PartnershipUpdated on 11 December 2025
Investigate immuno-landscape in adenocarcinoma of the gastroesophageal junction (AEG)
PI at Medical University of Vienna (MUV, Upper-GI Research Group at the Dept. of General Surgery
Vienna, Austria
About
Adenocarcinoma of the gastroesophageal junction (AEG) is an aggressive malignancy with rising incidence worldwide. Despite advances in surgical techniques and systemic therapies, patient outcomes remain limited, highlighting the need for a deeper understanding of tumor biology. One key factor influencing disease progression and treatment response is the tumor immune microenvironment. The immuno-landscape of AEG—including the composition, spatial distribution, and functional status of immune cells—plays a crucial role in tumor growth, metastasis, and response to therapy, particularly emerging immuno-oncology approaches.
Our research focuses on characterizing the immune microenvironment in AEG using a combination of histopathology, immunohistochemistry, molecular profiling, and bioinformatic analysis. We aim to identify key immune cell populations, checkpoint molecule expression, and inflammation-related biomarkers that correlate with clinical outcomes. By mapping tumor–immune interactions and defining immune phenotypes, this work seeks to uncover prognostic indicators and potential therapeutic targets. Ultimately, understanding the immuno-landscape in AEG will support the development of personalized immuno-oncology strategies, improve patient stratification for therapy, and contribute to more effective management of this challenging malignancy.
Looking for
- Donor institution with a ready PM approach
- Hospital/medical centre
- Research organisation
- Company/SME
Organisation
Medical University of Vienna (MUV, Upper-GI Research Group at the Dept. of General Surgery
Hospital/medical centre
Vienna, Austria
Similar opportunities
Expertise
Citogenetics and Functional Genomics
- Receiver institution with a need to adopt a PM approach
- Clinical decision support systems for personalised medicine
- Personalised treatment pathways (tailored therapies, precision dosing)
- Patient management systems (decision-support tools, clinical workflows)
- Screening & early detection programs (risk stratification, predictive tools)
- Adaptation of care pathways for PM (embedding new tests/therapies into routine care)
Inês Costa
Research Manager at Universidade de Coimbra - Faculdade de Coimbra
Coimbra, Portugal
Expertise
Offering expertise of the group of Prof. Markus Scholz
- Clinical decision support systems for personalised medicine
- Theranostics (combined diagnostic + therapeutic approaches)
- Diagnostic tools (biomarkers, genetic tests, companion diagnostics)
- Personalised treatment pathways (tailored therapies, precision dosing)
- Screening & early detection programs (risk stratification, predictive tools)
Peter Ahnert
Senior Scientist at Leipzig University - Medical Faculty - IMISE
Leipzig, Germany
Expertise
Advancing Personalized Medicine Through Integrative Research and Clinical Excellence
- Receiver institution with a need to adopt a PM approach
- Clinical decision support systems for personalised medicine
- Theranostics (combined diagnostic + therapeutic approaches)
- Diagnostic tools (biomarkers, genetic tests, companion diagnostics)
- Personalised treatment pathways (tailored therapies, precision dosing)
- Patient management systems (decision-support tools, clinical workflows)
- Partial adoption of a PM solution (testing selected modules/components)
- Tools for secure data sharing & secondary use (pseudonymisation, FAIR data)
- Screening & early detection programs (risk stratification, predictive tools)
- Recovery & follow-up support systems (digital monitoring, apps, telemedicine)
- Cultural/organisational change approaches (staff training, workflow redesign)
- Data integration & interoperability solutions (EHRs, registries, data platforms)
- Standardisation & evaluation methodologies (protocols, metrics, QA/QC processes)
- Adaptation of care pathways for PM (embedding new tests/therapies into routine care)
- Patient engagement & empowerment strategies (self-management tools, shared decision-making)
- Adaptation of an existing PM solution to local context (language, IT environment, regulations)
- Initiating implementation of a PM solution (pilot site setup, proof-of-concept in clinical practice)
Inês Costa
Research Manager at Universidade de Coimbra - Faculdade de Coimbra
Coimbra, Portugal