Spectrum of De Novo Cancers and Predictors in Liver Transplantation: Analysis of the Scientific Registry of Transplant Recipients Database

PLoS One. 2016 May 12;11(5):e0155179. doi: 10.1371/journal.pone.0155179. eCollection 2016.

Abstract

Background: De novo malignancies occur after liver transplantation because of immunosuppression and improved long-term survival. But the spectrums and associated risk factors remain unclear.

Aims: To describe the overall pattern of de novo cancers in liver transplant recipients.

Methods: Data from Scientific Registry of Transplant Recipients from October 1987 to December 2009 were analyzed. The spectrum of de novo cancer was analyzed and logistic-regression was used to identify predictors of do novo malignancies.

Results: Among 89,036 liver transplant recipients, 6,834 recipients developed 9,717 post-transplant malignancies. We focused on non-skin malignancies. A total of 3,845 recipients suffered from 4,854 de novo non-skin malignancies, including 1,098 de novo hematological malignancies, 38 donor-related cases, and 3,718 de novo solid-organ malignancies. Liver transplant recipients had more than 11 times elevated cancer risk compared with the general population. The long-term overall survival was better for recipients without de novo cancer. Multivariate analysis indicated that HCV, alcoholic liver disease, autoimmune liver disease, nonalcoholic steatohepatitis, re-transplantation, combined transplantation, hepatocellular carcinoma, immunosuppression regime of cellcept, cyclosporine, sirolimus, steroids and tacrolimus were independent predictors for the development of solid malignancies after liver transplantation.

Conclusions: De novo cancer risk was elevated in liver transplant recipients. Multiple factors including age, gender, underlying liver disease and immunosuppression were associated with the development of de novo cancer. This is useful in guiding recipient selection as well as post-transplant surveillance and prevention.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Databases as Topic*
  • Demography
  • Female
  • Follow-Up Studies
  • Humans
  • Liver Transplantation / statistics & numerical data*
  • Logistic Models
  • Male
  • Middle Aged
  • Neoplasms / pathology*
  • Registries / statistics & numerical data*
  • Risk Factors
  • Survival Analysis
  • Transplant Recipients / statistics & numerical data*
  • Young Adult

Grants and funding

This study was sponsored by grants from the National S&T Major Project (No. 2012ZX10002017), the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 81121002) and Medical and health platform project of Zhejiang Province (A level backbone talent) (Grant No. 2015RCA010). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.