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Identification of metastasis-related microRNAs in hepatocellular carcinoma

  • Anuradha Budhu
  • , Hu Liang Jia
  • , Marshonna Forgues
  • , Chang Gong Liu
  • , David Goldstein
  • , Amy Lam
  • , Krista A. Zanetti
  • , Qing Hai Ye
  • , Lun Xiu Qin
  • , Carlo M. Croce
  • , Zhao You Tang
  • , Wei Wang Xin

Research output: Contribution to journalArticlepeer-review

Abstract

MicroRNAs (miRNAs) have been used as cancer-related biomarkers. Hepatocellular carcinoma (HCC) is an aggressive cancer with a dismal outcome largely due to metastasis and postsurgical recurrence. We investigated whether the expression of certain miRNAs are associated with HCC metastasis. We examined the miRNA expression profiles of 482 cancerous and noncancerous specimens from radical resection of 241 patients with HCC. Using a supervised algorithm and a clinically well-defined cohort of 131 cases, we built a unique 20-miRNA metastasis signature that could significantly predict (P < 0.001) primary HCC tissues with venous metastases from metastasis-free solitary tumors with 10-fold cross-validation. However, significant miRNAs could not be identified from the corresponding noncancerous hepatic tissues. A survival risk prediction analysis revealed that a majority of the metastasis-related miRNAs were associated with survival. Furthermore, the 20-miRNA tumor signature was validated in 110 additional cases as a significant independent predictor of survival (P = 0.009) and was significantly associated with both survival and relapse in 89 cases of early stage HCC (P = 0.022 and 0.002, respectively). These 20 miRNAs may provide a simple profiling method to assist in identifying patients with HCC who are likely to develop metastases/recurrence. In addition, functional analysis of these miRNAs may enhance our biological understanding of HCC metastasis.

Original languageEnglish
Pages (from-to)897-907
Number of pages11
JournalHepatology
Volume47
Issue number3
DOIs
StatePublished - Mar 2008

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