Author

S. P. Hong

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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Approach:experimental assay· 3 Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Assay:scRNA-seq· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:differential expression· 1

Frequent Co-Authors

L. Magnani· 3 shared I. Barozzi· 2 shared A. Acar· 1 shared A. Rocca· 1 shared A. Sottoriva· 1 shared A. Stewart· 1 shared C. C. Maley· 1 shared C. R. Coombes· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersCancer Biology

L. Magnani

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Author profile →

3 papers

Recent·Most cited

Unperturbed dormancy recording reveals stochastic awakening strategies in endocrine treated breast cancer cells

D. Rosano, E. Sofyali, H. Dheman, D. Ivanoiu, N. Slaven, s. p. Hong, A. Rocca, S. Bravacini, s. ravaioli, r. Noberini, T. Bonaldi, L. Magnani

This study investigates dormancy and awakening in endocrine-treated breast cancer cells, revealing stochastic awakening strategies and the role of epigenetic decay.

bioRxiv · Apr 21, 2021 · PreprintCancer Biology

Exploiting evolutionary herding to control drug resistance in cancer

A. Acar, D. Nichol, J. Fernandez, G. D. Cresswell, I. Barozzi, S. P. Hong, I. Spiteri, M. Stubbs, R. Burke, A. Stewart, G. Vlachogiannis, C. C. Maley, L. Magnani, N. Valeri, U. Banerji, A. Sottoriva

This paper demonstrates evolutionary herding in non-small cell lung cancer to control drug resistance by shifting clonal composition and inducing collateral sensitivity.

bioRxiv · Mar 4, 2019 · PreprintCancer Biology

Single-cell Transcriptomics reveals multi-step adaptations to endocrine therapy

S. P. Hong, T. E. Chan, Y. Lombardo, G. Corleone, N. Rotmensz, G. Pruneri, K. R. McEwen, C. R. Coombes, I. Barozzi, L. Magnani

This study uses single-cell transcriptomics to identify pre-adapted cells that undergo reprogramming to develop resistance to endocrine therapy in breast cancer.

bioRxiv · Dec 2, 2018Cancer Biology