Studying CLL-immune interactions
Studying CLL-immune interactions
Disciplines
Computer Sciences (20%); Clinical Medicine (20%); Medical-Theoretical Sciences, Pharmacy (60%)
Keywords
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CLL and TCL1 mouse model,
Immune Interactions,
Clonal Dynamics,
Tumor-Specific T Cells,
Immune Checkpoint Therapies,
Anti-Cancer Immunity
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.
- SCRI-LIMCR GmbH (Salzburg Cancer Research Institute) - 100%
- 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
Research Output
- 153 Citations
- 12 Publications
- 6 Datasets & models
- 1 Medical Products
- 3 Fundings
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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
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2023
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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
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Title Deep Convolutional Neural Networks - genetic variant analysis DOI 10.1186/s12859-023-05255-7 Type Computer model/algorithm Public Access Link Link -
2021
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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
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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
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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
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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
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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