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Projects / Programmes source: ARIS

Identification of gamma delta T cell fitness determinants for cancer immunotherapy by their immunoprofiling in patients with immune-mediated diseases

Research activity

Code Science Field Subfield
3.04.00  Medical sciences  Oncology   

Code Science Field
3.02  Medical and Health Sciences  Clinical medicine 
Keywords
Cancer, Immunotherapy, Cell therapy, CAR T cells, Chimeric Antigen Receptors, Gamma delta T cells, Inducible expression, Lentiviral vectors, Gene-engineered immune cells, CD19, HER2, Hematologic malignancies, Solid tumors, CAR T cell dysfunction, Atopic dermatitis, Inborn errors of immunity, γδ T
Evaluation (metodology)
source: COBISS
Points
5,071.89
A''
729
A'
2,718.55
A1/2
3,939.05
CI10
13,305
CImax
498
h10
54
A1
18.42
A3
1.75
Data for the last 5 years (citations for the last 10 years) on October 15, 2025; Data for score A3 calculation refer to period 2020-2024
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  384  9,851  9,220  24.01 
Scopus  364  11,576  10,839  29.78 
Organisations (2) , Researchers (22)
0105  National Institute of Biology
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  39112  PhD Katja Leben Zupet  Biotechnology  Researcher  2025  20 
2.  32113  PhD Jelka Pohar  Biotechnology  Researcher  2023 - 2025  109 
3.  33201  PhD Anže Smole  Biotechnology  Head  2023 - 2025  90 
0312  University Medical Centre Ljubljana
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  19258  PhD Tadej Avčin  Human reproduction  Researcher  2023 - 2025  511 
2.  15657  PhD Maruša Debeljak  Oncology  Researcher  2023 - 2025  272 
3.  54522  Nina Emeršič  Human reproduction  Researcher  2023 - 2025  36 
4.  30143  Mateja Hren    Technical associate  2023 - 2025  18 
5.  35356  PhD Barbara Jenko Bizjan  Medical sciences  Researcher  2023 - 2025  91 
6.  34915  Anja Koren Jeverica  Microbiology and immunology  Researcher  2023 - 2025  62 
7.  32181  PhD Jernej Kovač  Medical sciences  Researcher  2023 - 2024  246 
8.  60404  Snežana Lučić    Technical associate  2025 
9.  56471  Robert Mak    Technical associate  2023 - 2025 
10.  29593  Gašper Markelj  Microbiology and immunology  Researcher  2023 - 2025  98 
11.  56109  Martina Pliberšek    Technical associate  2023 - 2025 
12.  33735  PhD Neja Šamec  Medical sciences  Researcher  2025  90 
13.  37426  PhD Robert Šket  Human reproduction  Researcher  2023 - 2025  88 
14.  56125  Anja Škrbec    Technical associate  2023 - 2024 
15.  37490  PhD Tine Tesovnik  Human reproduction  Researcher  2023 - 2025  87 
16.  28571  PhD Nataša Toplak  Microbiology and immunology  Researcher  2023 - 2025  195 
17.  20128  PhD Alenka Trampuš Bakija  Cardiovascular system  Researcher  2023 - 2025  139 
18.  29810  Tina Vesel Tajnšek  Microbiology and immunology  Researcher  2023 - 2025  77 
19.  50227  PhD Mojca Zajc Avramovič  Human reproduction  Researcher  2023 - 2025  65 
Abstract
Chimeric Antigen Receptor (CAR)-T cell therapy is a clinically approved cancer immunotherapy approach using genetically engineered T cells. It represents a paradigm shift in the treatment of certain blood cancers that do not respond to other available treatment options. Currently clinically approved CAR-T cells are generated from autologous (patient's own) T cells and focused on αβ T cell subsets. The success of CAR-T cells has been met with challenges regarding efficacy, safety, and broad availability. One approach to address this issue is to use alternative immune cells to generate CAR-T cells. In our research group, we became interested in γδ T cells because of their unique properties, such as their antitumor activity independent of conventional major histocompatibility complex (MHC)-mediated antigen processing, and presentation and the combination of functions characteristic of T cells, NK cells, and antigen-presenting cells. Although γδ T cells have proven to be very attractive effectors for the generation of CAR-T cells for cancer immunotherapy, their efficacy may be limited in some instances. One example is shorter persistence and limited function compared with αβ CAR-T cells that were observed in one model. This led us to hypothesize that intrinsic functions and dysfunctions might be the key factor for the successful γδ CAR-T cell approach. Compared with αβ CAR-T cells, the key determinants that define successful therapeutic outcomes are much less known in γδ CAR-T cells. This problem needs to be addressed to unlock the potential of γδ CAR-T cells as a platform that can act in settings where αβ CAR-T cells have limited activity. The clinical partners on this project observed a large increase in the frequency of γδ T cells in the peripheral blood of certain patients with atopic dermatitis (AD) and inborn errors of immunity (IEI). This unusual finding inspired us to explore the mechanisms leading to the increase in frequency, which could be pathological in the context of AD and IEI but is unique from the perspective of γδ T cell biology. We hypothesize that by studying γδ T cells in this unique patient cohort, we can gain new insights into γδ T cell biology to develop γδ CAR-T cell products with improved functionality and persistence for the treatment of cancer. In addition, this avenue will allow us to investigate the potential links between the pathological manifestation of increased γδ T cell frequency in AD and IEI, which could improve the identification, monitoring, and treatment of these diseases. Our project is divided into three objectives: In the first objective, we will conduct a clinical study in pediatric patients with AD and IEI in whom an increased frequency of γδ T cells is observed. We will develop and validate a comprehensive spectral flow cytometry panel to characterize their immunophenotypes. In the second objective, we will apply this flow cytometry panel to examine circulating immunophenotypes of γδ T cells and identify determinants associated with increased frequency. We will then perform RNA sequencing of isolated γδ T cells to better understand the mechanisms underlying increased frequency. As a third objective, we will evaluate the fitness and function of γδ CAR-T cells generated from patient-derived γδ T cells.
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