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Studying CLL-immune interactions

Studying CLL-immune interactions

Nadja Zaborsky (ORCID: 0000-0002-9775-185X)
  • Grant DOI 10.55776/P32762
  • Funding program Principal Investigator Projects
  • Status ended
  • Start October 1, 2020
  • End September 30, 2024
  • Funding amount € 392,490

Disciplines

Computer Sciences (20%); Clinical Medicine (20%); Medical-Theoretical Sciences, Pharmacy (60%)

Keywords

    CLL and TCL1 mouse model, Immune Interactions, Clonal Dynamics, Tumor-Specific T Cells, Immune Checkpoint Therapies, Anti-Cancer Immunity

Abstract Final report

Tumour cells and immune cells interact with each other and can inhibit or promote their growth. Within a tumour, not all tumour cells are the same, but can have different properties, e.g. DNA mutations or proteins. All cancer cells with the same properties are called a tumour clone and may have a growth advantage or disadvantage over other tumour clones. This may be due to the fact that these changes in the cancer cells are recognized as harmful by the body`s own immune cells which then eliminate the cancer cells. However, it is also possible that a mutation has an advantage for the cancer cell, e.g. because the mutation affects a gene that is important for the activation of immune cells, rendering them inactive. Thus, the tumour clone can proliferate and is not eliminated by the immune system. Tumour cells can use various mechanisms to evade detection by immune cells. They can do this either by "hiding" from the immune system or by suppressing the immune cells. Tumour clones that successfully use such a mechanism have an evolutionary advantage over other tumour cells. Such a tumour clone will grow and defend itself optimally against killing by immune cells. A change in the clonal composition of the tumour is therefore also reflected in the immune response, which is responsible for the outgrowth of certain clones. In this project, this clonal tumour evolution and the changes in immune cells (especially T cells) are investigated. We will analyse how suppression and escape from the immune response works and which properties of tumour cells are responsible for the influence on T cells. With this knowledge, new treatment approaches, which aim at making the tumour more visible to immune cells or activating the T- cells, can be developed.

Immunoediting describes the dynamic interaction between cancer cells and the immune system, in which cancer cells ultimately evade the body's own immune defenses, silencing the immune cells - especially T cells - resulting in unhindered growth of cancer cells. Although immune checkpoint therapies can successfully reactivate the immune system in some cancers and thus bring patients into remission, many cancers, including chronic lymphocytic leukemia (CLL), do not respond. For improved therapies, it is important to understand why in many cases the immune system cannot be reactivated to fight cancer. With the help of this research project, we were able to address this question in detail. Using appropriate mouse models, we were able to show that after the development of CLL, the non-CLL-specific T cells were also silenced, which is dependent on the presence of (tumor-)antigen-specific T cells. Transcriptome analyses confirmed the exhaustion phenotype of non-CLL-specific T cells in this model. Our results suggest that in the CLL mouse model, a significant proportion of non-CLL-specific T cells are exhausted during disease progression due to a bystander effect. In this context, using combined amplicon/antibody/scRNAseq methods, we were able to characterize the T cell changes that manifest in the course of CLL disease depending on clinical progression at the single cell level in terms of clonality and gene expression. Furthermore, we were able to show that the antigen receptor - i.e. the specificity - of CLL cells influences the severity of the disease and of associated lymphadenopathies and that an increased mTor-mediated signaling cascade may be associated with therapy resistance of CLL. Finally, the funding also allowed the establishment of several bioinformatic analysis platforms. This made it possible to investigate i) the tumor microenvironment and ii) the tumor-immune interaction and iii) clonal tumor evolution using single-cell imaging mass cytometry and various single-cell DNA/RNA sequencing methods (NGS). The knowledge gained from the project has important implications for the understanding of immunoediting, cancer-immune crosstalk and the further development of immunotherapies as a promising cancer therapy for patients.

Research institution(s)
  • SCRI-LIMCR GmbH (Salzburg Cancer Research Institute) - 100%
Project participants
  • Roland Geisberger, Gemeinnützige Salzburger Landeskliniken Betriebsgesellschaft mbH , national collaboration partner
  • Alexander Egle, SCRI-LIMCR GmbH (Salzburg Cancer Research Institute) , national collaboration partner
  • Richard Greil, SCRI-LIMCR GmbH (Salzburg Cancer Research Institute) , national collaboration partner
International project participants
  • Daniel Hebenstreit, University of Warwick

Research Output

  • 153 Citations
  • 12 Publications
  • 6 Datasets & models
  • 1 Medical Products
  • 3 Fundings
Publications
  • 2024
    Title Combined DNA Analysis from Stool and Blood Samples Improves Tumor Tracking and Assessment of Clonal Heterogeneity in Localized Rectal Cancer Patients.
    DOI 10.1177/15330338241252706
    Type Journal Article
    Author Gassner Fj
    Journal Technology in cancer research & treatment
    Pages 15330338241252706
  • 2025
    Title C to U RNA editing of MFN1 is regulated by ADARB1 and associates with favourable prognosis in chronic lymphocytic leukemia.
    DOI 10.1038/s41598-025-15666-6
    Type Journal Article
    Author Gassner Fj
    Journal Scientific reports
    Pages 29856
  • 2021
    Title Evidence for Non-Cancer-Specific T Cell Exhaustion in the Tcl1 Mouse Model for Chronic Lymphocytic Leukemia
    DOI 10.3390/ijms22136648
    Type Journal Article
    Author Parigger T
    Journal International Journal of Molecular Sciences
    Pages 6648
    Link Publication
  • 2021
    Title AID Contributes to Accelerated Disease Progression in the TCL1 Mouse Transplant Model for CLL
    DOI 10.3390/cancers13112619
    Type Journal Article
    Author Schubert M
    Journal Cancers
    Pages 2619
    Link Publication
  • 2021
    Title CAR T-Cell Therapy in Hematological Malignancies
    DOI 10.3390/ijms22168996
    Type Journal Article
    Author Haslauer T
    Journal International Journal of Molecular Sciences
    Pages 8996
    Link Publication
  • 2021
    Title A POLE Splice Site Deletion Detected in a Patient with Biclonal CLL and Prostate Cancer: A Case Report
    DOI 10.3390/ijms22179410
    Type Journal Article
    Author Steiner M
    Journal International Journal of Molecular Sciences
    Pages 9410
    Link Publication
  • 2021
    Title miRNA-Based Therapeutics in the Era of Immune-Checkpoint Inhibitors
    DOI 10.3390/ph14020089
    Type Journal Article
    Author Huemer F
    Journal Pharmaceuticals
    Pages 89
    Link Publication
  • 2022
    Title Detecting Bacterial–Human Lateral Gene Transfer in Chronic Lymphocytic Leukemia
    DOI 10.3390/ijms23031094
    Type Journal Article
    Author Akimova E
    Journal International Journal of Molecular Sciences
    Pages 1094
    Link Publication
  • 2022
    Title Validation of genetic variants from NGS data using Deep Convolutional Neural Networks
    DOI 10.1101/2022.04.12.488021
    Type Preprint
    Author Vaisband M
    Pages 2022.04.12.488021
    Link Publication
  • 2023
    Title Validation of genetic variants from NGS data using deep convolutional neural networks.
    DOI 10.1186/s12859-023-05255-7
    Type Journal Article
    Author Schubert M
    Journal BMC bioinformatics
    Pages 158
  • 2021
    Title Immune editing and oncogenic signaling convey treatment resistance in chronic lymphocytic leukemia
    Type PhD Thesis
    Author Thomas Parigger
  • 2022
    Title Tumour heterogeneity and immune skewing in chronic lymphocytic leukaemia
    Type Postdoctoral Thesis
    Author Zaborsky, Nadja
Datasets & models
  • 2023 Link
    Title Validation of genetic variants from NGS data using deep convolutional neural networks
    DOI 10.1186/s12859-023-05255-7
    Type Database/Collection of data
    Public Access
    Link Link
  • 2023 Link
    Title Deep Convolutional Neural Networks - genetic variant analysis
    DOI 10.1186/s12859-023-05255-7
    Type Computer model/algorithm
    Public Access
    Link Link
  • 2021 Link
    Title Evidence for Non-Cancer-Specific T Cell Exhaustion in the Tcl1 Mouse Model for Chronic Lymphocytic Leukemia
    DOI 10.3390/ijms22136648
    Type Database/Collection of data
    Public Access
    Link Link
  • 2024 Link
    Title Oncogenic MTOR Signaling Axis Compensates BTK Inhibition in a Chronic Lymphocytic Leukemia Patient with Richter Transformation
    DOI 10.1159/000537791
    Type Database/Collection of data
    Public Access
    Link Link
  • 2024 Link
    Title sj-xlsx-1-tct-10.1177_15330338241252706 - Supplemental material for Combined DNA Analysis from Stool and Blood Samples Improves Tumor Tracking and Assessment of Clonal Heterogeneity in Localized Rectal Cancer Patients
    DOI 10.25384/sage.25868489
    Type Database/Collection of data
    Public Access
    Link Link
  • 2024 Link
    Title sj-xlsx-2-tct-10.1177_15330338241252706 - Supplemental material for Combined DNA Analysis from Stool and Blood Samples Improves Tumor Tracking and Assessment of Clonal Heterogeneity in Localized Rectal Cancer Patients
    DOI 10.25384/sage.25868492
    Type Database/Collection of data
    Public Access
    Link Link
Medical Products
  • 2024 Link
    Title Combined DNA Analysis from Stool and Blood Samples Improves Tumor Tracking and Assessment of Clonal Heterogeneity in Localized Rectal Cancer Patients
    Type Diagnostic Tool - Non-Imaging
    Link Link
Fundings
  • 2024
    Title Smart Specialization Center, Immuno-oncology Strategies; Immuno-editing in cancer: Developing novel approaches to guide immune surveillance and immune escape
    Type Research grant (including intramural programme)
    Start of Funding 2024
    Funder Salzburg State
  • 2020
    Title Studying CLL-immune interactions
    Type Research grant (including intramural programme)
    Start of Funding 2020
    Funder Austrian Science Fund (FWF)
  • 2020
    Title Smart Specialization Center, Immuno-oncology Strategies; Immuno-editing in cancer: Developing novel approaches to guide immune surveillance and immune escape
    Type Research grant (including intramural programme)
    Start of Funding 2020
    Funder Salzburg State

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