Author

C. M. Hovens

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 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1

Frequent Co-Authors

A. J. Costello· 2 shared A. T. Papenfuss· 2 shared N. M. Corcoran· 2 shared A. Gusev· 1 shared A. U. Kishan· 1 shared B. J. Pope· 1 shared B. Pal· 1 shared B. Pasaniuc· 1 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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2 shared papersCancer Biology

A. J. Costello

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Author profile →

3 papers

Recent·Most cited

Germline determinants of the prostate tumor genome

K. E. Houlahan, J. Yuan, T. Schwarz, J. Livingstone, N. S. Fox, W. Jaratlerdsiri, J. van Riet, K. Taraszka, N. Kurganovs, H. Zhu, J. Sietsma Penington, C.-H. Jung, T. N. Yamaguchi, J. Jiang, L. E. Heisler, , P. C. Boutros

The paper identifies germline-determined quantitative trait loci (dQTLs) that influence somatic mutational features in prostate cancer, revealing their impact on tumor epigenome, transcriptome, and proteome.

bioRxiv · Nov 16, 2022 · PreprintCancer Biology

Transcriptome sequencing and multi-plex imaging of prostate cancer microenvironment reveals a dominant role for monocytic cells in progression

S. Mangiola, P. McCoy, M. Modrak, F. S. F. Guimaraes, D. Blashki, R. Stuchbery, S. P. Keam, M. Kerger, K. Chow, C. Nasa, M. Le Page, N. Lister, S. Monard, J. Peters, P. Dundee, , C. M. Hovens

This study uses transcriptome sequencing and multiplex imaging to show that monocytic cells drive prostate cancer progression and immune modulation.

bioRxiv · Mar 16, 2020 · PreprintCancer Biology

SVclone: inferring structural variant cancer cell fraction

M. Cmero, C. S. Ong, K. Yuan, J. Schröder, K. Mo, PCAWG Evolution and Heterogeneity Working Group, N. M. Corcoran, A. T. Papenfuss, C. M. Hovens, F. Markowetz, G. Macintyre

SVclone infers cancer cell fractions of structural variant breakpoints from whole-genome sequencing data and identifies subclonal copy-number neutral rearrangements linked to decreased survival in certain cancers.

Nature Communications · Feb 5, 2020Peer-reviewedCancer Biology