Address
Im Neuenheimer Feld 400
69120 Heidelberg
Themen
Research
- Focus A
- A01: Targeting tumor cell network communication to overcome primary and adaptive resistance in glioblastoma
- A02: Development of a specific combination therapy for histone H3-mutant pediatric glioblastoma
- A03: Deciphering resistance against targeted treatments
- A04: Elucidating tumor-associated microglia interactions in astrocytomas CNS WHO-grade 4
- A05: Predictive biomarkers for MGMT-promoter-methylated glioblastoma (2019 – 2023)
- A06: Resistance mechanisms of glioblastoma against alkylating agents and radiotherapy
- A07: Mapping and targeting neuron-tumor networks to tackle therapy resistance in glioblastoma
- A08: Personalized glioblastoma treatment guided by patient-derived tumor organoids
Research
- Focus B
- B01: Mechanisms of response and resistance to glioma-specific t cells
- B02: DNA mis-match repair regulates immune checkpoint blockade therapy in glioblastoma (2019 – 2023)
- B03: Targeting immunosuppressive programs in isocitrate dehydrogenase mutant gliomas
- B04: Impact of myeloid cells on the adaptive immune response in newly diagnosed and recurrent glioblastomas
- B05: Dissecting the response of glioblastoma and its tumor microenvironment to focused high-dose radiotherapy (2019 – 2023)
- B06: Visualization and characterization of immune responses in H3K27M mutant gliomas
Research
- Focus C
- C01: Comprehensive preclinical pharmacology testing of drugs used for glioblastoma treatment
- C02: Radiomics, radiogenomics and deep-learning in neurooncology
- C03: Imaging immune signatures of glioma response and resistance towards immunotherapy (2019 – 2023)
- C04: Metabolic signaling in glioblastoma: a spatial multi-omics approach
- C05: Overcoming glioma radio-resistance with particle therapy
- C06: Functional characterization of EGFR structural variants associated with long-term survival in glioblastoma, IDH-WT

Newsletter 02/2024
NEWSLETTERDear Members and Friends of UNITE,
We are happy to provide you with our 2nd UNITE Newsletter today!
The start of our second funding phase was less than a year ago, but we can already look back on many scientific and personal highlights. We are excited to share some of these with you today.
Moreover, we will give you an overview of upcoming workshops and UNITE Events and provide further information on the UNITE travel grants. Stay tuned and enjoy reading the UNITE Spring Edition of our Newsletter!
Best wishes,
The UNITE Project Management Team
UNITE_Newsletter_2
A CLINICALLY APPLICABLE CONNECTIVITY SIGNATURE FOR GLIOBLASTOMA INCLUDES THE TUMOR NETWORK DRIVER CHI3L1
RESEARCHResearch findings related to UNITE work package A03
Tumor microtubes (TMs) connect glioma cells to a network with considerable relevance for tumor progression and therapy resistance. However, the determination of TM-interconnectivity in individual tumors is challenging and the impact on patient survival unresolved. Here, we establish a connectivity signature from single-cell RNA-sequenced (scRNA-Seq) xenografted primary glioblastoma (GB) cells using a dye uptake methodology, and validate it with recording of cellular calcium epochs and clinical correlations. Astrocyte-like and mesenchymal-like GB cells have the highest connectivity signature scores in scRNA-sequenced patient-derived xenografts and patient samples. In large GB cohorts, TM-network connectivity correlates with the mesenchymal subtype and dismal patient survival. CHI3L1 gene expression serves as a robust molecular marker of connectivity and functionally influences TM networks. The connectivity signature allows insights into brain tumor biology, provides a proof-of-principle that tumor cell TM-connectivity is relevant for patients’ prognosis, and serves as a robust prognostic biomarker.
Link to Publication
AUTONOMOUS RHYTHMIC ACTIVITY IN GLIOMA NETWORKS DRIVES BRAIN TUMOR GROWTH
RESEARCHResearch findings related to UNITE work package A01
Diffuse gliomas, particularly glioblastomas, are incurable brain tumours. They are characterized by networks of interconnected brain tumour cells that communicate via Ca2+ transients. However, the networks’ architecture and communication strategy and how these influence tumour biology remain unknown. Here we describe how glioblastoma cell networks include a small, plastic population of highly active glioblastoma cells that display rhythmic Ca2+ oscillations and are particularly connected to others. Their autonomous periodic Ca2+ transients preceded Ca2+ transients of other network-connected cells, activating the frequency-dependent MAPK and NF-κB pathways. Mathematical network analysis revealed that glioblastoma network topology follows scale-free and small-world properties, with periodic tumour cells frequently located in network hubs. This network design enabled resistance against random damage but was vulnerable to losing its key hubs. Targeting of autonomous rhythmic activity by selective physical ablation of periodic tumour cells or by genetic or pharmacological interference with the potassium channel KCa3.1 (also known as IK1, SK4 or KCNN4) strongly compromised global network communication. This led to a marked reduction of tumour cell viability within the entire network, reduced tumour growth in mice and extended animal survival. The dependency of glioblastoma networks on periodic Ca2+ activity generates a vulnerability that can be exploited for the development of novel therapies, such as with KCa3.1-inhibiting drugs.
LINK TO PUBLICATION
CANCER NEUROSCIENCE: STATE OF THE FIELD, EMERGING DIRECTIONS
RESEARCHResearch findings related to UNITE work package A01
The nervous system governs both ontogeny and oncology. Regulating organogenesis during development, maintaining homeostasis, and promoting plasticity throughout life, the nervous system plays parallel roles in the regulation of cancers. Foundational discoveries have elucidated direct paracrine and electrochemical communication between neurons and cancer cells, as well as indirect interactions through neural effects on the immune system and stromal cells in the tumor microenvironment in a wide range of malignancies. Nervous system-cancer interactions can regulate oncogenesis, growth, invasion and metastatic spread, treatment resistance, stimulation of tumor-promoting inflammation, and impairment of anti-cancer immunity. Progress in cancer neuroscience may create an important new pillar of cancer therapy.
LINK TO PUBLICATION
PROGNOSTIC MARKERS OF DNA METHYLATION AND NGS SEQUENCING IN PROGRESSIVE GLIOBLASTOMA FROM THE EORTC-26101 TRIAL
RESEARCHResearch findings related to UNITE work package A01
The EORTC-26101 study was a randomized phase II and III clinical trial of bevacizumab in combination with lomustine versus lomustine alone in progressive glioblastoma. Other than for progression-free survival (PFS), there was no benefit from addition of bevacizumab for overall survival (OS). However, molecular data allow for the rare opportunity to assess prognostic biomarkers from primary surgery for their impact in progressive glioblastoma. We analyzed DNA methylation array data and panel sequencing from 170 genes of 380 tumor samples of the EORTC-26101 study. These patients were comparable with the overall study cohort in regard to baseline characteristics, study treatment, and survival. Of patients’ samples, 295/380 (78%) were classified into one of the main glioblastoma groups, receptor tyrosine kinase (RTK)1, RTK2 and mesenchymal. There were 10 patients (2.6%) with isocitrate dehydrogenase mutant tumors in the biomarker cohort. Patients with RTK1 and RTK2 classified tumors had lower median OS compared with mesenchymal (7.6 vs. 9.2 vs. 10.5 months). O6-methylguanine DNA-methyltransferase (MGMT) promoter methylation was prognostic for PFS and OS. Neurofibromin (NF)1 mutations were predictive of response to bevacizumab treatment. Thorough molecular classification is important for brain tumor clinical trial inclusion and evaluation. MGMT promoter methylation and RTK1 classifier assignment were prognostic in progressive glioblastoma. NF1 mutation may be a predictive biomarker for bevacizumab treatment.
LINK TO PUBLICATION