Predicting the regrowth of clinically non-functioning pituitary adenoma with a statistical model.

ABSTRACT:

Background

Compared with clinically functioning pituitary adenoma (FPA), clinically non-functioning pituitary adenoma (NFPA) lacks of detectable hypersecreting serum hormones and related symptoms which make it difficult to predict the prognosis and monitoring for postoperative tumour regrowth. We aim to investigate whether the expression of selected tumour-related proteins and clinical features could be used as tumour markers to effectively predict the regrowth of NFPA.

Method

Tumour samples were collected from 295 patients with NFPA from Beijing Tiantan Hospital. The expression levels of 41 tumour-associated proteins were assessed using tissue microarray analyses. Clinical characteristics were analysed via univariate and multivariate logistic regression analyses. Logistic r

SUBMITTER: Cheng S 

PROVIDER: S-EPMC6528212 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature