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Cancer Cell Line Panels Empower Genomics-Based Discovery of Precision Cancer Medicine

Authors
 Hyun Seok Kim  ;  Yeo-Jin Sung  ;  Soonmyung Paik 
Citation
 YONSEI MEDICAL JOURNAL, Vol.56(5) : 1186-1198, 2015 
Journal Title
 YONSEI MEDICAL JOURNAL 
ISSN
 0513-5796 
Issue Date
2015
MeSH
Algorithms ; Antineoplastic Agents/therapeutic use* ; Biomarkers, Tumor/analysis* ; Biomarkers, Tumor/blood ; Cell Line, Tumor/drug effects* ; Genomics ; Humans ; Neoplasms/drug therapy* ; Precision Medicine* ; Proteomics
Keywords
Targeted therapy ; biomarker ; cancer genomics ; personalized medicine
Abstract
Since the first human cancer cell line, HeLa, was established in the early 1950s, there has been a steady increase in the number and tumor type of available cancer cell line models. Cancer cell lines have made significant contributions to the development of various chemotherapeutic agents. Recent advances in multi-omics technologies have facilitated detailed characterizations of the genomic, transcriptomic, proteomic, and epigenomic profiles of these cancer cell lines. An increasing number of studies employ the power of a cancer cell line panel to provide predictive biomarkers for targeted and cytotoxic agents, including those that are already used in clinical practice. Different types of statistical and machine learning algorithms have been developed to analyze the large-scale data sets that have been produced. However, much work remains to address the discrepancies in drug assay results from different platforms and the frequent failures to translate discoveries from cell line models to the clinic. Nevertheless, continuous expansion of cancer cell line panels should provide unprecedented opportunities to identify new candidate targeted therapies, particularly for the so-called "dark matter" group of cancers, for which pharmacologically tractable driver mutations have not been identified.
Files in This Item:
T201503215.pdf Download
DOI
10.3349/ymj.2015.56.5.1186
Appears in Collections:
1. College of Medicine (의과대학) > BioMedical Science Institute (의생명과학부) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Kim, Hyun Seok(김현석) ORCID logo https://orcid.org/0000-0003-4498-8690
Paik, Soon Myung(백순명) ORCID logo https://orcid.org/0000-0001-9688-6480
Sung, Yeo Jin(성여진)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/141003
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