Article ID Journal Published Year Pages File Type
6246744 Transplantation Proceedings 2015 5 Pages PDF
Abstract

•To improve survival of the kidney transplant population, we evaluated whether it is possible to make early diagnosis of de novo tumors.•Patients should be considered for cancer risk after transplantation, but also before transplantation.•We suggest identifying a very-high-risk population out of the group of transplant patients.•In this subpopulation we could improve pre-transplantation study and post-transplantation surveillance.

BackgroundProgress in immunosuppressive therapy and perioperative techniques has improved the survivals of both grafts and patients. The patient, however, is exposed to the risks of aging and side effects of immunosuppression. De novo tumors are the 2nd cause of death in the organ transplant population. The aim of this study was to evaluate whether the current accepted guidelines for the pre-transplantation study and the post-transplantation follow-up have been effective, in our kidney transplant population, regarding early detection and treatment, improving prognosis, and reducing mortality of some curable neoplastic diseases.MethodsWe considered de novo tumors in kidney transplant patients from 1995 to 2010 (n = 636) excluding hematologic and nonmelanoma skin tumors from our study.ResultsThere were 64 de novo tumors in 59 patients out of 636 kidney transplant patients; 29.68% were urogenital cancer, 26.56% gastrointestinal cancer, 12.5% melanoma, 6.25% lung cancer, 6.25% biliopancreatic cancer, 4.68% visceral Kaposi sarcoma, 4.68% breast cancer, 4.68% thyroid cancer, 1 pleural mesothelioma, 1 meningioma, 1 merkeloma. Twenty patients died because of cancer. Ten patients had a late de novo tumor diagnosis, when the stage of tumor was advanced and not suitable for curative treatment.ConclusionsBecause of the increased neoplastic risk, we consider it mandatory to carry out a meticulous screening and to implement pre-transplantation study concerning this increased neoplastic risk population to detect a subgroup of patients presenting the highest risk to improve their outcome.

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