Literature DB >> 30481158

Validation of a clinicopathological score for the prediction of post-surgical evolution of pituitary adenoma: retrospective analysis on 566 patients from a tertiary care centre.

S Asioli1,2, A Righi3, M Iommi4, C Baldovini1, F Ambrosi1, F Guaraldi2,5, M Zoli2,5, D Mazzatenta2,5, M Faustini-Fustini2, P Rucci4, C Giannini6, M P Foschini1.   

Abstract

Objective and design A clinicopathological score has been proposed by Trouillas et al. to predict the evolution of pituitary adenomas. Aim of our study was to perform an independent external validation of this score and identify other potential predictor of post-surgical outcome. Methods The study sample included 566 patients with pituitary adenomas, specifically 253 FSH/LH-secreting, 147 GH-secreting, 85 PRL-secreting, 72 ACTH-secreting and 9 TSH-secreting tumours with at least 3-year post-surgical follow-up. Results In 437 cases, pituitary adenomas were non-invasive, with low (grade 1a: 378 cases) or high (grade 1b: 59 cases) proliferative activity. In 129 cases, tumours were invasive, with low (grade 2a: 87 cases) or high (grade 2b: 42 cases) proliferative activity. During the follow-up (mean: 5.8 years), 60 patients developed disease recurrence or progression, with a total of 130 patients with pituitary disease at last follow-up. Univariate analysis demonstrated a significantly higher risk of disease persistence and recurrence/progression in patients with PRL-, ACTH- and FSH/LH-secreting tumours as compared to those with somatotroph tumours, and in those with high proliferative activity (grade 1b and 2b) or >1 cm diameter. Multivariate analysis confirmed tumour type and grade to be independent predictors of disease-free-survival. Tumour invasion, Ki-67 and tumour type were the only independent prognostic factors of disease-free survival. Conclusions Our data confirmed the validity of Trouillas' score, being tumour type and grade independent predictors of disease evolution. Therefore, we recommend to always consider both features, together with tumour histological subtype, in the clinical setting to early identify patients at higher risk of recurrence.

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Year:  2019        PMID: 30481158     DOI: 10.1530/EJE-18-0749

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.664


  22 in total

1.  Clinical, biological, radiological, and pathological comparison of sparsely and densely granulated somatotroph adenomas: a single center experience from a cohort of 131 patients with acromegaly.

Authors:  Amy A Swanson; Dana Erickson; Diane Mary Donegan; Sarah M Jenkins; Jamie J Van Gompel; John L D Atkinson; Bradley J Erickson; Caterina Giannini
Journal:  Pituitary       Date:  2020-10-19       Impact factor: 4.107

Review 2.  A standardised diagnostic approach to pituitary neuroendocrine tumours (PitNETs): a European Pituitary Pathology Group (EPPG) proposal.

Authors:  C Villa; A Vasiljevic; M L Jaffrain-Rea; O Ansorge; S Asioli; V Barresi; L Chinezu; M P Gardiman; A Lania; A M Lapshina; L Poliani; L Reiniger; A Righi; W Saeger; J Soukup; M Theodoropoulou; S Uccella; J Trouillas; F Roncaroli
Journal:  Virchows Arch       Date:  2019-10-02       Impact factor: 4.064

3.  Predicting early post-operative remission in pituitary adenomas: evaluation of the modified knosp classification.

Authors:  Marie Buchy; Véronique Lapras; Muriel Rabilloud; Alexandre Vasiljevic; Françoise Borson-Chazot; Emmanuel Jouanneau; Gérald Raverot
Journal:  Pituitary       Date:  2019-10       Impact factor: 4.107

4.  Predictive modeling for pituitary adenomas: single center experience in 501 consecutive patients.

Authors:  A L Pappy; A Savinkina; C Bicknese; S Neill; N M Oyesiku; A G Ioachimescu
Journal:  Pituitary       Date:  2019-10       Impact factor: 4.107

5.  Pituitary neuroendocrine tumors (PitNETs): nomenclature evolution, not clinical revolution.

Authors:  Sylvia L Asa; Sofia Asioli; Suheyla Bozkurt; Olivera Casar-Borota; Laura Chinezu; Nil Comunoglu; Giulia Cossu; Michael Cusimano; Etienne Delgrange; Peter Earls; Shereen Ezzat; Nurperi Gazioglu; Ashley Grossman; Federica Guaraldi; Richard A Hickman; Hidetoshi Ikeda; Marie-Lise Jaffrain-Rea; Niki Karavitaki; Ivana Kraljević; Stefano La Rosa; Emilija Manojlović-Gačić; Niki Maartens; Ian E McCutcheon; Mahmoud Messerer; Ozgur Mete; Hiroshi Nishioka; Buge Oz; Sara Pakbaz; Melike Pekmezci; Arie Perry; Lilla Reiniger; Federico Roncaroli; Wolfgang Saeger; Figen Söylemezoğlu; Osamu Tachibana; Jacqueline Trouillas; John Turchini; Silvia Uccella; Chiara Villa; Shozo Yamada; Sema Yarman
Journal:  Pituitary       Date:  2020-06       Impact factor: 4.107

6.  Biomarkers of pituitary macroadenomas aggressive behaviour: a conventional MRI and DWI 3T study.

Authors:  Alberto Conficoni; Paola Feraco; Diego Mazzatenta; Matteo Zoli; Sofia Asioli; Corrado Zenesini; Viscardo Paolo Fabbri; Martino Cellerini; Antonella Bacci
Journal:  Br J Radiol       Date:  2020-07-06       Impact factor: 3.039

7.  DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features.

Authors:  Maritza S Mosella; Thais S Sabedot; Tiago C Silva; Tathiane M Malta; Felipe Segato Dezem; Karam P Asmaro; Michael Wells; Abir Mukherjee; Laila M Poisson; James Snyder; Ana C deCarvalho; Tobias Walbert; Todd Aho; Steven Kalkanis; Paula C Elias; Sonir R Antonini; Jack Rock; Houtan Noushmehr; Margaret Castro; Ana Valeria Castro
Journal:  Neuro Oncol       Date:  2021-08-02       Impact factor: 12.300

Review 8.  Pituitary neuroendocrine tumors: a model for neuroendocrine tumor classification.

Authors:  Ashley B Grossman; Shereen Ezzat; Sylvia L Asa; Ozgur Mete; Michael D Cusimano; Ian E McCutcheon; Arie Perry; Shozo Yamada; Hiroshi Nishioka; Olivera Casar-Borota; Silvia Uccella; Stefano La Rosa
Journal:  Mod Pathol       Date:  2021-05-21       Impact factor: 7.842

Review 9.  High-risk pituitary adenomas and strategies for predicting response to treatment.

Authors:  George Kontogeorgos; Eleni Thodou; Robert Y Osamura; Ricardo V Lloyd
Journal:  Hormones (Athens)       Date:  2022-01-21       Impact factor: 2.885

10.  Gonadotroph tumours with a low SF-1 labelling index are more likely to recur and are associated with enrichment of the PI3K-AKT pathway.

Authors:  Richard A Hickman; Jeffrey N Bruce; Marc Otten; Alexander G Khandji; Xena E Flowers; Markus Siegelin; Beatriz Lopes; Phyllis L Faust; Pamela U Freda
Journal:  Neuropathol Appl Neurobiol       Date:  2020-12-20       Impact factor: 8.090

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