Author

A. Sassano

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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Assay:bulk RNA-seq· 3 Research Focus:cell type annotation· 3 Research Focus:differential expression· 3 Organism:mouse· 3 Approach:statistical model· 3 Approach:experimental assay· 2 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

C.-P. Day· 3 shared E. Perez-Guijarro· 3 shared G. Merlino· 3 shared K. L. Marie· 3 shared C. Smith· 2 shared E. Wu· 2 shared H. H. Yang· 2 shared J. Ebersole· 2 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

C.-P. Day

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3 papers

Recent·Most cited

Melanoma clonal subline analysis uncovers heterogeneity-driven immunotherapy resistance mechanisms

C. Gruen, H. H. Yang, A. Sassano, E. Wu, V. Gopalan, K. L. Marie, A. Castro, F. R. Mehrabadi, C. H. Wu, I. Church, G. A. Needle, C. Smith, S. Chin, J. Ebersole, C. Marcelus, , E. Perez-Guijarro

The paper analyzes melanoma clonal sublines to uncover how intratumoral heterogeneity drives resistance to immunotherapy.

bioRxiv · Apr 3, 2023 · PreprintCancer Biology

Transitory Schwann Cell Precursor and hybrid states underpin melanoma therapy resistance and metastasis

V. Gopalan, C. W. Wong, R. Leshem, L. Owen, T. Vallius, Y. Shi, Y. Jiang, E. Perez-Guijarro, E. Wu, S. Chin, J. Ebersole, C. Smith, A. Sassano, M. Alves Constantino, M. J. Haley, , K. L. Marie

This paper identifies transitory Schwann Cell Precursor and hybrid states in melanoma that correlate with therapy resistance and metastasis, and shows targeting Hdac2 can sensitize tumors to treatment.

bioRxiv · Oct 14, 2022 · PreprintCancer Biology

Melanoblast transcriptome analysis reveals novel pathways promoting melanoma metastasis

K. L. Marie, A. Sassano, H. H. Yang, A. M. Michalowski, H. T. Michael, T. Guo, Y. C. Tsai, A. M. Weissman, M. P. Lee, L. M. Jenkins, M. R. Zaidi, E. Perez-Guijarro, C.-P. Day, H. Arnheiter, S. Davis, , P. J. Mishra

The paper analyzes the melanoblast transcriptome to identify genes involved in melanoma metastasis and discovers a 43-gene signature predictive of patient survival.

bioRxiv · Aug 6, 2019Cancer Biology