Author

L. S. Hu

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· 8 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 9 Research Focus:cell type annotation· 6 Assay:imaging· 5 Assay:clinical cohort / trial· 3 Approach:experimental assay· 3 Approach:statistical model· 3 Research Focus:differential expression· 2 Research Focus:protein structure prediction· 2

Frequent Co-Authors

K. R. Swanson· 8 shared S. K. Johnston· 6 shared A. Hawkins-Daarud· 5 shared M. M. Mrugala· 5 shared A. B. Porter· 4 shared C. R. Rickertsen· 4 shared J. B. Rubin· 4 shared B. R. Bendok· 3 shared

Activity by Year

2018-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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8 shared papersCancer Biology

K. R. Swanson

Mutual co-authors in cluster

Author profile →

9 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

Mapping multiregional imaging-localized biopsies to MRI habitats reveals biologically significant glioma tissue states and associated patterns of cohabitating cellular subpopulations

L. Curtin, K. M. Bond, P. R. Jackson, A. Hawkins-Daarud, S. Velez, N. Shakir, J. C. Urcuyo, G. De Leon, K. W. Singleton, J. M. Langworthy, K. Clark-Swanson, Y. Lassiter-Morris, L. Paulson, C. Sereduk, C. Krishna, , K. R. Swanson

The paper maps MRI-localized glioma biopsies to MRI habitats, identifying transcriptional tissue states and their association with cellular subpopulations and MRI features.

bioRxiv · Mar 23, 2022 · 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

Identifying the spatial and temporal dynamics of molecularly-distinct glioblastoma sub-populations

B. Morris, L. Curtin, A. Hawkins-Daarud, M. E. Hubbard, R. Rahman, S. J. Smith, D. Auer, N. L. Tran, L. S. Hu, J. M. Eschbacher, K. A. Smith, A. Stokes, K. R. Swanson, M. R. Owen

The paper uses biopsy data and a mechanistic model to study interactions between EGFR and PDGFRA amplified sub-populations in glioblastomas.

bioRxiv · Apr 8, 2020Cancer Biology

Days Gained Response Discriminates Treatment Response in Patients with Recurrent Glioblastoma Receiving Bevacizumab-based Therapies

K. W. Singleton, A. B. Porter, L. S. Hu, S. K. Johnston, K. M. Bond, C. R. Rickertsen, G. De Leon, S. A. Whitmire, K. R. Clark-Swanson, M. M. Mrugala, K. R. Swanson

This study evaluates Days Gained (DG) as a metric for assessing treatment response in recurrent glioblastoma patients receiving bevacizumab-based therapies, showing its prognostic significance for survival outcomes.

bioRxiv · Aug 30, 2019Cancer Biology

Sex differences in seizure at presentation in glioma population

S. Ranjbar, B. J. Anderies, K. W. Singleton, S. K. Johnston, C. R. Rickertsen, A. Sharma, A. B. Porter, M. M. Mrugala, L. S. Hu, J. R. Mitchell, J. B. Rubin, K. R. Swanson

This study examines the association between tumor location and seizure risk in male and female glioma patients.

bioRxiv · Aug 4, 2019 · PreprintCancer Biology

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

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