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Prediction of disease-free survival in hepatocellular carcinoma by gene expression profiling.

Publication ,  Journal Article
Lim, H-Y; Sohn, I; Deng, S; Lee, J; Jung, SH; Mao, M; Xu, J; Wang, K; Shi, S; Joh, JW; Choi, YL; Park, C-K
Published in: Ann Surg Oncol
November 2013

BACKGROUND: Progression of hepatocellular carcinoma (HCC) often leads to vascular invasion and intrahepatic metastasis, which correlate with recurrence after surgical treatment and poor prognosis. The molecular prognostic model that could be applied to the HCC patient population in general is needed for effectively predicting disease-free survival (DFS). METHODS: A cohort of 286 HCC patients from South Korea and a second cohort of 83 patients from Hong Kong, China, were used as training and validation sets, respectively. RNA extracted from both tumor and adjacent nontumor liver tissues was subjected to microarray gene expression profiling. DFS was the primary clinical end point. Gradient lasso algorithm was used to build prognostic signatures. RESULTS: High-quality gene expression profiles were obtained from 240 tumors and 193 adjacent nontumor liver tissues from the training set. Sets of 30 and 23 gene-based DFS signatures were developed from gene expression profiles of tumor and adjacent nontumor liver, respectively. DFS gene signature of tumor was significantly associated with DFS in an independent validation set of 83 tumors (P = 0.002). DFS gene signature of nontumor liver was not significantly associated with DFS in the validation set (P = 0.827). Multivariate analysis in the validation set showed that DFS gene signature of tumor was an independent predictor of shorter DFS (P = 0.018). CONCLUSIONS: We developed and validated survival gene signatures of tumor to successfully predict the length of DFS in HCC patients after surgical resection.

Duke Scholars

Published In

Ann Surg Oncol

DOI

EISSN

1534-4681

Publication Date

November 2013

Volume

20

Issue

12

Start / End Page

3747 / 3753

Location

United States

Related Subject Headings

  • Validation Studies as Topic
  • Survival Rate
  • Prognosis
  • Oncology & Carcinogenesis
  • Oligonucleotide Array Sequence Analysis
  • Neoplasm Staging
  • Middle Aged
  • Male
  • Liver Neoplasms
  • Liver
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Lim, H.-Y., Sohn, I., Deng, S., Lee, J., Jung, S. H., Mao, M., … Park, C.-K. (2013). Prediction of disease-free survival in hepatocellular carcinoma by gene expression profiling. Ann Surg Oncol, 20(12), 3747–3753. https://doi.org/10.1245/s10434-013-3070-y
Lim, Ho-Yeong, Insuk Sohn, Shibing Deng, Jeeyun Lee, Sin Ho Jung, Mao Mao, Jiangchun Xu, et al. “Prediction of disease-free survival in hepatocellular carcinoma by gene expression profiling.Ann Surg Oncol 20, no. 12 (November 2013): 3747–53. https://doi.org/10.1245/s10434-013-3070-y.
Lim H-Y, Sohn I, Deng S, Lee J, Jung SH, Mao M, et al. Prediction of disease-free survival in hepatocellular carcinoma by gene expression profiling. Ann Surg Oncol. 2013 Nov;20(12):3747–53.
Lim, Ho-Yeong, et al. “Prediction of disease-free survival in hepatocellular carcinoma by gene expression profiling.Ann Surg Oncol, vol. 20, no. 12, Nov. 2013, pp. 3747–53. Pubmed, doi:10.1245/s10434-013-3070-y.
Lim H-Y, Sohn I, Deng S, Lee J, Jung SH, Mao M, Xu J, Wang K, Shi S, Joh JW, Choi YL, Park C-K. Prediction of disease-free survival in hepatocellular carcinoma by gene expression profiling. Ann Surg Oncol. 2013 Nov;20(12):3747–3753.
Journal cover image

Published In

Ann Surg Oncol

DOI

EISSN

1534-4681

Publication Date

November 2013

Volume

20

Issue

12

Start / End Page

3747 / 3753

Location

United States

Related Subject Headings

  • Validation Studies as Topic
  • Survival Rate
  • Prognosis
  • Oncology & Carcinogenesis
  • Oligonucleotide Array Sequence Analysis
  • Neoplasm Staging
  • Middle Aged
  • Male
  • Liver Neoplasms
  • Liver