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Anthony J. Demetris

University of Pittsburgh Medical Center

ORCID: 0000-0002-9582-3733

Publishes on Organ Transplantation Techniques and Outcomes, Renal Transplantation Outcomes and Treatments, Liver Disease and Transplantation. 493 papers and 41.5k citations.

493Publications
41.5kTotal Citations

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Top publicationsby citations

Antibody-Mediated Rejection Criteria - an Addition to the Banff ’97 Classification of Renal Allograft Rejection
Lorraine C. Racusen, Robert B. Colvin, Kim Solez et al.|American Journal of Transplantation|2003
Cited by 1.1kOpen Access

Antibody‐mediated rejection (AbAR) is increasingly recognized in the renal allograft population, and successful therapeutic regimens have been developed to prevent and treat AbAR, enabling excellent outcomes even in patients highly sensitized to the donor prior to transplant. It has become critical to develop standardized criteria for the pathological diagnosis of AbAR. This article presents international consensus criteria for and classification of AbAR developed based on discussions held at the Sixth Banff Conference on Allograft Pathology in 2001. This classification represents a working formulation, to be revisited as additional data accumulate in this important area of renal transplantation. Antibody‐mediated rejection (AbAR) is increasingly recognized in the renal allograft population, and successful therapeutic regimens have been developed to prevent and treat AbAR, enabling excellent outcomes even in patients highly sensitized to the donor prior to transplant. It has become critical to develop standardized criteria for the pathological diagnosis of AbAR. This article presents international consensus criteria for and classification of AbAR developed based on discussions held at the Sixth Banff Conference on Allograft Pathology in 2001. This classification represents a working formulation, to be revisited as additional data accumulate in this important area of renal transplantation.

Classification and prediction of survival in hepatocellular carcinoma by gene expression profiling
Ju‐Seog Lee, In‐Sun Chu, Jeonghoon Heo et al.|Hepatology|2004
Cited by 918Open Access

We analyzed global gene expression patterns of 91 human hepatocellular carcinomas (HCCs) to define the molecular characteristics of the tumors and to test the prognostic value of the expression profiles. Unsupervised classification methods revealed two distinctive subclasses of HCC that are highly associated with patient survival. This association was validated via 5 independent supervised learning methods. We also identified the genes most strongly associated with survival by using the Cox proportional hazards survival analysis. This approach identified a limited number of genes that accurately predicted the length of survival and provides new molecular insight into the pathogenesis of HCC. Tumors from the low survival subclass have strong cell proliferation and antiapoptosis gene expression signatures. In addition, the low survival subclass displayed higher expression of genes involved in ubiquitination and histone modification, suggesting an etiological involvement of these processes in accelerating the progression of HCC. In conclusion, the biological differences identified in the HCC subclasses should provide an attractive source for the development of therapeutic targets (e.g., HIF1a) for selective treatment of HCC patients. Supplementary material for this article can be found on the HEPATOLOGY Web site (http://interscience.wiley.com/jpages/0270-9139/suppmat/index.html)