Author

P. Y. Wen

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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Organism:human· 3 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

K. L. Ligon· 2 shared M. Touat· 2 shared A. E. Kim· 1 shared A. Eichler· 1 shared A. Giobbie-Hurder· 1 shared A. S. Kim· 1 shared B. Bearce· 1 shared B. Overmoyer· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersCancer Biology

K. L. Ligon

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Author profile →

3 papers

Recent·Most cited

Structural and functional vascular dysfunction within brain metastases is linked to pembrolizumab inefficacy

A. E. Kim, K. W. Lou, A. Giobbie-Hurder, K. Chang, M. Gidwani, K. Hoebel, J. Patel, M. Cleveland, P. Singh, C. Bridge, S. R. Ahmed, B. Bearce, W. Liu, E. Fuster-Garcia, E. Lee, , E. R. Gerstner

This study links structural and functional vascular dysfunction in brain metastases to pembrolizumab resistance by analyzing perfusion MRI data from 44 patients.

bioRxiv · Aug 25, 2023 · PreprintCancer Biology

Single Cell Spatial Analysis Reveals the Topology of Immunomodulatory Purinergic Signaling in Glioblastoma

S. Coy, S. Wang, S. A. Stopka, J.-R. Lin, R. Rashid, C. Yapp, C. C. Ritch, P. Khadka, M. Regan, J. Hwang, P. Y. Wen, P. Bandopadhayay, K. L. Ligon, N. Y. Agar, P. K. Sorger, , S. Santagata

The paper uses spatial single-cell analysis to show that CD73 and CD39 expression in glioblastoma correlates with poor clinical outcomes and immunosuppressive signaling.

bioRxiv · Jan 12, 2022Cancer Biology

Functional drug susceptibility testing based on biophysical measurements predicts patient outcome in glioblastoma patient-derived neurosphere models

M. A. Stockslager, S. Malinowski, M. Touat, J. C. Yoon, J. Geduldig, M. Mirza, A. S. Kim, P. Y. Wen, K.-H. Chow, K. L. Ligon, S. R. Manalis

Using biophysical assays on glioblastoma patient-derived neurosphere models, the study finds that ex vivo drug susceptibility testing predicts patient survival with similar accuracy to MGMT promoter methylation.

bioRxiv · Aug 5, 2020 · PreprintCancer Biology