Role of diffusion-weighted imaging in the diagnosis of pituitary region tumors.

PURPOSE: This study aimed to assess the role of Diffusion-Weighted Imaging (DWI) in routine pituitary Magnetic Resonance Imaging (MRI) protocols for distinguishing sellar and parasellar tumors, addressing the lack of clear guidelines in contemporary literature. METHODS: A retrospective analysis of 242 pituitary MRI scans with DWI sequences was conducted in a single-center study using a 1.5 T scanner and standard DWI sequence parameters. Measurements of both absolute and relative mean apparent diffusion coefficient (ADC) values, along with minimal ADC values within tumors, were performed. The adopted region of interest (ROI) based method used for these measurements was validated. RESULTS: Invasive pituitary adenomas exhibited significantly lower min ADC and min rADC than meningiomas, with optimal cut-off points of 0.64 (sensitivity 73%, specificity 82%) and 0.78 (sensitivity 73%, specificity 89%), respectively. Post-hemorrhagic pituitary adenomas demonstrated lower ADC values than adamantinomatous craniopharyngiomas, with an AUC of 0.893 for min rADC = 1.07, and Rathke's Cleft Cysts with mucous content, AUC 0.8 for min rADC = 1.01. Specific differentiation with high sensitivity and specificity based on diffusion parameters was observed for these tumor groups. Cystic pituitary non-functional adenomas obtained significantly lower ADC values compared to the adamantinomatous type of craniopharyngiomas and serous Rathke's Cleft Cysts (AUC up to 0.942). CONCLUSIONS: The study concludes that integrating DWI into routine pituitary MRI protocols enhances diagnostic accuracy in distinguishing sellar and parasellar tumors. The short scan time of one minute makes DWI a valuable and precise tool, supporting its recommendation as a standard component of pituitary MRI examinations.

Does New WHO 2022 Nomenclature of Pituitary Neuroendocrine Tumors Offer an Extra Edge to the Neurosurgeons for Its Management? A Narrative Review.

The new World Health Organization nomenclature of pituitary tumors was introduced in the year 2022 after much deliberation. This nomenclature clearly demarcates the anterior lobe (adenohypophyseal), posterior lobe (neurohypophyseal), and hypothalamic tumors. There is also focus on other tumors arising in the sellar region. The nomenclature has also advocated the routine use of immunohistochemistry in describing the pituitary transcription factors that plays a fundamental role in distinguishing the cell lineage of these tumors. However, the nomenclature is complex in understanding due to inclusion of pathological correlates like transcription factors, hormones, biomarkers, and various controversies that have emerged regarding the renaming of pituitary adenomas (PA) as PiTNETs ("Pituitary Neuroendocrine tumors") because majority of the adenomas are benign and have rare metastatic behavior while classifying them as PiTNETs will create unnecessary misinterpretation of these as aggressive tumors that will lead to apprehension among the patients. The new classification gives deeper insight into the histological picture of the various pituitary tumors but other than contributing to the follow-up strategy and postsurgery management, this classification does not add anything new that could be advantageous for the neurosurgeons in clinical practice and decision making, especially in deciding the plan of action for surgery. Hence, there is need of a more comprehensive, integrated, neuroradiological-based classification with more emphasis on the invasiveness of these tumors that would assist the neurosurgeons in planning the treatment strategy and managing patients of pituitary tumors.

The Role of ArtificiaI Intelligence in Brain Tumor Diagnosis: An Evaluation of a Machine Learning Model.

This research study explores of the effectiveness of a machine learning image classification model in the accurate identification of various types of brain tumors. The types of tumors under consideration in this study are gliomas, meningiomas, and pituitary tumors. These are some of the most common types of brain tumors and pose significant challenges in terms of accurate diagnosis and treatment. The machine learning model that is the focus of this study is built on the Google Teachable Machine platform (Alphabet Inc., Mountain View, CA). The Google Teachable Machine is a machine learning image classification platform that is built from Tensorflow, a popular open-source platform for machine learning. The Google Teachable Machine model was specifically evaluated for its ability to differentiate between normal brains and the aforementioned types of tumors in MRI images. MRI images are a common tool in the diagnosis of brain tumors, but the challenge lies in the accurate classification of the tumors. This is where the machine learning model comes into play. The model is trained to recognize patterns in the MRI images that correspond to the different types of tumors. The performance of the machine learning model was assessed using several metrics. These include precision, recall, and F1 score. These metrics were generated from a confusion matrix analysis and performance graphs. A confusion matrix is a table that is often used to describe the performance of a classification model. Precision is a measure of the model's ability to correctly identify positive instances among all instances it identified as positive. Recall, on the other hand, measures the model's ability to correctly identify positive instances among all actual positive instances. The F1 score is a measure that combines precision and recall providing a single metric for model performance. The results of the study were promising. The Google Teachable Machine model demonstrated high performance, with accuracy, precision, recall, and F1 scores ranging between 0.84 and 1.00. This suggests that the model is highly effective in accurately classifying the different types of brain tumors. This study provides insights into the potential of machine learning models in the accurate classification of brain tumors. The findings of this study lay the groundwork for further research in this area and have implications for the diagnosis and treatment of brain tumors. The study also highlights the potential of machine learning in enhancing the field of medical imaging and diagnosis. With the increasing complexity and volume of medical data, machine learning models like the one evaluated in this study could play a crucial role in improving the accuracy and efficiency of diagnoses. Furthermore, the study underscores the importance of continued research and development in this field to further refine these models and overcome any potential limitations or challenges. Overall, the study contributes to the field of medical imaging and machine learning and sets the stage for future research and advancements in this area.

[Pituitary metastases: a diagnostic and therapeutic challenge]. / Metástasis hipofisarias: un desafío diagnóstico y terapéutico.

INTRODUCTION: Sellar metastases (SM) are rare manifestations of malignancy. Breast and lung cancer are the most common primary tumors. Most cases are diagnosed in patients with advanced malignant disease; however, symptoms of pituitary involvement can precede the diagnosis of the primary tumor. METHODS: Retrospective analysis of symptoms at presentation, hormonal, radiological and histological findings, management, and outcome of patients with SM from 2009 to 2020. RESULTS: Eighteen patients'cases were included, 11 with histological confirmation. Median (m) age was 53 years (range 35-75), 53% male. Primary malignant tumors: 8 lungs, 6 breast, 1 follicular thyroid carcinoma, 1 Hodgkin lymphoma, and 2 clear cell renal carcinomas. The m time between the diagnosis of the primary neoplasm and the occurrence of the SM was 108 months (range: 11-180). In 8 patients the diagnosis of the primary neoplasm was made after the finding of the symptomatic sellar mass. Insipidus diabetes, adenohypophysis deficit, visual disorders, headache, and cranial nerve deficits were evident in 78, 77, 61, 39 and 39% of the cases, respectively. Fifteen patients harbored supra / parasellar masses, in three a lesion was limited to the pituitary gland, and stalk. Eleven out of 18 (61.1%) of the patients were operated on by the trans-sphenoidal approach, for diagnostic and / or decompressive purposes. Eighteen died, with a median survival time of 6 months (1-36). DISCUSSION: In the presence of a pituitary lesion with diffuse gadolinium uptake, associated with insipidus diabetes and / or visual disorder SM should be suspected even in patients without a history of oncological disease.

Introducción: La región selar es un sitio infrecuente de metástasis, encontrándose en el 1% de las cirugías hipofisarias. Los tumores primarios más habituales son mama y pulmón. En general son diagnosticadas en pacientes con enfermedad avanzada, aunque pueden ser el debut de la enfermedad oncológica. Métodos: Análisis retrospectivo de las características clínicas, bioquímicas, radiológicas de pacientes con metástasis selares o hipofisarias (MS) durante el periodo 2009-2020. Resultados: Se reportaron 18 casos de pacientes, 11 de ellos con confirmación histológica. La mediana de edad fue 53 años (rango: 35-75), 53% hombres. La localización del tumor primario fue: 8 pulmón, 6 mama, 1 carcinoma folicular de tiroides, 1 linfoma Hodgkin y 2 carcinomas renales de células claras. La media de tiempo entre el diagnóstico del tumor primario y la aparición de la MS -en los casos de presentación metacrónica- fue 108 meses (rango: 11-180). En 8 pacientes (44.4%), el diagnóstico de la neoplasia primaria se hizo a partir del hallazgo de la masa selar. Diabetes insípida, hipopituitarismo, trastornos visuales, oftalmoplejía y cefalea se presentaron en el 78, 77, 61, 39 y 39%, respectivamente. Quince pacientes presentaron masas con extensión supra/paraselar; y 3 lesión limitada a la hipófisis y tallo. Fueron operados 11/18 por vía transesfenoidal, para diagnóstico y/o descompresión. Fallecieron 17, con una mediana de sobrevida de 6 meses (1- 36). Discusión: La sospecha de MS debe estar presente ante una masa selar y supraselar con captación difusa del gadolinio, diabetes insípida, hipopituitarismo y/o disfunción visual, aun en pacientes sin antecedentes oncológicos.

Exploring risk factors of severe pituitary apoplexy: Insights from a multicenter study of 71 cases.

PURPOSE: To identify clinical and radiological factors associated with a higher risk of developing a severe pituitary apoplexy (PA). METHODS: Multicenter retrospective study of patients presenting with clinical PA in three Spanish tertiary hospitals of Madrid between 2008 and 2022. We classified PA as severe when presenting with an altered level of consciousness (Glasgow Coma Scale (GCS) < 15) or visual involvement. RESULTS: A total of 71 PA cases were identified, of whom 80.28% (n = 57) were classified as severe PA. The median age was 60 (18 to 85 years old) and 67.6% (n = 48) were male. Most patients had macroadenomas, except for one patient with a microadenoma of 9 mm. Headache was the most common presenting symptom (90.1%) and anticoagulation was the most frequent predisposing risk factor, but it was not associated with a higher risk for severe PA (odds ratio [OR] 1.13 [0.21-5.90]). Severe cases were associated with male gender (OR 5.53 [1.59-19.27]), tumor size >20 mm (OR 17.67 [4.07-76.64]), and Knosp grade ≥2 (OR 9.6 [2.38-38.73]). In the multivariant analysis, the only variables associated with a higher risk for severe PA were tumor size and Knosp grade. Surgery was more common in severe PA than in non-severe (91.2% vs. 64.3%, P = 0.009). CONCLUSION: A tumor size >20 mm and cavernous sinus invasion are risk factors for developing a severe PA. These risk factors can stratify patients at a higher risk of a worse clinical picture, and subsequently, more need of decompressive surgery.

[Aggressive pituitary tumors and carcinomas: modern classification, advances and prospects in treatment]. / Agressivnye opukholi i kartsinomy gipofiza: sovremennaya klassifikatsiya, dostizheniya i perspektivy v lechenii.

Despite slow growth of most pituitary tumors and high rates of total resection and/or effective therapy, pituitary neoplasms are characterized by aggressive behavior with high growth rate, frequent relapses and resistance to standard treatments in 10% of cases. In modern WHO classifications of tumors of the central nervous system, endocrine and neuroendocrine tumors, the authors propose the definition «pituitary neuroendocrine tumor¼ instead of previous «pituitary adenoma¼ and «metastasizing pituitary neuroendocrine tumor¼ instead of «pituitary carcinoma¼. Currently, there are no effective prognostic markers of aggressive tumors. This complicates early diagnosis. It is proposed to apply a five-stage prognostic classification based on proliferation rate (including mitotic count, Ki-67 index and p53 immunoexpression) and morphometric markers of invasiveness for all resected pituitary neoplasms. This approach would be valuable for earlier detection of aggressive tumors and pituitary carcinomas. Compression of visual pathways, third ventricle and brain stem due to rapid growth of aggressive tumors usually requires redo surgeries with subsequent radiotherapy. Hormonally active tumors require therapy with somatostatin analogues and dopamine agonists in maximum possible doses. Chemotherapy with temozolomide as first-line option is recommended if standard treatment is ineffective. Alternative treatment includes peptide receptor radionuclide therapy (PRRT), molecular targeted therapy (bevacizumab, tyrosine kinase inhibitors, everolimus and cyclin-dependent kinase inhibitors) and immunotherapy (checkpoint inhibitors). Considering the need for combined treatment, these cases should always be discussed by a multidisciplinary team (neurosurgeon, endocrinologist, radiotherapist, oncologist, pathologist) with necessary qualifications and experience in treating these patients. Treatment of aggressive tumors and pituitary carcinomas is becoming an active and rapidly developing direction in neurosurgery, endocrinology and oncology.

[Clinically active pituitary tumors]. / Klinisch aktive Hypophysentumoren.

The widespread use of diagnostic imaging has led to an increase in the incidence of pituitary tumors. The majority of incidentalomas are hormone-inactive (HI) pituitary microadenomas. The most common clinically relevant pituitary adenomas are prolactin-secreting, followed by HI, and far less common are growth hormone (GH)-, adrenocorticotropic hormone (ACTH)- and thyroid-stimulating hormone (TSH)-secreting adenomas. Pituitary adenomas are usually benign, although aggressive growth and invasion occurs in individual cases. Very rarely, they give rise to metastases and are then termed pituitary carcinomas. All pituitary tumors require endocrine testing for pituitary hormone excess. In addition to the medical history and clinical examination, laboratory diagnostics are very important. Symptoms such as irregular menstruation, loss of libido or galactorrhea often lead to the timely diagnosis of prolactinomas, and hyperprolactinemia can easily confirm the diagnosis (considering the differential diagnoses). Diagnosis is more difficult for all other hormone-secreting pituitary adenomas (acromegaly, Cushing's disease, TSHoma), as the symptoms are often non-specific (i.e., headaches, weight gain, fatigue, joint pain). Furthermore, comorbidities such as hypertension, diabetes, and depression are such widespread diseases that pituitary adenomas are rarely considered as the underlying cause. Timely diagnosis and appropriate treatment have a significant impact on morbidity, mortality, and quality of life. Therefore, the role of primary care physicians is very important for achieving an early diagnosis. In addition, patients with pituitary adenomas should always be referred to endocrinologists to ensure optimal diagnosis as well as treatment.

Expression analysis of necroptosis related genes and lncRNAs in patients with pituitary neuroendocrine tumors.

Necroptosis can either be the cause of tumorigenesis or it can impede its process. Recently, it has been proved that long non-coding RNAs (lncRNAs) have different crucial roles at cellular level, especially on cell death. Regarding the important role of necroptosis and lncRNAs in the pathogenesis of different cancers, especially pituitary adenomas (PAs), we assessed expression levels of two necroptosis related genes, namely TRADD and BIRC2, in addition to three related lncRNAs, namely FLVCR1-DT, MAGI2-AS3, and NEAT1 in PAs compared with adjacent normal tissues (ANTs). TRADD had no significant difference between two groups; however, BIRC2, FLVCR1-DT, MAGI2-AS3, and NEAT1 were upregulated in PAs compared to ANTs (Expression ratios [95% CI] = 2.3 [1.47-3.6], 2.13 [1.02-4.44], 3.01 [1.76-5.16] and 2.47 [1.37-4.45], respectively). When taking into account different types of PAs, significant upregulation of BIRC2, MAGI2-AS3 and NEAT1 was recorded in non-functioning PAs compared with corresponding ANTs (Expression ratios [95% CI] =1.9 [1.04-3.43], 2.69 [1.26-5.72] and 2.22 [0.98-5.01], respectively). Additionally, higher levels of BIRC2 were associated with higher flow of CSF (P value=0.048). Moreover, higher Knosp classified tumors had lower levels of BIRC2 (P value=0.001). Finally, lower levels of MAGI2-AS3 were associated with larger tumor size (P value=0.006). NEAT1 expression was correlated with FLVCR1-DT and TRADD. TRADD expression was correlated with FLVCR1-DT. Additional correlation was observed between expression of BIRC2 and MAGI2-AS3. In sum, this study provides evidence that dysregulated levels of studied genes could contribute to the pathogenesis of pituitary tumors.

Headache in Patients with Sellar Disease: Clinicomorphological Predictors of Headache and the Outcome of Endoscopic Transsphenoidal Surgery.

Objectives Sellar pathologies are frequently found on imaging performed to investigate headache. However, both headache and incidental sellar lesions are common. Hence, this study prospectively examined headache prevalence, phenotype, and severity in patients with sellar pathologies and the impact of transsphenoidal surgery on headache. Methods Patients undergoing transsphenoidal resection of sellar lesions were consecutively recruited. At baseline, participants were defined as having headache or not and headache phenotype was characterized using validated questionnaires. Headache severity was assessed at baseline and 6 months postoperatively using the Headache Impact Test-6 (HIT-6) and Migraine Disability Assessment Score (MIDAS). Tumor characteristics were defined using radiological, histological, and endocrine factors. Primary outcomes included baseline headache prevalence and severity and headache severity change at 6 months postoperatively. Correlation between headache and radiological, histological, and endocrine characteristics was also of interest. Results Sixty participants (62% female, 47.1 ± 18.6 years) were recruited. Sixty-three percent possessed baseline headache. HIT-6 scores were higher in patients with primary headache risk factors, including younger age (R 2 = -0.417, p = 0.010), smoking history (63.31 ± 7.93 vs 54.44 ± 9.21, p = 0.0060), and family headache history (68.13 ± 7.01 vs 54.94 ± 9.11, p = 0.0030). Headaches were more common in patients with dural invasion (55.70 ± 12.14 vs 47.18 ± 10.15, p = 0.027) and sphenoid sinus invasion (58.87 ± 8.97 vs 51.29 ± 10.97, p = 0.007). Postoperative severity scores improved more with higher baseline headache severity (HIT-6: R 2 = -0.682, p < 0.001, MIDAS: R 2 = -0.880, p < 0.0010) and dural invasion (MIDAS: -53.00 ± 18.68 vs 12.00 ± 17.54, p = 0.0030). Conclusion Headaches in sellar disease are likely primary disorders triggered or exacerbated by sellar pathology. These may respond to surgery, particularly in patients with severe headache and dural invasion.

The Immune Microenvironment Landscape of Pituitary NeuroEndocrine Tumors, a Transcriptomic Approach.

Pituitary neuroendocrine tumors (PitNET) are known to be variably infiltrated by different immune cells. Nonetheless, their role in pituitary oncogenesis has only begun to be unveiled. The immune microenvironment could determine the biological and clinical behavior of a neoplasm and may have prognostic implications. To evaluate the expression of immune-related genes and to correlate such expression with the presence of infiltrating immune cells in forty-two PitNETs of different lineages, we performed whole transcriptome analysis and RT-qPCR. Deconvolution analysis was carried out to infer the immune cell types present in each tumor and the presence of immune cells was confirmed by immunofluorescence. We found characteristic expression profiles of immune-related genes including those encoding interleukins and chemokines for each tumor lineage. Genes such as IL4-I1, IL-36A, TIRAP, IL-17REL, and CCL5 were upregulated in all PitNETS, whereas IL34, IL20RA, and IL-2RB characterize the NR5A1-, TBX19-, and POU1F1-derived tumors, respectively. Transcriptome deconvolution analysis showed that M2 macrophages, CD4+ T cells, CD8+ T cells, NK cells, and neutrophils can potentially infiltrate PitNET. Furthermore, CD4+ and CD8+ T cells and NK cells infiltration was validated by immunofluorescence. Expression of CCL18, IL-5RA, and HLA-B as well as macrophage tumor infiltration could identify patients who can potentially benefit from treatment with immune checkpoint inhibitors.

Clinical presentation and surgical outcomes of very large and giant pituitary adenomas: 80 cases in a cohort study of 306 patients with pituitary adenomas.

PURPOSE: To identify differences in the presentation and surgical outcomes between very large (30-39 mm) and giant (≥ 40 mm) (LARGE group) pituitary adenomas (PAs) compared to the smaller group (< 30 mm) (non-LARGE group). METHODS: Eighty patients with very large (n = 44) or giant (n = 36) PAs and 226 patients in the non-LARGE group who underwent tumor resection by pituitary surgery between 2008 and 2023 were studied. Hormonal, radiological, ophthalmological, and pathological data, and surgical outcomes were evaluated. RESULTS: Preoperatively, patients of the LARGE group presented more frequently with visual impairment (82.5% vs. 22.1%, P < 0.001) and with pituitary apoplexy (15.0% vs. 2.7%, P < 0.001) than the non-LARGE group. Moreover, the LARGE group were more commonly associated with preoperative panhypopituitarism (28.8% vs. 6.2%, P < 0.001). This group presented cavernous sinus invasion more frequently (71.3% vs. 23.9%, P < 0.001). The non-LARGE group achieved surgical cure more often than the LARGE group (79.7% vs. 50.0%, P < 0.001), and the rate of major complications was higher in the latest (8.8% vs. 1.3%, P < 0.004). CONCLUSIONS: PAs ≥ 30 mm are most frequently accompanied by hormonal dysfunction, cavernous sinus invasion, and visual impairment. All this implies lower resection rates and higher postoperative complications than the smaller adenomas, posing a real surgical challenge.

Mesenchymal stem cells induce an immunosuppressive microenvironment in pituitary tumors.

BACKGROUND: The tumor microenvironment (TME) includes diverse cellular components such as mesenchymal stem cells (MSC) and immune cells among others. MSC have been isolated from different tumors and they favor tumor cell growth, however, their role in pituitary tumors (PT) remains unknown. Herein we report the presence of MSCs in 2 ACTH-secreting PT causing Cushing disease (MCU), 2 nonfunctioning adenomas of gonadotrope differentiation (MNF) and 2 non tumoral pituitary glands (MS). METHODS: We have analyzed their transcriptomic profiles by RNAseq and compared MSC in terms of their immunosuppressive effects against lymphoid T cell and macrophage populations by means of co-cultures and flow cytometry. RESULTS: Our transcriptomic analysis revealed molecular differences between MSC derived from non-tumoral pituitaries and MSC derived from PT. Two distinct subpopulations of MSC, one displaying immunosuppressive properties and the other with increased pro-proliferative capabilities, regardless of their origin. MSC derived from ACTH- and nonfunctioning PT, but not those derived from non-tumoral glands significantly inhibited the proliferation of activated T cells, favored the generation of Tregs and promote M2 macrophage polarization. Such immunosuppressive effects were correlated with an upregulation of programmed death ligand 1 and intracellular expression of macrophage colony stimulating factor (M-CSF) and IL-10. Importantly, MSC derived from ACTH-PT showed a higher immunosuppressive potential than MSC isolated from nonfunctioning tumors. CONCLUSION: This study demonstrates the presence of at least two MSC subpopulations in the pituitary gland and suggests that immunosuppressive effects of MSC may have important implications in PT growth.

Risk Factors for Isolated Sphenoid Sinusitis after Endoscopic Endonasal Transsphenoidal Pituitary Surgery.

(1) Background: Transsphenoidal pituitary surgery can be conducted via microscopic or endoscopic approaches, and there has been a growing preference for the latter in recent years. However, the occurrence of rare complications such as postoperative sinusitis remains inadequately documented in the existing literature. (2) Methods: To address this gap, we conducted a comprehensive retrospective analysis of medical records spanning from 2018 to 2023, focusing on patients who underwent transsphenoidal surgery for pituitary neuroendocrine tumors (formerly called pituitary adenoma). Our study encompassed detailed evaluations of pituitary function and MRI imaging pre- and postsurgery, supplemented by transnasal endoscopic follow-up assessments at the otolaryngology outpatient department. Risk factors for sinusitis were compared using univariate and multivariate logistic regression analyses. (3) Results: Out of the 203 patients included in our analysis, a subset of 17 individuals developed isolated sphenoid sinusitis within three months postoperation. Further scrutiny of the data revealed significant associations between certain factors and the occurrence of postoperative sphenoid sinusitis. Specifically, the classification of the primary tumor emerged as a notable risk factor, with patients exhibiting nonfunctioning pituitary neuroendocrine tumors with 3.71 times the odds of developing sinusitis compared to other tumor types. Additionally, postoperative cortisol levels demonstrated a significant inverse relationship, with lower cortisol levels correlating with an increased risk of sphenoid sinusitis postsurgery. (4) Conclusions: In conclusion, our findings underscore the importance of considering tumor classification and postoperative cortisol levels as potential predictors of postoperative sinusitis in patients undergoing transsphenoidal endoscopic pituitary surgery. These insights offer valuable guidance for clinicians in identifying at-risk individuals and implementing tailored preventive and management strategies to mitigate the occurrence and impact of sinusitis complications in this patient population.

Comparing redo surgery and stereotactic radiosurgery for recurrent, residual, and/or tumors showing progression in nonfunctioning pituitary adenomas: A systematic review and meta-analysis.

Background: Non-functioning pituitary adenomas (NFPAs) are well-differentiated benign tumors originating from the adenohypophyseal cells of the pituitary gland. They present with headaches, visual disorders, or cranial nerve deficits. NFPAs can recur, progress, or present as residual tumors. We, therefore, conducted this review to compare the effects of both revision surgery and stereotactic surgery on tumor size, visual status, endocrine status, and complications. Methods: A systematic review of published literature on recurrent, residual, or progressing NFPAs that underwent redo surgery or stereotactic radiosurgery from the inception till June 2020 was conducted as per Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Thirteen records (1209 patients) were included, and risk ratio (RR) and 95% confidence intervals (CIs) estimated from each study were pooled using a random-effects meta-analysis model. Results: Redo surgery was the preferred intervention in patients presenting with larger tumor sizes and was more effective in reducing the tumor size as compared to stereotactic radiosurgery (SRS) (risk ratio [RR] 56.14; 95% CI, 16.45-191.58). There was more visual loss with revision surgery as compared to SRS (risk ratio [RR] 0.08; 95% CI, 0.03-0.20). However, SRS was associated with fewer complications, such as new diabetes insipidus, as compared to the redo surgery (risk ratio [RR] 0.01; 95% CI 0.01-0.03). Conclusion: Redo surgery is the superior choice in the treatment of recurrent/residual or progressing NFPAs if the tumor size is large and an immediate reduction in tumor burden through debulking is warranted. However, redo surgery is associated with a higher risk of visual loss, new endocrinopathies, and other complications, in contrast to SRS.

Impulse control disorders in patients with dopamine agonist-treated pituitary adenomas: a cross-sectional multicenter study.

BACKGROUND: Impulse control disorders (ICDs) have been described as underrecognized side effects of dopamine agonists (DAs) in neurological disorders but are not sufficiently understood in endocrine conditions. OBJECTIVE: To identify the prevalence of DAs induced ICDs and determine potential risk factors related to these disorders in patients with prolactinoma and non-function pituitary adenomas (NFPAs). METHODS: This is a cross-sectional multicenter study involving 200 patients with prolactinoma and NFPAs, who received follow-ups in tertiary referral centers. DA-induced ICDs were assessed using ICD questionnaires modified from prior studies. RESULT: At least one ICD was reported by 52% of participants, among whom 28.5% mentioned compulsive shopping, 24.5% punding, and 24.5% hypersexuality. Furthermore, 33% of the patients reported the presence of one type of ICD behavior, while 12% specified two and 7% had three types of such behavior. The multivariable logistic regression showed that the significant risk factors of ICD were younger age (adjusted odds ratio [AOR]: 0.92, 95% confidence interval [CI]: 0.88-0.97, p 0.001), being single (AOR: 0.15, 95%CI: 0.03-0.84, p 0.03), and a positive history of psychiatric illness (AOR: 7.67, 95% CI: 1.37-42.97, p 0.021). CONCLUSION: ICDs with a broad range of psychiatric symptoms are common in individuals with DA-treated prolactinoma and NFPAs. Endocrinologists should be aware of this potential side effect, particularly in patients with a personal history of psychiatric disorder.

Whole-Exome Screening and Analysis of Signaling Pathways in Multiple Endocrine Neoplasia Type 1 Patients with Different Outcomes: Insights into Cellular Mechanisms and Possible Functional Implications.

Multiple endocrine neoplasia type 1 (MEN1) is a syndrome characterized by tumors in multiple organs. Although being a dominantly inherited monogenic disease, disease phenotypes are unpredictable and differ even among members of the same family. There is growing evidence for the role of modifier genes in the alteration of the course of this disease. However, genome-wide screening data are still lacking. In our study, we addressed the different outcomes of the disease, focusing on pituitary and adrenocortical tumors. By means of exome sequencing we identified the affected signaling pathways that segregated with those symptoms. Most significantly, we identified damaging alterations in numerous structural genes responsible for cell adhesion and migration. Additionally, in the case of pituitary tumors, genes related to neuronal function, survival, and morphogenesis were repeatedly identified, while in patients with adrenocortical tumors, TLR10, which is involved in the regulation of the innate immunity, was commonly modified. Our data show that using exome screening, it is possible to find signatures which correlate with the given clinical MEN1 outcomes, providing evidence that studies addressing modifier effects in MEN1 are reasonable.

Somatostatin receptors and the associated intracellular machinery: the two sides of the coin.

Somatostatin receptors (SSTs) are widely expressed in pituitary tumors and neuroendocrine neoplasms (NENs) of different origins, i.e. the gastrointestinal tract and the thorax (lungs and thymus), thus representing a well-established target for medical treatment with SST ligands (SRLs). However, the response to SRLs is highly heterogeneous between tumors. Two main factors can contribute to this variability: (i) the differential SST expression among tumor types and (ii) the differential expression/modulation of the SST-related intracellular machinery. In this literature review, we provide an overview of available data on the variable expression of SSTs in pituitary tumors and NENs, together with the resulting clinical implications. Moreover, we aim to describe the complex intracellular machinery involved in SST signaling and trafficking. Particularly, we will focus on ß-arrestins and describe their role in receptor internalization and recycling, as well as the various functions of these scaffold molecules in tumor pathogenesis and progression. This review highlights the interplay between membrane receptors and intracellular machinery, together with its role in determining the clinical behavior of the tumor and the response to treatment in patients with pituitary tumors or NENs.

DNA Methylation Pattern in Somatotroph Pituitary Neuroendocrine Tumors.

INTRODUCTION: Growth hormone secretion by sporadic somatotroph neuroendocrine pituitary tumors (PitNETs) is a major cause of acromegaly. These tumors are relatively heterogenous in terms of histopathological and molecular features. Our previous transcriptomic profiling of somatotroph tumors revealed three distinct molecular subtypes. This study aimed to investigate the difference in DNA methylation patterns in subtypes of somatotroph PitNETs and its role in distinctive gene expression. METHODS: Genome-wide DNA methylation was investigated in 48 somatotroph PitNETs with EPIC microarrays. Gene expression was assessed with RNAseq. Bisulfite pyrosequencing and qRT-PCR were used for verifying the results of DNA methylation and gene expression. RESULTS: Clustering tumor samples based on methylation data reflected the transcriptome-related classification. Subtype 1 tumors are densely granulated without GNAS mutation, characterized by high expression of NR5A1 (SF-1) and GIPR. The expression of both genes is correlated with specific methylation of the gene body and promoter. This subtype has a lower methylation level of 5' gene regions and CpG islands than the remaining tumors. Subtype 2 PitNETs are densely granulated and frequently GNAS-mutated, while those in subtype 3 are mainly sparsely granulated. Methylation/expression analysis indicates that ∼50% genes located in differentially methylated regions are those differentially expressed between tumor subtypes. Correlation analysis revealed DNA methylation-controlled genes, including CDKN1B, CCND2, EBF3, CDH4, CDH12, MGMT, STAT5A, PLXND1, PTPRE, and MMP16, and genes encoding ion channels and semaphorins. CONCLUSION: DNA methylation profiling confirmed the existence of three molecular subtypes of somatotroph PitNETs. High expression of NR5A1 and GIPR in subtype 1 tumors is correlated with specific methylation of both genes.

Multimodal Use of Contact Endoscopy in Neurosurgery: Case Series with Technical Note and Literature Review.

BACKGROUND: Originally adopted for the cytological screening of cervical and uterine cancer, contact endoscopy (CE) is now widely used in several fields of oncological surgery. The CE method, with magnification power up to 150x, was designed to enhance visualization and identify microscopic changes indicative of precancerous and cancerous lesions at early stages. In this pilot study, we evaluated the multimodal applications of CE during different endoscopic intracranial neurosurgical procedures. METHODS: Twenty patients with skull base lesions underwent surgery using different minimally invasive endoscopic approaches (endonasal, transorbital, and supraorbital). CE was used to distinguish the pathology from the surrounding healthy tissue by positioning the endoscope either in proximity or directly onto the target tissue. Special attention was given to the visualization of the margins of the lesion to differentiate compression/displacement from infiltration of the normal surrounding tissue. RESULTS: With its unprecedented range of magnification, CE could clearly identify the microvascular pattern and cytological architecture of a tissue not detectable by simple white light endoscopy, with no reported damage due to heat transmission or iatrogenic injuries. All the lesions diagnosed as "presumed neoplastic tissue" by CE were confirmed by histopathology. The most promising results were observed in surgeries for meningioma and pituitary adenoma, as these lesions exhibit distinctive microvascular networks. CONCLUSIONS: CE represents a new and effective technique for the in vivo identification of pathological microvascular and tissue features, allowing preservation of normal tissue during different endoscopic approaches. The use of CE could improve diagnostic accuracy and assist in intraoperative decision-making, becoming a key tool in various applications in neurosurgical field.