Author

Elisabet Wieslander

Lund University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 1 Molecular Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:proteomics· 3 Research Focus:differential expression· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

György Marko‐VargaiD· 3 shared Jeovanis GiliD· 3 shared Johan MalmiD· 3 shared Letícia SzadaiiD· 3 shared Nicole WoldmariD· 3 shared Roger AppelqvistiD· 3 shared Henriett OskolásiD· 2 shared István Balázs NémethiD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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3 shared papersMolecular Biology

György Marko‐VargaORCID

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Author profile →

3 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

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