Author

E. Szczurek

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· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:whole-exome sequencing· 2 Assay:DNA methylation· 1

Frequent Co-Authors

S. Darvish Shafighi· 2 shared A. Carbone· 1 shared A. Geras· 1 shared A. Sahaf Naeini· 1 shared B. Jurzysta· 1 shared B. Klink· 1 shared C. A. M. v. Bergen· 1 shared C. Engblom· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

S. Darvish Shafighi

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3 papers

Recent·Most cited

Tumoroscope: a probabilistic model for mapping cancer clones in tumor tissues

S. Darvish Shafighi, A. Geras, B. Jurzysta, A. Sahaf Naeini, I. Filipiuk, L. Raczkowski, H. Toosi, L. Koperski, K. Thrane, C. Engblom, J. Mold, X. Chen, J. Hartman, D. Nowis, A. Carbone, , E. Szczurek

Tumoroscope maps cancer clones in tumor tissues by integrating spatial transcriptomics, whole exome sequencing, and pathological images to reveal spatial patterns and clone-specific gene expression.

bioRxiv · Sep 22, 2022 · PreprintCancer Biology

CACTUS: integrating clonal architecture with genomic clustering and transcriptome profiling of single tumor cells

S. Darvish Shafighi, S. M. Kiełbasa, J. Sepulveda-Yanez, R. Monajemi, D. Cats, H. Mei, R. Menafra, S. Kloet, H. Veelken, C. A. M. v. Bergen, E. Szczurek

CACTUS integrates genomic and transcriptomic data to map single tumor cells to their clonal origins, improving accuracy in follicular lymphoma by combining exome, RNA-seq, and B-cell receptor sequencing.

bioRxiv · Jun 5, 2020Cancer Biology

A stochastic model of metastatic bottleneck predicts patient outcome and therapy response

E. Szczurek, T. Krueger, B. Klink, N. Beerenwinkel

The paper develops a stochastic model of metastatic bottleneck to predict patient outcomes and therapy response, showing that interventions targeting the bottleneck are more effective than reducing overall tumor burden.

bioRxiv · Jun 15, 2018Cancer Biology