Author

B. Bournet

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· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Approach:experimental assay· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

L. Buscail· 2 shared A. Carrier· 1 shared A. Dereynies· 1 shared A. Parini· 1 shared A. V. Villard· 1 shared B. Guiard· 1 shared B. Thibault· 1 shared B. Vellas· 1 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersMicrobiology

L. Buscail

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Pathogenicity of Commensal Gut Biofilm In Prefrail Aging

G. Le Cosquer, M. Pannier, E. S. Meunier, J. Thevenin, E. Pyhourquet, S. Guyonnet, B. Vellas, Y. Santin, B. Guiard, A. Parini, L. Buscail, B. Bournet, D. Guillemet, C. Deraison, N. Vergnolle, J. P. Motta

The paper investigates prefrail gut microbiota biofilm changes and their inflammatory effects, showing potential for microbiota-targeted interventions in aging.

bioRxiv · Jun 4, 2024Microbiology

Pancreatic Cancer Intrinsic PI3Kα Activity accelerates Metastasis and rewires Macrophage Component

B. Thibault, F. Ramos-Delgado, E. Pons-Tostivint, N. Therville, C. Cintas, S. Arcucci, S. Cassant-Sourdy, G. Reyes-Castellanos, M. Tosolini, A. V. Villard, C. Cayron, R. Baer, J. Bertrand-Michel, D. Payen, H. Yan, , J. Guillermet-Guibert

This paper identifies PI3K pathway activation as a driver of metastatic progression in pancreatic cancer and shows that targeting PI3K can delay macro-metastatic evolution.

bioRxiv · Sep 23, 2020Cancer Biology

Establishment of a pancreatic adenocarcinoma molecular gradient (PAMG) that predicts the clinical outcome of pancreatic cancer

R. Nicolle, Y. Blum, P. Duconseil, C. Vanbrugghe, N. Brandone, F. Poizat, J. Roques, M. Bigonnet, O. Gayet, M. Rubis, N. Elarouci, L. Armenoult, M. Ayadi, A. Dereynies, M. Giovannini, , N. J. Dusetti

This paper develops a transcriptomic gradient (PAMG) to predict pancreatic cancer aggressiveness and treatment response using patient-derived xenografts and clinical data.

bioRxiv · Mar 25, 2020Cancer Biology