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HTG Molecular Diagnostics — Technical Presentation (2020)

15 slides from HTG Molecular Diagnostics's technical presentation, 2020

  1. Slide 1: Analysis of the microenvironment of follicular lymphoma by gene expression analysis: importance of the Th17 axis

    Analysis of the microenvironment of follicular lymphoma by gene expression analysis: importance of the Th17 axis PD Dr. med. Thomas Menter DGP Congress 2020 DGP05.06

  2. Slide 2: Lymphomas and their microenvironment

    Lymphomas and their microenvironment Double-edged relationship of lymphomas and their TME • Dependence of trophic/supportive substances and structures of lymphoma cells • Manipulation of the immune system by lymphoma cells to avoid recognition by the immune system Menter et al. Pathobiology 2020

  3. Slide 3: The SAKK 35/10 trial

    The SAKK 35/10 trial • Cooperation of the SAKK and the Nordic Lymphoma Group • Evaluation of the addition of Lenalidomide to Rituximab (R2) in treatment-naive follicular lymphoma in comparison to Rituximab- therapy only • Enrollement of 154 patients • Primary endpoint: complete remission in week 23

  4. Slide 4: Conclusions of the first study part

    Conclusions of the first study part • Analysis of the TME by immunohistochemistry focusing on T-cell subsets • Insights into the heterogeneity of the tumor microenvironment of follicular lymphoma • Microenvironment simplified: already a small subset analysis of the microenvironmental T-cells yields

  5. Slide 5: Heterogeneity of the CD4/CD8 ratio

    Heterogeneity of the CD4/CD8 ratio A C E CD4 CD4 CD4 CD4 CD4 B D F CD8 CD8 CD8 CD8 CD8

  6. Slide 6: Lenalidomide overcomes the prognostic importance of PD1+ TIL

    Lenalidomide overcomes the prognostic importance of PD1+ TIL Menter et al. Br J Haematol 2020

  7. Slide 7: Positive influence of GATA3+ T-cells in the lenalidomide group

    Positive influence of GATA3+ T-cells in the lenalidomide group Menter et al. Br J Haematol 2020

  8. Slide 8: Gene expression profiling

    Gene expression profiling • Analysis of remaining 71 cases with sufficient material • Gene expression profiling using the HTG EdgeSeq Precision Immuno-Oncology Panel • Additional immunohistochemistry for Th17 cells (RORγt)

  9. Slide 9: Cluster analysis

    Cluster analysis TH17 high TH17 low

  10. Slide 10: Progression-free survival analysis

    Progression-free survival analysis Rituximab only Rituximab+Lenalidomide

  11. Slide 11: RORγt+ T-cells in follicular lymphoma

    RORγt+ T-cells in follicular lymphoma

  12. Slide 12: Progression-free survival analysis

    Progression-free survival analysis Rituximab+Lenalidomide

  13. Slide 13: Role(s) of Th17 cells

    Role(s) of Th17 cells BioMed Research International Volume 2015, Article ID 314620

  14. Slide 14: Conclusions

    Conclusions • Correlation between immunohistochemical analysis and gene expression profiling data • Similar to the role of GATA3- and PD1-positive T-cells, the prognostic role of Th17 cells depends on the treatment given • Potential mode of action: induction of Th17 cells and downregulation of regul

  15. Slide 15: [email protected]

    The Power of | Diagnostics Pathology Basel [email protected]

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