Could low prolactin levels after radiotherapy predict the onset of hypopituitarism?

Both local and external cranial radiotherapy (RT) can induce neurotoxicity and vascular damage of the hypothalamic-pituitary area, which can promote neuroendocrine alterations. While anterior pituitary insufficiency after RT has been extensively characterized, data on the effect of RT on prolactin (PRL) secretion are limited and heterogeneous, with different patterns of PRL behavior described in the literature. A progressive decline in PRL levels, reflecting a time-dependent, slowly evolving radiation-induced damage to the pituitary lactotroph cells has been reported. To date, the association between hypopituitarism and hypoprolactinemia in patients undergoing RT has not yet been fully investigated. The few available data suggest that lower PRL levels can predict an extent damage of the pituitary tissue and a higher degree of hypothalamic dysfunction. However, most studies on the effect of RT on pituitary function do not properly assess PRL secretion, as PRL deficiency is usually detected as part of hypopituitarism and not systematically investigated as an isolated disorder, which may lead to an underestimation of hypoprolactinemia after RT. In addition, the often-inadequate follow-up over a long period of time may contribute to the non-recognition of PRL deficiency after RT. Considering that hypoprolactinemia is associated with various metabolic complications, there is a need to define appropriate diagnostic and management criteria. Therefore, hypoprolactinemia should enter in the clinical investigation of patients at risk for hypopituitarism, mainly in those patients who underwent RT.

Grading and staging for pituitary neuroendocrine tumors.

Pituitary adenoma/pituitary neuroendocrine tumors (PitNETs) are the second most common primary intracranial tumor and the most frequent neuroendocrine tumors/neoplasms of the human body. Thus, they are one of the most frequent diagnoses in neuropathologist's practise. 2022 5th edition WHO Classification of Endocrine and Neuroendocrine Tumors does not support a grading and/or staging system for PitNETs and argues that histological typing and subtyping are more robust than proliferation rate and invasiveness to stratify tumors. Numerous studies suggest the existence of clinically relevant molecular subgroups encouraging an integrated histo-molecular approach to the diagnosis of PitNETs to deepen the understanding of their biology and overcome the unresolved problem of grading system. The present review illustrates the main issues involved in establishing a grading and a staging system, as well as alternative systems validated by independent series to date. The state of art of the current histological and molecular markers is detailed, demonstrating that a standardized and reproducible clinico-pathological approach, combined with the integration of molecular data may help build a workflow to refine the definition of PitNETs with 'malignant potential' and most importantly, avoid delay in patient treatment. Next molecular studied are needed to validate an integrated histo-molecular grading for PitNETs.

Bone-active drugs in premenopausal women with breast cancer under hormone-deprivation therapies.

BACKGROUND: Bone health management in premenopausal women with breast cancer (BC) under hormone-deprivation therapies (HDTs) is often challenging, and the effectiveness of bone-active drugs is still unknown. METHODS: This retrospective multicenter study included 306 premenopausal women with early BC undergoing HDTs. Bone mineral density (BMD) and morphometric vertebral fractures (VFs) were assessed 12 months after HDT initiation and then after at least 24 months. RESULTS: After initial assessment, bone-active drugs were prescribed in 77.5% of women (151 denosumab 60 mg/6 months, 86 bisphosphonates). After 47.0 ± 20.1 months, new VFs were found in 16 women (5.2%). Vertebral fracture risk was significantly associated with obesity (odds ratio [OR] 3.87, P = .028), family history of hip fractures or VFs (OR 3.21, P = .040], chemotherapy-induced menopause (OR 6.48, P < .001), preexisting VFs (OR 25.36, P < .001), baseline T-score less than or equal to -2.5 standard deviation (SD) at any skeletal site (OR 4.14, P = .036), and changes at lumbar and total hip BMD (OR 0.94, P = .038 and OR 0.88, P < .001, respectively). New VFs occurred more frequently in women untreated compared to those treated with bone-active drugs (14/69, 20.8% vs 2/237, 0.8%; P < .001) and the anti-fracture effectiveness remained significant after correction for BMI (OR 0.03; P < .001), family history of fractures (OR 0.03; P < .001), chemotherapy-induced menopause (OR 0.04; P < .001), and preexisting VFs (OR 0.01; P < .001). CONCLUSIONS: Premenopausal women under HDTs are at high risk of VFs in relationship with high BMI, densitometric diagnosis of osteoporosis, preexisting VFs, and family history of osteoporotic fractures. Vertebral fractures in this setting might be effectively prevented by bisphosphonates or denosumab.

PIT-EASY survey: validation of the European Pituitary Pathology Group proposal for reporting pituitary neuroendocrine tumors.

The aim of this multicenter prospective survey called PIT-EASY was to assess the relevance of the European Pituitary Pathology Group (EPPG) diagnostic tools for pituitary neuroendocrine tumors (PitNETs) to improve the quality of their histological diagnosis. Each center performed at least 30 histological cases of PitNETs using the EPPG tools and assessed their value using a scorecard with 10 questions. For each center, the histological cases were carried out by pathologists with varying levels of expertise in pituitary pathology defined as junior, intermediate, and expert. Two hundred and ninety histological cases were collected from six French and Italian centers. The three EPPG tools were validated and regarded as helpful for a more accurate and time-efficient diagnosis. The usefulness of level 2 and level 3 of the "EPPG's multi-step approach for immunohistochemistry" including pituitary transcription factors (PIT1, TPIT, and SF1) and chromogranin, SSTRs, and P53 respectively was higher in "other non-functioning" (silent plurihormonal PIT1, silent corticotroph, and null cell): 88% vs 32%, p < 10-6 and 42% vs 14%, p = 0.002, respectively. The diagnostic algorithm proved more useful for junior pathologists (p = 0.0001) and those with intermediate experience. PIT-EASY survey confirmed the importance of a standardized approach to PitNETs for an accurate and reproducible diagnosis and served as validation of the EPPG proposal. The tool appeared to be of practical value to junior participants and staff with intermediate experience for safe routine diagnostic reporting.

Prediction of adrenal insufficiency after pituitary surgery: a retrospective study using beckman access cortisol assay.

PURPOSE: Identifying patients requiring glucocorticoid replacement therapy after pituitary surgery is challenging as the tests commonly used for the diagnosis of secondary adrenal insufficiency (SAI) are not recommended in the immediate postoperative period. There are controversial data on the role of postoperative days' morning cortisol, with no specific data for each cortisol assay. The aim of this study is to investigate the reliability of 8.00 a.m. cortisol of the first and second postoperative days in predicting SAI. METHODS: Data of patients underwent pituitary surgery in Humanitas Research Hospital in Italy, from March 2017 to August 2022, were retrospectively analyzed. Definitive diagnosis of SAI was made through ACTH test 1 µg six weeks after surgery. Cortisol was measured through Beckman Access Cortisol and the diagnosis of SAI was made if cortisol peak was below 14.8 µg/dL (408 nmol/L) at 30 or 60 min after stimulus. RESULTS: Of the sixty-four patients enrolled, seven developed SAI. The ROC curves demonstrated that both first- and second-day postoperative 8.00 a.m. cortisol predict SAI (AUC 0.94 and 0.95, respectively). The optimal thresholds were 15.6 µg/dL (430.3 nmol/L; accuracy 89%) for the first day and 11.5 µg/dL (317.2 nmol/L, accuracy 81%) for the second day. Patients who developed SAI had larger tumors (p = 0.004) and lower fT4 (p = 0.038) before surgery. CONCLUSIONS: Clinicians might rely on the first- and second- postoperative days 8.00 a.m. cortisol to identify patients to discharge with glucocorticoid replacement therapy waiting for the confirmation of SAI through the ACTH test.

ACTH Stimulation Test for the Diagnosis of Secondary Adrenal Insufficiency: Light and Shadow.

Secondary Adrenal Insufficiency (SAI) is a condition characterized by inappropriately low ACTH secretion due to a disease or injury to the hypothalamus or the pituitary. The evaluation when suspected is often challenging for the non-specific symptoms, the rarity of the disease, and the pitfalls associated with laboratory tests. A prompt and correct diagnosis of SAI is essential because although an adequate hormonal replacement therapy could be lifesaving, inappropriate life-long therapy with steroids can be harmful. The gold standard test for assessing the hypothalamus-pituitary-adrenal axis (HPA) is the insulin tolerance test (ITT), but due to safety issues is not widely used. Conversely, the ACTH stimulation test is a safer and well-tolerated tool for SAI diagnosis. However, data about its diagnostic accuracy show great variability due to both technical and interpretative aspects, such as dose, route of administration, the timing of the test, and assay used for cortisol measurements. Consequently, the clinical background of the patient and the pretest probability of HPA axis impairment become of paramount importance. We aimed to summarize the recent literature evidence in the conduction and interpretation of the ACTH stimulation test for the diagnosis of SAI to provide updated insights on its correct use in clinical practice.