Search Results - "Jeong, Dae Cheon"

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  1. 1

    The AP2M1 gene expression is a promising biomarker for predicting survival of patients with hepatocellular carcinoma by Cho, Sung Hwan, Pak, Kyoungjune, Jeong, Dae Cheon, Han, Myoung‐Eun, Oh, Sae‐Ock, Kim, Yun Hak

    Published in Journal of cellular biochemistry (01-03-2019)
    “…There is a growing need for the discovery of new prognostic factors for cases where the scoring and staging system of hepatocellular carcinoma (HCC) does not…”
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    Journal Article
  2. 2

    A User-Friendly, Web-Based Integrative Tool (ESurv) for Survival Analysis: Development and Validation Study by Pak, Kyoungjune, Oh, Sae-Ock, Goh, Tae Sik, Heo, Hye Jin, Han, Myoung-Eun, Jeong, Dae Cheon, Lee, Chi-Seung, Sun, Hokeun, Kang, Junho, Choi, Suji, Lee, Soohwan, Kwon, Eun Jung, Kang, Ji Wan, Kim, Yun Hak

    Published in Journal of medical Internet research (05-05-2020)
    “…Prognostic genes or gene signatures have been widely used to predict patient survival and aid in making decisions pertaining to therapeutic actions. Although…”
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  3. 3

    Prognostic scoring system for osteosarcoma using network‐regularized high‐dimensional Cox‐regression analysis and potential therapeutic targets by Goh, Tae Sik, Lee, Jung Sub, Il Kim, Jeung, Park, Yong Geon, Pak, Kyoungjune, Jeong, Dae Cheon, Oh, Sae‐Ock, Kim, Yun Hak

    Published in Journal of cellular physiology (01-08-2019)
    “…With the recent emphasis on the importance of personalized genomic medicine, studies have performed prognostic stratification using gene signatures in cancers…”
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  4. 4

    Outcome prediction with the revised American joint committee on cancer staging system and American thyroid association guidelines for thyroid cancer by Suh, Sunghwan, Kim, Yun Hak, Goh, Tae Sik, Lee, Jin, Jeong, Dae Cheon, Oh, Sae-Ock, Hong, Jong Chul, Kim, Seong Jang, Kim, In Joo, Pak, Kyoungjune

    Published in Endocrine (01-12-2017)
    “…Background Several staging systems have been developed to predict the risk of mortality in patients with differentiated thyroid cancer (DTC). However, none of…”
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  5. 5

    Prognostic role of TPD52 in acute myeloid leukemia: A retrospective multicohort analysis by Ha, Mihyang, Han, Myoung‐Eun, Kim, Ji‐Young, Jeong, Dae Cheon, Oh, Sae‐Ock, Kim, Yun Hak

    Published in Journal of cellular biochemistry (01-03-2019)
    “…Generating accurate prognoses is extremely important for treating patients with cancer. Prognostic prediction based on messenger RNA (mRNA) expression has…”
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  6. 6

    Expression and prognostic significance of zinc fingers and homeoboxes family members in renal cell carcinoma by Kwon, Ryuk-Jun, Kim, Yun Hak, Jeong, Dae Cheon, Han, Myoung-Eun, Kim, Ji-Young, Liu, Liangwen, Jung, Jin-Sup, Oh, Sae-Ock

    Published in PloS one (02-02-2017)
    “…Zinc fingers and homeoboxes (ZHX) is a transcription repressor family that contains three members; ZHX1, ZHX2, and ZHX3. Although ZHX family members have been…”
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  7. 7

    Development of a risk scoring system for patients with papillary thyroid cancer by Pak, Kyoungjune, Kim, Yun Hak, Suh, Sunghwan, Goh, Tae Sik, Jeong, Dae Cheon, Kim, Seong Jang, Kim, In Joo, Han, Myoung‐Eun, Oh, Sae‐Ock

    Published in Journal of cellular and molecular medicine (01-04-2019)
    “…As the importance of personalized therapeutics in aggressive papillary thyroid cancer (PTC) increases, accurate risk stratification is required. To develop a…”
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  8. 8

    Prognostic significance of EIF4G1 in patients with pancreatic ductal adenocarcinoma by Goh, Tae Sik, Ha, Mihyang, Lee, Jung Sub, Jeong, Dae Cheon, Jung, Eun Sang, Han, Myoung-Eun, Kim, Yun Hak, Oh, Sae-Ock

    Published in OncoTargets and therapy (01-01-2019)
    “…Advances in genomics have greatly improved the survival rate in cancer patients. However, due to genetic heterogeneity, pancreatic ductal adenocarcinoma (PDAC)…”
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  9. 9

    mRNA Expression of SLC5A5 and SLC2A Family Genes in Papillary Thyroid Cancer: An Analysis of The Cancer Genome Atlas by Suh, Sunghwan, Kim, Yun Hak, Goh, Tae Sik, Jeong, Dae Cheon, Lee, Chi Seung, Jang, Jeon Yeob, Cha, Wonjae, Han, Myoung Eun, Kim, Seong Jang, Kim, In Joo, Pak, Kyoungjune

    Published in Yonsei medical journal (01-08-2018)
    “…The present study investigated the dynamics and prognostic role of messenger RNA (mRNA) expression responsible for ¹⁸F-fluorodeoxyglucose (FDG) uptake in FDG…”
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    Journal Article
  10. 10

    TMEM18: A Novel Prognostic Marker in Acute Myeloid Leukemia by Ha, Mihyang, Kim, Ji-Young, Han, Myoung-Eun, Kim, Ga Hyun, Park, Si Young, Jeong, Dae Cheon, Oh, Sae-Ock, Kim, Yun Hak

    Published in Acta haematologica (01-01-2018)
    “…Certain nuclear envelope proteins are associated with important cancer cell characteristics, including migration and proliferation. Abnormal expression of and…”
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  11. 11

    SLC2A2 (GLUT2) as a novel prognostic factor for hepatocellular carcinoma by Kim, Yun Hak, Jeong, Dae Cheon, Pak, Kyoungjune, Han, Myoung-Eun, Kim, Ji-Young, Liangwen, Liu, Kim, Hyun Jin, Kim, Tae Woo, Kim, Tae Hwa, Hyun, Dong Woo, Oh, Sae-Ock

    Published in Oncotarget (15-09-2017)
    “…High rates of glucose transport via solute carrier (SLC2A, GLUT) family members are required to satisfy the high metabolic demands of cancer cells, and because…”
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  12. 12

    Prognostic Value of MicroRNAs in Coronary Artery Diseases: A Meta-Analysis by Kim, Ji Suk, Pak, Kyoungjune, Goh, Tae Sik, Jeong, Dae Cheon, Han, Myoung Eun, Kim, Jihyun, Oh, Sae Ock, Kim, Chi Dae, Kim, Yun Hak

    Published in Yonsei medical journal (01-06-2018)
    “…Coronary artery diseases (CADs) are the leading causes of death in the world. Recent studies have reported that differentially expressed microRNAs (miRNAs) are…”
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  13. 13

    Gene network inherent in genomic big data improves the accuracy of prognostic prediction for cancer patients by Kim, Yun Hak, Jeong, Dae Cheon, Pak, Kyoungjune, Goh, Tae Sik, Lee, Chi-Seung, Han, Myoung-Eun, Kim, Ji-Young, Liangwen, Liu, Kim, Chi Dae, Jang, Jeon Yeob, Cha, Wonjae, Oh, Sae-Ock

    Published in Oncotarget (29-09-2017)
    “…Accurate prediction of prognosis is critical for therapeutic decisions regarding cancer patients. Many previously developed prognostic scoring systems have…”
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