Integrated analysis of prognostic gene expression profiles from hepatitis B virus-positive hepatocellular carcinoma and adjacent liver tissue

Bu Yeo Kim, Kyung Suk Suh, Je Geun Lee, Seon Rang Woo, In Chul Park, Sun Hoo Park, Chul Ju Han, Sang Bum Kim, Sook Hyang Jeong, Young Il Yeom, Suk Jin Yang, Chang Min Kim, Su Jin Cho, Young Do Yoo, Myung Haing Cho, Ja June Jang, Dong Wook Choi, Kee Ho Lee

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
JournalAnnals of Surgical Oncology
Volume19
Issue numberSUPPL. 3
DOIs
Publication statusPublished - 2012 Jul 1

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Hepatitis B virus
Hepatocellular Carcinoma
Liver
Neoplasms
Survival
Gene Expression
Recurrence
Genes
Blood Vessels
Cell Differentiation

ASJC Scopus subject areas

  • Surgery
  • Oncology

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Integrated analysis of prognostic gene expression profiles from hepatitis B virus-positive hepatocellular carcinoma and adjacent liver tissue. / Kim, Bu Yeo; Suh, Kyung Suk; Lee, Je Geun; Woo, Seon Rang; Park, In Chul; Park, Sun Hoo; Han, Chul Ju; Kim, Sang Bum; Jeong, Sook Hyang; Yeom, Young Il; Yang, Suk Jin; Kim, Chang Min; Cho, Su Jin; Yoo, Young Do; Cho, Myung Haing; Jang, Ja June; Choi, Dong Wook; Lee, Kee Ho.

In: Annals of Surgical Oncology, Vol. 19, No. SUPPL. 3, 01.07.2012.

Research output: Contribution to journalArticle

Kim, BY, Suh, KS, Lee, JG, Woo, SR, Park, IC, Park, SH, Han, CJ, Kim, SB, Jeong, SH, Yeom, YI, Yang, SJ, Kim, CM, Cho, SJ, Yoo, YD, Cho, MH, Jang, JJ, Choi, DW & Lee, KH 2012, 'Integrated analysis of prognostic gene expression profiles from hepatitis B virus-positive hepatocellular carcinoma and adjacent liver tissue', Annals of Surgical Oncology, vol. 19, no. SUPPL. 3. https://doi.org/10.1245/s10434-011-1709-0
Kim, Bu Yeo ; Suh, Kyung Suk ; Lee, Je Geun ; Woo, Seon Rang ; Park, In Chul ; Park, Sun Hoo ; Han, Chul Ju ; Kim, Sang Bum ; Jeong, Sook Hyang ; Yeom, Young Il ; Yang, Suk Jin ; Kim, Chang Min ; Cho, Su Jin ; Yoo, Young Do ; Cho, Myung Haing ; Jang, Ja June ; Choi, Dong Wook ; Lee, Kee Ho. / Integrated analysis of prognostic gene expression profiles from hepatitis B virus-positive hepatocellular carcinoma and adjacent liver tissue. In: Annals of Surgical Oncology. 2012 ; Vol. 19, No. SUPPL. 3.
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AU - Suh, Kyung Suk

AU - Lee, Je Geun

AU - Woo, Seon Rang

AU - Park, In Chul

AU - Park, Sun Hoo

AU - Han, Chul Ju

AU - Kim, Sang Bum

AU - Jeong, Sook Hyang

AU - Yeom, Young Il

AU - Yang, Suk Jin

AU - Kim, Chang Min

AU - Cho, Su Jin

AU - Yoo, Young Do

AU - Cho, Myung Haing

AU - Jang, Ja June

AU - Choi, Dong Wook

AU - Lee, Kee Ho

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N2 - 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.

AB - 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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