Author

P. Sahoo

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 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

D. Maestrini· 3 shared D. Abler· 2 shared S. Branciamore· 2 shared V. Adhikarla· 2 shared A. Ardaseva· 1 shared C. E. Brown· 1 shared C. Harmon· 1 shared D. Frankhouser· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersCancer Biology

D. Maestrini

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Author profile →

3 papers

Recent·Most cited

Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data

P. Sahoo, X. Yang, D. Abler, D. Maestrini, V. Adhikarla, D. Frankhouser, H. Cho, V. Machuca, D. Wang, M. Barish, M. Gutova, S. Branciamore, C. E. Brown, R. C. Rockne

This paper uses a mathematical model to analyze CAR T-cell killing dynamics in glioma, showing dose-dependent effects on proliferation and exhaustion.

bioRxiv · Nov 9, 2019Immunology

Evolutionary exploitation of PD-L1 expression in hormone receptor positive breast cancer

J. West, D. Park, C. Harmon, D. Williamson, P. Ashcroft, D. Maestrini, A. Ardaseva, R. Bravo, P. Sahoo, H. Khong, K. Luddy, M. Robertson-Tessi

The paper models how timing of aromatase inhibitor and immune checkpoint inhibitor therapies affects tumor burden and metastatic potential in hormone receptor positive breast cancer.

bioRxiv · Oct 26, 2018 · PreprintCancer Biology

Aging in a relativistic biological space-time

D. Maestrini, D. Abler, V. Adhikarla, S. Armenian, S. Branciamore, N. Carlesso, G. Marcucci, Y.-H. Kuo, P. Sahoo, R. Rockne

This paper proposes a theoretical framework modeling biological aging as trajectories in a mathematical space-time, with applications to cancer and aging rates.

bioRxiv · Dec 5, 2017Cancer Biology