Author

M. Labots

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1

Frequent Co-Authors

E. Cuppen· 2 shared S. Sleijfer· 2 shared A. A. M. van der Veldt· 1 shared A. Beeker· 1 shared A. van Hoeck· 1 shared C. Shale· 1 shared C. van Herpen· 1 shared E. de Bruijn· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersCancer Biology

E. Cuppen

Mutual co-authors in cluster

Author profile →

2 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

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