AgNOR values are not helpful in the differential diagnosis of pituitary adenomas

Prediction of recurrence of nonfunctioning pituitary tumours by loss of heterozygosity analysis

BACKGROUND

Postsurgical regrowth or recurrence of nonfunctioning pituitary adenomas (NFAs) is not uncommon and often requires further surgery or radiotherapy (DXT). Routine postoperative DXT increases the incidence of hypopituitarism, which is associated with increased morbidity and mortality. Identification of genetic abnormalities in the tumour tissue, which can predict recurrence, may allow targeting DXT to the most appropriate patients.

DESIGN AND METHODS

We have performed loss of heterozygosity (LOH) analysis on 96 NFAs of which 43 (45%) were recurrent and 53 (55%) were nonrecurrent tumours. Analysis of all tumours was performed on the surgical specimen obtained at the time of first surgery. All tumours underwent allelotyping across nine highly informative microsatellite markers selected on the basis of high LOH frequency in an earlier study involving genome-wide allelotyping. LOH frequency across all microsatellite markers as well as across individual markers was compared between the two cohorts of tumours.

RESULTS

LOH frequency in tumours that subsequently recurred was significantly higher across all microsatellite markers as compared to tumours that did not recur (P < 0.05). Allelic loss across one or more microsatellite marker was significantly higher in recurrent tumours (30/43) as compared to their nonrecurrent counterparts (17/53) (P < 0.01). On Poisson regression analysis, the higher LOH frequency in recurrent tumours was independent of the invasiveness of tumours determined radiologically. In addition, LOH at the microsatellite markers D1S215 and D1S459 was significantly higher in tumours that recurred as compared to tumours that did not (32%vs. 3% and 27%vs. 2%, respectively; P < 0.01 for both). No significant difference in LOH frequency between the two tumour groups was evident at the other markers. No association could be demonstrated between the frequency and pattern of LOH and the time to manifest recurrence.

CONCLUSIONS

We have shown that it may be possible to predict recurrence of NFAs by LOH analysis of the initial tumour specimen at predefined microsatellite markers, especially on chromosome 1q. This merits further prospective study.

Best Practice No 172: pituitary gland pathology

This article reviews published evidence on the diagnosis and classification of pituitary gland tumours and the relevance of histological and genetic features to prognosis. Much of the literature is devoted to the histological, ultrastructural, and immunocytochemical classification of pituitary adenomas (extensively supported by multicentre studies), with little consensus on the identification of prognostic features in adenomas, particularly in relation to invasion. There is a lack of correspondence between clinical and pathological criteria to identify and classify invasion, and a need to reassess the nomenclature and diagnostic criteria for invasive adenomas and carcinomas. Recent cytogenetic, genetic, and molecular biological studies have identified no consistent abnormalities in relation to pituitary tumour progression, although many genes are likely to be involved. In light of these uncertainties, an approach to the diagnosis and classification of pituitary adenomas is suggested, based on robust criteria from earlier studies and incorporating provisional data that require reassessment in large prospective studies with an adequate clinicopathological database.