Integrated Analysis of Prognostic Gene Expression Profiles from Hepatitis B Virus-Positive Hepatocellular Carcinoma and Adjacent Liver Tissue
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  • 作者:Bu-Yeo Kim PhD (1)
    Kyung-Suk Suh MD
    ; PhD (2)
    Je-Geun Lee PhD (1)
    Seon Rang Woo PhD (1)
    In-Chul Park PhD
    ; (1)
    Sun-Hoo Park MD
    ; PhD (3)
    Chul Ju Han MD
    ; PhD (1) (4)
    Sang-Bum Kim MD
    ; PhD (1) (5)
    Sook-Hyang Jeong MD
    ; PhD (1) (6)
    Young Il Yeom PhD (7)
    Suk-Jin Yang PhD (7)
    Chang-Min Kim MD
    ; PhD (8)
    Su Jin Cho PhD (9)
    Young Do Yoo PhD (10)
    Myung-Haing Cho PhD (11)
    Ja June Jang MD
    ; PhD (12)
    Dong Wook Choi MD
    ; PhD (1) (13)
    Kee-Ho Lee PhD (1)
  • 刊名:Annals of Surgical Oncology
  • 出版年:2012
  • 出版时间:July 2012
  • 年:2012
  • 卷:19
  • 期:3-supp
  • 页码:328-338
  • 全文大小:1377KB
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  • 作者单位:Bu-Yeo Kim PhD (1)
    Kyung-Suk Suh MD, PhD (2)
    Je-Geun Lee PhD (1)
    Seon Rang Woo PhD (1)
    In-Chul Park PhD, (1)
    Sun-Hoo Park MD, PhD (3)
    Chul Ju Han MD, PhD (1) (4)
    Sang-Bum Kim MD, PhD (1) (5)
    Sook-Hyang Jeong MD, PhD (1) (6)
    Young Il Yeom PhD (7)
    Suk-Jin Yang PhD (7)
    Chang-Min Kim MD, PhD (8)
    Su Jin Cho PhD (9)
    Young Do Yoo PhD (10)
    Myung-Haing Cho PhD (11)
    Ja June Jang MD, PhD (12)
    Dong Wook Choi MD, PhD (1) (13)
    Kee-Ho Lee PhD (1)

    1. Division of Radiation Cancer Research, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
    2. Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
    3. Department of Pathology, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
    4. Department of Internal Medicine, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
    5. Department of Surgery, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
    6. Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
    7. Medical Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
    8. Department of Internal Medicine, National Cancer Center, Goyang, Korea
    9. Department of Pathology, Graduate School of Medicine, Korea University, Seoul, Korea
    10. Laboratory of Molecular Cell Biology, Graduate School of Medicine, Korea University, Seoul, Korea
    11. Laboratory of Toxicology, College of Veterinary Medicine, Seoul National University, Seoul, Korea
    12. Department of Pathology, Seoul National University College of Medicine, Seoul, Korea
    13. Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
文摘
Background The tissue environment in the region of hepatocellular carcinoma (HCC) influences both vascular invasion and recurrence. Thus, HCC patient prognosis depends on the characteristics not only of the tumor but also those of adjacent surrounding liver tissue. Materials and Methods Expression profiles of both tumor and adjacent liver tissue following curative resection were measured to discriminate 56 hepatitis B virus-positive HCC patients into subgroups based on survival risk. This approach was further tested in 40 patients. Results Expression profiles of both tumor and adjacent liver tissue successfully discriminated 56 training samples into 2 subgroups, those at low- or high-risk for survival and recurrence. However, the prognostic gene set selected for tumor tissue was quite different from that for adjacent tissues. This variation in prognostic genes resulted in a change in allocation of patients within each low- or high-risk group. Combination of survival subgroups from tumor and adjacent liver tissue significantly improved the prediction of prognostic outcome. This integrative approach was confirmed to be effective in a further 40 test patients. A clinicopathological study showed that survival subgroups divided by tumor and adjacent liver tissue gene expression were also statistically associated with UICC stage and extent of cell differentiation, respectively. Conclusions Variation in gene expression during the nontumor stage as well as the tumor stage may affect the prognosis of HCC patients, and integration of the gene expression profiles of HCC and adjacent liver tissue increases discriminatory effectiveness between patient groups, predicting clinical outcomes with enhanced statistical reliability.

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