clinical Science,University of Bergen,Bergen,Norway;Department of Internal Medicine, Hematology Section,Haukeland University Hospital,Bergen,Norway
,
Mihaela Popa
Affiliations:
KinN Therapeutics AS,Bergen,Norway
,
Atle Brendehaug
Affiliations:
Department for Medical Genetics and Molecular Medicine,Haukeland University Hospital,Bergen,Norway
,
Riikka Karjalainen
Affiliations:
Institute for Molecular Medicine Finland, FIMM,University of Helsinki,Helsinki,Finland
,
Muntasir Mamun Majunder
Affiliations:
Institute for Molecular Medicine Finland, FIMM,University of Helsinki,Helsinki,Finland
,
Kimmo Porkka
Affiliations:
Institute for Molecular Medicine Finland, FIMM,University of Helsinki,Helsinki,Norway
,
Randi Hovland
Affiliations:
Department for Medical Genetics and Molecular Medicine,Haukeland University Hospital,Bergen,Norway;Department of Biosciences,University of Bergen,Bergen,Norway
,
Øystein Bruserud
Affiliations:
Department of Internal Medicine, Hematology Section,Haukeland University Hospital,Bergen,Norway
,
Jonathan Irish
Affiliations:
Department of Cancer Biology, Vanderbilt University,Vanderbilt University,Nashville, Tennessee,United States
,
Caroline Heckman
Affiliations:
Institute for Molecular Medicine Finland, FIMM,University of Helsinki,Helsinki,Finland
,
Emmet McCormack
Affiliations:
Centre for Cancer Biomarkers CCBIO, Department of Clinical Science,University of Bergen,Bergen,Norway;Centre for Pharmacy, Department of Clinical Science,University of Bergen,Bergen,Norway
Bjørn Tore Gjertsen
Affiliations:
Centre for Cancer Biomarkers CCBIO,University of Bergen,Bergen,Norway;Department of Internal Medicine, Hematology Section,Haukeland University Hospital,Bergen,Norway
EHA Library. Helen Dowling T. 06/09/21; 325150; EP396
Tara Helen Dowling
Tara Helen Dowling
Contributions
Abstract
Presentation during EHA2021: All e-poster presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: EP396

Type: E-Poster Presentation

Session title: Acute myeloid leukemia - Biology & Translational Research

Background

Acute myeloid leukaemia (AML) is considered a highly heterogeneous disease. Novel therapeutic approaches in AML aim to target the molecular mechanisms thought to drive leukemogenesis, but emergent evidence suggests that intra-leukemic composition may be more diverse than previously appreciated. To improve AML outcome, the representation of leukaemic composition in patient derived xenografts and their potential in precision oncology has to be elucidated.

Aims
Interpreting the intra-leukaemic heterogeneity and hierarchy may be challenging in large patient cohorts. Here, we decipher the temporal disease composition of an AML patient through longitudinal sampling and explore the inherent leukaemogenic potential of the primary samples through establishment of serial patient-derived xenograft (PDX) models.

Methods
Primary and PDX-derived samples were analysed in parallell by high-resolution genetic and phenotypic approaches, including sequencing, immunophenotyping and ex vivo drug sensitivity testing. 

Results

Comparison of the genetic composition revealed that all PDX samples bore a closer resemblance to other PDX samples than to the distinct primary samples from which they originated, indicating a pattern of convergent molecular evolution likely resulting from the selective force of the murine environment. 


Across the primary and PDX samples, we identified at least six discrete leukaemia-initiating cell populations, of which five were characterised by known recurrent mutations in AML, including mutations in ASXL1FLT3 and two independent NRAS mutations. These populations correlated with immunophenotypically defined cell subsets displaying distinct drug sensitivity profiles, suggestive of distinct functional properties.

Conclusion

Our results indicate that the genetic and phenotypic development are closely intertwined, and that diversity in the leukaemic gene-environment likely influences disease trajectories. 


 

Keyword(s): AML, Clonal expansion, Clonality, Xenotransplantation

Presentation during EHA2021: All e-poster presentations will be made available as of Friday, June 11, 2021 (09:00 CEST) and will be accessible for on-demand viewing until August 15, 2021 on the Virtual Congress platform.

Abstract: EP396

Type: E-Poster Presentation

Session title: Acute myeloid leukemia - Biology & Translational Research

Background

Acute myeloid leukaemia (AML) is considered a highly heterogeneous disease. Novel therapeutic approaches in AML aim to target the molecular mechanisms thought to drive leukemogenesis, but emergent evidence suggests that intra-leukemic composition may be more diverse than previously appreciated. To improve AML outcome, the representation of leukaemic composition in patient derived xenografts and their potential in precision oncology has to be elucidated.

Aims
Interpreting the intra-leukaemic heterogeneity and hierarchy may be challenging in large patient cohorts. Here, we decipher the temporal disease composition of an AML patient through longitudinal sampling and explore the inherent leukaemogenic potential of the primary samples through establishment of serial patient-derived xenograft (PDX) models.

Methods
Primary and PDX-derived samples were analysed in parallell by high-resolution genetic and phenotypic approaches, including sequencing, immunophenotyping and ex vivo drug sensitivity testing. 

Results

Comparison of the genetic composition revealed that all PDX samples bore a closer resemblance to other PDX samples than to the distinct primary samples from which they originated, indicating a pattern of convergent molecular evolution likely resulting from the selective force of the murine environment. 


Across the primary and PDX samples, we identified at least six discrete leukaemia-initiating cell populations, of which five were characterised by known recurrent mutations in AML, including mutations in ASXL1FLT3 and two independent NRAS mutations. These populations correlated with immunophenotypically defined cell subsets displaying distinct drug sensitivity profiles, suggestive of distinct functional properties.

Conclusion

Our results indicate that the genetic and phenotypic development are closely intertwined, and that diversity in the leukaemic gene-environment likely influences disease trajectories. 


 

Keyword(s): AML, Clonal expansion, Clonality, Xenotransplantation

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