Anti-Mouse RELT (a.a. 32–138) Polyclonal antibody

Few studies have studied the effects of graft quality on non-urgent liver retransplantation (ReLT) outcomes. We aimed to analyze graft characteristics and survival in non-urgent ReLT and the effect of using grafts with extended criteria on survival. Eighty non-urgent ReLT were performed from June 1988 to June 2010. The whole series was divided by identical time periods to study time-related effects. We assessed graft quality with donor risk index (DRI) and Briceo scores and recipient status with the Model for End-stage Liver Diseases and Rosen scores. Low and high-risk grafts were defined by a DRI cutoff of 1.8. Graft survival was similar in both periods (1-, 5-, and 10-year graft survivals: 73.5, 46.9, and 40.8 versus 71, 47.7, and 47.7%, p = 0.935) although donor quality was worse in the second period (DRI: 1.35 +/- A 0.32 vs. 1.66 +/- A 0.34, p < 0.001). In the first period high-risk grafts did worse than low-risk grafts (5-year survival: 0 vs. 54.5%, p = 0.002) while in the second period outcomes were similar (5-year survival: 48.6 vs. 56.7 %, p = 0.660). Donor age was the only independent donor factor for graft survival, with lower survival when using grafts from donors over 60-years-old. Graft quality in ReLT has worsened with time mainly because of older donors but nowadays the use of high-risk grafts in non-urgent ReLT is not associated with worse graft survival because of better perioperative management. Moreover of being selective on recipient conditions, care should be taken when using grafts from donors over 60-years-old for non-urgent ReLT.

Introduction Only a limited number of tumor markers for breast cancer are currently available. Antibodies to tumor-associated proteins may expand the number of available tumor markers for breast cancer and may be used together in a serum profile to enhance sensitivity and specificity. Methods In the present study, we interrogated a breast cancer cDNA T7 phage library for tumor-associated proteins using biopan enrichment techniques with sera from normal individuals and from breast cancer patients. The enrichment of tumor-associated proteins after biopanning was tested using a plaque-lift assay and immunochemical detection. The putative tumor-associated phage clones were collected for PCR and sequencing analysis. Unique and open reading frame phage-expressed proteins were then used to develop phage protein ELISAs to measure corresponding autoantibodies using 87 breast cancer patients and 87 normal serum samples. A logistic regression model and leave-one-out validation were used to evaluate predictive accuracies with a single marker as well as with combined markers. Identities of those selected proteins were revealed through the sequence BLAST program. Results We harvested 100 putative tumor-associated phage clones after biopan enrichment. Sequencing analysis revealed that six phage proteins were inframe and unique. Antibodies to these six phage-expressed proteins were measured by ELISAs, and the results showed that three of the phage clones had statistical significance in discriminating patients from normal individuals. BLAST results of the three proteins showed great matches to ASB-9, SERAC1, and RELT. Measurements of the three predictive phage proteins were combined in a logistic regression model that achieved 80% sensitivity and 100% specificity in prediction of sample status, whereas leave-one-out validation achieved 77.0% sensitivity and 82.8% specificity among 87 patient samples and 87 control samples. Receiver operating characteristic curve analysis and the leave-one-out method both showed that combined measurements of the three antibodies were more predictive of disease than any of the single antibodies studied, underscoring the importance of identifying multiple potential markers. Conclusion Serum autoantibody profiling is a promising approach for early detection and diagnosis of breast cancer. Rather than one autoantibody, a panel of autoantibodies appears preferable to achieve superior accuracy. Further refinements will need to be made to further improve the accuracy. Once refined, the assay must be applied to a prospective patient population to demonstrate applicability.