Author

M. Cmero

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 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1

Frequent Co-Authors

F. Markowetz· 3 shared G. Macintyre· 3 shared K. Yuan· 3 shared C. Jolly· 2 shared D. G. Livitz· 2 shared D. Rosebrock· 2 shared G. Getz· 2 shared H. Zhu· 2 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

F. Markowetz

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3 papers

Recent·Most cited

Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

S. C. Dentro, I. Leshchiner, K. Haase, M. Tarabichi, J. Wintersinger, A. G. Deshwar, K. Yu, Y. Rubanova, G. Macintyre, J. Demeulemeester, I. Vazquez-Garcia, K. Kleinheinz, D. G. Livitz, S. Malikic, N. Donmez, , Q. D. Morris

This study characterizes intra-tumor heterogeneity across 2,658 human cancer genomes, identifying subclonal mutations and evolutionary patterns across 38 cancer types.

Cell · Apr 1, 2021Peer-reviewedCancer 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

The evolutionary history of 2,658 cancers

M. Gerstung, C. Jolly, I. Leshchiner, S. C. Dentro, S. Gonzalez Rosado, D. Rosebrock, T. J. Mitchell, Y. Rubanova, P. Anur, K. Yu, M. Tarabichi, A. Deshwar, J. Wintersinger, K. Kleinheinz, I. Vazquez-Garcia, , Spellman

This study uses whole-genome sequencing of cancer samples to reconstruct the evolutionary history of 39 cancer types, identifying early and late-stage mutational patterns and driver genes.

bioRxiv · Sep 12, 2018Cancer Biology