Author

A. Sexton-Oates

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:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:clustering· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1

Frequent Co-Authors

C. Voegele· 3 shared L. Mangiante· 3 shared N. Alcala· 3 shared H. Clevers· 2 shared L. Fernandez-Cuesta· 2 shared M. Foll· 2 shared T. L. Dayton· 2 shared A. Di Genova· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersCancer Biology

C. Voegele

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Author profile →

3 papers

Recent·Most cited

Multi-omic dataset of patient-derived tumor organoids of neuroendocrine neoplasms

N. Alcala, C. Voegele, L. Mangiante, A. Sexton-Oates, H. Clevers, L. Fernandez-Cuesta, T. L. Dayton, M. Foll

The paper presents a multi-omic dataset of patient-derived tumor organoids for neuroendocrine neoplasms, including whole-genome and RNA-seq data, and provides analysis tools for re-use.

bioRxiv · Aug 31, 2023Cancer Biology

Druggable Growth Dependencies and Tumor Evolution Analysis in Patient-Derived Organoids of Neuroendocrine Cancer

T. L. Dayton, N. Alcala, L. Moonen, L. den Hartigh, L. Mangiante, L. Lap, A. F. M. Dost, J. Beumer, S. Levy, R. S. van Leeuwaarde, W. M. Hackeng, K. Samsom, C. Voegele, A. Sexton-Oates, H. Begthel, , H. Clevers

This study establishes patient-derived tumor organoids (PDTOs) for neuroendocrine cancers, identifies therapeutic vulnerabilities, and highlights EGF dependency in pulmonary neuroendocrine tumors.

bioRxiv · Oct 31, 2022Cancer Biology

Disentangling heterogeneity of Malignant Pleural Mesothelioma through deep integrative omics analyses

L. Mangiante, N. Alcala, A. Di Genova, A. Sexton-Oates, A. Gonzalez-Perez, A. Khandekar, E. Bergstrom, J. Kim, C. Giacobi, N. Le-Stang, S. Boyault, C. Cuenin, S. Tabone-Eglinger, F. Damiola, C. Voegele, , Meyer

This study identifies four sources of heterogeneity in MPM using multi-omic factor analysis, showing how genomic events shape molecular profiles and clinical behavior.

bioRxiv · Sep 27, 2021Cancer Biology