Author

G. Sauter

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· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:clustering· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

H. Schiffmann· 2 shared A. Marx· 1 shared A. Woolston· 1 shared B. Challoner· 1 shared B. Griffiths· 1 shared C. Fraune· 1 shared C. Gerhauser· 1 shared C. Hube-Magg· 1 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

H. Schiffmann

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2 papers

Recent·Most cited

Extreme intratumour heterogeneity and driver evolution in mismatch repair deficient gastro-oesophageal cancer

K. von Loga, A. Woolston, M. Punta, L. J. Barber, B. Griffiths, M. Semiannikova, G. J. Spain, B. Challoner, K. Fenwick, H. Schiffmann, A. Marx, G. Sauter, S. Lise, N. Matthews, M. Gerlinger

This study investigates the evolution of mismatch repair deficient gastro-oesophageal cancers using multi-region exome sequencing, revealing extreme intratumour heterogeneity and key genetic events.

bioRxiv · Sep 2, 2019Cancer Biology

Random forest-based modelling to detect biomarkers for prostate cancer progression

R. Toth, H. Schiffmann, C. Hube-Magg, F. Büscheck, D. Höflmayer, S. Weidemann, P. Lebok, C. Fraune, S. Minner, T. Schlomm, G. Sauter, C. Plass, Y. Assenov, R. Simon, J. Meiners, C. Gerhauser

This study uses a random forest model to identify DNA methylation biomarkers for prostate cancer progression, finding ZIC2 expression loss as an independent prognostic marker.

bioRxiv · Apr 8, 2019Cancer Biology