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Gene expression profiles accurately predict outcome following liver resection in patients with metastatic colorectal cancer.

Publication ,  Journal Article
Ito, H; Mo, Q; Qin, L-X; Viale, A; Maithel, SK; Maker, AV; Shia, J; Kingham, P; Allen, P; DeMatteo, RP; Fong, Y; Jarnagin, WR; D'Angelica, M
Published in: PLoS One
2013

PURPOSE: The aim of this study was to build a molecular prognostic model based on gene signatures for patients with completely resected hepatic metastases from colorectal cancer (MCRC). METHODS: Using the Illumina HumanHT-12 gene chip, RNA samples from the liver metastases of 96 patients who underwent R0 liver resection were analyzed. Patients were randomly assigned to a training (n = 60) and test (n = 36) set. The genes associated with disease-specific survival (DSS) and liver-recurrence-free survival (LRFS) were identified by Cox-regression and selected to construct a molecular risk score (MRS) using the supervised principle component method on the training set. The MRS was then evaluated in the independent test set. RESULTS: Nineteen and 115 genes were selected to construct the MRS for DSS and LRFS, respectively. Each MRS was validated in the test set; 3-year DSS/LRFS rates were 42/32% and 79/80% for patients with high and low MRS, respectively (p = 0.007 for DSS and p = 0.046 for LRFS). In a multivariate model controlling for a previously validated clinical risk score (CRS), the MRS remained a significant predictor of DSS (p = 0.001) and LRFS (p = 0.03). When CRS and MRS were combined, the patients were discriminated better with 3-year DSS/LRFS rates of 90/89% in the low risk group (both risk scores low) vs 42/26% in the high risk group (both risk scores high), respectively (p = 0.002/0.004 for DSS/LRFS). CONCLUSION: MRS based on gene expression profiling has high prognostic value and is independent of CRS. This finding provides a potential strategy for better risk-stratification of patients with liver MCRC.

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Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2013

Volume

8

Issue

12

Start / End Page

e81680

Location

United States

Related Subject Headings

  • Prognosis
  • Middle Aged
  • Male
  • Liver Neoplasms
  • Humans
  • Hepatectomy
  • Genetic Predisposition to Disease
  • General Science & Technology
  • Gene Expression Profiling
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
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Ito, H., Mo, Q., Qin, L.-X., Viale, A., Maithel, S. K., Maker, A. V., … D’Angelica, M. (2013). Gene expression profiles accurately predict outcome following liver resection in patients with metastatic colorectal cancer. PLoS One, 8(12), e81680. https://doi.org/10.1371/journal.pone.0081680
Ito, Hiromichi, Qianxing Mo, Li-Xuan Qin, Agnes Viale, Shishir K. Maithel, Ajay V. Maker, Jinru Shia, et al. “Gene expression profiles accurately predict outcome following liver resection in patients with metastatic colorectal cancer.PLoS One 8, no. 12 (2013): e81680. https://doi.org/10.1371/journal.pone.0081680.
Ito H, Mo Q, Qin L-X, Viale A, Maithel SK, Maker AV, et al. Gene expression profiles accurately predict outcome following liver resection in patients with metastatic colorectal cancer. PLoS One. 2013;8(12):e81680.
Ito, Hiromichi, et al. “Gene expression profiles accurately predict outcome following liver resection in patients with metastatic colorectal cancer.PLoS One, vol. 8, no. 12, 2013, p. e81680. Pubmed, doi:10.1371/journal.pone.0081680.
Ito H, Mo Q, Qin L-X, Viale A, Maithel SK, Maker AV, Shia J, Kingham P, Allen P, DeMatteo RP, Fong Y, Jarnagin WR, D’Angelica M. Gene expression profiles accurately predict outcome following liver resection in patients with metastatic colorectal cancer. PLoS One. 2013;8(12):e81680.

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2013

Volume

8

Issue

12

Start / End Page

e81680

Location

United States

Related Subject Headings

  • Prognosis
  • Middle Aged
  • Male
  • Liver Neoplasms
  • Humans
  • Hepatectomy
  • Genetic Predisposition to Disease
  • General Science & Technology
  • Gene Expression Profiling
  • Female