Article: Clinicopathologic and gene expression parameters predict liver cancer prognosis
| Title | Clinicopathologic and gene expression parameters predict liver cancer prognosis | ||||||
|---|---|---|---|---|---|---|---|
| Authors | Hao, K1 Lamb, J1 Zhang, C1 Xie, T1 Wang, K1 Zhang, B1 Chudin, E1 Lee, NP2 Mao, M1 Zhong, H1 Greenawalt, D1 Ferguson, MD1 Ng, IO2 Sham, PC2 Poon, RT2 Molony, C1 Schadt, EE1 Dai, H1 Luk, JM3 | ||||||
| Issue Date | 2011 | ||||||
| Publisher | BioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmccancer/ | ||||||
| Citation | Bmc Cancer, 2011, v. 11 [How to Cite?] DOI: http://dx.doi.org/10.1186/1471-2407-11-481 | ||||||
| Abstract | Background: The prognosis of hepatocellular carcinoma (HCC) varies following surgical resection and the large variation remains largely unexplained. Studies have revealed the ability of clinicopathologic parameters and gene expression to predict HCC prognosis. However, there has been little systematic effort to compare the performance of these two types of predictors or combine them in a comprehensive model.Methods: Tumor and adjacent non-tumor liver tissues were collected from 272 ethnic Chinese HCC patients who received curative surgery. We combined clinicopathologic parameters and gene expression data (from both tissue types) in predicting HCC prognosis. Cross-validation and independent studies were employed to assess prediction.Results: HCC prognosis was significantly associated with six clinicopathologic parameters, which can partition the patients into good- and poor-prognosis groups. Within each group, gene expression data further divide patients into distinct prognostic subgroups. Our predictive genes significantly overlap with previously published gene sets predictive of prognosis. Moreover, the predictive genes were enriched for genes that underwent normal-to-tumor gene network transformation. Previously documented liver eSNPs underlying the HCC predictive gene signatures were enriched for SNPs that associated with HCC prognosis, providing support that these genes are involved in key processes of tumorigenesis.Conclusion: When applied individually, clinicopathologic parameters and gene expression offered similar predictive power for HCC prognosis. In contrast, a combination of the two types of data dramatically improved the power to predict HCC prognosis. Our results also provided a framework for understanding the impact of gene expression on the processes of tumorigenesis and clinical outcome. © 2011 Hao et al; licensee BioMed Central Ltd. | ||||||
| ISSN | 1471-2407 2011 Impact Factor: 3.011 2011 SCImago Journal Rankings: 0.342 | ||||||
| DOI | http://dx.doi.org/10.1186/1471-2407-11-481 | ||||||
| ISI Accession Number ID | WOS:000298170400001
Funding Information: The work was supported by Research Grants Council of Hong Kong and Innovation and Technology Fund of the Hong Kong Government to J.M.L. We would like to thank for the technical supports from Ashley Wong and Kit-Yuk Mak of the Queen Mary Hospital. IOL Ng is a Loke Yew Professor in Pathology. | ||||||
| PubMed Central ID | PMC3240666 | ||||||
| References | References in Scopus |
| dc.contributor.author | Hao, K | ||||||
|---|---|---|---|---|---|---|---|
| dc.contributor.author | Lamb, J | ||||||
| dc.contributor.author | Zhang, C | ||||||
| dc.contributor.author | Xie, T | ||||||
| dc.contributor.author | Wang, K | ||||||
| dc.contributor.author | Zhang, B | ||||||
| dc.contributor.author | Chudin, E | ||||||
| dc.contributor.author | Lee, NP | ||||||
| dc.contributor.author | Mao, M | ||||||
| dc.contributor.author | Zhong, H | ||||||
| dc.contributor.author | Greenawalt, D | ||||||
| dc.contributor.author | Ferguson, MD | ||||||
| dc.contributor.author | Ng, IO | ||||||
| dc.contributor.author | Sham, PC | ||||||
| dc.contributor.author | Poon, RT | ||||||
| dc.contributor.author | Molony, C | ||||||
| dc.contributor.author | Schadt, EE | ||||||
| dc.contributor.author | Dai, H | ||||||
| dc.contributor.author | Luk, JM | ||||||
| dc.date.accessioned | 2012-05-29T06:14:26Z | ||||||
| dc.date.available | 2012-05-29T06:14:26Z | ||||||
| dc.date.issued | 2011 | ||||||
| dc.description.abstract | Background: The prognosis of hepatocellular carcinoma (HCC) varies following surgical resection and the large variation remains largely unexplained. Studies have revealed the ability of clinicopathologic parameters and gene expression to predict HCC prognosis. However, there has been little systematic effort to compare the performance of these two types of predictors or combine them in a comprehensive model.Methods: Tumor and adjacent non-tumor liver tissues were collected from 272 ethnic Chinese HCC patients who received curative surgery. We combined clinicopathologic parameters and gene expression data (from both tissue types) in predicting HCC prognosis. Cross-validation and independent studies were employed to assess prediction.Results: HCC prognosis was significantly associated with six clinicopathologic parameters, which can partition the patients into good- and poor-prognosis groups. Within each group, gene expression data further divide patients into distinct prognostic subgroups. Our predictive genes significantly overlap with previously published gene sets predictive of prognosis. Moreover, the predictive genes were enriched for genes that underwent normal-to-tumor gene network transformation. Previously documented liver eSNPs underlying the HCC predictive gene signatures were enriched for SNPs that associated with HCC prognosis, providing support that these genes are involved in key processes of tumorigenesis.Conclusion: When applied individually, clinicopathologic parameters and gene expression offered similar predictive power for HCC prognosis. In contrast, a combination of the two types of data dramatically improved the power to predict HCC prognosis. Our results also provided a framework for understanding the impact of gene expression on the processes of tumorigenesis and clinical outcome. © 2011 Hao et al; licensee BioMed Central Ltd. | ||||||
| dc.description.nature | published_or_final_version | ||||||
| dc.identifier.citation | Bmc Cancer, 2011, v. 11 [How to Cite?] DOI: http://dx.doi.org/10.1186/1471-2407-11-481 | ||||||
| dc.identifier.citeulike | 10021145 | ||||||
| dc.identifier.doi | http://dx.doi.org/10.1186/1471-2407-11-481 | ||||||
| dc.identifier.hkuros | 197821 | ||||||
| dc.identifier.isi | WOS:000298170400001
Funding Information: The work was supported by Research Grants Council of Hong Kong and Innovation and Technology Fund of the Hong Kong Government to J.M.L. We would like to thank for the technical supports from Ashley Wong and Kit-Yuk Mak of the Queen Mary Hospital. IOL Ng is a Loke Yew Professor in Pathology. | ||||||
| dc.identifier.issn | 1471-2407 2011 Impact Factor: 3.011 2011 SCImago Journal Rankings: 0.342 | ||||||
| dc.identifier.pmcid | PMC3240666 | ||||||
| dc.identifier.pmid | 22070665 | ||||||
| dc.identifier.scopus | eid_2-s2.0-80655128680 | ||||||
| dc.identifier.uri | http://hdl.handle.net/10722/148658 | ||||||
| dc.identifier.volume | 11 | ||||||
| dc.language | eng | ||||||
| dc.publisher | BioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmccancer/ | ||||||
| dc.publisher.place | United Kingdom | ||||||
| dc.relation.ispartof | BMC Cancer | ||||||
| dc.relation.references | References in Scopus | ||||||
| dc.rights | Creative Commons: Attribution 3.0 Hong Kong License | ||||||
| dc.title | Clinicopathologic and gene expression parameters predict liver cancer prognosis | ||||||
| dc.type | Article |
Author Affiliations
- Merck Research Laboratories
- The University of Hong Kong
- National University of Singapore