Author

G. Macintyre

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· 7 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 7 Assay:whole-genome sequencing· 7 Approach:statistical model· 6 Research Focus:differential expression· 3 Research Focus:variant calling· 3 Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Approach:experimental assay· 2

Frequent Co-Authors

F. Markowetz· 7 shared J. D. Brenton· 3 shared K. Yuan· 3 shared M. Cmero· 3 shared A. M. Piskorz· 2 shared A. Piskorz· 2 shared B. Hernando· 2 shared C. Jolly· 2 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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7 shared papersCancer Biology

F. Markowetz

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Author profile →

8 papers

Recent·Most cited

Predicting response to cytotoxic chemotherapy

J. Thompson, L. Madrid, B. Hernando, C. Sauer, M. Vias, M. Escobar-Rey, W.-K. Leung, J. Huckstep, M. Sekowska, K. Hosking, M. Jimenez-Linan, M. Reinius, H. Dobson, D. De Silva, A. Fernandez-Sanroman, , G. Macintyre

This study develops three precision biomarkers based on chromosomal instability signatures to predict response to different chemotherapies, showing improved progression-free survival in clinical trials.

bioRxiv · Jan 28, 2023Cancer Biology

High-grade serous ovarian carcinoma organoids as models of chromosomal instability

M. Vias, L. Morrill Gavarro, C. M. Sauer, D. Sanders, A. M. Piskorz, D.-L. Couturier, S. Ballereau, B. Hernando, J. Hall, F. Correia-Martins, F. Markowetz, G. Macintyre, J. D. Brenton

This study develops HGSOC patient-derived organoids to model chromosomal instability and its mutational processes, showing they represent different causes of instability and can be used for drug sensitivity testing.

bioRxiv · Sep 1, 2022Cancer Biology

The genomic landscape of early stage ovarian high grade serous carcinoma

Z. Cheng, H. Mirza, D. P. Ennis, P. Smith, L. Morrill, C. Sokota, G. Giannone, T. Goranova, T. Bradley, A. Piskorz, M. Lockley, The BriTROC Investigators, B. Kaur, N. Singh, L. Tookman, , I. McNeish

This study compares genomic features of early and late stage high grade serous ovarian carcinoma, finding no unique mutations or focal copy number alterations but noting differences in ploidy and copy number signatures.

bioRxiv · May 5, 2021Cancer Biology

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

A comparative 'omics approach to candidate pathogenicity factor discovery in the brain-eating amoeba Naegleria fowleri

E. K. Herman, A. L. Greninger, M. van der Geizen, M. L. Ginger, I. Ramirez-Macias, H. C. Miller, M. J. Morgan, A. D. Tsaousis, K. Velle, R. Vargova, S. R. Najle, G. MacIntyre, N. Mueller, M. Wittwer, D. C. Zysset-Burri, , J. B. Dacks

This study uses -omics approaches to identify candidate pathogenicity factors in Naegleria fowleri by comparing it to its non-pathogenic relative Naegleria gruberi.

bioRxiv · Jan 16, 2020Microbiology

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

Copy-number signatures and mutational processes in ovarian carcinoma

G. Macintyre, T. Goranova, D. De Silva, D. Ennis, A. M. Piskorz, M. Eldridge, D. Sie, L.-A. Lewsley, A. Hanif, C. Wilson, S. Dowson, R. M. Glasspool, M. Lockley, E. Brockbank, A. Montes, , J. D. Brenton

This study identifies copy-number signatures in ovarian cancer and links them to mutational processes, showing that most cases involve multiple processes, suggesting therapeutic challenges.

bioRxiv · Sep 4, 2017Cancer Biology