Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
5 papers
Recent·Most cited
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
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
M. Pagadala, V. H. Wu, E. Perez-Guijarro, H. Kim, A. Castro, J. Talwar, T. Sears, C. Gonzalez-Colin, S. Cao, B. Schmiedel, S. Goudarzi, D. Kirani, R. Salem, G. Morris, O. Harismendy, , H. Carter
The paper identifies germline variants associated with the tumor immune microenvironment, linking them to cancer risk and immunotherapy response.
bioRxiv · Apr 14, 2021 · PreprintCancer Biology
E. Perez-Guijarro, H. H. Yang, R. E. Araya, R. El Meskini, H. T. Michael, S. K. Vodnala, K. L. Marie, C. Graff-Cherry, S. Chin, A. J. Iacovelli, A. Kulaga, A. Fon, A. M. Michalowski, W. Hugo, R. S. Lo, , G. Merlino
The paper develops a preclinical platform using syngeneic mouse models to predict melanoma patient response to immunotherapy and identifies a melanocytic plasticity signature linked to treatment outcomes.
bioRxiv · Aug 6, 2019 · PreprintCancer Biology
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