Author

G. Cario

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 Organism:human· 3 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

C. D. Baldus· 2 shared M. Brueggemann· 2 shared T. Beder· 2 shared A. Attarbaschi· 1 shared A. Beishuizen· 1 shared A. Goerlach· 1 shared A. K. Bergmann· 1 shared A. M. Hartmann· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersCancer Biology

C. D. Baldus

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Author profile →

3 papers

Recent·Most cited

Mutational and transcriptional landscape of pediatric B-cell precursor lymphoblastic lymphoma

E. Kroeze, I. Iaccarino, M. M. Kleisman, M. Mondal, T. Beder, M. Khouja, M. P. Hoeppner, M. Scheijde-Vermeulen, L. A. Kester, M. Brueggemann, C. D. Baldus, G. Cario, R. S. Bladergroen, N. Garnier, A. Attarbaschi, , W. Klapper

This study presents the first comprehensive mutational and transcriptional analysis of B-cell precursor lymphoblastic lymphoma (BCP-LBL), revealing molecular similarities to BCP-ALL but with distinct mutation patterns in epigenetic modifiers.

bioRxiv · Dec 27, 2023Cancer Biology

The gene expression classifier ALLCatchR identifies B-precursor ALL subtypes and underlying developmental trajectories across age

T. Beder, B.-T. Hansen, A. M. Hartmann, J. Zimmermann, E. Amelunxen, N. Wolgast, W. Walter, M. Zaliova, Z. Antic, P. Chouvarine, L. Bartsch, M. Barz, M. Bultmann, J. Horns, S. Bendig, , L. Bastian

ALLCatchR, a machine learning classifier, accurately assigns B-precursor ALL samples to molecular subtypes and identifies developmental trajectories using RNA-Seq data.

bioRxiv · Feb 1, 2023 · PreprintCancer Biology

MondoA Drives Malignancy in cALL through Enhanced Adaptation to Metabolic Stress

A. Sipol, E. Hameister, B. Xue, A. Petry, C. Prexler, M. Barenboim, R. A. Rubio, M. C. Baldauf, D. G. Franchina, J. Schmaeh, G. Richter, G. Cario, T. G. P. Gruenewald, A. Goerlach, D. Brenner, , S. E. G. Burdach

This study shows MondoA promotes malignancy in pediatric cALL by enhancing metabolic stress adaptation, with potential therapeutic implications.

bioRxiv · Nov 1, 2020Cancer Biology