Author

G. Mazza

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

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

A. Iavarone· 1 shared A. Turkmani· 1 shared B. R. Bendok· 1 shared C. C. Quarles· 1 shared C. Calitz· 1 shared C. Krishna· 1 shared D. Craig· 1 shared F. Heindryckx· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCancer Biology

A. Iavarone

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Author profile →

2 papers

Recent·Most cited

Graph-based modeling of multiparametric MRI deciphers molecular states of high-grade glioma invasion with prognostic implications

M. J. Flick, M. Kenaston, S. Sarkar, G. M. LaFond, I. Hart, G. Mazza, J. Cramer, B. R. Bendok, A. Turkmani, C. Krishna, R. Zimmerman, J. Parker, J. Li, K. Donev, K. Bhat, , L. S. Hu

This paper uses graph-based modeling of multiparametric MRI to identify molecular states in high-grade glioma and shows their prognostic significance.

bioRxiv · Jul 8, 2026 · PreprintCancer Biology

Inhibiting endoplasmic reticulum stress decreases tumor burden in a mouse model for hepatocellular carcinoma.

N. Pavlovic, C. Calitz, K. Thanapirom, G. Mazza, K. Rombouts, P. Gerwins, F. Heindryckx

The paper shows that inhibiting IRE1 reduces tumor burden in a mouse HCC model by blocking stellate cell activation and tumor cell proliferation.

bioRxiv · Feb 20, 2020 · PreprintCancer Biology