Author

Letícia Szadai

Lund UniversityORCID 0000-0002-3605-839XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2 Molecular Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:proteomics· 4 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Elisabet Wieslander· 4 shared György Marko‐VargaiD· 4 shared Jeovanis GiliD· 4 shared Johan MalmiD· 4 shared Nicole WoldmariD· 4 shared Roger AppelqvistiD· 4 shared István Balázs NémethiD· 3 shared Aniel SáncheziD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersCancer Biology

Elisabet Wieslander

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4 papers

Recent·Most cited

From Routine Pathology to Precision Oncology: Automated FFPE Tissue Processing for Large-Scale Molecular Studies

Jéssica Guedes, Andrzej Sliwa-Gonzalez, Letícia Szadai, Philipp Geiger, Nicole Woldmar, Marisol Ayala Reyes, Ramiro Alonso-Bastida, Diana Lashidua Fernández Coto, Henriett Oskolás, Matilda Marko-Varga, Lesley Schultz, Roger Appelqvist, Elisabet Wieslander, Johan Malm, György Marko‐Varga, Jeovanis Gil

The paper develops an automated FFPE deparaffinization workflow to improve protein yield and reproducibility in melanoma studies.

bioRxiv · Aug 17, 2026 · PreprintMolecular Biology

Proteomics-Enhanced AI-Digital Pathology in Metastatic Mucinous Colorectal Carcinoma: A Case Report

Lívia Fülöp, Balazs Szigeti, Jéssica S. Guedes, Nicole Woldmar, Henriett Oskolás, Matilda Marko-Varga, Roger Appelqvist, Elisabet Wieslander, Krysztof Pawlowski, Letícia Szadai, Lukas Christersson, Johan Malm, István Balázs Németh, Marcell A. Szász, Jeovanis Gil, György Marko‐Varga

This study integrates digital pathology and proteomics to analyze metastatic mucinous colorectal carcinoma, revealing immune evasion and chemoresistance mechanisms through spatial multi-omics data.

bioRxiv · Mar 4, 2026 · PreprintPathology

Identifying Ferroptosis Inducers, HDAC, and RTK Inhibitor Sensitivity in Melanoma Subtypes through Unbiased Drug Target Prediction

Indira Plá, Botond L. Szabolcs, Petra Nikolett Péter, Zsuzsanna Újfaludi, Yonghyo Kim, Peter L. Horvatovich, Aniel Sánchez, Krzysztof Pawłowski, Elisabet Wieslander, Magdalena Kuras, Jimmy Rodriguez Murillo, Jéssica de Siqueira Guedes, D. M. Pal, Anna A. Ascsillán, Lazaro Hiram Betancourt, , Lajos Vince Kemény

This paper identifies potential drug targets and predicts treatment efficacy and resistance in melanoma subtypes using proteogenomic data and drug sensitivity analysis.

International Journal of Dermatology · Dec 25, 2024Peer-reviewedCancer Biology

Predicting immune checkpoint therapy response in three independent metastatic melanoma cohorts

Letícia Szadai, Áron Bartha, Indira Plá, Alexandra I.T. Lakatos, D. Pal, A. S. Lengyel, Natália Pinto de Almeida, Ágnes Judit Jánosi, Fábio César Sousa Nogueira, Beáta Szeitz, Viktória Doma, Nicole Woldmar, Jéssica de Siqueira Guedes, Zsuzsanna Újfaludi, Zoltán Gábor Páhi, , Aniel Sánchez

The paper identifies six proteins that predict response to immune checkpoint therapy across three melanoma cohorts and correlate with patient survival.

Frontiers in Oncology · Jul 2, 2024Peer-reviewedCancer Biology