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Casar-Borota O, Burman P, Lopes MB. The 2022 WHO classification of tumors of the pituitary gland: An update on aggressive and metastatic pituitary neuroendocrine tumors. Brain Pathol 2024:e13302. [PMID: 39218431 DOI: 10.1111/bpa.13302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 08/09/2024] [Indexed: 09/04/2024] Open
Abstract
The vast majority of pituitary neuroendocrine tumors (PitNETs) are benign and slow growing with a low relapse rate over many years after surgical resection. However, about 40% are locally invasive and may not be surgically cured, and about one percentage demonstrate an aggressive clinical behavior. Exceptionally, these aggressive tumors may metastasize outside the sellar region to the central nervous system and/or systemically. The 2017 (4th Edition) WHO Classification of Pituitary Tumors abandoned the terminology "atypical adenoma" for tumors previously considered to have potential for a more aggressive behavior since its prognostic value was not established. The 2022 (5th Edition) WHO Classification of the Pituitary Tumors emphasizes the concept that morphological features distinguish indolent tumors from locally aggressive ones, however, the proposed histological subtypes are not consistent with the real life clinical characteristics of patients with aggressive tumors/carcinomas. So far, no single clinical, radiological or histological parameter can determine the risk of growth or malignant progression. Novel promising molecular prognostic markers, such as mutations in ATRX, TP53, SF3B1, and epigenetic DNA modifications, will need to be verified in larger tumor cohorts. In this review, we provide a critical analysis of the WHO guidelines for prognostic stratification and diagnosis of aggressive and metastatic PitNETs. In addition, we discuss the new WHO recommendations for changing ICD-O and ICD-11 codes for PitNET tumor behavior from a neoplasm either "benign" or "unspecified, borderline, or uncertain behavior" to "malignant" neoplasm regardless of the clinical presentation, histopathological subtype, and tumor location. We encourage multidisciplinary initiatives for integrated clinical, histological and molecular classification, which would enable early recognition of these challenging tumors and initiation of more appropriate and aggressive treatments, ultimately improving the outcome.
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Affiliation(s)
- Olivera Casar-Borota
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
- Department of Clinical Pathology, Uppsala University Hospital, Uppsala, Sweden
| | - Pia Burman
- Department of Endocrinology, Skåne University Hospital, Lund University, Malmö, Sweden
| | - M Beatriz Lopes
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, Virginia, USA
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Durmuş ET, Kefeli M, Mete O, Çalışkan S, Aslan K, Onar MA, Çolak R, Durmuş B, Cokluk C, Atmaca A. Granulation Patterns of Functional Corticotroph Tumors Correlate with Tumor Size, Proliferative Activity, T2 Intensity-to-White Matter Ratio, and Postsurgical Early Biochemical Remission. Endocr Pathol 2024; 35:185-193. [PMID: 39046680 PMCID: PMC11387444 DOI: 10.1007/s12022-024-09819-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/15/2024] [Indexed: 07/25/2024]
Abstract
Unlike somatotroph tumors, the data on correlates of tumor granulation patterns in functional TPIT lineage pituitary neuroendocrine tumors (corticotroph tumors) have been less uniformly documented in most clinical series. This study evaluated characteristics of 41 well-characterized functional corticotroph tumors consisting of 28 densely granulated corticotroph tumors (DGCTs) and 13 sparsely granulated corticotroph tumors (SGCTs) with respect to preoperative clinical and radiological findings, tumor proliferative activity (including mitotic count and Ki-67 labeling index), and postoperative early biochemical remission rates. The median (interquartile range (IQR)) tumor size was significantly larger in the SGCT group [16.00 (16.00) mm in SGCT vs 8.5 (9.75) mm in DGCT, p = 0.049]. T2-weighted signal intensity and T2 intensity (quantitative) did not yield statistical significance based on tumor granulation; however, the T2 intensity-to-white matter ratio was significantly higher in SGCTs (p = 0.049). The median (IQR) Ki-67 labeling index was 2.00% (IQR 1.00%) in the DGCT group and 4.00% (IQR 7.00%) in the SGCT group (p = 0.043). The mitotic count per 2 mm2 was higher in the SGCT group (p = 0.001). In the multivariate analysis, the sparse granulation pattern (SGCT) remained an independent predictor of a lower probability of early biochemical remission irrespective of the tumor size and proliferative activity (p = 0.012). The current study further supports the impact of tumor granulation pattern as a biologic variable and warrants the detailed histological subtyping of functional corticotroph tumors as indicated in the WHO classification of pituitary neuroendocrine tumors. More importantly, the assessment of the quantitative T2 intensity-to-white matter ratio may serve as a preoperative radiological harbinger of SGCTs.
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Affiliation(s)
- Elif Tutku Durmuş
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ondokuz Mayis University, 55200, Atakum Samsun, Turkey.
| | - Mehmet Kefeli
- Department of Pathology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Ozgur Mete
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Department of Pathology, University Health Network, 200 Elizabeth Street, 11 Floor, Toronto, ON, M5G 2C4, Canada
- Endocrine Oncology Site Group, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - Sultan Çalışkan
- Department of Pathology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Kerim Aslan
- Department of Radiology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Mustafa Arda Onar
- Department of Radiology, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Ramis Çolak
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ondokuz Mayis University, 55200, Atakum Samsun, Turkey
| | - Buğra Durmuş
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ondokuz Mayis University, 55200, Atakum Samsun, Turkey
| | - Cengiz Cokluk
- Department of Neurosurgery, Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | - Ayşegül Atmaca
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ondokuz Mayis University, 55200, Atakum Samsun, Turkey
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Marazuela M, Martínez-Hernandez R, Marques-Pamies M, Biagetti B, Araujo-Castro M, Puig-Domingo M. Predictors of biochemical response to somatostatin receptor ligands in acromegaly. Best Pract Res Clin Endocrinol Metab 2024; 38:101893. [PMID: 38575404 DOI: 10.1016/j.beem.2024.101893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Although predictors of response to first-generation somatostatin receptor ligands (fg-SRLs), and to a lesser extent to pasireotide, have been studied in acromegaly for many years, their use is still not recommended in clinical guidelines. Is there insufficient evidence to use them? Numerous biomarkers including various clinical, functional, radiological and molecular markers have been identified. The first ones are applicable pre-surgery, while the molecular predictors are utilized for patients not cured after surgery. In this regard, factors predicting a good response to fg-SRLs are specifically: low basal GH, a low GH nadir in the acute octreotide test, T2 MRI hypointensity, a densely granulated pattern, high immunohistochemistry staining for somatostatin receptor 2 (SSTR2), and E-cadherin. However, there is still a lack of consensus regarding which of these biomarkers is more useful or how to integrate them into clinical practice. With classical statistical methods, it is complex to define reliable and generalizable cut-off values for a single biomarker. The potential solution to the limitations of traditional methods involves combining systems biology with artificial intelligence, which is currently providing answers to such long-standing questions that may eventually be finally included into the clinical guidelines and make personalized medicine a reality. The aim of this review is to describe the current knowledge of the main fg-SRLs and pasireotide response predictors, discuss their current usefulness, and point to future directions in the research of this field.
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Affiliation(s)
- Mónica Marazuela
- Department of Endocrinology and Nutrition Hospital Universitario La Princesa, Universidad Autónoma de Madrid,Instituto de Investigación Princesa, and Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER GCV14/ER/12), Madrid, Spain.
| | | | | | - Betina Biagetti
- Endocrinology & Nutrition Service, Vall d'Hebron University Hospital and Vall d'Hebron Research Institute (VHIR), Department of Medicine, Autonomous University of Barcelona, Reference Networks (ERN), 08035 Barcelona, Spain
| | - Marta Araujo-Castro
- Endocrinology & Nutrition Department. Hospital Universitario Ramón y Cajal, Spain & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS), Madrid, Spain
| | - Manel Puig-Domingo
- Department of Endocrinology and Nutrition, Department of Medicine, Germans Trias i Pujol Research Institute and Hospital, Universitat Autònoma de Barcelona, Spain and Centro de Investigación Biomédica en Red de Enfermedades Raras CIBERER G747, Badalona, Spain
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Kiseljak-Vassiliades K, Lipe K, Turin CG, Fishbein L, Costello JC, Kerr JM, Holmstoen TB, Youssef AS, Lillehei KO, Kleinschmidt-DeMasters BK, Wierman ME. E-cadherin expression and gene expression profiles in corticotroph pituitary neuroendocrine tumor subtypes. J Neuropathol Exp Neurol 2024; 83:586-595. [PMID: 38777808 DOI: 10.1093/jnen/nlae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2024] Open
Abstract
Corticotroph adenomas/pituitary neuroendocrine tumors (PitNETs) are associated with significant morbidity and mortality. Predictors of tumor behavior have not shown high prognostic accuracy. For somatotroph adenomas/PitNETs, E-cadherin expression correlates strongly with prognosis. E-cadherin expression has not been investigated in other PitNETs. A retrospective chart review of adults with corticotroph adenomas/PitNETs was conducted to assess correlation between E-cadherin expression and tumor characteristics. In addition, gene expression microarray was performed in subset of tumors (n = 16). Seventy-seven patients were identified; 71% were female, with median age of cohort 45.2 years. Seventy-five percent had macroadenomas, of which 22% were hormonally active. Ninety-five percent of microadenomas were hormonally active. Adrenocorticotropic hormone granulation pattern by IHC identified 63% as densely granulated (DG) and 34% as sparsely granulated (SG). All microadenomas were DG (p < .001); 50% of macroadenomas were DG associated with increased tumor invasion compared to SG. E-cadherin IHC was positive in 80%, diminished in 17%, and absent in 20% and did not correlate with corticotroph PitNETs subtype, size, or prognosis. In contrast to the distinct transcriptomes of corticotroph PitNETs and normal pituitaries, a comparison of clinically active and silent corticotroph PitNETs demonstrated similar molecular signatures indicating their common origin, but with unique differences related to their secretory status.
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Affiliation(s)
- Katja Kiseljak-Vassiliades
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Section of Endocrinology, Department of Medicine, Research Service at Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colorado, USA
| | - Kristin Lipe
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Surgery, Good Samaritan Regional Medical Center, Corvallis, Oregon, USA
| | - Christie G Turin
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Lauren Fishbein
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Section of Endocrinology, Department of Medicine, Research Service at Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colorado, USA
- Department of Biomedical Informatics, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - James C Costello
- Department of Pharmacology, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- University of Colorado Cancer Center, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Janice M Kerr
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Tessa B Holmstoen
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - A Samy Youssef
- Department of Neurosurgery, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Kevin O Lillehei
- Department of Neurosurgery, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Bette K Kleinschmidt-DeMasters
- Department of Neurosurgery, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Pathology, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Neurology, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Margaret E Wierman
- Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine, Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Section of Endocrinology, Department of Medicine, Research Service at Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colorado, USA
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Hladik M, Nasi-Kordhishti I, Dörner L, Kandilaris K, Schittenhelm J, Bender B, Honegger J, Behling F. Comparative analysis of intraoperative and imaging features of invasive growth in pituitary adenomas. Eur J Endocrinol 2024; 190:489-500. [PMID: 38798200 DOI: 10.1093/ejendo/lvae059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/04/2024] [Accepted: 05/24/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Most pituitary adenomas (PAs), also termed pituitary neuroendocrine tumors, are benign in nature and can be treated effectively by surgical resection, medical treatment, and in special cases by radiotherapy. However, invasive growth can be an important feature of a more aggressive behavior and adverse prognosis. The extension of PAs into the cavernous sinus can be categorized according to the Knosp criteria on magnetic resonance imaging (MRI). Comparative analyses of MRI features and intraoperative findings of invasive growth regarding different clinical factors are still scarce. MATERIALS AND METHODS We performed a retrospective single-center analysis of 764 PAs that were surgically treated between October 2004 and April 2018. Invasive growth was assessed according to the surgical reports and preoperative MRI (Knosp criteria). Clinical data, such as patient age at diagnosis and gender, histopathological adenoma type, and extent of resection, were collected. RESULTS Invasive features on MRI were seen in 24.4% (Knosp grades 3A-4, 186/764) of the cases. Intraoperatively, invasion was present in 42.4% (324/764). Complete resection was achieved in 80.0% of adenomas and subtotal resection, in 20.1%. By multivariate analysis, invasion according to intraoperative findings was associated with the sparsely granulated corticotroph (SGCA, P = .0026) and sparsely granulated somatotroph (SGSA, P = .0103) adenoma type as well as age (P = .0287). Radiographic invasion according to Knosp grades 3A-4 correlated with age (P = .0098), SGCAs (P = .0005), SGSAs (P = .0351), and gonadotroph adenomas (P = .0478). Both criteria of invasion correlated with subtotal resection (P = .0001, respectively). CONCLUSIONS Both intraoperative and radiographic signs of invasive growth are high-risk lesions for incomplete extent of resection and occur more frequently in older patients. A particularly high prevalence of invasion can be found in the SGCA and SGSA types. Cavernous sinus invasion is also more common in gonadotroph adenomas. Usage of the Knosp classification is a valuable preoperative estimation tool.
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Affiliation(s)
- Mirko Hladik
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Department of Orthopedic, Trauma and Spine Surgery, Thun Hospital, 3600 Thun, Switzerland
| | - Isabella Nasi-Kordhishti
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
| | - Lorenz Dörner
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
| | - Kosmas Kandilaris
- Faculty of Medicine, Medical Center, Institute for Surgical Pathology, Albert Ludwig University of Freiburg, 79098 Freiburg, Germany
| | - Jens Schittenhelm
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Department of Neuropathology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
| | - Benjamin Bender
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
| | - Jürgen Honegger
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
| | - Felix Behling
- Center for Neuro-Oncology, Comprehensive Cancer Center Tübingen-Stuttgart, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Department of Neurosurgery and Neurotechnology, University Hospital Tübingen, Eberhard-Karls-University Tübingen, 72076 Tübingen, Germany
- Hertie Institute for Clinical Brain Research, 72076 Tübingen, Germany
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Wang L, He X, Lu L, Chen L, Peng C, Shao C, Ge R. Clinicopathological Analysis of Densely and Sparsely Granulated Somatotroph Tumors of Pituitary. World Neurosurg 2024; 185:e713-e720. [PMID: 38408701 DOI: 10.1016/j.wneu.2024.02.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 02/19/2024] [Accepted: 02/20/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVE Somatotroph tumors are the second most common type of pituitary neuroendocrine tumors, which can be further classified into 2 subtypes-densely granulated somatotroph tumors (DGSTs) and sparsely granulated somatotroph tumors (SGSTs). The aim of this study was to investigate the clinical significance of the 2 subtypes in a retrospective analysis. METHODS From the database of the Ningbo Clinical Pathology Diagnosis Center, we collected patients diagnosed with pituitary somatotroph tumors. We then compiled pertinent clinical and radiological data and proceeded with histopathological examination involving hematoxylin-eosin staining and immunohistochemical staining. Subsequent analysis compared the 2 subtypes using either χ2 test or Fisher exact test. RESULTS We analyzed 40 cases of somatotroph tumors, 18 cases DGSTs and 22 SGSTs. Male-to-female ratio was 5:4 for DGSTs and 4:7 for SGSTs. Mean age was 52.83 years for DGSTs and 47.18 years for SGSTs. Statistically significant differences were observed between the DGST and SGST groups in invasiveness (P = 0.0267) and postoperative remission (P = 0.007). Cells of both DGSTs and SGSTs exhibited coexpression of PIT1, growth hormone, and CAM5.2, although the patterns of CAM5.2 expression differed between the 2 subtypes. CONCLUSIONS The efficacy of CAM5.2 staining in distinguishing between DGSTs and SGSTs was demonstrated. SGSTs, with their increased invasiveness and lower remission rate, are a high-risk subtype. The histological subtype of somatotroph tumors plays a crucial role in guiding treatment decisions and prognostic evaluation in affected patients.
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Affiliation(s)
- Li Wang
- Department of Pathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China
| | - Xiaoman He
- Department of Pathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China
| | - Lixia Lu
- Department of Pathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China
| | - Li Chen
- Department of Pathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China
| | - Can Peng
- Department of Pathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China
| | - Chenning Shao
- Department of Pathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China
| | - Rong Ge
- Department of Pathology, Ningbo Clinical Pathology Diagnosis Center, Ningbo, China.
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Cohen-Cohen S, Rindler R, Botello Hernandez E, Donegan D, Erickson D, Meyer FB, Atkinson JL, Van Gompel JJ. A Novel Preoperative Score to Predict Long-Term Biochemical Remission in Patients with Growth-Hormone Secreting Pituitary Adenomas. World Neurosurg 2024; 182:e882-e890. [PMID: 38123128 DOI: 10.1016/j.wneu.2023.12.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
OBJECTIVE Transsphenoidal surgery (TSS) is considered the treatment of choice in most patients with growth hormone (GH)-secreting pituitary adenomas. Several preoperative factors have been studied to predict postsurgical remission. Our objective was to design a score that could be used in the preoperative setting to identify patients that will achieve long-term biochemical remission after TSS. METHODS A retrospective analysis of consecutive patients with GH-secreting pituitary adenomas that underwent TSS in our institution from 2000 to 2015 who fulfilled prespecified criteria were included. Logistic regression methods were used to evaluate independent preoperative variables predicting long-term remission. Beta coefficients were used to create a scoring system for clinical practice. RESULTS Sixty-eight patients were included, with a mean follow-up time of 87 months. Twenty (29%) patients had tumors with a Knosp grade ≥ 3A. Gross-total resection was achieved in 43 (63%) patients. Thirty-three (48%) patients had long-term biochemical remission after TSS. In a multivariate analysis, the following variables were statistically significantly associated with long-term biochemical remission: age, adenoma size (diameter), Knosp grade, GH level, and insulin growth-factor 1index 1 at diagnosis. A score of <3 out of 8 total points was identified as a cutoff associated with long-term remission, with a sensitivity of 91.4% and specificity of 72.7% (AUC 0.867, OR 28.44, 95% CI 6.94-116.47, P = < 0.001). CONCLUSIONS A novel, simple, easy-to-use scoring system was created to identify patients with the highest chances of long-term biochemical remission following TSS. This scale should be prospectively validated in a multicenter study before widespread adoption.
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Affiliation(s)
| | - Rima Rindler
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Diane Donegan
- Division of Endocrinology, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, USA; Division of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Dana Erickson
- Division of Endocrinology, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, USA
| | - Fredric B Meyer
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - John L Atkinson
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Jamie J Van Gompel
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
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8
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Tang Y, Xie T, Guo Y, Liu S, Li C, Liu T, Zhao P, Yang L, Li Z, Yang H, Zhang X. Analysis of Diffusion-Weighted and T2-Weighted Imaging in the Prediction of Distinct Granulation Patterns of Somatotroph Adenomas. World Neurosurg 2024; 182:e334-e343. [PMID: 38052365 DOI: 10.1016/j.wneu.2023.11.107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 12/07/2023]
Abstract
OBJECTIVE The heterogeneity of the somatotroph adenomas, especially for sparsely granulated (SG) and densely granulated (DG) subtypes, has attracted great attention in identifying their imaging biomarker. The purpose of the current study was to compare the diagnostic performance of diffusion-weighted and T2-weighted magnetic resonance imaging (MRI) sequences for preoperatively distinguishing the granulation patterns of somatotroph adenomas. METHODS Thirty-two patients with a clinical diagnosis of somatotroph adenomas from October 2018 to March 2023 were included in this study. Coronal diffusion-weighted imaging (DWI) and T2-weighted MRI sequence data were collected from 3.0T MRI and compared between SG and DG groups. The immunohistochemistry was used to confirm the electron microscopy pathologic subtypes and Ki67 expression levels of somatotroph adenomas postoperatively. RESULTS Patients in the SG group had significantly higher signal intensity (SI) ratio of DWI (rDWI) (P < 0.001), lower SI ratio of apparent diffusion coefficient (rADC) (P < 0.001), and higher SI ratio of T2-weighted imaging (P = 0.011). The combined diagnosis index of rDWI and rADC had the highest diagnostic efficiency in predicting SG adenomas (sensitivity, 93.3%; specificity, 88.2%; P < 0.001). The rDWI and rADC values had positive and negative correlations with the Ki67 index and tumor maximum diameter, respectively. Lower rADC×103 was an independent predictor for SG adenomas. CONCLUSIONS Our results indicated that compared with previously used T2-weighted imaging, the DWI sequence, especially the combined diagnosis index of rDWI and rADC, could more efficiently distinguish the granulation patterns of somatotroph adenomas preoperatively.
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Affiliation(s)
- Yifan Tang
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Tao Xie
- Department of Neurosurgery, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; The Innovation and Translation Alliance of Neuroendoscopy in the Yangtze River Delta, Shanghai, China
| | - Yinglong Guo
- Department of Radiology, Fudan University, Shanghai, China
| | - Shuang Liu
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Chen Li
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Tengfei Liu
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Puyuan Zhao
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - LiangLiang Yang
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Zeyang Li
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Hantao Yang
- Department of Neurosurgery, Fudan University, Shanghai, China
| | - Xiaobiao Zhang
- Department of Neurosurgery, Fudan University, Shanghai, China; Department of Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Digital Medical Research Center, Fudan University, Shanghai, China; The Innovation and Translation Alliance of Neuroendoscopy in the Yangtze River Delta, Shanghai, China; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China.
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9
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Dottermusch M, Ryba A, Ricklefs FL, Flitsch J, Schmid S, Glatzel M, Saeger W, Neumann JE, Schüller U. Pituitary neuroendocrine tumors with PIT1/SF1 co-expression show distinct clinicopathological and molecular features. Acta Neuropathol 2024; 147:16. [PMID: 38228887 PMCID: PMC10791732 DOI: 10.1007/s00401-024-02686-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 12/17/2023] [Accepted: 01/04/2024] [Indexed: 01/18/2024]
Abstract
Pituitary neuroendocrine tumors (PitNETs) are classified according to cell lineage, which requires immunohistochemistry for adenohypophyseal hormones and the transcription factors (TFs) PIT1, SF1, and TPIT. According to the current WHO 2022 classification, PitNETs with co-expression of multiple TFs are termed "plurihormonal". Previously, PIT1/SF1 co-expression was prevailingly reported in PitNETs, which otherwise correspond to the somatotroph lineage. However, little is known about such tumors and the WHO classification has not recognized their significance. We compiled an in-house case series of 100 tumors, previously diagnosed as somatotroph PitNETs. Following TF staining, histopathological features associated with PIT1/SF1 co-expression were assessed. Integration of in-house and publicly available sample data allowed for a meta-analysis of SF1-associated clinicopathological and molecular features across a total of 270 somatotroph PitNETs. The majority (74%, 52/70) of our densely granulated somatotroph PitNETs (DGST) unequivocally co-expressed PIT1 and SF1 (DGST-PIT1/SF1). None (0%, 0/30) of our sparsely granulated somatotroph PitNETs (SGST) stained positive for SF1 (SGST-PIT1). Among DGST, PIT1/SF1 co-expression was significantly associated with scarce FSH/LH expression and fewer fibrous bodies compared to DGST-PIT1. Integrated molecular analyses including publicly available samples confirmed that DGST-PIT1/SF1, DGST-PIT1 and SGST-PIT1 represent distinct tumor subtypes. Clinicopathological meta-analyses indicated that DGST-PIT1 respond more favorably towards treatment with somatostatin analogs compared to DGST-PIT1/SF1, while both these subtypes show an overall less aggressive clinical course than SGST-PIT1. In this study, we spotlight that DGST with co-expression of PIT1 and SF1 represent a common, yet underrecognized, distinct PitNET subtype. Our study questions the rationale of generally classifying such tumors as "plurihormonal", and calls for a refinement of the WHO classification. We propose the term "somatogonadotroph PitNET".
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Affiliation(s)
- Matthias Dottermusch
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
- Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | - Alice Ryba
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Franz L Ricklefs
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jörg Flitsch
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Simone Schmid
- Department of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Markus Glatzel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Wolfgang Saeger
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julia E Neumann
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
- Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Children's Cancer Research Center Hamburg, Hamburg, Germany
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10
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Tomasik A, Stelmachowska-Banaś M, Maksymowicz M, Czajka-Oraniec I, Raczkiewicz D, Zieliński G, Kunicki J, Zgliczyński W. Pathologic Characteristics of Somatotroph Pituitary Tumors-An Observational Single-Center Study. Biomedicines 2023; 11:3315. [PMID: 38137536 PMCID: PMC10741635 DOI: 10.3390/biomedicines11123315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/26/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
The pathologic evaluation of a tumor tissue is an essential part of an acromegaly patient's assessment. This study aimed to analyze the pathologic characteristics of pituitary tumors in patients with acromegaly. The demographic data, in addition to the hormonal, imaging, and pathologic results of 120 patients with acromegaly after pituitary surgery, were extracted from the Polish Acromegaly Registry. We compared sparsely and densely granulated tumors, GH(+), mixed GH(+)/PRL(+) and plurihormonal tumors, α-subunit-positive and α-subunit-negative tumors, and tumors of various Ki-67 indices in terms of the abovementioned features. Sparsely granulated tumors were more frequent in women than in men (p = 0.001) and in younger patients (p = 0.011), and they were larger (p < 0.001) compared to densely granulated tumors. Tumors with positive α-subunit were smaller (p = 0.013), showed extrasellar extension less often (p = 0.039), and were more often densely granulated (p < 0.001) compared to α-subunit-negative tumors. Patients with a higher Ki-67 index were younger (p < 0.001) and more often diagnosed with genetic syndromes (p = 0.02); they had higher GH concentrations (p = 0.007), larger tumors (p = 0.006), and cavernous sinus invasions more frequently (p = 0.022). Conclusions: The pathologic characteristics of somatotroph pituitary tumors are associated with patient's age, sex, hormonal results, tumor size, and the degree of extrasellar expansion.
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Affiliation(s)
- Agnieszka Tomasik
- Department of Endocrinology, Centre of Postgraduate Medical Education, 01-813 Warsaw, Poland
| | | | - Maria Maksymowicz
- Department of Cancer Pathomorphology, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Izabella Czajka-Oraniec
- Department of Endocrinology, Centre of Postgraduate Medical Education, 01-813 Warsaw, Poland
| | - Dorota Raczkiewicz
- Department of Medical Statistics, School of Public Health, Centre of Postgraduate Medical Education, 01-813 Warsaw, Poland
| | - Grzegorz Zieliński
- Department of Neurosurgery, Military Institute of Medicine, 04-141 Warsaw, Poland
| | - Jacek Kunicki
- Department of Neurosurgery, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Wojciech Zgliczyński
- Department of Endocrinology, Centre of Postgraduate Medical Education, 01-813 Warsaw, Poland
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11
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Vuong HG, Dunn IF. Clinical and prognostic significance of granulation patterns in somatotroph adenomas/tumors of the pituitary: a meta-analysis. Pituitary 2023; 26:653-659. [PMID: 37735314 DOI: 10.1007/s11102-023-01353-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/28/2023] [Indexed: 09/23/2023]
Abstract
INTRODUCTION Sparsely granulated somatotroph adenoma/tumor (SGST) is thought to be more clinically aggressive than densely granulated somatotroph adenoma/tumor (DGST). However, the literature is not entirely consistent as to the disparate demographic and behavioral features of these subtypes. In this study, we conducted a meta-analysis to further clarify the demographic, clinicopathological, prognostic, and molecular characteristics of SGST versus DGST. METHODS We accessed two electronic databases to search for potential data. Pooled estimates of odds ratio (OR), mean difference (MD), and corresponding 95% confidence interval (CI) were calculated using the random-effect model. RESULTS SGST was associated with younger patient age and lower male-to-female ratio (p < 0.001) compared to DGST. Clinically, SGST had larger tumor size and high rate of cavernous sinus and suprasellar extension (p < 0.001) than DGST. During postoperative follow-up, SGST was associated with a lower endocrinological remission rate (OR 0.60; 95% CI 0.40 to 0.90; p = 0.01) and a poorer response rate to SRL (OR 0.16; 95% CI 0.08-0.35; p < 0.001) in comparison to DGST. The prevalence of GSP mutations was significantly lower in SGST (OR 0.36; 95% CI 0.17 to 0.79; p = 0.01). CONCLUSION SGST and DGST were demographically, clinicopathologically, and molecularly different from each other with the former associated with adverse treatment outcomes and poor response to medical therapy. There are still gaps in translational studies that could help us better understand the behavior of these tumors and identify potential targets in the treatment of sparsely granulated tumors.
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Affiliation(s)
- Huy Gia Vuong
- Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA, 52241, USA
| | - Ian F Dunn
- Department of Neurosurgery, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA.
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12
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Marques-Pamies M, Gil J, Jordà M, Puig-Domingo M. Predictors of Response to Treatment with First-Generation Somatostatin Receptor Ligands in Patients with Acromegaly. Arch Med Res 2023; 54:102924. [PMID: 38042683 DOI: 10.1016/j.arcmed.2023.102924] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 10/27/2023] [Accepted: 11/17/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND AND AIMS Predictors of first-generation somatostatin receptor ligands (fgSRLs) response in acromegaly have been studied for over 30 years, but they are still not recommended in clinical guidelines. Is there not enough evidence to support their use? This systematic review aims to describe the current knowledge of the main predictors of fgSRLs response and discuss their current usefulness, as well as future research directions. METHODS A systematic search was performed in the Scopus and PubMed databases for functional, imaging, and molecular predictive factors. RESULTS A total of 282 articles were detected, of which 64 were included. Most of them are retrospective studies performed between 1990 and 2023 focused on the predictive response to fgSRLs in acromegaly. The usefulness of the predictive factors is confirmed, with good response identified by the most replicated factors, specifically low GH nadir in the acute octreotide test, T2 MRI hypointensity, high Somatostatin receptor 2 (SSTR2) and E-cadherin expression, and a densely granulated pattern. Even if these biomarkers are interrelated, the association is quite heterogeneous. With classical statistical methods, it is complex to define reliable and generalizable cut-off values worth recommending in clinical guidelines. Machine-learning models involving omics are a promising approach to achieve the highest accuracy values to date. CONCLUSIONS This survey confirms a sufficiently robust level of evidence to apply knowledge of predictive factors for greater efficiency in the treatment decision process. The irruption of artificial intelligence in this field is providing definitive answers to such long-standing questions that may change clinical guidelines and make personalized medicine a reality.
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Affiliation(s)
| | - Joan Gil
- Endocrine Research Unit, Germans Trias i Pujol Research Institute, Badalona, Spain; Network Research Center for Rare Diseases, CIBERER, Unit 747, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology, Research Center for Pituitary Diseases, Hospital Sant Pau, IIB-SPau, Barcelona, Spain
| | - Mireia Jordà
- Endocrine Research Unit, Germans Trias i Pujol Research Institute, Badalona, Spain
| | - Manel Puig-Domingo
- Endocrine Research Unit, Germans Trias i Pujol Research Institute, Badalona, Spain; Network Research Center for Rare Diseases, CIBERER, Unit 747, Instituto de Salud Carlos III, Madrid, Spain; Department of Endocrinology and Nutrition, Germans Trias i Pujol University Hospital, Badalona, Spain; Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain.
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13
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Kober P, Rymuza J, Baluszek S, Maksymowicz M, Nyc A, Mossakowska BJ, Zieliński G, Kunicki J, Bujko M. DNA Methylation Pattern in Somatotroph Pituitary Neuroendocrine Tumors. Neuroendocrinology 2023; 114:51-63. [PMID: 37699356 DOI: 10.1159/000533692] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/14/2023] [Indexed: 09/14/2023]
Abstract
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.
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Affiliation(s)
- Paulina Kober
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Julia Rymuza
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Szymon Baluszek
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Maria Maksymowicz
- Department of Cancer Pathomorphology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Aleksandra Nyc
- Department of Cancer Pathomorphology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Beata J Mossakowska
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Grzegorz Zieliński
- Department of Neurosurgery, Military Institute of Medicine, Warsaw, Poland
| | - Jacek Kunicki
- Department of Neurosurgery, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Mateusz Bujko
- Department of Molecular and Translational Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
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14
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Dumitriu-Stan RI, Burcea IF, Salmen T, Poiana C. Prognostic Models in Growth-Hormone- and Prolactin-Secreting Pituitary Neuroendocrine Tumors: A Systematic Review. Diagnostics (Basel) 2023; 13:2118. [PMID: 37371013 DOI: 10.3390/diagnostics13122118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/02/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023] Open
Abstract
Growth-hormone (GH)- and prolactin (PRL)-secreting PitNETs (pituitary neuroendocrine tumors) are divided into multiple histological subtypes, which determine their clinical and biological variable behavior. Proliferation markers alone have a questionable degree of prediction, so we try to identify validated prognostic models as accurately as possible. (1) Background: The data available so far show that the use of staging and clinical-pathological classification of PitNETs, along with imaging, are useful in predicting the evolution of these tumors. So far, there is no consensus for certain markers that could predict tumor evolution. The application of the WHO (World Health Organisation) classification in practice needs to be further evaluated and validated. (2) Methods: We performed the CRD42023401959 protocol in Prospero with a systematic literature search in PubMed and Web of Science databases and included original full-text articles (randomized control trials and clinical trials) from the last 10 years, published in English, and the search used the following keywords: (i) pituitary adenoma AND (prognosis OR outcome OR prediction), (ii) growth hormone pituitary adenoma AND (prognosis OR outcome OR prediction), (iii) prolactin pituitary adenoma AND (prognosis OR outcome OR prediction); (iv) mammosomatotroph adenoma AND (prognosis OR outcome OR prediction). (3) Results: Two researchers extracted the articles of interest and if any disagreements occurred in the selection process, these were settled by a third reviewer. The articles were then assessed using the ROBIS bias assessment and 75 articles were included. (4) Conclusions: the clinical-pathological classification along with factors such as GH, IGF-1, prolactin levels both preoperatively and postoperatively offer valuable information.
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Affiliation(s)
- Roxana-Ioana Dumitriu-Stan
- Department of Endocrinology, 'Carol Davila' University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Doctoral School of 'Carol Davila' University of Medicine and Pharmacy, 050474 Bucharest, Romania
| | - Iulia-Florentina Burcea
- Department of Endocrinology, 'Carol Davila' University of Medicine and Pharmacy, 020021 Bucharest, Romania
- 'C. I. Parhon' National Institute of Endocrinology, 011863 Bucharest, Romania
| | - Teodor Salmen
- Doctoral School of 'Carol Davila' University of Medicine and Pharmacy, 050474 Bucharest, Romania
| | - Catalina Poiana
- Department of Endocrinology, 'Carol Davila' University of Medicine and Pharmacy, 020021 Bucharest, Romania
- 'C. I. Parhon' National Institute of Endocrinology, 011863 Bucharest, Romania
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15
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Wijethilake N, MacCormac O, Vercauteren T, Shapey J. Imaging biomarkers associated with extra-axial intracranial tumors: a systematic review. Front Oncol 2023; 13:1131013. [PMID: 37182138 PMCID: PMC10167010 DOI: 10.3389/fonc.2023.1131013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 03/27/2023] [Indexed: 05/16/2023] Open
Abstract
Extra-axial brain tumors are extra-cerebral tumors and are usually benign. The choice of treatment for extra-axial tumors is often dependent on the growth of the tumor, and imaging plays a significant role in monitoring growth and clinical decision-making. This motivates the investigation of imaging biomarkers for these tumors that may be incorporated into clinical workflows to inform treatment decisions. The databases from Pubmed, Web of Science, Embase, and Medline were searched from 1 January 2000 to 7 March 2022, to systematically identify relevant publications in this area. All studies that used an imaging tool and found an association with a growth-related factor, including molecular markers, grade, survival, growth/progression, recurrence, and treatment outcomes, were included in this review. We included 42 studies, comprising 22 studies (50%) of patients with meningioma; 17 studies (38.6%) of patients with pituitary tumors; three studies (6.8%) of patients with vestibular schwannomas; and two studies (4.5%) of patients with solitary fibrous tumors. The included studies were explicitly and narratively analyzed according to tumor type and imaging tool. The risk of bias and concerns regarding applicability were assessed using QUADAS-2. Most studies (41/44) used statistics-based analysis methods, and a small number of studies (3/44) used machine learning. Our review highlights an opportunity for future work to focus on machine learning-based deep feature identification as biomarkers, combining various feature classes such as size, shape, and intensity. Systematic Review Registration: PROSPERO, CRD42022306922.
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Affiliation(s)
- Navodini Wijethilake
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Oscar MacCormac
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London, United Kingdom
| | - Tom Vercauteren
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jonathan Shapey
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Neurosurgery, King’s College Hospital NHS Foundation Trust, London, United Kingdom
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16
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Bianchi A, Chiloiro S, Giampietro A, Gaudino S, Calandrelli R, Mazzarella C, Caldarella C, Rigante M, Gessi M, Lauretti L, De Marinis L, Olivi A, Pontecorvi A, Doglietto F. Multidisciplinary management of difficult/aggressive growth-hormone pituitary neuro-endocrine tumors. Front Endocrinol (Lausanne) 2023; 14:1123267. [PMID: 37206441 PMCID: PMC10189777 DOI: 10.3389/fendo.2023.1123267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/13/2023] [Indexed: 05/21/2023] Open
Abstract
Growth Hormone-secreting adenomas exhibits variable biological behavior and heterogeneous natural history, ranging from small adenomas and mild disease, to invasive and aggressive neoplasms with more severe clinical picture. Patients not cured or controlled after neurosurgical and first-generation somatostatin receptor ligands (SRL) therapy could require multiple surgical, medical and/or radiation treatments to achieve disease control. To date, no clinical, laboratory, histopathological, or neuroradiological markers are able to define the aggressiveness or predict the disease prognosis in patients with acromegaly. Therefore, the management of these patients requires careful evaluation of laboratory assessments, diagnostic criteria, neuroradiology examinations, and neurosurgical approaches to choose an effective and patient-tailored medical therapy. A multidisciplinary approach is particularly useful in difficult/aggressive acromegaly to schedule multimodal treatment, which includes radiation therapy, chemotherapy with temozolomide and other, recent emerging treatments. Herein, we describe the role of the different members of the multidisciplinary team according to our personal experience; a flow-chart for the therapeutic approach of difficult/aggressive acromegaly patients is proposed.
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Affiliation(s)
- Antonio Bianchi
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Sabrina Chiloiro
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- *Correspondence: Sabrina Chiloiro,
| | - Antonella Giampietro
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Simona Gaudino
- Radiology and Neuroradiology Unit, Department of Imaging, Radiation Therapy and Hematology, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Rosalinda Calandrelli
- Radiology and Neuroradiology Unit, Department of Imaging, Radiation Therapy and Hematology, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Ciro Mazzarella
- Radiation Therapy Unit, Department of Imaging, Radiation Therapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Carmelo Caldarella
- Nuclear Medicine Unit, Department of Imaging, Radiation Therapy and Hematology, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Mario Rigante
- Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Marco Gessi
- Neuropathology Unit, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Pathology Unit of Head and Neck, Lung and Endocrine Systems, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Liverana Lauretti
- Neurosurgery Unit, Department of Neurosciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Neurosurgery Unit, Department of Neurosciences, Catholic University School of Medicine, Rome, Italy
| | - Laura De Marinis
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Alessandro Olivi
- Neurosurgery Unit, Department of Neurosciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Neurosurgery Unit, Department of Neurosciences, Catholic University School of Medicine, Rome, Italy
| | - Alfredo Pontecorvi
- Pituitary Unit, Department of Medical and Surgical Sciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Endocrinology and Diabetes Unit, Department of Medical and Surgical Translational Sciences, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Francesco Doglietto
- Neurosurgery Unit, Department of Neurosciences, Fondazione Policlinico Universitario Agostino Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
- Neurosurgery Unit, Department of Neurosciences, Catholic University School of Medicine, Rome, Italy
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17
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The Prognostic-Based Approach in Growth Hormone-Secreting Pituitary Neuroendocrine Tumors (PitNET): Tertiary Reference Center, Single Senior Surgeon, and Long-Term Follow-Up. Cancers (Basel) 2022; 15:cancers15010267. [PMID: 36612263 PMCID: PMC9818833 DOI: 10.3390/cancers15010267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/25/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Postoperative deserved outcomes in acromegalic patients are to normalize serum insulin-like growth factor (IGF-1), reduce the tumoral mass effect, improve systemic comorbidities, and reverse metabolic alterations. Pituitary neuroendocrine tumors (PitNET) are characterized to present a heterogeneous behavior, and growth hormone (GH)-secreting PitNET is not an exception. Promptly determining which patients are affected by more aggressive tumors is essential to guide the optimal postoperative decision-making process [prognostic-based approach]. From 2006 to 2019, 394 patients affected by PitNET were intervened via endoscopic endonasal transsphenoidal approach by the same senior surgeon. A total of 44 patients that met the criteria to be diagnosed as acromegalic and were followed up at least for 24 months (median of 66 months (26-156) were included in the present study. Multiple predictive variables [age, gender, preoperative GH and IGF-1 levels, maximal tumor diameter, Hardy's and Knosp's grade, MRI. T2-weighted tumor intensity, cytokeratin expression pattern, and clinicopathological classification] were evaluated through uni- and multivariate statistical analysis. Sparse probability of long-term remission was related to younger age, higher preoperative GH and- or IGF-1, group 2b of the clinicopathological classification, and sparsely granulated cytokeratin expression pattern. Augmented recurrence risk was related to elevated preoperative GH levels, tumor MRI T2-weighted hyperintensity, and sparsely granulated cytokeratin expression pattern. Finally, elevated risk for reintervention was related to group 2b of the clinicopathological classification, Knosp's grade IV, and tumor MRI T2-weighted hyperintensity. In this study, the authors determined younger age, higher preoperative GH and- or IGF-1 levels, group 2b of the clinicopathological classification, Knosp's grade IV, MRI T2-weighted tumor hyperintensity and sparsely granulated cytokeratin expression pattern are related to worse postoperative outcomes in long-term follow-up patients affected with GH-secreting PitNET.
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Sahakian N, Appay R, Resseguier N, Graillon T, Piazzola C, Laure C, Figarella-Branger D, Régis J, Castinetti F, Brue T, Dufour H, Cuny T. Real-life clinical impact of a five-tiered classification of pituitary tumors. Eur J Endocrinol 2022; 187:893-904. [PMID: 36315463 DOI: 10.1530/eje-22-0812] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/31/2022] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Usually benign, pituitary tumors (PT) can be invasive and aggressive with a propensity to progress and/or recur. Trouillas's clinicopathological classification attempts to predict the evolutionary risk of a PT. In this study, we assessed the prognostic value of this classification in an independent patient cohort and analyzed its impact on treatment strategies. PATIENTS AND METHODS In this study, 607 patients operated on between 2008 and 2018 for a PT were included. Grading was established based on invasion, proliferative activity (Ki-67, mitotic index) and p53 positivity. The therapeutic management following surgery was analyzed. Progression-free survival (PFS) of the graded tumors was estimated (Kaplan-Meier method and log-rank test) and a multivariate analysis was performed (Cox regression model). RESULTS Grading identified non-invasive PT without (grade 1a: 303 cases) or with proliferative activity (grade 1b: 53 cases) and invasive PT without (grade 2a: 202 cases) or with proliferative activity (grade 2b: 49 cases). The mean follow-up was 47 ± 30 months (median: 38 months). Progression/recurrence occurred in 127 cases. Grades were significant and independent predictors of PFS (P < 0.001) with a 4.8-fold higher risk of progression/recurrence in grade 2b as compared to grade 1a. As second-line therapy, gamma knife or conventional radiotherapy controlled tumor growth in 91.6 and 100% of cases, respectively, irrespective of the grade. Proliferative tumors exposed the patient to a 9.5-fold higher risk of having ≥3 adjuvant therapeutic lines as compared to non-proliferative tumors. DISCUSSION Grading of a PT according to Trouillas's classification predicts its risk of progression and should advocate for a personalized therapeutic approach in invasive and proliferative tumors. SIGNIFICANCE STATEMENT This is the first study to assess, on a cohort of 607 well-characterized patients, the real-life therapeutic impact of the five-tiered clinicopathological classification of pituitary tumors. First, we validate that pituitary tumor grades predict the evolutionary risk of the tumor, with a significant higher risk of progression/recurrence in invasive and/or proliferative tumors (mean follow-up: 47 ± 30 months, median: 38 months). Moreover, our study provides evidence that patients with proliferative tumors have a higher risk to be retreated after primary surgery and point toward the fact that radiotherapy can successfully control tumor growth in case of progression or recurrence. Our findings advocate for a personalized therapeutic approach in clinically aggressive pituitary tumors.
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Affiliation(s)
- Nicolas Sahakian
- Aix Marseille Univ, MMG, INSERM U1251, MARMARA Institute, APHM, Hôpital de la Conception, Department of Endocrinology, CRMR HYPO, Marseille, France
| | - Romain Appay
- APHM, CHU Timone, Service d'Anatomie Pathologique et de Neuropathologie, Marseille, France
| | - Noémie Resseguier
- Aix Marseille Univ, APHM, Hôpital de la Timone, Service d'Epidemiologie et d'Economie de la Santé, Unité de Recherche Clinique, Direction de la Recherche en Santé, Marseille, France
- EA3279, CEReSS, Health Service Research and Quality of Life Center, Aix-Marseille University, Marseille, France
| | - Thomas Graillon
- Aix Marseille University, MMG, INSERM U1251, MARMARA Institute, APHM, Hôpital de la Timone Department of Neurosurgery, CRMR HYPO, Marseille, France
| | - Cécilia Piazzola
- Aix Marseille Univ, MMG, INSERM U1251, MARMARA Institute, APHM, Hôpital de la Conception, Department of Endocrinology, CRMR HYPO, Marseille, France
| | - Cécilia Laure
- Department of Endocrinology, University Hospital of Montpellier, France
| | | | - Jean Régis
- Aix Marseille University, INS-UMR1106, Department of Functional and Stereotactic Neurosurgery, CHU Timone, Marseille, France
| | - Frédéric Castinetti
- Aix Marseille Univ, MMG, INSERM U1251, MARMARA Institute, APHM, Hôpital de la Conception, Department of Endocrinology, CRMR HYPO, Marseille, France
| | - Thierry Brue
- Aix Marseille Univ, MMG, INSERM U1251, MARMARA Institute, APHM, Hôpital de la Conception, Department of Endocrinology, CRMR HYPO, Marseille, France
| | - Henry Dufour
- Aix Marseille University, MMG, INSERM U1251, MARMARA Institute, APHM, Hôpital de la Timone Department of Neurosurgery, CRMR HYPO, Marseille, France
| | - Thomas Cuny
- Aix Marseille Univ, MMG, INSERM U1251, MARMARA Institute, APHM, Hôpital de la Conception, Department of Endocrinology, CRMR HYPO, Marseille, France
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Transcriptomic Classification of Pituitary Neuroendocrine Tumors Causing Acromegaly. Cells 2022; 11:cells11233846. [PMID: 36497102 PMCID: PMC9738119 DOI: 10.3390/cells11233846] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/22/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022] Open
Abstract
Acromegaly results from growth hormone hypersecretion, predominantly caused by a somatotroph pituitary neuroendocrine tumor (PitNET). Acromegaly-causing tumors are histologically diverse. Our aim was to determine transcriptomic profiles of various somatotroph PitNETs and to evaluate clinical implication of differential gene expression. A total of 48 tumors were subjected to RNA sequencing, while expression of selected genes was assessed in 134 tumors with qRT-PCR. Whole-transcriptome analysis revealed three transcriptomic groups of somatotroph PitNETs. They differ in expression of numerous genes including those involved in growth hormone secretion and known prognostic genes. Transcriptomic subgroups can be distinguished by determining the expression of marker genes. Analysis of the entire cohort of patients confirmed differences between molecular subtypes of tumors. Transcriptomic group 1 includes ~20% of acromegaly patients with GNAS mutations-negative, mainly densely granulated tumors that co-express GIPR and NR5A1 (SF-1). SF-1 expression was verified with immunohistochemistry. Transcriptomic group 2 tumors are the most common (46%) and include mainly GNAS-mutated, densely granulated somatotroph and mixed PitNETs. They have a smaller size and express favorable prognosis-related genes. Transcriptomic group 3 includes predominantly sparsely granulated somatotroph PitNETs with low GNAS mutations frequency causing ~35% of acromegaly. Ghrelin signaling is implicated in their pathogenesis. They have an unfavorable gene expression profile and higher invasive growth rate.
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Gruppetta M. A current perspective of pituitary adenoma MRI characteristics: a review. Expert Rev Endocrinol Metab 2022; 17:499-511. [PMID: 36373167 DOI: 10.1080/17446651.2022.2144230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 11/02/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION MR imaging is an essential and fundamental tool in the diagnosis, management, and follow-up of patients with pituitary adenomas (PAs). Recent advances have continued to enhance the usefulness of this imaging modality. AREAS COVERED This article focuses on signal intensity patterns of PAs and associated clinical characteristics, vertical extension patterns, and cavernous sinus invasion with a special focus on the clinical implications that arise. A search using Medline and Google Scholar was conducted using different combinations of relevant keywords, giving preference to recent publications. EXPERT OPINION A higher proportion of GH-secreting PAs are hypointense on T2 weighted images compared to other tumor subtypes. Hypointense tumors are generally smaller compared to hyperintense ones, and among the GH-secreting subgroup, a better response to somatostatin analogue treatment was noted together with an association for a densely granulated pattern. Nonfunctional PAs show a predilection to extend upwards while GH-secreting PAs and prolactinomas show a predominantly inferior extension growth pattern. Further studies to better understand the mechanisms responsible for this behavior are anticipated. Further development, refining and validation of predictive scoring systems for tumor behavior might be useful adjuncts in the management of patients with PAs.
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Affiliation(s)
- Mark Gruppetta
- Department of Medicine, Faculty of Medicine and Surgery, University of Malta, Mater Dei Hospital, Msida, Malta
- Department of Medicine, Neuroendocrine Clinic, Mater Dei Hospital, Msida, Malta
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Albarel F, Cuny T, Graillon T, Dufour H, Brue T, Castinetti F. Preoperative Medical Treatment for Patient with Acromegaly: yes or no? J Endocr Soc 2022; 6:bvac114. [PMID: 35965944 PMCID: PMC9368018 DOI: 10.1210/jendso/bvac114] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Indexed: 11/19/2022] Open
Abstract
Transsphenoidal surgery is the first-line treatment for acromegaly. However, several factors can modify surgical remission rates, such as the initial hormone levels, the size and invasiveness of the tumor, and the degree of experience of the surgeon. Physicians treating patients with acromegaly should thus consider how to improve surgical remission rates. As stated in recent guidelines, the major point is to consider that any patient with acromegaly should be referred to an expert neurosurgeon to maximize the chances of surgical sure. The benefits of presurgical medical treatment, mainly using somatostatin receptor ligands (SRLs), given 3 to 6 months before surgery, remain controversial. By normalizing growth hormone and insulin-like growth factor 1 levels, SRLs may improve the overall condition of the patient, thus decreasing anesthetic and surgical complications. By decreasing the tumor size and modifying the consistency of the tumor, SRLs might also make surgical excision easier. This is however theoretical as published data are contradictory on both points, and only limited data support the use of a systematical presurgical medical treatment. The aim of this review is to analyze the potential benefits and pitfalls of using presurgical medical treatment in acromegaly in view of the contradictory literature data. We also attempt to determine the profile of patients who might most benefit from this presurgical medical treatment approach as an individualized therapeutic management of acromegaly.
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Affiliation(s)
- Frederique Albarel
- Aix Marseille Univ, INSERM, MMG, Marseille, France and French Reference Center for rare Pituitary Diseases, Department of Endocrinology, La Conception Hospital , Marseille, France
- Department of Endocrinology, Assistance Publique Hopitaux de Marseille , Marseille, France
| | - Thomas Cuny
- Aix Marseille Univ, INSERM, MMG, Marseille, France and French Reference Center for rare Pituitary Diseases, Department of Endocrinology, La Conception Hospital , Marseille, France
- Department of Endocrinology, Assistance Publique Hopitaux de Marseille , Marseille, France
| | - Thomas Graillon
- Aix Marseille Univ, INSERM, MMG, Marseille, France and French Reference Center for rare Pituitary Diseases, Department of Endocrinology, La Conception Hospital , Marseille, France
- Department of Neurosurgery, Assistance Publique Hopitaux de Marseille , Marseille, France
| | - Henry Dufour
- Aix Marseille Univ, INSERM, MMG, Marseille, France and French Reference Center for rare Pituitary Diseases, Department of Endocrinology, La Conception Hospital , Marseille, France
- Department of Neurosurgery, Assistance Publique Hopitaux de Marseille , Marseille, France
| | - Thierry Brue
- Aix Marseille Univ, INSERM, MMG, Marseille, France and French Reference Center for rare Pituitary Diseases, Department of Endocrinology, La Conception Hospital , Marseille, France
- Department of Endocrinology, Assistance Publique Hopitaux de Marseille , Marseille, France
| | - Frederic Castinetti
- Aix Marseille Univ, INSERM, MMG, Marseille, France and French Reference Center for rare Pituitary Diseases, Department of Endocrinology, La Conception Hospital , Marseille, France
- Department of Endocrinology, Assistance Publique Hopitaux de Marseille , Marseille, France
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Du P, Wu X, Lv K, Xiong J, Geng D. A Pituitary Carcinoma Patient With Cerebrospinal Fluid Dissemination Showing a Good Response to Temozolomide Combined With Whole-Brain and Spinal Cord Radiotherapy: A Case Report and Literature Review. Front Oncol 2022; 12:890458. [PMID: 35903687 PMCID: PMC9321396 DOI: 10.3389/fonc.2022.890458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 06/20/2022] [Indexed: 12/03/2022] Open
Abstract
Pituitary carcinoma (PC) is extremely rare, with its incidence only accounting for 0.1%-0.2% of pituitary tumor (PT). Existing histological features, including invasiveness, cellular pleomorphism, nuclear atypia, mitosis, necrosis, etc., can be observed in pituitary adenoma (PA), invasive PA (IPA) and PC. Invasion is not the basis for the diagnosis of PC. The diagnosis of PC is often determined after the metastases are found, hence early diagnosis is extraordinarily difficult. Owing to the conventional treatment for PC may not be effective, a large portion of patients survived less than one year after diagnosis. Therefore, it is of great significance to find an efficacious treatment for PC. We report a rare case of sparsely granulated somatotroph carcinoma with cerebrospinal fluid dissemination showing a favorable treatment response to temozolomide (TMZ) combined with whole-brain and spinal cord radiotherapy.
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Affiliation(s)
- Peng Du
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Huashan Hospital, Fudan University, Shanghai, China
| | - Xuefan Wu
- Department of Radiology, Shanghai Gamma Hospital, Huashan Hospital, Fudan University, Shanghai, China
| | - Kun Lv
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ji Xiong
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, China
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
- Center for Shanghai Intelligent Imaging for Critical Brain Diseases Engineering and Technology Research, Huashan Hospital, Fudan University, Shanghai, China
- *Correspondence: Daoying Geng,
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Kontogeorgos G, Thodou E, Osamura RY, Lloyd RV. High-risk pituitary adenomas and strategies for predicting response to treatment. Hormones (Athens) 2022; 21:1-14. [PMID: 35061210 DOI: 10.1007/s42000-021-00333-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 10/18/2021] [Indexed: 12/30/2022]
Abstract
High-risk pituitary adenomas are aggressive. They show clinical and imaging features similar to those of carcinomas, including infiltration of the surrounding brain structures, but lack cerebrospinal or systemic metastases. In addition, they display distinct behavior, including tendency for fast growth and frequent recurrences, which are difficult to control. The term "high-risk" adenoma was first introduced in the 4th edition of the World Health Organization Classification of Endocrine Tumors in 2017. Five defined adenoma types belong to this category, including sparsely granulated somatotroph, lactotroph in men, Crooke cell, silent corticotroph, and plurihormonal PIT-1 positive adenomas. The morphological and immunohistochemical characteristics of high-risk adenomas are herein described in detail. In addition, the clinical features and the treatment options are presented. This review focuses on predictive markers assessed by immunohistochemistry, which help clinicians to design the appropriate treatment strategies for high-risk adenomas. Somatostatin receptor status predicts effectiveness of postsurgical treatment with somatostatin analogs, and MGMT expression predicts response to treatment with temozolomide. This comprehensive review presents the clinical and pathological features of high-risk pituitary adenomas, underlines the contribution of immunohistochemistry, and emphasizes the leading role of pathology in the design of optimal clinical management.
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Affiliation(s)
- George Kontogeorgos
- Division of Endocrinology, First Propaedeutic Department of Internal Medicine, Laikon Hospital, National and Kapodistrian University of Athens, Athens, Greece.
- Department of Pathology and Pituitary Tumor Reference Center, G. Gennimatas General Hospital of Athens, Athens, Greece.
| | - Eleni Thodou
- Department of Pathology, University of Thessaly, Larissa, Greece
| | - Robert Y Osamura
- Department of Pathology, Nippon Koukan Hospital, Kawasaki, Kanagawa, Japan
| | - Ricardo V Lloyd
- Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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Gadelha MR, Wildemberg LE, Kasuki L. The Future of Somatostatin Receptor Ligands in Acromegaly. J Clin Endocrinol Metab 2022; 107:297-308. [PMID: 34618894 PMCID: PMC8764337 DOI: 10.1210/clinem/dgab726] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Indexed: 12/13/2022]
Abstract
Currently, the first-generation somatostatin receptor ligands (fg-SRLs), octreotide LAR and lanreotide autogel, are the mainstays of acromegaly treatment and achieve biochemical control in approximately 40% of patients and tumor shrinkage in over 60% of patients. Pasireotide, a second-generation SRL, shows higher efficacy with respect to both biochemical control and tumor shrinkage but has a worse safety profile. In this review, we discuss the future perspectives of currently available SRLs, focusing on the use of biomarkers of response and precision medicine, new formulations of these SRLs and new drugs, which are under development. Precision medicine, which is based on biomarkers of response to treatment, will help guide the decision-making process by allowing physicians to choose the appropriate drug for each patient and improving response rates. New formulations of available SRLs, such as oral, subcutaneous depot, and nasal octreotide, may improve patients' adherence to treatment and quality of life since there will be more options available that better suit each patient. Finally, new drugs, such as paltusotine, somatropin, ONO-5788, and ONO-ST-468, may improve treatment adherence and present higher efficacy than currently available drugs.
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Affiliation(s)
- Monica R Gadelha
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-913, Brazil
- Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, 20231-092, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, 20231-092, Brazil
- Correspondence: Mônica R. Gadelha, Rua Prof. Rodolpho Paulo Rocco, 255, 9th floor, Ilha do Fundão, Rio de Janeiro 21941-913, Brazil.
| | - Luiz Eduardo Wildemberg
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-913, Brazil
- Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, 20231-092, Brazil
| | - Leandro Kasuki
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho - Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941-913, Brazil
- Neuroendocrine Unit - Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, 20231-092, Brazil
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Akkus G, Odabaş F, Sözütok S, Sert M, Ak NE, Evran M, Tetiker T. Novel Classification of Acromegaly in Accordance with Immunohistochemical Subtypes: Is There Really a Clinical Relevance? Horm Metab Res 2022; 54:37-41. [PMID: 34844270 DOI: 10.1055/a-1685-0655] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
According to the recent studies, immunohistochemical subtypes of growth hormone (GH) secreting adenomas have been considered as a predictive factor in determining the clinical outcomes including biochemical, radiologic, and endocrine remission. In a 20 year-of time period, acromegaly patients who were treated and followed at the Endocrinology Department of our University Hospital were screened for the study. Of total 98 patients, 65 patients who had been operated by transsphenoidal surgery and having postoperative specimens were included. Postoperative specimens of the surgery of the patients were classified into 3 groups based on the histochemical characteristics (densely, sparsely, and mixed). Parasellar extensions of pituitary tumors were classified into the five grades according to Knosp classification. The patients were investigated and evaluated for postoperative clinical progress, remission rates, comorbidities regarding with the histopathological patterns. Of total 65 patients, 31 were classified as densely granulated (group 1), 32 were classified as sparsely granulated (group 2), and 2 patients were assessed as mixed granulated (group 3). There was no difference between groups for age and gender. Pre-treatment of adenoma size in all groups was correlated with each other and the frequency of macroadenoma (1 vs. 2, 77.4 vs. 84.3%) was higher in two groups. Although mean initial GH levels in group 1 was higher than the other groups (p=0.03), IGF1 levels (age and gender matched) were similar in each group. Adenomas in all groups demonstrated noninvasive radiological characteristics (Knosp grade 0-1-2). Ki-67 proliferation index of both groups (64.5 vs. 50%) was predominantly 1%. With a similar follow-up period, the endocrine remission rates (GH<1 μg/l) in groups were 64 vs. 69%, respectively. In conclusion, classification according to immunohistochemical subtypes of growth hormone secreting adenomas may not be a qualified parameter to evaluate patients with patterns of aggressiveness, clinical outcomes, or treatment response.
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Affiliation(s)
- Gamze Akkus
- Division of Endocrinology, Cukurova University, Adana, Turkey
| | - Fulya Odabaş
- Division of Endocrinology, Cukurova University, Adana, Turkey
| | - Sinan Sözütok
- Division of Radiology, Cukurova University, Adana, Turkey
| | - Murat Sert
- Division of Endocrinology, Cukurova University, Adana, Turkey
| | - Numan Emre Ak
- Internal Medicine Department, Cukurova University, Adana, Turkey
| | - Mehtap Evran
- Division of Endocrinology, Cukurova University, Adana, Turkey
| | - Tamer Tetiker
- Division of Endocrinology, Cukurova University, Adana, Turkey
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