[Incidence of de novo neoplasms after liver transplantation]

Med Clin (Barc). 1998 Oct 24;111(13):481-4.
[Article in Spanish]

Abstract

Background: De novo malignancy developing after transplantation constitutes a well-known complication or organ transplantation, mainly described among renal recipients.

Aim: To determine the incidence of de novo internal malignancies (excluding therefore skin cancers and recurrent hepatocellular carcinoma) in a cohort of 183 patients undergoing liver transplantation (OLT) between 6/1/1991 and 12/1/1996 with a minimum follow-up of 12 months and under cyclosporine-azathioprine-prednisone.

Patients and methods: The study comprised 183 patients (mean age: 53 [8] years, with 70% males) whose charts were reviewed retrospectively. Rejection, steroids treatment, methyl-prednisolone bolus and OKT3 use were compared in the cases and in the matched control group.

Results: Seven malignancies were detected: 3 lung carcinomas, 1 larynx, 1 prostate, 1 colon and 1 ovarian. The mean age was 53 (8) years. The diagnosis of cancer was made at an average time of 24 (17) months (range, 10-54) post-OLT. Three patients died with a mean survival of 31 (16) months. OLT indication was mainly for viral liver disease (5/7). Although not statistically significant, immunosuppression data were higher among patients with cancer than in the matched group. Two additional patients developed post-transplantation lymphoproliferative diseases at 2 and 9 months, respectively.

Conclusion: We observed a wide variety of malignancies after OLT, but no associated factor was found, even though there was a trend to higher doses of immunosuppression in patients with cancers. The institution of preventive measures and surveillance programs may allow for early institution of therapy, improving therefore the survival.

MeSH terms

  • Adult
  • Female
  • Humans
  • Immunosuppression Therapy
  • Incidence
  • Liver Transplantation / adverse effects*
  • Male
  • Middle Aged
  • Neoplasms / epidemiology*
  • Retrospective Studies
  • Survival Analysis