Author

P. Whitmire

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Cancer Biology· 4

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 4 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Assay:clinical cohort / trial· 2 Research Focus:clustering· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:benchmark study· 1

Frequent Co-Authors

A. Hawkins-Daarud· 4 shared K. R. Swanson· 4 shared S. K. Johnston· 4 shared A. B. Porter· 3 shared L. S. Hu· 3 shared M. M. Mrugala· 3 shared P. Kumthekar· 3 shared B. R. Bendok· 2 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

4 shared papersCancer Biology

A. Hawkins-Daarud

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Sex Differences in Predictors of Seizure in Contrast-Enhancing Gliomas at Clinical Presentation: A Network Approach

S. K. Johnston, A. Khurana, P. Whitmire, S. Ranjbar, A. Sharma, A. Hawkins-Daarud, J. B. Rubin, A. B. Porter, P. D. Canoll, K. Egan, L. S. Hu, M. M. Mrugala, P. Kumthekar, K. R. Swanson

The paper uses a machine learning model to predict seizure risk in glioma patients at presentation, finding sex, tumor size, and age as significant predictors.

bioRxiv · Jul 23, 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

ENvironmental Dynamics Underlying Responsive Extreme Survivors (ENDURES) of Glioblastoma: a Multi-disciplinary Team-based, Multifactorial Analytical Approach

S. K. Johnston, P. Whitmire, S. C. Massey, P. Kumthekar, A. B. Porter, N. Raghunand, L. F. Gonzalez-Cuyar, M. M. Mrugala, A. Hawkins-Daarud, P. R. Jackson, L. S. Hu, J. N. Sarkaria, L. Wang, R. A. Gatenby, K. M. Egan, , K. R. Swanson

The paper introduces the ENDURES consortium to study extreme survivors of glioblastoma by integrating clinical data and creating patient-specific tumor models.

bioRxiv · Nov 4, 2018 · PreprintCancer Biology

Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

P. Whitmire, C. R. Rickertsen, A. Hawkins-Daarud, E. Carrasco, J. Lorence, G. De Leon, L. Curtin, S. Bayless, K. Clark-Swanson, N. C. Peeri, C. Corpuz, C. P. Lewis-de los Angeles, B. R. Bendok, L. Gonzalez-Cuyar, S. Vora, , K. R. Swanson

This study identifies sex-specific predictors of survival in glioblastoma patients using MR imaging and clinical data.

bioRxiv · Sep 25, 2018Cancer Biology