Jihoon William Lee, MD, PhD
Hospital ResidentCards
About
Research
Publications
2026
Sequential transcriptional waves and NF-κB-driven chromatin remodeling direct drug-induced dedifferentiation in cancer
Su Y, Liu C, Lu X, Chuang H, Li G, Shao S, Kong Y, Lee J, Ng R, Wong S, Robert L, Warden C, Liu V, Chen J, Wang Z, Qin G, Tang Y, Cheng H, Ng A, Chen D, Peng S, Xue M, Johnson D, Xu Y, Wang J, Wu X, Shmulevich I, Shi Q, Levine R, Ribas A, Baltimore D, Guo J, Heath J, Wei W. Sequential transcriptional waves and NF-κB-driven chromatin remodeling direct drug-induced dedifferentiation in cancer. Nature Communications 2026, 17: 3228. PMID: 41986344, PMCID: PMC13083995, DOI: 10.1038/s41467-026-71349-4.Peer-Reviewed Original Research
2025
Hiding in the kidney: a series of 13 lymphoid proliferations clinically mimicking renal carcinoma
Lee J, Perrone M, Sabath D, Lin D, Schade G, Vakar-Lopez F, Tretiakova M. Hiding in the kidney: a series of 13 lymphoid proliferations clinically mimicking renal carcinoma. Virchows Archiv 2025, 1-10. PMID: 40484877, DOI: 10.1007/s00428-025-04137-y.Peer-Reviewed Original Research
2024
Symptomatic, Massive Right-Sided Splenic Heterotopia Masquerading as a Renal Cell Carcinoma With Metastasis
Lee J, Gore J, Tretiakova M. Symptomatic, Massive Right-Sided Splenic Heterotopia Masquerading as a Renal Cell Carcinoma With Metastasis. International Journal Of Surgical Pathology 2024, 33: 761-764. PMID: 39340454, DOI: 10.1177/10668969241283484.Peer-Reviewed Original Research
2022
Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer
Ng R, Lee J, Baloni P, Diener C, Heath J, Su Y. Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer. Frontiers In Oncology 2022, 12: 914594. PMID: 35875150, PMCID: PMC9303011, DOI: 10.3389/fonc.2022.914594.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2021
Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19
Lee J, Su Y, Baloni P, Chen D, Pavlovitch-Bedzyk A, Yuan D, Duvvuri V, Ng R, Choi J, Xie J, Zhang R, Murray K, Kornilov S, Smith B, Magis A, Hoon D, Hadlock J, Goldman J, Price N, Gottardo R, Davis M, Hood L, Greenberg P, Heath J. Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19. Nature Biotechnology 2021, 40: 110-120. PMID: 34489601, PMCID: PMC9206886, DOI: 10.1038/s41587-021-01020-4.Peer-Reviewed Original Research
2020
Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line
Su Y, Ko M, Cheng H, Zhu R, Xue M, Wang J, Lee J, Frankiw L, Xu A, Wong S, Robert L, Takata K, Yuan D, Lu Y, Huang S, Ribas A, Levine R, Nolan G, Wei W, Plevritis S, Li G, Baltimore D, Heath J. Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line. Nature Communications 2020, 11: 2345. PMID: 32393797, PMCID: PMC7214418, DOI: 10.1038/s41467-020-15956-9.Peer-Reviewed Original ResearchDeciphering UV‐induced DNA Damage Responses to Prevent and Treat Skin Cancer
Lee J, Ratnakumar K, Hung K, Rokunohe D, Kawasumi M. Deciphering UV‐induced DNA Damage Responses to Prevent and Treat Skin Cancer. Photochemistry And Photobiology 2020, 96: 478-499. PMID: 32119110, PMCID: PMC7651136, DOI: 10.1111/php.13245.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2017
Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance
Su Y, Wei W, Robert L, Xue M, Tsoi J, Garcia-Diaz A, Homet Moreno B, Kim J, Ng R, Lee J, Koya R, Comin-Anduix B, Graeber T, Ribas A, Heath J. Single-cell analysis resolves the cell state transition and signaling dynamics associated with melanoma drug-induced resistance. Proceedings Of The National Academy Of Sciences Of The United States Of America 2017, 114: 13679-13684. PMID: 29229836, PMCID: PMC5748184, DOI: 10.1073/pnas.1712064115.Peer-Reviewed Original Research
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