1.BioStore: A Repository System for Registering and Distributing Public Biology Databases.
Hongseok TAE ; Jeong Min HAN ; Bu Young AHN ; Kiejung PARK
Genomics & Informatics 2009;7(1):49-51
Although abundant biology data have been accumulated in public biology databases, such as GenBank and PIR, few easy-interface services are provided for users to access or update them. We have developed a system, named BioStore, that is composed of several programs to aid users to not only access public data but also share their own data easily. The service can be used for maintaining a local database as a repository of raw data files of several public databases and distributing the data files to other users. Currently, BioStore manipulates major bio-databases and will expand to include more databases and more useful interfaces.
Biology
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Databases, Nucleic Acid
;
Formycins
;
Ribonucleotides
;
Information Storage and Retrieval
2.A Visualization Tool for Computational Analysis of DNA Methylation Level Using Bisulfite Sequencing Data.
Genomics & Informatics 2011;9(3):136-137
Methylation of cytosine is a post-synthesis modification that does not affect the primary DNA sequence but greatly influences gene expression level and phenotypes of an organism. As high-throughput sequencing of bisulfite-treated DNA is the most efficient method to identify methylated sites, several tools to map sequencing reads on a reference are available. But tools to visualize and to interpret the methylation level of methylation sites are currently insufficient. Herein, we present a novel tool to visualize the methylation level of CpG sites.
Base Sequence
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Cytosine
;
DNA
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DNA Methylation
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Epigenomics
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Gene Expression
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Methylation
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Phenotype
;
Sulfites
3.A Bio-database Management System for the Monitoring and Automatic FTP of Public Databases.
Hongseok TAE ; Jeong Min HAN ; Bu Young AHN ; Kiejung PARK
Genomics & Informatics 2008;6(2):95-97
Many bioinformatics sites have managed local bio-databases, including major databases such as GenBank and PIR with update load. We have developed several programs to monitor the update status of these databases and to FTP them automatically. These programs can be used for maintaining local bio-databases as recent versions and providing up-to-date databases through FTP sites. Currently, the program serves major bio-databases and will extend to accommodate many more bio-databases.
Computational Biology
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Databases, Nucleic Acid
;
Formycins
;
Organothiophosphorus Compounds
;
Ribonucleotides
4.Clinical and Genomic Characteristics of Adult Diffuse Midline Glioma
Changhee PARK ; Tae Min KIM ; Jeong Mo BAE ; Hongseok YUN ; Jin Wook KIM ; Seung Hong CHOI ; Soon-Tae LEE ; Joo Ho LEE ; Sung-Hye PARK ; Chul-Kee PARK
Cancer Research and Treatment 2021;53(2):389-398
Purpose:
The treatment outcomes and genomic profiles of diffuse midline glioma (DMG) in adult patients are rarely characterized. We performed a retrospective study to evaluate the clinicogenomic profiles of adult patients with brain DMG.
Materials and Methods:
Patients aged ≥ 18 years diagnosed with brain DMG at Seoul National University Hospital were included. The clinicopathological parameters, treatment outcomes, survival, and genomic profiles using 82-gene targeted next-generation sequencing (NGS) were analyzed. The 6-month progression-free survival (PFS6) after radiotherapy and overall survival (OS) were evaluated.
Results:
Thirty-three patients with H3-mutant brain DMG were identified. The median OS from diagnosis was 21.8 months (95% confidence interval [CI], 13.2 to not available [NA]) and involvement of the ponto-medullary area tended to have poor OS (median OS, 20.4 months [95% CI, 9.3 to NA] vs. 43.6 months [95% CI, 18.2 to NA]; p=0.07). Twenty-four patients (72.7%) received radiotherapy with or without temozolomide. The PFS6 rate was 83.3% (n=20). Patients without progression at 6 months showed significantly prolonged OS compared with those with progression at 6 months (median OS, 24.9 months [95% CI, 20.4 to NA] vs. 10.8 months [95% CI, 4.0 to NA]; p=0.02, respectively). Targeted NGS was performed in 13 patients with DMG, among whom nine (69.2%) harbored concurrent TP53 mutation. Two patients (DMG14 and DMG23) with PIK3CAR38S+E545K and KRASG12A mutations received matched therapies. Patient DMG14 received sirolimus with a PFS of 8.4 months.
Conclusion
PFS6 after radiotherapy was associated with prolonged survival in adult patients with DMG. Genome-based matched therapy may be an encouraging approach for progressive adult patients with DMG.
5.Clinical and Genomic Characteristics of Adult Diffuse Midline Glioma
Changhee PARK ; Tae Min KIM ; Jeong Mo BAE ; Hongseok YUN ; Jin Wook KIM ; Seung Hong CHOI ; Soon-Tae LEE ; Joo Ho LEE ; Sung-Hye PARK ; Chul-Kee PARK
Cancer Research and Treatment 2021;53(2):389-398
Purpose:
The treatment outcomes and genomic profiles of diffuse midline glioma (DMG) in adult patients are rarely characterized. We performed a retrospective study to evaluate the clinicogenomic profiles of adult patients with brain DMG.
Materials and Methods:
Patients aged ≥ 18 years diagnosed with brain DMG at Seoul National University Hospital were included. The clinicopathological parameters, treatment outcomes, survival, and genomic profiles using 82-gene targeted next-generation sequencing (NGS) were analyzed. The 6-month progression-free survival (PFS6) after radiotherapy and overall survival (OS) were evaluated.
Results:
Thirty-three patients with H3-mutant brain DMG were identified. The median OS from diagnosis was 21.8 months (95% confidence interval [CI], 13.2 to not available [NA]) and involvement of the ponto-medullary area tended to have poor OS (median OS, 20.4 months [95% CI, 9.3 to NA] vs. 43.6 months [95% CI, 18.2 to NA]; p=0.07). Twenty-four patients (72.7%) received radiotherapy with or without temozolomide. The PFS6 rate was 83.3% (n=20). Patients without progression at 6 months showed significantly prolonged OS compared with those with progression at 6 months (median OS, 24.9 months [95% CI, 20.4 to NA] vs. 10.8 months [95% CI, 4.0 to NA]; p=0.02, respectively). Targeted NGS was performed in 13 patients with DMG, among whom nine (69.2%) harbored concurrent TP53 mutation. Two patients (DMG14 and DMG23) with PIK3CAR38S+E545K and KRASG12A mutations received matched therapies. Patient DMG14 received sirolimus with a PFS of 8.4 months.
Conclusion
PFS6 after radiotherapy was associated with prolonged survival in adult patients with DMG. Genome-based matched therapy may be an encouraging approach for progressive adult patients with DMG.
6.Recommendations for the Use of Next-Generation Sequencing and the Molecular Tumor Board for Patients with Advanced Cancer: A Report from KSMO and KCSG Precision Medicine Networking Group
Shinkyo YOON ; Miso KIM ; Yong Sang HONG ; Han Sang KIM ; Seung Tae KIM ; Jihun KIM ; Hongseok YUN ; Changhoon YOO ; Hee Kyung AHN ; Hyo Song KIM ; In Hee LEE ; In-Ho KIM ; Inkeun PARK ; Jae Ho JEONG ; Jaekyung CHEON ; Jin Won KIM ; Jina YUN ; Sun Min LIM ; Yongjun CHA ; Se Jin JANG ; Dae Young ZANG ; Tae Won KIM ; Jin Hyoung KANG ; Jee Hyun KIM
Cancer Research and Treatment 2022;54(1):1-9
Next-generation sequencing (NGS) is becoming essential in the fields of precision oncology. With implementation of NGS in daily clinic, the needs for continued education, facilitated interpretation of NGS results and optimal treatment delivery based on NGS results have been addressed. Molecular tumor board (MTB) is multidisciplinary approach to keep pace with the growing knowledge of complex molecular alterations in patients with advanced solid cancer. Although guidelines for NGS use and MTB have been developed in western countries, there is limitation for reflection of Korea’s public health environment and daily clinical practice. These recommendations provide a critical guidance from NGS panel testing to final treatment decision based on MTB discussion.
7.ERRATUM: Recommendations for the Use of Next-Generation Sequencing and the Molecular Tumor Board for Patients with Advanced Cancer: A Report from KSMO and KCSG Precision Medicine Networking Group
Shinkyo YOON ; Miso KIM ; Yong Sang HONG ; Han Sang KIM ; Seung Tae KIM ; Jihun KIM ; Hongseok YUN ; Changhoon YOO ; Hee Kyung AHN ; Hyo Song KIM ; In Hee LEE ; In-Ho KIM ; Inkeun PARK ; Jae Ho JEONG ; Jaekyung CHEON ; Jin Won KIM ; Jina YUN ; Sun Min LIM ; Yongjun CHA ; Se Jin JANG ; Dae Young ZANG ; Tae Won KIM ; Jin Hyoung KANG ; Jee Hyun KIM
Cancer Research and Treatment 2023;55(3):1061-1061