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    <title>ScholarWorks Community:</title>
    <link>https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/196</link>
    <description />
    <pubDate>Wed, 24 Dec 2025 18:20:35 GMT</pubDate>
    <dc:date>2025-12-24T18:20:35Z</dc:date>
    <item>
      <title>The novel HLA-C allele, &amp;lt;i&amp;gt;HLA-C*01:02:84&amp;lt;/i&amp;gt; allele, identified in a solid organ transplantation donor</title>
      <link>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64302</link>
      <description>Title: The novel HLA-C allele, &amp;lt;i&amp;gt;HLA-C*01:02:84&amp;lt;/i&amp;gt; allele, identified in a solid organ transplantation donor
Authors: Yang, Jin Hyuk; Yang, John Jeongseok; Oh, Heung-Bum
Abstract: HLA-C*01:02:84 differs from HLA-C*01:02:01:01 by one synonymous nucleotide substitution in codon 48.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64302</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Identification of a Complex Karyotype Signature with Clinical Implications in AML and MDS-EB Using Gene Expression Profiling</title>
      <link>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64388</link>
      <description>Title: Identification of a Complex Karyotype Signature with Clinical Implications in AML and MDS-EB Using Gene Expression Profiling
Authors: Lee, Cheonghwa; Kim, Ha Nui; Kwon, Jung Ah; Hwang, Jinha; Park, Ji-Ye; Shin, Ok Sarah; Yoon, Soo-Young; Yoon, Jung
Abstract: Complex karyotype (CK) is associated with a poor prognosis in both acute myeloid leukemia (AML) and myelodysplastic syndrome with excess blasts (MDS-EB). Transcriptomic analyses have improved our understanding of the disease and risk stratification of myeloid neoplasms; however, CK-specific gene expression signatures have been rarely investigated. In this study, we developed and validated a CK-specific gene expression signature. Differential gene expression analysis between the CK and non-CK groups using data from 348 patients with AML and MDS-EB from four cohorts revealed enrichment of the downregulated genes localized on chromosome 5q or 7q, suggesting that haploinsufficiency due to the deletion of these chromosomes possibly underlies CK pathogenesis. We built a robust transcriptional model for CK prediction using LASSO regression for gene subset selection and validated it using the leave-one-out cross-validation method for fitting the logistic regression model. We established a 10-gene CK signature (CKS) predictive of CK with high predictive accuracy (accuracy 94.22%; AUC 0.977). CKS was significantly associated with shorter overall survival in three independent cohorts, and was comparable to that of previously established risk stratification models for AML. Furthermore, we explored of therapeutic targets among the genes comprising CKS and identified the dysregulated expression of superoxide dismutase 1 (SOD1) gene, which is potentially amenable to SOD1 inhibitors. © 2023 by the authors.</description>
      <pubDate>Wed, 01 Nov 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/64388</guid>
      <dc:date>2023-11-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Comparison of Four T-cell Assays and Two Binding Antibody Assays in SARS-CoV-2 Vaccinees With or Without Omicron Breakthrough Infection</title>
      <link>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/63801</link>
      <description>Title: Comparison of Four T-cell Assays and Two Binding Antibody Assays in SARS-CoV-2 Vaccinees With or Without Omicron Breakthrough Infection
Authors: Seo, Yeon Ju; Oh, Inseong; Nam, Minjeong; Shin, Sue; Roh, Eun Youn; Song, Eun Young
Abstract: Background: Several T-cell response assays for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are available; however, their comparability and correlations with antibody responses remain unclear. We compared four SARS-CoV-2 T-cell response assays and two anti-SARS-CoV-2 spike antibody assays. Methods: We enrolled 89 participants who had received a booster dose of the BNT162b2 vaccine after two doses of the ChAdOx1 or BNT162b2 vaccine. Fifty-six participants without breakthrough infection (BI) (ChAdOx1/BNT162b2 group: N=27; BNT162b2 group: N= 29) and 33 with BI were included. We evaluated two whole-blood interferon-gamma release assays (IGRAs) (QuantiFERON and Euroimmun), T-SPOT.COVID, an in-house enzyme-linked immunospot (ELISPOT) assay (targeting the spike and nucleocapsid peptides of wild-type and Omicron SARS-CoV-2), Abbott IgG II Quant, and Elecsys Anti-S, using Mann-Whitney U, Wilcoxon signed-rank, and Spearman&amp;apos;s correlation tests.Results: The correlations between the IGRAs and between the ELISPOT assays (&amp;amp; rho;=0.60- 0.70) were stronger than those between the IGRAs and ELISPOT assays (&amp;amp; rho;=0.33-0.57). T-SPOT.COVID showed a strong correlation with Omicron ELISPOT (&amp;amp; rho;= 0.70). The anti-spike antibody assays showed moderate correlations with T-SPOT.COVID, Euroimmun IGRA, and ELISPOT (&amp;amp; rho;=0.43-0.62). Correlations tended to be higher in the BI than in the noninfected group, indicating that infection induces a stronger immune response.Conclusions: T-cell response assays show moderate to strong correlations, particularly when using the same platform. T-SPOT.COVID exhibits potential for estimating immune responses to the Omicron variant. To accurately define SARS-CoV-2 immune status, both T-cell and B-cell response measurements are necessary.</description>
      <pubDate>Wed, 01 Nov 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/63801</guid>
      <dc:date>2023-11-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Performance evaluation and clinical impact of the Oncomine Myeloid Research Assay for gene expression analysis in myeloid haematologic malignancies</title>
      <link>https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/61918</link>
      <description>Title: Performance evaluation and clinical impact of the Oncomine Myeloid Research Assay for gene expression analysis in myeloid haematologic malignancies
Authors: Jeon, Min Ji; Yu, Eun Sang; Kim, Dae Sik; Choi, Chul Won; Kim, Ha Nui; Kwon, Jeong Ah; Yoon, Soo-Young; Yoon, Jung
Abstract: Aim
Gene expression analysis facilitates the detection of diagnostic and prognostic biomarkers for myeloid haematological malignancies. The Oncomine Myeloid Research Assay (OMA; Thermo Fisher Scientific, Massachusetts, USA) provides a comprehensive analysis of gene expression of five target genes, along with gene alteration and fusion. Here, we present the performance of the OMA for gene expression analysis.

Methods
In total, 53 RNA samples from patients diagnosed with acute myeloid leukaemia (AML) or myelodysplastic syndrome were included. Of these 53 samples, 3 were evaluated for reproducibility and 50 were evaluated for comparison with RNA-sequencing (RNA-seq). The prognostic impact of the gene expression profile produced by both OMA and RNA-seq in AML was investigated using follow-up data from 33 patients with AML.

Results
The OMA showed good intrarun and interrun reproducibility. Compared with the RNA-seq results, high correlations were found in BAALC, MECOM and WT1 (all r&amp;gt;0.9), with moderate correlations in MYC (r=0.75, p&amp;lt;0.001) and SMC1A (r=0.42, p=0.002). The agreement between OMA and RNA-seq in classifying the dysregulated expression group was almost perfect, except for SMC1A (κ=0.175). Among these five genes, only BAALC showed a significant clinical impact in patients with AML. Patients with high BAALC expression showed significantly shorter overall survival based on both OMA (p=0.037) and RNA-seq (p=0.003).

Conclusions
OMA gene expression analysis offers reproducible and accurate gene expression data for most targeted genes and demonstrates the utility of BAALC expression as a prognostic marker in AML.</description>
      <pubDate>Wed, 01 Nov 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://scholarworks.korea.ac.kr/kumedicine/handle/2021.sw.kumedicine/61918</guid>
      <dc:date>2023-11-01T00:00:00Z</dc:date>
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