1.Recent advances in and applications of ex vivo drug sensitivity analysis for blood cancers
Haeryung LEE ; Nahee KO ; Sujin NAMGOONG ; Seunghyok HAM ; Jamin KOO
Blood Research 2024;59():37-
Blood cancers, including leukemia, multiple myeloma, and lymphoma, pose significant challenges owing to their heterogeneous nature and the limitations of traditional treatments. Precision medicine has emerged as a transformative approach that offers tailored therapeutic strategies based on individual patient profiles. Ex vivo drug sensitivity analysis is central to this advancement, which enables testing of patient-derived cancer cells against a panel of therapeutic agents to predict clinical responses. This review provides a comprehensive overview of the latest advancements in ex vivo drug sensitivity analyses and their application in blood cancers. We discuss the development of more comprehensive drug response metrics and the evaluation of drug combinations to identify synergistic interactions.Additionally, we present evaluation of the advanced therapeutics such as antibody–drug conjugates using ex vivo assays. This review describes the critical role of ex vivo drug sensitivity analyses in advancing precision medicine by examining technological innovations and clinical applications. Ultimately, these innovations are paving the way for more effective and individualized treatments, improving patient outcomes, and establishing new standards for the management of blood cancers.
2.Recent advances in and applications of ex vivo drug sensitivity analysis for blood cancers
Haeryung LEE ; Nahee KO ; Sujin NAMGOONG ; Seunghyok HAM ; Jamin KOO
Blood Research 2024;59():37-
Blood cancers, including leukemia, multiple myeloma, and lymphoma, pose significant challenges owing to their heterogeneous nature and the limitations of traditional treatments. Precision medicine has emerged as a transformative approach that offers tailored therapeutic strategies based on individual patient profiles. Ex vivo drug sensitivity analysis is central to this advancement, which enables testing of patient-derived cancer cells against a panel of therapeutic agents to predict clinical responses. This review provides a comprehensive overview of the latest advancements in ex vivo drug sensitivity analyses and their application in blood cancers. We discuss the development of more comprehensive drug response metrics and the evaluation of drug combinations to identify synergistic interactions.Additionally, we present evaluation of the advanced therapeutics such as antibody–drug conjugates using ex vivo assays. This review describes the critical role of ex vivo drug sensitivity analyses in advancing precision medicine by examining technological innovations and clinical applications. Ultimately, these innovations are paving the way for more effective and individualized treatments, improving patient outcomes, and establishing new standards for the management of blood cancers.
3.Recent advances in and applications of ex vivo drug sensitivity analysis for blood cancers
Haeryung LEE ; Nahee KO ; Sujin NAMGOONG ; Seunghyok HAM ; Jamin KOO
Blood Research 2024;59():37-
Blood cancers, including leukemia, multiple myeloma, and lymphoma, pose significant challenges owing to their heterogeneous nature and the limitations of traditional treatments. Precision medicine has emerged as a transformative approach that offers tailored therapeutic strategies based on individual patient profiles. Ex vivo drug sensitivity analysis is central to this advancement, which enables testing of patient-derived cancer cells against a panel of therapeutic agents to predict clinical responses. This review provides a comprehensive overview of the latest advancements in ex vivo drug sensitivity analyses and their application in blood cancers. We discuss the development of more comprehensive drug response metrics and the evaluation of drug combinations to identify synergistic interactions.Additionally, we present evaluation of the advanced therapeutics such as antibody–drug conjugates using ex vivo assays. This review describes the critical role of ex vivo drug sensitivity analyses in advancing precision medicine by examining technological innovations and clinical applications. Ultimately, these innovations are paving the way for more effective and individualized treatments, improving patient outcomes, and establishing new standards for the management of blood cancers.
4.Prediction of itching diagnostic marker through RNA sequencing of contact hypersensitivity and skin scratching stimulation mice models.
Young Won KIM ; Tong ZHOU ; Eun A KO ; Seongtae KIM ; Donghee LEE ; Yelim SEO ; Nahee KWON ; Taeyeon CHOI ; Heejung LIM ; Sungvin CHO ; Gwanhui BAE ; Yuseong HWANG ; Dojin KIM ; Hyewon PARK ; Minjae LEE ; Eunkyung JANG ; Jeongyoon CHOI ; Hyemi BAE ; Inja LIM ; Hyoweon BANG ; Jae Hong KO
The Korean Journal of Physiology and Pharmacology 2019;23(2):151-159
Pruritus (itching) is classically defined as an unpleasant cutaneous sensation that leads to scratching behavior. Although the scientific criteria of classification for pruritic diseases are not clear, it can be divided as acute or chronic by duration of symptoms. In this study, we investigated whether skin injury caused by chemical (contact hypersensitivity, CHS) or physical (skin-scratching stimulation, SSS) stimuli causes initial pruritus and analyzed gene expression profiles systemically to determine how changes in skin gene expression in the affected area are related to itching. In both CHS and SSS, we ranked the Gene Ontology Biological Process terms that are generally associated with changes. The factors associated with upregulation were keratinization, inflammatory response and neutrophil chemotaxis. The Kyoto Encyclopedia of Genes and Genomes pathway shows the difference of immune system, cell growth and death, signaling molecules and interactions, and signal transduction pathways. Il1a , Il1b and Il22 were upregulated in the CHS, and Tnf, Tnfrsf1b, Il1b, Il1r1 and Il6 were upregulated in the SSS. Trpc1 channel genes were observed in representative itching-related candidate genes. By comparing and analyzing RNA-sequencing data obtained from the skin tissue of each animal model in these characteristic stages, it is possible to find useful diagnostic markers for the treatment of itching, to diagnose itching causes and to apply customized treatment.
Animals
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Biological Processes
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Chemotaxis
;
Classification
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Cytokines
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Dermatitis, Contact*
;
Gene Expression
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Gene Ontology
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Genome
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Hypersensitivity
;
Immune System
;
Interleukin-6
;
Mice*
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Models, Animal
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Neutrophils
;
Pruritus*
;
RNA*
;
Sensation
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Sequence Analysis, RNA*
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Signal Transduction
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Skin*
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Transcriptome
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Transient Receptor Potential Channels
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Up-Regulation
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Wound Healing