Author

S. Sleijfer

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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Organism:human· 3 Assay:whole-genome sequencing· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

E. Cuppen· 3 shared H. J. G. van de Werken· 2 shared M. Labots· 2 shared M. P. Lolkema· 2 shared N. Steeghs· 2 shared P. Hamberg· 2 shared A. A. M. van der Veldt· 1 shared A. Beeker· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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3 shared papersCancer Biology

E. Cuppen

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genomic and transcriptomic landscape of advanced renal cell cancer to individualize treatment strategy

K. de Joode, W. S. van de Geer, G. J. L. H. van Leenders, P. Hamberg, H. M. Westgeest, A. Beeker, S. F. Oosting, J. M. van Rooijen, L. V. Beerepoot, M. Labots, R. H. J. Mathijssen, M. P. Lolkema, E. Cuppen, S. Sleijfer, H. J. G. van de Werken, A. A. M. van der Veldt

This study uses genomic and transcriptomic data from advanced renal cell cancer patients to identify actionable mutations and immune signatures to guide personalized treatment strategies.

Scientific Reports · Jul 3, 2023Peer-reviewedCancer Biology

The genomic landscape of metastatic castration-resistant prostate cancers reveals multiple distinct genotypes with potential clinical impact

L. F. van Dessel, J. van Riet, M. Smits, Y. Zhu, P. Hamberg, M. S. van der Heijden, A. M. Bergman, I. M. van Oort, R. de Wit, E. E. Voest, N. Steeghs, T. N. Yamaguchi, J. Livingstone, P. C. Boutros, J. W. M. Martens, , M. P. Lolkema

This study uses whole-genome sequencing to identify four distinct genotypes in metastatic castration-resistant prostate cancers, with potential clinical implications for patient stratification.

bioRxiv · Oct 7, 2019Cancer Biology

Pan-cancer whole genome analyses of metastatic solid tumors

P. Priestley, J. Baber, M. Lolkema, N. Steeghs, E. de Bruijn, K. Duyvesteyn, S. Haidari, A. van Hoeck, W. Onstenk, P. Roepman, C. Shale, M. Voda, H. Bloemendal, V. Tjan-Heijnen, C. van Herpen, , E. Cuppen

This study analyzes whole genome sequences of metastatic solid tumors to identify genetic variants that may influence treatment outcomes.

bioRxiv · Aug 12, 2019 · PreprintCancer Biology