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- 저자 : Hwa Chanwoong (검색결과 3 건)
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Oh Jaeik,Hwa Chanwoong,Jang Dongjun,Shin Seungjae,Lee Soojin,Kim Jiwon,Lee Sang Eun,Jung Hae Rim,Oh Yumi,Jang Giyong,Kwon Obin,An Joon-Yong,Cho Sung-Yup 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
N6-Methyladenosine (m6A) RNA modification plays a critical role in the posttranscriptional regulation of gene expression. Alterations in cellular m6A levels and m6A-related genes have been reported in many cancers, but whether they play oncogenic or tumor-suppressive roles is inconsistent across cancer types. We investigated common features of alterations in m6A modification and m6A-related genes during carcinogenesis by analyzing transcriptome data of 11 solid tumors from The Cancer Genome Atlas database and our in-house gastric cancer cohort. We calculated m6A writer (W), eraser (E), and reader (R) signatures based on corresponding gene expression. Alterations in the W and E signatures varied according to the cancer type, with a strong positive correlation between the W and E signatures in all types. When the patients were divided according to m6A levels estimated by the ratio of the W and E signatures, the prognostic effect of m6A was inconsistent according to the cancer type. The R and especially the R2 signatures (based on the expression of IGF2BPs) were upregulated in all cancers. Patients with a high R2 signature exhibited poor prognosis across types, which was attributed to enrichment of cell cycle- and epithelial–mesenchymal transition-related pathways. Our study demonstrates common features of m6A alterations across cancer types and suggests that targeting m6A R proteins is a promising strategy for cancer treatment.
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Burnout of Faculty Members of Medical Schools in Korea
Seo Ji-Hyun,Bae Hwa-ok,Kim Bong Jo,Huh Sun,Ahn Young Joon,Jung Sung Soo,Kim Chanwoong,Im Sunju,Kim Jae-Bum,Cho Seong-Joon,Han Hee Chul,Lee Young-Mee 대한의학회 2022 Journal of Korean medical science Vol.37 No.9
Background: There is no national survey on medical school faculty members’ burnout in Korea. This study aimed to investigate burnout levels and explore possible factors related to burnout among faculty members of Korean medical schools. Methods: An anonymous online questionnaire was distributed to 40 Korean medical schools from October 2020 to December 2020. Burnout was measured by a modified and revalidated version of the Maslach Burnout Inventory-Human Service Survey. Results: A total of 996 faculty members participated in the survey. Of them, 855 answered the burnout questions, and 829 completed all the questions in the questionnaire. A significant number of faculty members showed a high level of burnout in each sub-dimension: 34% in emotional exhaustion, 66.3% in depersonalization, and 92.4% in reduced personal accomplishment. A total of 31.5% of faculty members revealed a high level of burnout in two sub-dimensions, while 30.5% revealed a high level of burnout in all three sub-dimensions. Woman faculty members or those younger than 40 reported significantly higher emotional exhaustion and depersonalization. Long working hours (≥ 80 hours/week) showed the highest reduced personal accomplishment scores (F = 4.023, P = 0.018). The most significant stressor or burnout source was “excessive regulation by the government or university.” The research was the most exasperating task, but the education was the least stressful. Conclusion: This first nationwide study alerts that a significant number of faculty members in Korean medical schools seem to suffer from a high level of burnout. Further studies are necessary for identifying the burnout rate, related factors, and strategies to overcome physician burnout.
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Integrative Multi-Omics Approaches in Cancer Research: From Biological Networks to Clinical Subtypes
Heo, Yong Jin,Hwa, Chanwoong,Lee, Gang-Hee,Park, Jae-Min,An, Joon-Yong Korean Society for Molecular and Cellular Biology 2021 Molecules and cells Vol.44 No.7
Multi-omics approaches are novel frameworks that integrate multiple omics datasets generated from the same patients to better understand the molecular and clinical features of cancers. A wide range of emerging omics and multi-view clustering algorithms now provide unprecedented opportunities to further classify cancers into subtypes, improve the survival prediction and therapeutic outcome of these subtypes, and understand key pathophysiological processes through different molecular layers. In this review, we overview the concept and rationale of multi-omics approaches in cancer research. We also introduce recent advances in the development of multi-omics algorithms and integration methods for multiple-layered datasets from cancer patients. Finally, we summarize the latest findings from large-scale multi-omics studies of various cancers and their implications for patient subtyping and drug development.
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