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Journal of Endocrinological... Jun 2024At present, various treatment strategies are available for pituitary adenomas, including medications, surgery and radiation. The guidelines indicate that pharmacological...
PURPOSE
At present, various treatment strategies are available for pituitary adenomas, including medications, surgery and radiation. The guidelines indicate that pharmacological treatments, such as bromocriptine (BRC) and cabergoline (CAB), are important treatments for prolactinomas, but drug resistance is an urgent problem that needs to be addressed. Therefore, exploring the mechanism of drug resistance in prolactinomas is beneficial for clinical treatment.
METHODS
In our research, BRC-induced drug-resistant cells were established. Previous RNA sequencing data and an online database were used for preliminary screening of resistance-related genes. Cell survival was determined by Cell Counting Kit-8 (CCK-8) assay, colony formation assays and flow cytometry. Quantitative real-time polymerase chain reaction (qRT‒PCR), western blotting, immunohistochemistry, immunofluorescence and Co-immunoprecipitation (Co-IP) were used to assess the molecular changes and regulation. The therapeutic efficacy of BRC and FGFR4 inhibitor fisogatinib (FISO) combination was evaluated in drug-resistant cells and xenograft tumors in nude mice.
RESULTS
Consistent with the preliminary results of RNA sequencing and database screening, fibroblast growth factor 19 (FGF19) expression was elevated in drug-resistant cells and tumor samples. With FGF19 silencing, drug-resistant cells exhibited increased sensitivity to BRC and decreased intracellular phosphorylated fibroblast growth factor receptor 4 (FGFR4) levels. After confirming that FGF19 binds to FGFR4 in prolactinoma cells, we found that FGF19/FGFR4 regulated prolactin (PRL) synthesis through the ERK1/2 and JNK signaling pathways. Regarding the effect of targeting FGF19/FGFR4 on BRC efficacy, FISO and BRC synergistically inhibited the growth of tumor cells, promoted apoptosis and reduced PRL levels.
CONCLUSION
Overall, our study revealed FGF19/FGFR4 as a new mechanism involved in the drug resistance of prolactinomas, and combination therapy targeting the pathway could be helpful for the treatment of BRC-induced drug-resistant prolactinomas.
PubMed: 38926262
DOI: 10.1007/s40618-024-02408-0 -
BMC Endocrine Disorders Jun 2024An increase of IGF-1 has been reported during therapy with dopamine agonists (DA) for prolactinomas; in such cases a correct diagnosis is pivotal to avoid an unnecessary...
PURPOSE
An increase of IGF-1 has been reported during therapy with dopamine agonists (DA) for prolactinomas; in such cases a correct diagnosis is pivotal to avoid an unnecessary reduction or withdrawal of DA, which are needed to maintain normal prolactin levels. This study was aimed to measure IGF-1 levels, at baseline and during follow-up, in a cohort of patients with prolactinoma, treated with cabergoline, stratified by body mass index.
METHODS
We retrospectively enrolled 35 patients (15 F/20 M; age m ± SD, years: 43.4 ± 13.7) with prolactinoma (21 microadenomas and 14 macroadenomas) who were followed-up at the Endocrinology Unit, in Siena, and with available pituitary hormone assessment at baseline and during follow-up (m ± SD, years: 2.74 ± 0.55).
RESULTS
IGF-1 increased in the whole cohort, but remaining within normal range, except two patients, in whom acromegaly was ruled out with oral glucose tolerance test. After dividing patients by weight, this trend was confirmed only in subjects with overweight and obesity (OV/OB) (p = 0.04). Interestingly, the reduction of prolactin levels was significantly greater in the OV/OB compared to normal-weight patients (median decrease of 97.5% versus 88.2%, p = 0.04).
CONCLUSIONS
Since DA and normalization of prolactin are known to improve insulin sensitivity, we speculated they have favored the increase of IGF-1 in OV/OB. Our results should be confirmed and the hypothesis proven by further studies.
Topics: Humans; Prolactinoma; Insulin-Like Growth Factor I; Female; Male; Adult; Retrospective Studies; Dopamine Agonists; Pituitary Neoplasms; Middle Aged; Cabergoline; Body Weight; Follow-Up Studies; Prolactin; Body Mass Index; Prognosis
PubMed: 38902646
DOI: 10.1186/s12902-024-01622-4 -
Journal of Neuroendocrinology Jun 2024The objective of this study is to conduct a bibliometric analysis of research trends in hyperprolactinemia from 2011 to 2023. This analysis aims to provide researchers... (Review)
Review
The objective of this study is to conduct a bibliometric analysis of research trends in hyperprolactinemia from 2011 to 2023. This analysis aims to provide researchers with insights into the current hotspots and frontiers related to hyperprolactinemia. It is worth noting that there are currently no existing reports on bibliometric analyses of hyperprolactinemia. The Social Science Citation Index (SSCI) and Science Citation Index Expanded (SCIE) databases of the Web of Science Core Collection were systematically searched for "articles" and "review articles" related to the topic of hyperprolactinemia from 2011 to 2023. VOSviewer was employed to conduct bibliometric analysis, aiming to analyze the research trends in hyperprolactinemia over the past 13 years. A total of 1865 eligible articles were retrieved, with contributions from 9544 scholars representing 83 countries in the field of research. The United States had the highest number of publications, followed by China. The keywords were categorized into six clusters: (1) etiology of hyperprolactinemia and other related endocrine and metabolic diseases. (2) Hyperprolactinemia and mental illness. (3) Diagnosis and management of hyperprolactinemia. (4) Treatment of hyperprolactinemia and prolactinoma. (5) Detection of macroprolactin and macroprolactinemia. (6) Symptoms of male hyperprolactinemia. Over the past 13 years, there has been a consistent and slightly increasing trend in the number of research papers focusing on hyperprolactinemia. The primary areas of research focus are centered around the diagnosis and treatment of hyperprolactinemia caused by antipsychotic drugs or prolactinoma.
PubMed: 38894508
DOI: 10.1111/jne.13422 -
Nature Reviews. Endocrinology Jun 2024
PubMed: 38886618
DOI: 10.1038/s41574-024-01010-x -
International Journal of Surgery Case... Jul 2024Ectopic pituitary neuroendocrine tumor (EPNET) is a very rare entity, seldom with apoplexy evolution. Only three cases of intracranial ectropic pituitary neuroendocrine...
INTRODUCTION AND IMPORTANCE
Ectopic pituitary neuroendocrine tumor (EPNET) is a very rare entity, seldom with apoplexy evolution. Only three cases of intracranial ectropic pituitary neuroendocrine tumor apoplexy were reported in the literature.
CASE PRESENTATION
We report the case of a 45-year-old woman with a history of amenorrhea, and headaches. Neuroimaging showed a very aggressive giant mass within the clivus with the invasion of the sphenoidal sinus and encasement of internal carotid arteries with an empty sella. Endocrinology work-up revealed an exceedingly high level of prolactin surprisingly without galactorrhea. Immunohistochemical analysis after an endonasal biopsy confirmed the diagnosis of prolactinoma. One month after Cabergoline initiation, an apoplexy of the ectopic pituitary neuroendocrine tumor occurred. Conservational management with a decrease in cabergoline dose was performed.
DISCUSSION
This article highlights data from various cases reported in the literature in addition to our case to confirm the extreme rarity of apoplexy as a complication of EPNET.
CONCLUSION
Pituitary apoplexy in ectopic pituitary neuroendocrine tumor is extremely rare. Therefore, in case of unusual localization of pituitary neuroendocrine tumor, a thorough follow-up is necessary to detect complications and ensure early management.
PubMed: 38878728
DOI: 10.1016/j.ijscr.2024.109874 -
Innere Medizin (Heidelberg, Germany) Jul 2024The 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... (Review)
Review
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.
Topics: Humans; Pituitary Neoplasms; Diagnosis, Differential; Adenoma; Prolactinoma
PubMed: 38869654
DOI: 10.1007/s00108-024-01729-9 -
The Journal of Craniofacial Surgery Jun 2024To summarize the application experience of the pneumatic arm in transnasal sphenoidal pituitary adenoma resection under neuroendoscope.
OBJECTIVE
To summarize the application experience of the pneumatic arm in transnasal sphenoidal pituitary adenoma resection under neuroendoscope.
METHODS
A retrospective analysis was conducted on the clinical data of 52 patients with pituitary adenoma who underwent endoscopic transsphenoidal surgery with pneumatic arm fixation in the Neurosurgery Department of the First Affiliated Hospital of Anhui Medical University from July 2021 to March 2024. Among them, there were 5 cases of pituitary microadenoma, 35 cases of macroadenoma, and 12 cases of giant adenoma. Head CT and a full set of hormones were re-examined within 24 hours after surgery to evaluate the surgical effect. Follow-up was conducted by the outpatient department after surgery to assess the clinical symptoms, hormone level, and imaging of all patients.
RESULTS
Among 52 patients, gross total resection was achieved in 48 cases (92.3%), subtotal resection in 3 cases (5.8%), and partial resection in 1 case (1.9%). Preoperatively, 43 patients had diminished vision, with 40 showing improvement postoperatively, 1 worsening, and 2 having no significant improvement. Thirty-eight patients had headaches preoperatively, and all showed varying degrees of improvement postoperatively. Routine hormone examination within 24 hours after surgery showed that all 20 prolactinoma patients had restored normal hormone levels, 10 of 12 growth hormone-secreting adenoma patients normalized, and 4 of 6 cases of adrenocorticotropic hormone-secreting adenoma immediately relieved after surgery. Postoperative complications included intracranial hematoma in 1 case, cerebrospinal fluid leakage in 2 cases, transient diabetes insipidus in 6 cases, intracranial infection in 1 case, and no death cases. The median follow-up time of 52 patients was 18.6 months (range: 1-32 mo). During the follow-up period, the initial clinical symptoms of all patients improved to varying degrees, and they were able to work and live normally. At the last follow-up, 1 patient had recurrent tumor and 1 patient had progression.
CONCLUSION
Transnasal sphenoidal resection of pituitary adenoma using a pneumatic arm-fixed neuroendoscope allows the operator to perform the surgery with both hands, resulting in satisfactory overall tumor resection and fewer surgical complications. This technique has good clinical value for promotion.
PubMed: 38861352
DOI: 10.1097/SCS.0000000000010415 -
Journal of Imaging Informatics in... Jun 2024This study aims to investigate the feasibility of preoperatively predicting histological subtypes of pituitary neuroendocrine tumors (PitNETs) using machine learning and...
This study aims to investigate the feasibility of preoperatively predicting histological subtypes of pituitary neuroendocrine tumors (PitNETs) using machine learning and radiomics based on multiparameter MRI. Patients with PitNETs from January 2016 to May 2022 were retrospectively enrolled from four medical centers. A cfVB-Net network was used to automatically segment PitNET multiparameter MRI. Radiomics features were extracted from the MRI, and the radiomics score (Radscore) of each patient was calculated. To predict histological subtypes, the Gaussian process (GP) machine learning classifier based on radiomics features was performed. Multi-classification (six-class histological subtype) and binary classification (PRL vs. non-PRL) GP model was constructed. Then, a clinical-radiomics nomogram combining clinical factors and Radscores was constructed using the multivariate logistic regression analysis. The performance of the models was evaluated using receiver operating characteristic (ROC) curves. The PitNET auto-segmentation model eventually achieved the mean Dice similarity coefficient of 0.888 in 1206 patients (mean age 49.3 ± SD years, 52% female). In the multi-classification model, the GP of T2WI got the best area under the ROC curve (AUC), with 0.791, 0.801, and 0.711 in the training, validation, and external testing set, respectively. In the binary classification model, the GP of T2WI combined with CE T1WI demonstrated good performance, with AUC of 0.936, 0.882, and 0.791 in training, validation, and external testing sets, respectively. In the clinical-radiomics nomogram, Radscores and Hardy' grade were identified as predictors for PRL expression. Machine learning and radiomics analysis based on multiparameter MRI exhibited high efficiency and clinical application value in predicting the PitNET histological subtypes.
PubMed: 38844718
DOI: 10.1007/s10278-024-01153-3 -
The Journal of Clinical Endocrinology... Jun 2024
Response to Letter to the Editor from Andereggen and Christ: "Clinical Characteristics and Outcomes of Prolactinomas in Children and Adolescents: A Large Retrospective Cohort Study".
PubMed: 38843073
DOI: 10.1210/clinem/dgae384 -
The Journal of Clinical Endocrinology... Jun 2024
PubMed: 38843072
DOI: 10.1210/clinem/dgae383