Author

J. Rudewicz

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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Assay:bulk RNA-seq· 3 Research Focus:cell signaling & trafficking· 2 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Organism:human· 2 Organism:mouse· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Bikfalvi· 3 shared L. H. Geraldo· 2 shared T. Daubon· 2 shared T. Mathivet· 2 shared A. Eichmann· 1 shared A. Emanuelli· 1 shared A. Idbaih· 1 shared A. M. Latif· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCancer Biology

A. Bikfalvi

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Author profile →

3 papers

Recent·Most cited

SLIT2-ROBO signaling in tumor-associated microglia/macrophages drives glioblastoma immunosuppression and vascular dysmorphia

L. H. Geraldo, Y. Xu, L. Jacob, L. Pibouin-Fragner, R. Rao, N. Maissa, M. Verreault, N. Lemaire, C. Knosp, C. Lesaffre, T. Daubon, J. Dejaegher, L. Solie, J. Rudewicz, T. Viel, , T. Mathivet

This study shows that SLIT2-ROBO signaling in tumor-associated microglia/macrophages promotes glioblastoma immunosuppression and vascular dysmorphia, and its inhibition reduces tumor growth and enhances therapy.

bioRxiv · Apr 12, 2021Cancer Biology

TGF-beta promotes microtube formation in glioblastoma through Thrombospondin 1

J. V. Joseph, C. R. Magaut, S. Storevik, L. H. Geraldo, T. Mathivet, A. M. Latif, J. Rudewicz, J. Guyon, M. Gambaretti, F. Haukas, A. Trones, L. A. R. Ystaas, J. A. Hossain, S. Ninzima, W. Zhou, , H. Miletic

This study identifies TGF-beta and TSP1 as key drivers of microtube formation in glioblastoma, showing their role in invasion and treatment resistance.

bioRxiv · Feb 22, 2021Cancer Biology

A multi-layered systems approach for renal cell carcinoma

L. Cooley, J. Rudewicz, W. Souleyreau, K. Clarke, F. Falciani, M. Dufies, S. Verbeke, A. Emanuelli, S. Benzekry, C. Taing, E. J. Ribot, S. Miraux, D. Lambrechts, E. Modave, R. Pineau, , A. Bikfalvi

A multi-layered systems approach identifies prognostic and predictive biomarkers for renal cell carcinoma aggressiveness through in vivo models and integrative analysis.

bioRxiv · Jan 13, 2020 · PreprintCancer Biology