Author

S. C. Massey

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· 5 Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 6 Approach:statistical model· 5 Research Focus:cell type annotation· 3 Research Focus:drug response / drug discovery· 3 Organism:human· 3 Organism:mouse· 3 Research Focus:differential expression· 2 Approach:benchmark study· 1

Frequent Co-Authors

K. R. Swanson· 6 shared J. N. Sarkaria· 3 shared S. K. Johnston· 3 shared A. Hawkins-Daarud· 2 shared B.-M. Marin· 2 shared J. C. Urcuyo· 2 shared P. R. Jackson· 2 shared A. B. Porter· 1 shared

Activity by Year

2019-2021 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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6 shared papersCancer Biology

K. R. Swanson

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Author profile →

6 papers

Recent·Most cited

Complementary role of mathematical modeling in preclinical glioblastoma: differentiating poor drug delivery from drug insensitivity

J. C. Urcuyo, S. C. Massey, A. Hawkins-Daarud, B.-M. Marin, D. M. Burgenske, J. N. Sarkaria, K. R. Swanson

This paper uses mathematical modeling to differentiate between drug insensitivity and poor drug delivery in glioblastoma PDX models, validated by experimental results.

bioRxiv · Dec 7, 2021 · PreprintCancer Biology

Sex Differences in MRI-Based Metrics of Glioma Invasion and Brain Mechanics

B. J. Anderies, S. F. Yee, P. R. Jackson, C. R. Rickertsen, A. J. Hawkins-Daarud, S. K. Johnston, K. R. Clark-Swanson, J. M. Hoxworth, Y. Le, Y. Zhou, K. M. Pepin, S. C. Massey, L. S. Hu, J. R. Huston, K. R. Swanson

This study examines sex differences in MRI and MRE metrics related to glioma invasion and brain mechanics, finding sex-dependent relationships between tumor stiffness and growth parameters.

bioRxiv · Nov 21, 2020 · PreprintBiophysics

Quantifying glioblastoma drug response dynamics incorporating resistance and blood brain barrier penetrance from experimental data

S. C. Massey, J. C. Urcuyo, B. M. Marin, J. N. Sarkaria, K. R. Swanson

The paper develops a mathematical model to quantify glioblastoma drug response dynamics, finding that BBB permeability may slightly outweigh drug resistance in therapeutic efficacy.

bioRxiv · Oct 29, 2019Cancer Biology

From cells to tissue: How cell scale heterogeneity impacts glioblastoma growth and treatment response

J. A. Gallaher, S. C. Massey, A. C. Hawkins-Daarud, S. S. Noticewala, R. C. Rockne, S. K. Johnston, L. Gonzalez-Cuyar, J. Juliano, O. Gil, K. R. Swanson, P. Canoll, A. R. A. Anderson

This paper develops a hybrid agent-based model to study how intratumor heterogeneity affects glioblastoma growth and treatment response using multiscale data and mathematical frameworks.

bioRxiv · May 26, 2019Cancer Biology

Quantifying glioblastoma drug penetrance from experimental data

S. C. Massey, J. Urcuyo, B.-M. Marin, J. Sarkaria, K. R. Swanson

The paper models therapeutic response in glioblastoma using bioluminescence imaging data to assess drug resistance and penetration.

bioRxiv · May 24, 2019 · PreprintCancer Biology

Image-based metric of invasiveness predicts response to adjuvant temozolomide for primary glioblastoma

S. C. Massey, H. White, P. Whitmire, T. Doyle, S. K. Johnston, K. W. Singleton, P. R. Jackson, A. Hawkins-Daarud, B. R. Bendok, A. B. Porter, S. Vora, J. N. Sarkaria, M. M. Mrugala, K. R. Swanson

The paper uses image-based metrics to predict TMZ response in GBM patients, finding that less invasive tumors show greater volumetric response and improved survival.

bioRxiv · Jan 2, 2019Cancer Biology