Research

The response to therapy shows great variation among cancer patients, even when patients are diagnosed with the same type of cancer. The main reason is that no two tumors are the same; tumors are composed of many different cell types and the specific composition and functioning of a tumor affects the response to treatment. By viewing tumors as complex systems, the use of mathematical models can help to better describe and understand the relationship between composition of the tumor and its behavior. Using clinical data and knowledge of cancer biology, we develop such models to study what determines a tumor's response to treatment. These insights may help to improve cancer drugs and increase the chances of the positive response to treatment.

In our group we take a multidisciplinary and holistic approach to provide a functional understanding of drugs response in the tumor microenvironment to improve precision oncology.

Predictive biomarkers from functional analysis of static data

Spatial multicellular models

Diagnostic and prognostic biomarkers from liquid biopsies

Mechanistic models from functional perturbation data

Selected publications

Full list of publications can be be found here or in Google Scholar.

Integrating histopathology and transcriptomics for spatial tumor microenvironment profiling in a melanoma case study

Ó. Lapuente-Santana$, J. Kant$, F. Eduati. npj Precision Oncology, 2024. ($ co-first authors)

Multimodal analysis unveils tumor microenvironment heterogeneity linked to immune activity and evasion

Ó. Lapuente-Santana$, G. Sturm$, J. Kant, M. Ausserhofer, C. Zack, M. Zopoglou, N. McGranahan, D. Rieder, Z. Trajanoski, N. F. d C. C. de Miranda, F. Eduati#, F. Finotello#. iScience, 2024. ($ co-first authors, # co-last authors)

Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties

M. van Genderen$, J. Kneppers$, A. Zaalberg$, E. Bekers, A. M. Bergman#, W. Zwart#, F. Eduati#. npj Systems Biology and Applications, 2024. ($ co-first authors, # co-last authors)

Bilayer microfluidic device for combinatorial plug production

M. Yelleswarapu, S. Spinthaki, T. F. A. de Greef, F. Eduati. JoVE. 2023.

Mathematically mapping the network of cells in the tumor microenvironment

M. van Santvoort, Ó. Lapuente-Santana, F. Finotello, P. van der Hoorn#, F. Eduati#. bioRxiv. 2023. (# co-last authors)

Exploring the onset and progression of prostate cancer through a multicellular agent-based model

M. Passier, M. van Genderen, A. Zaalberg, J. Kneppers, E. Bekers, A. M. Bergman#, W. Zwart#, F. Eduati#. Cancer Research Communications. CRC-23-0097, 2023. (# co-last authors)

Liquid biopsy-based decision support algorithms for diagnosis and subtyping of lung cancer

E. Visser$, S. A.A.M. Genet$, R. P.P.A. de Kock, B. E.E.M. van den Borne, M. Youssef-El Soud, H. N.A. Belderbos, G. Stege, M. E.A. de Saegher, S. C. van 't Westeinde, L. Brunsveld, M. A. C. Broeren, D. van de Kerkhof, B. A.L.M. Deiman, F. Eduati#, V. Scharnhorst#. Lung Cancer. 178, 28-36, 2023. ($ co-first authors, # co-last authors)

Technological and computational advances driving high-throughput oncology

L. Kolmar$, A. Autour$, X. Ma, B. Vergier, F. Eduati#, C. A. Merten#. Trends in Cell Biology, 32(11), 847-961, 2022. ($ co-first authors, # co-last authors)

Interpretable systems biomarkers predict response to immune-checkpoint inhibitors

Ó. Lapuente-Santana, M. van Genderen, P. A. J. Hilbers, F. Finotello, F. Eduati. Patterns, 2(8), 100293. 2021.

Toward Systems Biomarkers of Response to Immune Checkpoint Blockers

Ó. Lapuente-Santana, F. Eduati. Frontiers in Oncology, 10:1027. 2020.

Patient-specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies

F. Eduati, P. Jaaks, J. Wappler, T. Cramer, C. A. Merten, M. J. Garnett, J. Saez-Rodriguez. Molecular Systems Biology, 16(2),e8664. 2020.

A microfluidics platform for combinatorial drug screening on cancer biopsies.

F. Eduati$, R. Utharala$, D. Madhavan, U.P. Neumann, T. Longerich, T. Cramer, J. Saez- Rodriguez#., C. Merten#. Nature Communications, 9(1):2434, 2018. ($ co-first authors, # co-last authors)

Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology.

F. Finotello, F. Eduati. Frontiers in Oncology, 8, 1–9. 2018.

Drug resistance mechanisms in colorectal cancer dissected with cell type-specific dynamic logic models.

F. Eduati, V. Doldàn-Martelli, B. Klinger, T. Cokelaer, A. Sieber, F. Kogera, M. Dorel, M. J. Garnett, N. Blüthgen#, J. Saez-Rodriguez#. Cancer Research, 77(12):3364-3375, 2017. (# co-last authors)

Prediction of human population responses to toxic compounds by a collaborative competition.

F. Eduati$, L. M. Mangravite$, T. Wang*, H. Tang*, J. C. Bare, R. Huang, T. Norman, M. Kellen, M. P. Menden, J. Yang, X. Zhan, R. Zhong, G. Xiao, M. Xia, N. Abdo, O. Kosyk, The NIEHS-NCATS-UNC DREAM Collaboration, S. Friend, A. Dearry, A. Simeonov, R. R. Tice, I. Rusyn, F. A. Wright, G. Stolovitzky, Y. Xie, and J. Saez-Rodriguez. Nature Biotechnology, 733(9):933-940, 2015. ($ co-first authors)

Team members

Group Leader

Federica Eduati

Since 2018 Assistant professor, Eindhoven University of Technology, NL
2013-2017 Postdoc, European Molecular Biology Laboratory (EMBL), DE & UK
2013 PhD in Bioengineering, University of Padova, IT
2008 MSc in Bioengineering, University of Padova, IT

Research interests: Systems approaches to precision and personalised medicine in oncology. Personal page at TU/e.

Postdoc

Maaruthy Yelleswarapu

Since 2018 Postdoc, Eindhoven University of Technology, NL
2019-2021 Postdoc, Rijksuniversiteit Groeningen, NL
2019 PhD in Physical Organic Chemistry, Radboud University, NL
2012 MSc in Biotechnology, ETH Zurich, CH

Research project: Developing a microfluidic platform for the combinatorial screening of cancer biopsies to elucidate tumor-mediated response to drugs.

PhD students

Esther Visser

Since 2020 PhD student, Catharina Hospital & Eindhoven University of Technology, NL
2020 MSc in Medical Engineering, Eindhoven University of Technology, NL

Research project: Analyzing the clinical applicability of tumor markers in the diagnosis and treatment response evaluation of lung cancer patients.

Mike van Santvoort

Since 2021 PhD student, Eindhoven University of Technology, NL
2020 MSc in Industrial and Applied Mathematics, Eindhoven University of Technology, NL

Research project: Designing and analyzing random graph models for reconstruction of cell-cell interaction networks to understand differences in and between tumors.

Glenn Weber

Since 2023 PhD student, Eindhoven University of Technology, NL
2022 MSc in Systems Biology, Maastricht University, NL

Research project: Mechanistic understanding of tumor response to drugs from perturbation trascriptomics data.

Hao Cao

Since 2023 PhD student, Catharina Hospital & Eindhoven University of Technology, NL
2022 MSc in Medical Engineering, Eindhoven University of Technology, NL

Research project: Implementation of up-front ctDNA analysis into lung cancer care and development of liquid biopsy-based decision support models.

Bi-rong Wang

Since 2024 PhD student, Eindhoven University of Technology, N
2024 MSc in Biomedical Engineering, Eindhoven University of Technology, NL

Research project: Multiscale modeling of regulatory mechanisms in the tumor microenvironment.

MS students

Jolien Marcelis

Research project: Studying the effect of anticancer drugs on PD-L1 expression.

Eline Vos

Research project: Revealing the spatial context of the TME using pathology slides and transcriptomics

Wafae Quorsane

Research project: Integrating imaging and liquid biopsies for lung cancer diagnosis.

Alumni

Year(s) Name Position
2018-2023 Óscar Lapuente-Santana Erasmus student (2018), PhD student (2019-2023)
2022 Sofia Spinthaki Internship (Erasmus+)
2021-2022 Joan Kant Master thesis
2021-2022 Max Joosten Master thesis
2021-2022 Max de Rooij Master thesis
2020-2021 Margot Passier Master thesis
2020-2021 Roy van Mierlo Internship
2019-2020 Maisa van Genderen Master thesis
2018 Kees van Dorp Internship

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