2019
DOI: 10.1007/s00428-019-02655-0
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A standardised diagnostic approach to pituitary neuroendocrine tumours (PitNETs): a European Pituitary Pathology Group (EPPG) proposal

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Cited by 83 publications
(76 citation statements)
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“…While the hyperprolactinemia found in two of the PRL-negative adenomas was likely caused by compression of the hypothalamus by the tumour mass, which inhibits dopamine secretion and thereby promotes PRL secretion [24], both tumour volume and the percentage of macroadenomas were not significantly different between patients with hyper-and normoprolactinemia in our study. Our findings suggest that hyperprolactinemia in acromegaly patients is likely to be caused by co-secretion of PRL by the tumour and less likely by pituitary stalk compression and validate the cutoff of ≥ 10 % PRL-positive cells as a criterion for the histological diagnosis of a somatolactotroph tumour, as proposed by Villa et al [22]. While Trouillas et al found a correlation between serum PRL levels and the percentage of cells with a positive PRL IHC [24], four other studies contradict this finding [13,14,25,26].…”
Section: Discussionsupporting
confidence: 86%
See 1 more Smart Citation
“…While the hyperprolactinemia found in two of the PRL-negative adenomas was likely caused by compression of the hypothalamus by the tumour mass, which inhibits dopamine secretion and thereby promotes PRL secretion [24], both tumour volume and the percentage of macroadenomas were not significantly different between patients with hyper-and normoprolactinemia in our study. Our findings suggest that hyperprolactinemia in acromegaly patients is likely to be caused by co-secretion of PRL by the tumour and less likely by pituitary stalk compression and validate the cutoff of ≥ 10 % PRL-positive cells as a criterion for the histological diagnosis of a somatolactotroph tumour, as proposed by Villa et al [22]. While Trouillas et al found a correlation between serum PRL levels and the percentage of cells with a positive PRL IHC [24], four other studies contradict this finding [13,14,25,26].…”
Section: Discussionsupporting
confidence: 86%
“…Immunohistochemistry (IHC) was performed according to standard methods using antibodies against GH and PRL (GH Ventana Roche -Catalogue number 760-2804 -polyclonal and PRL Ventana Roche -Catalogue number 760-2803 -polyclonal) and positive cells were counted optically. Tumours were classified as somatotroph adenomas if they stained positive for GH and, according to Villa et al [22], classified as somatolactotroph tumours if there is both positive staining for GH and at least 10 % of the cells for PRL (see ▶ Figs. 1 and 2 for an example of an adenoma with respectively < 10 % and ≥ 10 % PRL-positive cells).…”
Section: Tumour Characteristicsmentioning
confidence: 99%
“…However, it will be of tremendous importance to not only stop considering gonadotroph tumors as simply NF-PitNETs (instead of a distinct group of tumors) and hormone-negative tumors as a homogenous group [2,3], but also to start acknowledging that gonadotroph tumors themselves are heterogeneous. Indeed, our study comes to add to the growing literature on the heterogeneity of PitNETs and on the need to continue to refine the histological classification of these tumors [3,21].…”
Section: Discussionmentioning
confidence: 99%
“…Pituitary adenomas, recently renamed pituitary neuroendocrine tumors (PitNETs) [1,2], are common neoplasms, representing 10-20% of all intracranial tumors. Of these, gonadotroph tumors represent approximatively one-third [3,4].…”
Section: Introductionmentioning
confidence: 99%
“…To overcome these limits, a grading system based on the combination of clinical and histopathological features, which correlates with high accuracy with the clinical outcome in term of recurrence rate and disease persistence, has been recently proposed by Trouillas et al [137]. This system has been validated in independent reports [61,138] and included as integrated diagnostic information within the algorithm proposed for a standardized diagnostic approach to PitNETs by the European Pituitary Pathology Group (EPPG) [139]. The proposed grading system is basically founded on three major tumor features related to tumor size, proliferation, and invasiveness, while expression of p53, previously adopted as a potential marker of PitNET aggressiveness, has been confined to a minor role, since the low frequency of p53 detection by immunohistochemistry indicates that it is inadequate as a routine marker of invasiveness.…”
Section: Pathological and Molecular Considerationsmentioning
confidence: 99%