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|Title:||A morpho-molecular prognostic model for hepatocellular carcinoma|
|Authors:||Srivastava, S. |
|Citation:||Srivastava, S., Wong, K.F., Ong, C.W., Chan, Y.H., Yeoh, K.G., Teh, M., Luk, J.M., Salto-Tellez, M. (2012-07-10). A morpho-molecular prognostic model for hepatocellular carcinoma. British Journal of Cancer 107 (2) : 334-339. ScholarBank@NUS Repository. https://doi.org/10.1038/bjc.2012.230|
|Abstract:||Background: Hepatocellular carcinoma (HCC) is the third common cause of cancer-related deaths and its prognostication is still suboptimal. The aim of this study was to establish a new prognostication algorithm for HCC. Methods: In all, 13 biomarkers related to the etiopathogenesis of HCC were evaluated by immunohistochemistry using tissue microarrays containing 121 primary HCC resection cases, and validated in subsequent cohort of 85 HCC cases. The results were compared with Affymetrix Gene Chip Human Genome U133Plus microarray data in a separate cohort of 228 HCC patients. Results: On immunohistochemical evaluation and multivariate Cox regression analysis p53, alpha fetaprotein (AFP), CD44 and CD31, tumour size and vascular invasion, were significant predictors for worse survival in HCC patients. A morpho-molecular prognostic model (MMPM) was constructed and it was a significant independent predictor for overall survival (OS) and relapse-free survival (RFS) (P50% of tumour samples and significant overexpression in tumour samples was observed in AFP, CD31, CD117 and Ki-67 genes. Conclusion: The MMPM, based on the expression of selected proteins and clinicopathological parameters, can be used to classify HCC patients between good vs poor prognosis and high vs low risk of recurrence following hepatic resection. © 2012 Cancer Research UK All rights reserved.|
|Source Title:||British Journal of Cancer|
|Appears in Collections:||Staff Publications|
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