Author

M. Roncador

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 Research Focus:cancer & tumor microenvironment· 2 Research Focus:chromatin & epigenetic regulation· 2 Research Focus:clustering· 2 Approach:genetic perturbation / CRISPR· 2 Assay:whole-genome sequencing· 2 Assay:clinical cohort / trial· 1

Frequent Co-Authors

M. K. Samur· 2 shared A. Fullam· 1 shared B. Rodriguez-Martin· 1 shared C. Chakraborty· 1 shared C. Liao· 1 shared D. C. Wedge· 1 shared D. Glodzik· 1 shared D. Leongamornlert· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

M. K. Samur

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3 papers

Recent·Most cited

Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies

F. Bayer, M. Roncador, G. Moffa, K. Morita, K. Takahashi, N. Beerenwinkel, J. Kuipers

The paper identifies novel subgroups in myeloid malignancies using a network-based clustering approach that integrates genomic and clinical features, improving prognostic accuracy.

bioRxiv · Oct 25, 2023Cancer Biology

Integrated genomics and comprehensive validation reveal novel drivers of genomic evolution in esophageal adenocarcinoma

s. kumar, L. Buon, S. Talluri, M. Roncador, C. Liao, J. Zhao, J. Shi, C. Chakraborty, G. B. Gonzalez, Y.-T. Tai, R. Prabhala, M. K. Samur, N. C. Munshi, M. A. Shammas

The paper identifies a genomic instability gene signature linked to poor survival in esophageal adenocarcinoma and validates its role in tumor growth and genomic instability.

bioRxiv · Apr 23, 2020Cancer Biology

Genomic landscape and chronological reconstruction of driver events in multiple myeloma

F. Maura, N. Bolli, N. Angelopoulos, K. J. Dawson, D. Leongamornlert, I. Martincorena, T. J. Mitchell, A. Fullam, S. Gonzalez, R. Szalat, B. Rodriguez-Martin, M. K. Samur, D. Glodzik, M. Roncador, M. Fulciniti, , P. J. Campbell

This study reconstructs the genomic evolution of multiple myeloma by analyzing 67 genomes from 30 patients and public datasets, identifying 7 subgroups defined by distinct driver mutations and chronological patterns of genomic events.

bioRxiv · Aug 12, 2018Cancer Biology