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Your search keyword '"Seo, Yun Jee"' showing total 26 results
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26 results on '"Seo, Yun Jee"'

1. Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma

Author

Nam, Yoonhee, Koo, Harim, Yang, Yingxi, Shin, Sang, Zhu, Zhihan, Kim, Donggeon, Cho, Hee Jin, Mu, Quanhua, Choi, Seung Won, Sa, Jason K., Seo, Yun Jee, Kim, Yejin, Lee, Kyoungmin, Oh, Jeong-Woo, Kwon, Yong-Jun, Park, Woong-Yang, Kong, Doo-Sik, Seol, Ho Jun, Lee, Jung-Il, Park, Chul-Kee, Lee, Hye Won, Yoon, Yeup, and Wang, Jiguang

Published
2023
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2. Comprehensive pharmacogenomic characterization of gastric cancer

Author

Sa, Jason K., Hong, Jung Yong, Lee, In-Kyoung, Kim, Ju-sun, Sim, Moon-Hee, Kim, Ha Jung, An, Ji Yeong, Sohn, Tae Sung, Lee, Joon Ho, Bae, Jae Moon, Kim, Sung, Kim, Kyoung-Mee, Kim, Seung Tae, Park, Se Hoon, Park, Joon Oh, Lim, Ho Yeong, Kang, Won Ki, Her, Nam-Gu, Lee, Yeri, Cho, Hee Jin, Shin, Yong Jae, Kim, Misuk, Koo, Harim, Kim, Mirinae, Seo, Yun Jee, Kim, Ja Yeon, Choi, Min-Gew, Nam, Do-Hyun, and Lee, Jeeyun

Published
2020
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3. Pharmacogenomic landscape of patient-derived tumor cells informs precision oncology therapy

Author

Lee, Jin-Ku, Liu, Zhaoqi, Sa, Jason K., Shin, Sang, Wang, Jiguang, Bordyuh, Mykola, Cho, Hee Jin, Elliott, Oliver, Chu, Timothy, Choi, Seung Won, Rosenbloom, Daniel I. S., Lee, In-Hee, 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., Bae, Joon Seol, Park, Woong-Yang, Lee, Jeongwu, Verhaak, Roel G. W., Iavarone, Antonio, Lee, Jeeyun, Rabadan, Raul, and Nam, Do-Hyun

Published
2018
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4. Supplementary table S2 from Patient-Derived Xenografts from Non–Small Cell Lung Cancer Brain Metastases Are Valuable Translational Platforms for the Development of Personalized Targeted Therapy

Author

Lee, Hye Won, primary, Lee, Jung-il, primary, Lee, Se Jeong, primary, Cho, Hyun Jung, primary, Song, Hye Jin, primary, Jeong, Da Eun, primary, Seo, Yun Jee, primary, Shin, Sang, primary, Joung, Je-Gun, primary, Kwon, Yong-Jun, primary, Choi, Yoon-La, primary, Park, Woong-Yang, primary, Lee, Hyun Moo, primary, Seol, Ho Jun, primary, Shim, Young Mog, primary, Joo, Kyeung Min, primary, and Nam, Do-Hyun, primary

Published
2023
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5. Supplementary Figure S1 from Patient-Derived Xenografts from Non–Small Cell Lung Cancer Brain Metastases Are Valuable Translational Platforms for the Development of Personalized Targeted Therapy

Author

Lee, Hye Won, primary, Lee, Jung-il, primary, Lee, Se Jeong, primary, Cho, Hyun Jung, primary, Song, Hye Jin, primary, Jeong, Da Eun, primary, Seo, Yun Jee, primary, Shin, Sang, primary, Joung, Je-Gun, primary, Kwon, Yong-Jun, primary, Choi, Yoon-La, primary, Park, Woong-Yang, primary, Lee, Hyun Moo, primary, Seol, Ho Jun, primary, Shim, Young Mog, primary, Joo, Kyeung Min, primary, and Nam, Do-Hyun, primary

Published
2023
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6. Pharmacogenomic analysis of patient-derived tumor cells in gynecologic cancers

Author

Sa, Jason K., Hwang, Jae Ryoung, Cho, Young-Jae, Ryu, Ji-Yoon, Choi, Jung-Joo, Jeong, Soo Young, Kim, Jihye, Kim, Myeong Seon, Paik, E. Sun, Lee, Yoo-Young, Choi, Chel Hun, Kim, Tae-Joong, Kim, Byoung-Gie, Bae, Duk-Soo, Lee, Yeri, Her, Nam-Gu, Shin, Yong Jae, Cho, Hee Jin, Kim, Ja Yeon, Seo, Yun Jee, Koo, Harim, Oh, Jeong-Woo, Lee, Taebum, Kim, Hyun-Soo, Song, Sang Yong, Bae, Joon Seol, Park, Woong-Yang, Han, Hee Dong, Ahn, Hyung Jun, Sood, Anil K., Rabadan, Raul, Lee, Jin-Ku, Nam, Do-Hyun, and Lee, Jeong-Won

Published
2019
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7. Additional file 2 of Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma

Author

Nam, Yoonhee, Koo, Harim, Yang, Yingxi, Shin, Sang, Zhu, Zhihan, Kim, Donggeon, Cho, Hee Jin, Mu, Quanhua, Choi, Seung Won, Sa, Jason K., Seo, Yun Jee, Kim, Yejin, Lee, Kyoungmin, Oh, Jeong-Woo, Kwon, Yong-Jun, Park, Woong-Yang, Kong, Doo-Sik, Seol, Ho Jun, Lee, Jung-Il, Park, Chul-Kee, Lee, Hye Won, Yoon, Yeup, and Wang, Jiguang

Abstract

Additional file 2: Fig. S1. Timeline of sample acquisition, sequencing, in vitro culture and TMZ screening. Fig. S2. Gaussian Mixture Model used to identify genes with the same expression profile between patient-derived cells (PDCs) and tumor tissues. Fig. S3. Principal Component Analysis and differentially expressed gene analysis on 34 tissue RNA-seq samples. Fig. S4. Association of MGMT promoter methylation status to survival and in vitro TMZ screening in the main cohort. Fig. S5. Copy number estimation by GliomaSCAN. Fig. S6. Copy number estimation by RNA-seq. Fig. S7. Machine learning model feature importance. Fig. S8. Correlations between GBM subtypes and TMZ response. Fig. S9. Comparison of survival prediction in TCGA cohort. Fig. S10. Genomic landscape of multi-sector samples. Fig. S11. TMZ-resistant marker expression and CNV comparison in patient M13 and M14. Fig. S12. Progression free survival difference in patients with multi-sector samples.

Published
2023
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8. Additional file 3 of Pharmacogenomic profiling reveals molecular features of chemotherapy resistance in IDH wild-type primary glioblastoma

Author

Nam, Yoonhee, Koo, Harim, Yang, Yingxi, Shin, Sang, Zhu, Zhihan, Kim, Donggeon, Cho, Hee Jin, Mu, Quanhua, Choi, Seung Won, Sa, Jason K., Seo, Yun Jee, Kim, Yejin, Lee, Kyoungmin, Oh, Jeong-Woo, Kwon, Yong-Jun, Park, Woong-Yang, Kong, Doo-Sik, Seol, Ho Jun, Lee, Jung-Il, Park, Chul-Kee, Lee, Hye Won, Yoon, Yeup, and Wang, Jiguang

Abstract

Additional file 3. Supplementary methods.

Published
2023
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12. Sphere-Forming Culture for Expanding Genetically Distinct Patient-Derived Glioma Stem Cells by Cellular Growth Rate Screening

Author

Shin, Kayoung, primary, Shin, Hyemi, additional, Cho, Hee Jin, additional, Kang, Hyunju, additional, Lee, Jin-Ku, additional, Seo, Yun Jee, additional, Shin, Yong Jae, additional, Kim, Donggeon, additional, Koo, Harim, additional, Kong, Doo-Sik, additional, Seol, Ho Jun, additional, Lee, Jung-Il, additional, Lee, Hye Won, additional, and Nam, Do-Hyun, additional

Published
2020
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13. Clinical Targeted Next-Generation sequencing Panels for Detection of Somatic Variants in Gliomas

Author

Shin, Hyemi, primary, Sa, Jason K., additional, Bae, Joon Seol, additional, Koo, Harim, additional, Jin, Seonwhee, additional, Cho, Hee Jin, additional, Choi, Seung Won, additional, Kyoung, Jong Min, additional, Kim, Ja Yeon, additional, Seo, Yun Jee, additional, Joung, Je-Gun, additional, Kim, Nayoung K. D., additional, Son, Dae-Soon, additional, Chung, Jongsuk, additional, Lee, Taeseob, additional, Kong, Doo-Sik, additional, Choi, Jung Won, additional, Seol, Ho Jun, additional, Lee, Jung-Il, additional, Suh, Yeon-Lim, additional, Park, Woong-Yang, additional, and Nam, Do-Hyun, additional

Published
2020
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14. Distinct genomic profile and specific targeted drug responses in adult cerebellar glioblastoma

Author

Cho, Hee Jin, primary, Zhao, Junfei, additional, Jung, Sang Won, additional, Ladewig, Erik, additional, Kong, Doo-Sik, additional, Suh, Yeon-Lim, additional, Lee, Yeri, additional, Kim, Donggeon, additional, Ahn, Sun Hee, additional, Bordyuh, Mykola, additional, Kang, Hyun Ju, additional, Sa, Jason K, additional, Seo, Yun Jee, additional, Kim, Sung Tae, additional, Lim, Do Hoon, additional, Dho, Yun-Sik, additional, Lee, Jung-Il, additional, Seol, Ho Jun, additional, Choi, Jung Won, additional, Park, Woong-Yang, additional, Park, Chul-Kee, additional, Rabadan, Raul, additional, and Nam, Do-Hyun, additional

Published
2018
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15. Spatiotemporal genomic architecture informs precision oncology in glioblastoma

Author

Lee, Jin-Ku, primary, Wang, Jiguang, additional, Sa, Jason K, additional, Ladewig, Erik, additional, Lee, Hae-Ock, additional, Lee, In-Hee, additional, Kang, Hyun Ju, additional, Rosenbloom, Daniel S, additional, Camara, Pablo G, additional, Liu, Zhaoqi, additional, van Nieuwenhuizen, Patrick, additional, Jung, Sang Won, additional, Choi, Seung Won, additional, Kim, Junhyung, additional, Chen, Andrew, additional, Kim, Kyu-Tae, additional, Shin, Sang, additional, Seo, Yun Jee, additional, Oh, Jin-Mi, additional, Shin, Yong Jae, additional, Park, Chul-Kee, additional, Kong, Doo-Sik, additional, Seol, Ho Jun, additional, Blumberg, Andrew, additional, Lee, Jung-Il, additional, Iavarone, Antonio, additional, Park, Woong-Yang, additional, Rabadan, Raul, additional, and Nam, Do-Hyun, additional

Published
2017
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18. FoxM1 Promotes Stemness and Radio-Resistance of Glioblastoma by Regulating the Master Stem Cell Regulator Sox2

Author

Lee, Yeri, primary, Kim, Kang Ho, additional, Kim, Dong Geon, additional, Cho, Hee Jin, additional, Kim, Yeonghwan, additional, Rheey, Jinguen, additional, Shin, Kayoung, additional, Seo, Yun Jee, additional, Choi, Yeon-Sook, additional, Lee, Jung-Il, additional, Lee, Jeongwu, additional, Joo, Kyeung Min, additional, and Nam, Do-Hyun, additional

Published
2015
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20. Patient-Derived Xenografts from Non–Small Cell Lung Cancer Brain Metastases Are Valuable Translational Platforms for the Development of Personalized Targeted Therapy

Author

Lee, Hye Won, primary, Lee, Jung-il, additional, Lee, Se Jeong, additional, Cho, Hyun Jung, additional, Song, Hye Jin, additional, Jeong, Da Eun, additional, Seo, Yun Jee, additional, Shin, Sang, additional, Joung, Je-Gun, additional, Kwon, Yong-Jun, additional, Choi, Yoon-La, additional, Park, Woong-Yang, additional, Lee, Hyun Moo, additional, Seol, Ho Jun, additional, Shim, Young Mog, additional, Joo, Kyeung Min, additional, and Nam, Do-Hyun, additional

Published
2015
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22. Translational Validation of Personalized Treatment Strategy Based on Genetic Characteristics of Glioblastoma

Author

Oh, Young Taek, primary, Cho, Hee Jin, additional, Kim, Jinkuk, additional, Lee, Ji-Hyun, additional, Rho, Kyoohyoung, additional, Seo, Yun-Jee, additional, Choi, Yeon-Sook, additional, Jung, Hye Jin, additional, Song, Hyeon Suk, additional, Kong, Doo-Sik, additional, Seol, Ho Jun, additional, Lee, Jung-Il, additional, Yoon, Yeup, additional, Kim, Sunghoon, additional, Nam, Do-Hyun, additional, and Joo, Kyeung Min, additional

Published
2014
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26. High-throughput screening (HTS) of anticancer drug efficacy on a micropillar/microwell chip platform.

Author

Lee DW, Choi YS, Seo YJ, Lee MY, Jeon SY, Ku B, Kim S, Yi SH, and Nam DH

Subjects
Antineoplastic Agents pharmacology, Brain Neoplasms genetics, Brain Neoplasms pathology, Cell Culture Techniques instrumentation, Cell Culture Techniques methods, Cell Line, Tumor, High-Throughput Screening Assays instrumentation, Humans, Oligonucleotide Array Sequence Analysis instrumentation, Treatment Outcome, Tumor Cells, Cultured, Antineoplastic Agents therapeutic use, Brain Neoplasms drug therapy, High-Throughput Screening Assays methods, Oligonucleotide Array Sequence Analysis methods
Abstract

Contemporary cancer therapy refers to treatment based on genetic abnormalities found in patient's tumor. However, this approach is faced with numerous challenges, including tumor heterogeneity and molecular evolution, insufficient tumor samples available along with genetic information linking to clinical outcomes, lack of therapeutic drugs containing pharmacogenomic information, and technical limitations of rapid drug efficacy tests with insufficient quantities of primary cancer cells from patients. To address these problems and improve clinical outcomes of current personalized gene-targeted cancer therapy, we have developed a micropillar/microwell chip platform, which is ideally suited for encapsulating primary cancer cells in nanoscale spots of hydrogels on the chip, generating efficacy data with various drugs, eventually allowing for a comparison of the in vitro data obtained from the chip with clinical data as well as gene expression data. As a proof of concept in this study, we have encapsulated a U251 brain cancer cell line and three primary brain cancer cells from patients (448T, 464T, and 775T) in 30 nL droplets of alginate and then tested the therapeutic efficacy of 24 anticancer drugs by measuring their dose responses. As a result, the IC50 values of 24 anticancer drugs obtained from the brain cancer cells clearly showed patient cell-specific efficacy, some of which were well-correlated with their oncogene overexpression (c-Met and FGFR1) as well as the in vivo previous results of the mouse xenograft model with the three primary brain cancer cells.

Published
2014
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