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Cancer Stemness and Immunity, CSI

Submitted by SEA-EU_UALG on

Research Areas & Expertise

MEDICAL AND HEALTH SCIENCES

Omics, 

Genetic engineering, 

iPSC-derived organoid models

Principal Investigator

Mónica Teotónio Fernandes

mafernandes@ualg.pt

Mónica Teotónio Fernandes is an Assistant Professor at the Faculty of Medicine of the University of Algarve and Principal Investigator of the Cancer Stemness and Immunity Lab at the Algarve Biomedical Center Research Institute (ABC-Ri). She teaches Cell Biology, Microbiology, Human Genetics, and Immunology, combining academic training with active biomedical research. Her work focuses on cancer biology, particularly molecular prognostic biomarkers and therapeutic targets for brain tumors, as well as the development of stem cell-based disease models. She has extensive expertise in cellular and molecular biology, cancer epigenetics, cancer stem cells, and preclinical research. She has authored 22 scientific articles in international journals, three book chapters, and has received competitive funding and innovation awards.

PI bio

Mónica Teotónio Fernandes is an Assistant Professor at the Faculty of Medicine of the University of Algarve and Principal Investigator of the Cancer Stemness and Immunity Lab at the Algarve Biomedical Center Research Institute (ABC-Ri). She teaches Cell Biology, Microbiology, Human Genetics, and Immunology, combining academic training with active biomedical research. Her work focuses on cancer biology, particularly molecular prognostic biomarkers and therapeutic targets for brain tumors, as well as the development of stem cell-based disease models. She has extensive expertise in cellular and molecular biology, cancer epigenetics, cancer stem cells, and preclinical research. She has authored 22 scientific articles in international journals, three book chapters, and has received competitive funding and innovation awards.

Composition of Joint Unit of Research

The lab is composed of 1 PI, 2 PhD researchers, 2 PhD students, and 2 Master students.

PI name
Mónica Teotónio Fernandes
Short description of research profile

Our research focuses on understanding the molecular and cellular mechanisms that drive cancer stemness, with a particular emphasis on brain tumors. We investigate how cancer stem cell-like populations interact with the tumor microenvironment to promote tumor growth, invasion, metastasis, and resistance to therapy. By combining multi-omics, genetic engineering, iPSC-derived organoid models, and advanced imaging, our lab aims to identify novel biomarkers for personalized medicine and uncover new therapeutic targets. This work is supported by close collaborations with clinicians enabling access to patient-derived tumor samples and strengthening the translational relevance of our research.

Contact person
Mónica Teotónio Fernandes
Contact person e-mail
Technology Expertise

Omics, 

Genetic engineering, 

iPSC-derived organoid models

De Sousa-Coelho AL, Solaković B, Bento AD, Fernandes MT (2025) Drug Repurposing for Targeting Cancer Stem-like Cells in Glioblastoma. Cancers, 17(18), 2999.

https://doi.org/10.3390/cancers17182999

Fernandes MT, De Sousa-Coelho AL and Méndez-Lucas A (2025) Editorial: Advancing cancer therapy: innovative strategies targeting immune evasion and metabolic modulation. Front. Med. 12:1677300. 

https://doi.org/10.3389/fmed.2025.1677300

Fernandes MT, De Sousa-Coelho AL and Méndez-Lucas A (2025) Editorial: Advancing cancer therapy: innovative strategies targeting immune evasion and metabolic modulation. Front. Med. 12:1677300. 

https://doi.org/10.3389/fmed.2025.1677300

Cardoso C, Pestana D, Gokuladhas S, Marreiros AD, O'Sullivan JM, Binnie A, Fernandes MT, Castelo-Branco P (2024) “Identification of novel DNA methylation prognostic biomarkers for Acute Myeloid Leukemia with Normal Cytogenetics”. Clinical Cancer Informatics 8, e2300265.

https://doi.org/10.1200/CCI.23.00265

Apolonio JD, Dias J, Fernandes MT, Komosa M, Leao R, Zhang CH, Lipman T, Maia AT, Tabori U, Castelo-Branco P (2022) “THOR is a targetable epigenetic biomarker with clinical implications in breast cancer”. Clinical Epigenetics 14, 178.

https://doi.org/10.1186/s13148-022-01396-3

Size of the team
from 4 to 7
number of researchers
7
number of supporting staff
0
number of PhD students
2
Size of the team