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Pituitary Adenoma

Pituitary Adenoma: A type of benign tumor that arises from the pituitary gland.
Pituitary adenomas can secrete excess hormones, leading to endocrine disorders, or they can be non-functioning and cause symptoms due to mass effect.
Careful diagnosis and management of pituitary adenomas is crucial to avoid compications and optimize patient outcomes.
PubCompare.ai can help streamline your pituitary adenoma research by locating relevant protocols and leveraging AI-driven comparisons to identify the best approaches for your needs, improving reproducibility and accelerating discovery.

Most cited protocols related to «Pituitary Adenoma»

Our study population (1725 subjects, Table 1) was recruited via the collaborative research network of the International FIPA Consortium (15 ). Pituitary adenoma patients were grouped into 11 clinical diagnostic categories (Supplemental Table 1). The diagnoses of acromegaly, acromegaly/prolactinoma, gigantism, gigantism/prolactinoma, and mild acromegaly (16 (link)) were grouped together under the category of GH excess for some analyses.
Between January 2007 and January 2014, we recruited patients from 35 countries from two different groups: either members of FIPA families, defined by the presence of pituitary adenomas in two or more members of a family without other associated clinical features (1 (link)– (link)3 (link), 17 (link)) (familial cohort), or sporadically diagnosed pituitary adenoma patients with disease onset at 30 years of age or younger (sporadic cohort). As an exception to these inclusion criteria, one AIPmut-positive sporadic patient older than 30 years was found thanks to AIP screening in the setting of a research study, and the screening of his relatives detected a second AIPmut-positive pituitary adenoma case; this family was included in the familial cohort. The first patient reported in each FIPA family and all the sporadic patients were considered probands. All the patients received treatment and were followed up in accordance with the guidelines and clinical criteria of their respective centers. Relevant clinical and family structure data were received from clinicians and/or patients, and genetic screening was performed in the families of all the AIPmut-positive probands, selecting individuals according to their risk of inheriting the mutation, based on their position in the family tree, and extending the screening to as many generations as possible. In both familial and sporadic cases, other causes of familial pituitary adenomas, such as MEN1 and MEN4, Carney complex, pheochromocytoma/paraganglioma and pituitary adenoma syndrome, and X-linked acrogigantism were ruled out by clinical, biochemical and, in some cases, genetic tests, as appropriate.
The study population included a great majority of new cases but also previously diagnosed patients being followed up by the participating centers and a few historical cases, corresponding to deceased members of FIPA families (further details in Supplemental Results). Four AIPmut-positive patients (two with diagnosis of acromegaly and two with gigantism) died in the postrecruitment period. Three of the deaths were due to cardiovascular causes (stroke, chronic heart failure, and acute coronary syndrome), whereas the exact cause of death is unknown in the fourth, a patient with long-standing untreated familial acromegaly.
All the patients and family members included agreed to take part by providing signed informed consent forms approved by the local ethics committee. Further details on the study population and the procedures for genetic/clinical screening and search for disease-modifying genes are described in the Supplemental Material.
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Publication 2015
Acromegaly Acute Coronary Syndrome Adenoma Cardiovascular System Carney Complex Cerebrovascular Accident Diagnosis Family Member Family Structure Genetic Testing Gigantism Heart Failure Hereditary Diseases Multiple Endocrine Neoplasia, Type IV Multiple Endocrine Neoplasia Type 1 Mutation Paraganglioma Patients Pheochromocytoma Pituitary Adenoma Pituitary Adenoma, Familial Isolated Pituitary Diseases Prolactinoma Regional Ethics Committees Screenings, Genetic Syndrome Youth
Inclusion criteria: 1) MRI examination showed lesions diameter ≥ 4 cm in sellar region; 2) Tumor resection was performed in Department of Neurosurgery, Fuzhou General Hospital, Fujian Medical University; 3) Pituitary adenoma was diagnosed by pathological examination. Exclusion criteria: 1) Pituitary adenoma resection was performed before admission; 2) History of preoperative radiotherapy.
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Publication 2014
Neoplasms Neurosurgical Procedures Pituitary Adenoma Radiotherapy
The detailed experimental procedures and statistical analyses are provided in Supplemental Methods. In brief, in AIP half-life experiments, HEK293 and EBV-immortalized cells (derived from a control subject [EBV-LC-AIP_WT] and a patient with a heterozygous AIPmut [EBV-LC-AIP_p.R304*]) were treated with cycloheximide (CHX, 100 μg/mL) and total protein was extracted at various time points for Western blot (WB). RNA stability was analyzed using RT-qPCR. Fifteen AIP variant plasmids (obtained by site-directed mutagenesis, Tables 1 and 2) were transfected into HEK293 cells for half-life experiments (CHX, 20 μg/mL, Table 2), in the presence or absence of the proteasome inhibitor MG-132 (20 μM). Genetic and clinical data were collected from 100 pituitary adenoma patients [60 from our cohort (4 (link)) and 40 cases reported in the literature] carrying the missense AIP variants as well as the nonsense mutation we have studied here. AIP interacting partners were identified in a pull-down assay from rat GH-secreting GH3 cells using glutathione-S-transferase-fused WT and mutant AIP synthetic proteins followed by quantitative mass spectrometry. Coimmunoprecipitation and siRNA knockdown (KD) of FBXO3 were used to study the role of FBXO3 in AIP degradation. Half-life experiments were analyzed using a one-phase decay equation, and the degradation speed (K) was compared between each mutant protein and the WT protein using the extra sum-of-squares F test. Correlation between half-life and clinical features was analyzed using data derived from studies listed in Table 3 using the Spearman R test. For other analyses, Kruskal-Wallis, one-way ANOVA, and linear regression tests were used as appropriate, and significance was taken as P < .05.
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Publication 2016
Biological Assay Cells Co-Immunoprecipitation Cycloheximide Glutathione S-Transferase HEK293 Cells Heterozygote Mass Spectrometry MG 132 Missense Mutation Mutagenesis, Site-Directed Mutant Proteins Mutation, Nonsense neuro-oncological ventral antigen 2, human Patients Pituitary Adenoma Plasmids Proteins Reproduction RNA, Small Interfering Somatotrophs Western Blotting
We analyzed samples obtained from 43 patients with gigantism who had hypersecretion of growth hormone, evidence of an anterior pituitary lesion on magnetic resonance imaging, a height on country-specific growth charts of either more than the 97th percentile or more than 2 SD above the mean height for age, and negative test results for mutations or deletions in genes associated with pituitary adenomas (Table 1). Details with respect to one family with this syndrome8 (link),9 (link) and two patients with sporadic disease10 (link),11 (link) have been described previously.
Publication 2014
Gene Deletion Gigantism Growth Hormone Mutation Patients Pituitary Adenoma Pituitary Hormones, Anterior

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Publication 2011
Acoustic Neuroma Brain Contrast Media Dental Occlusion Gadolinium Glioma Head Magnetic Resonance Imaging Meningioma Patients Pituitary Adenoma Radiotherapy Seahorses X-Ray Computed Tomography

Most recents protocols related to «Pituitary Adenoma»

This cross-hospital study included 422 T2DM patients admitted to the Endocrinology Department of Cangzhou Central Hospital between July 2017 and December 2019. The inclusion criteria were as follows: aged ≥ 18 years old with normal thyroid function and negative autoantibodies, including thyroid peroxidase antibody (TPOAb), thyroglobulin antibody, or thyrotropin receptor antibody, and diagnosed with T2DM according to the criteria of the American Diabetes Association.21 (link) The exclusion criteria were as follows: those who had any acute complications of diabetes; a history of thyroid disease; any other endocrine disorder such as Addison’s disease, Cushing syndrome, pituitary adenoma, or hypopituitarism; retinopathy unrelated to diabetes; a severe infection; an inflammatory disease; malignant tumors; liver or renal dysfunction; and thyroid-function-altering medications or drugs. This study was approved by the Cangzhou Central Hospital Ethics Committee and was performed following the Declaration of Helsinki guidelines, including any relevant details. Due to the retrospective nature of the study, the requirement for informed consent was waived.
Publication 2023
Addison Disease anti-thyroglobulin antibody Autoantibodies Complications of Diabetes Mellitus Cushing Syndrome Diabetes Mellitus Endocrine System Diseases Ethics Committees, Clinical Hypopituitarism Infection Inflammation Kidney Failure Liver Malignant Neoplasms Patients Pharmaceutical Preparations Pituitary Adenoma Retinal Diseases System, Endocrine Thyroid-Stimulating Immunoglobulins Thyroid Diseases Thyroid Gland thyroid microsomal antibodies
This meta-analysis was performed by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two independent investigators (Nie and Fang) conducted literature (from inception to May 15, 2022), using the following databases: PubMed, Cochrane, and Ovid MEDLINE. Search strategy based on keywords is as follows: “pituitary adenoma,” “growth hormone pituitary adenoma,” “growth hormone-producing pituitary adenoma,” “somatotroph tumor,” “acromegaly,” “endoscopic surgery,” “endoscopic transsphenoidal surgery,” “anterior pituitary function,” “pituitary insufficiency,” “hypothyroidism,” “thyroid insufficiency,” “adrenal insufficiency,” “hypoadrenalism,” and “endoscopic.”
Two researchers (Nie and Fang) independently conducted literature screening, data extraction, and quality evaluation. If there is any disagreement, another researcher will help mediate it (Zhang). The inclusion criteria were English original research articles. Case reports, conference abstracts, meta-analyses, and reviews were excluded. This article should describe the pituitary hormone before and after endoscopic transsphenoidal pituitary tumor surgery in patients with somatotroph tumors. References to all selected articles are reviewed.
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Publication 2023
Acromegaly Conferences Endoscopy Growth Hormone Growth Hormone-Secreting Pituitary Adenoma Hypoaldosteronism Hypofunction, Adrenal Gland Hypopituitarism Hypothyroidism Neoplasms Patients Pituitary Adenoma Pituitary Hormones Pituitary Hormones, Anterior Pituitary Neoplasms Somatotrophs Surgical Endoscopy Thyroid Gland
We collected the following data on patients who underwent ETSS for pituitary adenomas: patient basic information (age, sex, duration of visual symptoms); tumor characteristics (tumor maximum diameter identified by MRI, tumor texture, categorized as not hard (easily or difficultily removed by suction), or hard (not removable by suction and excised en bloc)) (18 (link)); radiological examination (optic chiasm compression identified via MRI); visual field testing (diffuse defect or not, preoperative MD); laboratory values on admission (Ki67, CD34, EGFR, Mmp9, P53, neutrophil (×109/L), platelet (×109/L), lymphocyte (×109/L), neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index(SII)(×109/L), and platelet-to-lymphocyte ratio (PLR)); and outcome (the improvement of VFD after ETSS).
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Publication 2023
Blood Platelets EGFR protein, human Inflammation Lymphocyte MMP9 protein, human Neoplasms Neutrophil Optic Chiasms Patients Pituitary Adenoma Suction Drainage X-Rays, Diagnostic
All data were statistically analyzed using the R software version 4.2.0 (R Foundation for Statistical Computing, Vienna, Austria). Frequency (percentages) was used for categorical variables, while mean ± standard deviation and median (interquartile range) were used for continuous variables. Nominal data were compared using the Chi-squared or Fisher’s exact test. For comparisons among these groups, ANOVA and Mann-Whitney U-tests were performed depending on the mode of data distribution.
The least absolute shrinkage and selection operator (LASSO) regression method is a shrinkage method that can actively select from a large and potentially multicollinear set of variables in the regression and can result in a more relevant and interpretable set of predictors (19 (link)). This method can reduce the size of the coefficients of the independent variables according to their predictive power. Variables were selected to identify the optimum combination of variables that could predict the improvement of VFD in patients with pituitary tumors using the LASSO regression model. During the LASSO analysis, the built-in function in R produces two automatic λ’s: one that minimizes the binomial deviance and one representing the largest λ that is still within one standard error of the minimum binomial deviance. We opted for the largest λ as it results in a stricter penalty, allowing us to reduce the number of covariates even further than the deviance-minimizing λ.
Finally, after selecting the optimal combination of variables, a dynamic nomogram (https://cerebralnomogram.shinyapps.io/Pituitary_adenoma_IVFDnom/) was created. Next, the discriminative ability of the nomogram was summarized using the receiver operating characteristic curve. The uniformity between the nomogram and the ideal observation was evaluated via the calibration curve, and the calibration plots on the slope of the 45° line were considered excellent models. A decision curve was used to evaluate the clinical application of the nomogram. To research the differences of the difficulty in the improvement of visual field defect among the divided twelve ranges. Thus, we compare the improvement rate of visual field defect in each ranges (dichotomous variables) using the Mantel-Haenszel method via Revman software. A P>0.05 is defined as significance difference.
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Publication 2023
Discrimination, Psychology neuro-oncological ventral antigen 2, human Patients Pituitary Adenoma Pituitary Neoplasms
Patients with pituitary adenomas were identified by histopathology and magnetic resonance imaging (MRI) at the First Affiliated Hospital of Soochow University between January 2021 and April 2022. All participants underwent pre- and postoperative ophthalmic examinations, including visual acuity and visual field measurements. The visual field map was divided into the superior temporal region (0–90°), inferior temporal region (270–360°), superior nasal region (90–180°), and inferior nasal regions (180–270°). Each region was divided into three ranges (0–30°, 30–60°, 60–90°, 90–120°, 120–150°, 150–180°, 180–210°, 210–240°, 240–270°, 270–300°, 300–330°, and 330–360°).
The inclusion criteria were as follows: (1) pituitary adenomas identified by histopathological examination and MRI; (2) evidence of preoperative VF impairment; (3) endoscopic endonasal surgery; and (4) totally resection identified by postoperative MRI.
Exclusion criteria were as follows: (1) patients without defects in the preoperative visual field; (2) unavailable data or insufficient ophthalmic examinations; (3) previous treatment for ocular lesions and previous ocular surgery; (4) high myopia (>6 diopters); (5) congenital eye disease; (6) glaucoma, any optic disc anomaly, and macular disease.
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Publication 2023
Administration, Ophthalmic Eye Eye Abnormalities Glaucoma Macula Lutea Myopia Nose Optic Disk Patients Physical Examination Pituitary Adenoma Surgical Endoscopy Temporal Lobe Visual Acuity

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More about "Pituitary Adenoma"

Pituitary adenomas are a type of benign tumor that arises from the pituitary gland, a small endocrine gland located at the base of the brain.
These tumors can lead to various endocrine disorders by secreting excess hormones, or they can cause symptoms due to the physical pressure they exert on surrounding tissues.
Accurate diagnosis and careful management of pituitary adenomas is crucial to avoid complications and ensure optimal patient outcomes.
Diagnostic techniques may include imaging tests like magnetic resonance imaging (MRI) or computed tomography (CT) scans, as well as hormone level assessments and other laboratory analyses.
Treatment options for pituitary adenomas can vary depending on the specific type and characteristics of the tumor, as well as the patient's individual circumstances.
Common approaches may include medication to regulate hormone levels, surgical removal of the tumor, or radiation therapy.
In your pituitary adenoma research, you may utilize a variety of cell culture media and reagents to study these tumors, such as Fetal Bovine Serum (FBS), Penicillin/Streptomycin, and DMEM (Dulbecco's Modified Eagle Medium).
Additionally, techniques like the X-CLARITY clearing system, high-capacity cDNA reverse transcription, and RNAlater RNA stabilization may be employed to prepare and analyze pituitary adenoma samples.
PubCompare.ai can be a valuable tool in streamlining your pituitary adenoma research by helping you locate relevant protocols from the scientific literature, preprints, and patents, and by leveraging AI-driven comparisons to identify the best approaches for your needs.
This can improve the reproducibility of your experiments and accelerate your discovery process.