@article{RN6089,
   author = {Lee, J. K. and Liu, Z. and Sa, J. K. and Shin, S. and Wang, J. and Bordyuh, M. and Cho, H. J. and Elliott, O. and Chu, T. and Choi, S. W. and Rosenbloom, D. I. S. and Lee, I. H. and Shin, Y. J. and Kang, H. J. and Kim, D. and Kim, S. Y. and Sim, M. H. and Kim, J. and Lee, T. and Seo, Y. J. and Shin, H. and Lee, M. and Kim, S. H. and Kwon, Y. J. and Oh, J. W. and Song, M. and Kim, M. and Kong, D. S. and Choi, J. W. and Seol, H. J. and Lee, J. I. and Kim, S. T. and Park, J. O. and Kim, K. M. and Song, S. Y. and Lee, J. W. and Kim, H. C. and Lee, J. E. and Choi, M. G. and Seo, S. W. and Shim, Y. M. and Zo, J. I. and Jeong, B. C. and Yoon, Y. and Ryu, G. H. and Kim, N. K. D. and Bae, J. S. and Park, W. Y. and Lee, J. and Verhaak, R. G. W. and Iavarone, A. and Lee, J. and Rabadan, R. and Nam, D. H.},
   title = {Pharmacogenomic landscape of patient-derived tumor cells informs precision oncology therapy},
   journal = {Nat Genet},
   volume = {50},
   number = {10},
   pages = {1399-1411},
   note = {1546-1718
Lee, Jin-Ku
Orcid: 0000-0003-0263-3234
Liu, Zhaoqi
Sa, Jason K
Shin, Sang
Wang, Jiguang
Orcid: 0000-0002-6923-4097
Bordyuh, Mykola
Cho, Hee Jin
Elliott, Oliver
Chu, Timothy
Choi, Seung Won
Orcid: 0000-0003-1203-6126
Rosenbloom, Daniel I S
Orcid: 0000-0003-1413-3907
Lee, In-Hee
Orcid: 0000-0002-8857-1355
Shin, Yong Jae
Kang, Hyun Ju
Kim, Donggeon
Kim, Sun Young
Sim, Moon-Hee
Kim, Jusun
Lee, Taehyang
Seo, Yun Jee
Shin, Hyemi
Lee, Mijeong
Kim, Sung Heon
Kwon, Yong-Jun
Oh, Jeong-Woo
Song, Minsuk
Kim, Misuk
Kong, Doo-Sik
Choi, Jung Won
Seol, Ho Jun
Lee, Jung-Il
Kim, Seung Tae
Park, Joon Oh
Kim, Kyoung-Mee
Song, Sang-Yong
Lee, Jeong-Won
Kim, Hee-Cheol
Lee, Jeong Eon
Choi, Min Gew
Seo, Sung Wook
Shim, Young Mog
Zo, Jae Ill
Jeong, Byong Chang
Yoon, Yeup
Ryu, Gyu Ha
Kim, Nayoung K D
Orcid: 0000-0001-8350-6266
Bae, Joon Seol
Park, Woong-Yang
Lee, Jeongwu
Verhaak, Roel G W
Orcid: 0000-0003-2773-0436
Iavarone, Antonio
Lee, Jeeyun
Orcid: 0000-0002-4911-6165
Rabadan, Raul
Nam, Do-Hyun
R01 CA179044/CA/NCI NIH HHS/United States
R01 CA185486/CA/NCI NIH HHS/United States
U54 CA193313/CA/NCI NIH HHS/United States
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
United States
2018/09/29
Nat Genet. 2018 Oct;50(10):1399-1411. doi: 10.1038/s41588-018-0209-6. Epub 2018 Sep 27.},
   abstract = {Outcomes of anticancer therapy vary dramatically among patients due to diverse genetic and molecular backgrounds, highlighting extensive intertumoral heterogeneity. The fundamental tenet of precision oncology defines molecular characterization of tumors to guide optimal patient-tailored therapy. Towards this goal, we have established a compilation of pharmacological landscapes of 462 patient-derived tumor cells (PDCs) across 14 cancer types, together with genomic and transcriptomic profiling in 385 of these tumors. Compared with the traditional long-term cultured cancer cell line models, PDCs recapitulate the molecular properties and biology of the diseases more precisely. Here, we provide insights into dynamic pharmacogenomic associations, including molecular determinants that elicit therapeutic resistance to EGFR inhibitors, and the potential repurposing of ibrutinib (currently used in hematological malignancies) for EGFR-specific therapy in gliomas. Lastly, we present a potential implementation of PDC-derived drug sensitivities for the prediction of clinical response to targeted therapeutics using retrospective clinical studies.},
   keywords = {Antineoplastic Agents/classification/isolation & purification/*therapeutic use
Biomarkers, Pharmacological/analysis
Biomarkers, Tumor/analysis/genetics
Cell Lineage/drug effects/genetics
Drug Resistance, Neoplasm/*genetics
Drug Screening Assays, Antitumor
Feasibility Studies
Gene Expression Profiling
Gene Expression Regulation, Neoplastic/drug effects
HEK293 Cells
Humans
Medical Oncology/methods
*Molecular Targeted Therapy
Neoplasms/*drug therapy/*genetics/pathology
Panobinostat/therapeutic use
Patient-Centered Care/methods
Pharmacogenetics/*methods
Precision Medicine/*methods
Primary Cell Culture/methods
Tumor Cells, Cultured},
   ISSN = {1061-4036 (Print)
1061-4036},
   DOI = {10.1038/s41588-018-0209-6},
   year = {2018},
   type = {Journal Article}
}

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Y.","Lee, J.","Verhaak, R. G. W.","Iavarone, A.","Lee, J.","Rabadan, R.","Nam, D. 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landscape of patient-derived tumor cells informs precision oncology therapy","journal":"Nat Genet","volume":"50","number":"10","pages":"1399-1411","note":"1546-1718 Lee, Jin-Ku Orcid: 0000-0003-0263-3234 Liu, Zhaoqi Sa, Jason K Shin, Sang Wang, Jiguang Orcid: 0000-0002-6923-4097 Bordyuh, Mykola Cho, Hee Jin Elliott, Oliver Chu, Timothy Choi, Seung Won Orcid: 0000-0003-1203-6126 Rosenbloom, Daniel I S Orcid: 0000-0003-1413-3907 Lee, In-Hee Orcid: 0000-0002-8857-1355 Shin, Yong Jae Kang, Hyun Ju Kim, Donggeon Kim, Sun Young Sim, Moon-Hee Kim, Jusun Lee, Taehyang Seo, Yun Jee Shin, Hyemi Lee, Mijeong Kim, Sung Heon Kwon, Yong-Jun Oh, Jeong-Woo Song, Minsuk Kim, Misuk Kong, Doo-Sik Choi, Jung Won Seol, Ho Jun Lee, Jung-Il Kim, Seung Tae Park, Joon Oh Kim, Kyoung-Mee Song, Sang-Yong Lee, Jeong-Won Kim, Hee-Cheol Lee, Jeong Eon Choi, Min Gew Seo, Sung Wook Shim, Young Mog Zo, Jae Ill Jeong, Byong Chang Yoon, Yeup Ryu, Gyu Ha Kim, Nayoung K D Orcid: 0000-0001-8350-6266 Bae, Joon Seol Park, Woong-Yang Lee, Jeongwu Verhaak, Roel G W Orcid: 0000-0003-2773-0436 Iavarone, Antonio Lee, Jeeyun Orcid: 0000-0002-4911-6165 Rabadan, Raul Nam, Do-Hyun R01 CA179044/CA/NCI NIH HHS/United States R01 CA185486/CA/NCI NIH HHS/United States U54 CA193313/CA/NCI NIH HHS/United States Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't United States 2018/09/29 Nat Genet. 2018 Oct;50(10):1399-1411. doi: 10.1038/s41588-018-0209-6. Epub 2018 Sep 27.","abstract":"Outcomes of anticancer therapy vary dramatically among patients due to diverse genetic and molecular backgrounds, highlighting extensive intertumoral heterogeneity. The fundamental tenet of precision oncology defines molecular characterization of tumors to guide optimal patient-tailored therapy. Towards this goal, we have established a compilation of pharmacological landscapes of 462 patient-derived tumor cells (PDCs) across 14 cancer types, together with genomic and transcriptomic profiling in 385 of these tumors. Compared with the traditional long-term cultured cancer cell line models, PDCs recapitulate the molecular properties and biology of the diseases more precisely. Here, we provide insights into dynamic pharmacogenomic associations, including molecular determinants that elicit therapeutic resistance to EGFR inhibitors, and the potential repurposing of ibrutinib (currently used in hematological malignancies) for EGFR-specific therapy in gliomas. Lastly, we present a potential implementation of PDC-derived drug sensitivities for the prediction of clinical response to targeted therapeutics using retrospective clinical studies.","keywords":"Antineoplastic Agents/classification/isolation & purification/*therapeutic use Biomarkers, Pharmacological/analysis Biomarkers, Tumor/analysis/genetics Cell Lineage/drug effects/genetics Drug Resistance, Neoplasm/*genetics Drug Screening Assays, Antitumor Feasibility Studies Gene Expression Profiling Gene Expression Regulation, Neoplastic/drug effects HEK293 Cells Humans Medical Oncology/methods *Molecular Targeted Therapy Neoplasms/*drug therapy/*genetics/pathology Panobinostat/therapeutic use Patient-Centered Care/methods Pharmacogenetics/*methods Precision Medicine/*methods Primary Cell Culture/methods Tumor Cells, Cultured","issn":"1061-4036 (Print) 1061-4036","doi":"10.1038/s41588-018-0209-6","year":"2018","bibtex":"@article{RN6089,\n author = {Lee, J. K. and Liu, Z. and Sa, J. K. and Shin, S. and Wang, J. and Bordyuh, M. and Cho, H. J. and Elliott, O. and Chu, T. and Choi, S. W. and Rosenbloom, D. I. S. and Lee, I. H. and Shin, Y. J. and Kang, H. J. and Kim, D. and Kim, S. Y. and Sim, M. H. and Kim, J. and Lee, T. and Seo, Y. J. and Shin, H. and Lee, M. and Kim, S. H. and Kwon, Y. J. and Oh, J. W. and Song, M. and Kim, M. and Kong, D. S. and Choi, J. W. and Seol, H. J. and Lee, J. I. and Kim, S. T. and Park, J. O. and Kim, K. M. and Song, S. Y. and Lee, J. W. and Kim, H. C. and Lee, J. E. and Choi, M. G. and Seo, S. W. and Shim, Y. M. and Zo, J. I. and Jeong, B. C. and Yoon, Y. and Ryu, G. H. and Kim, N. K. D. and Bae, J. S. and Park, W. Y. and Lee, J. and Verhaak, R. G. W. and Iavarone, A. and Lee, J. and Rabadan, R. and Nam, D. H.},\n title = {Pharmacogenomic landscape of patient-derived tumor cells informs precision oncology therapy},\n journal = {Nat Genet},\n volume = {50},\n number = {10},\n pages = {1399-1411},\n note = {1546-1718\nLee, Jin-Ku\nOrcid: 0000-0003-0263-3234\nLiu, Zhaoqi\nSa, Jason K\nShin, Sang\nWang, Jiguang\nOrcid: 0000-0002-6923-4097\nBordyuh, Mykola\nCho, Hee Jin\nElliott, Oliver\nChu, Timothy\nChoi, Seung Won\nOrcid: 0000-0003-1203-6126\nRosenbloom, Daniel I S\nOrcid: 0000-0003-1413-3907\nLee, In-Hee\nOrcid: 0000-0002-8857-1355\nShin, Yong Jae\nKang, Hyun Ju\nKim, Donggeon\nKim, Sun Young\nSim, Moon-Hee\nKim, Jusun\nLee, Taehyang\nSeo, Yun Jee\nShin, Hyemi\nLee, Mijeong\nKim, Sung Heon\nKwon, Yong-Jun\nOh, Jeong-Woo\nSong, Minsuk\nKim, Misuk\nKong, Doo-Sik\nChoi, Jung Won\nSeol, Ho Jun\nLee, Jung-Il\nKim, Seung Tae\nPark, Joon Oh\nKim, Kyoung-Mee\nSong, Sang-Yong\nLee, Jeong-Won\nKim, Hee-Cheol\nLee, Jeong Eon\nChoi, Min Gew\nSeo, Sung Wook\nShim, Young Mog\nZo, Jae Ill\nJeong, Byong Chang\nYoon, Yeup\nRyu, Gyu Ha\nKim, Nayoung K D\nOrcid: 0000-0001-8350-6266\nBae, Joon Seol\nPark, Woong-Yang\nLee, Jeongwu\nVerhaak, Roel G W\nOrcid: 0000-0003-2773-0436\nIavarone, Antonio\nLee, Jeeyun\nOrcid: 0000-0002-4911-6165\nRabadan, Raul\nNam, Do-Hyun\nR01 CA179044/CA/NCI NIH HHS/United States\nR01 CA185486/CA/NCI NIH HHS/United States\nU54 CA193313/CA/NCI NIH HHS/United States\nJournal Article\nResearch Support, N.I.H., Extramural\nResearch Support, Non-U.S. Gov't\nUnited States\n2018/09/29\nNat Genet. 2018 Oct;50(10):1399-1411. doi: 10.1038/s41588-018-0209-6. Epub 2018 Sep 27.},\n abstract = {Outcomes of anticancer therapy vary dramatically among patients due to diverse genetic and molecular backgrounds, highlighting extensive intertumoral heterogeneity. The fundamental tenet of precision oncology defines molecular characterization of tumors to guide optimal patient-tailored therapy. Towards this goal, we have established a compilation of pharmacological landscapes of 462 patient-derived tumor cells (PDCs) across 14 cancer types, together with genomic and transcriptomic profiling in 385 of these tumors. Compared with the traditional long-term cultured cancer cell line models, PDCs recapitulate the molecular properties and biology of the diseases more precisely. Here, we provide insights into dynamic pharmacogenomic associations, including molecular determinants that elicit therapeutic resistance to EGFR inhibitors, and the potential repurposing of ibrutinib (currently used in hematological malignancies) for EGFR-specific therapy in gliomas. Lastly, we present a potential implementation of PDC-derived drug sensitivities for the prediction of clinical response to targeted therapeutics using retrospective clinical studies.},\n keywords = {Antineoplastic Agents/classification/isolation & purification/*therapeutic use\nBiomarkers, Pharmacological/analysis\nBiomarkers, Tumor/analysis/genetics\nCell Lineage/drug effects/genetics\nDrug Resistance, Neoplasm/*genetics\nDrug Screening Assays, Antitumor\nFeasibility Studies\nGene Expression Profiling\nGene Expression Regulation, Neoplastic/drug effects\nHEK293 Cells\nHumans\nMedical Oncology/methods\n*Molecular Targeted Therapy\nNeoplasms/*drug therapy/*genetics/pathology\nPanobinostat/therapeutic use\nPatient-Centered Care/methods\nPharmacogenetics/*methods\nPrecision Medicine/*methods\nPrimary Cell Culture/methods\nTumor Cells, Cultured},\n ISSN = {1061-4036 (Print)\n1061-4036},\n DOI = {10.1038/s41588-018-0209-6},\n year = {2018},\n type = {Journal Article}\n}\n\n","author_short":["Lee, J. 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