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Goyal-Honavar A, Sarkar S, Chacko G, Balakrishnan R, Asha HS, Chacko AG. Growth hormone storm following infarction of a residual growth hormone secreting pituitary macroadenoma. Br J Neurosurg 2024; 38:983-986. [PMID: 34615430 DOI: 10.1080/02688697.2021.1988055] [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: 05/01/2021] [Revised: 09/15/2021] [Accepted: 09/28/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Thyrotroph pituitary adenomas have been reported to be a rare cause of 'thyroid storms', causing myriad metabolic and autonomic disturbances. In this case, we describe the second reported case in literature of a 'GH storm' in an infarcted somatotroph adenoma. CASE DESCRIPTION We describe a residual invasive somatotroph macroadenoma that underwent infarction, producing a dramatic elevation in serum GH levels. While infarction of adenomas may in some cases lead to remission, the patient went on to require re-surgery and re-radiation due to growth of the residual viable tumour. CONCLUSIONS 'GH storms' are rare but interesting events that may occur in somatotroph adenomas. Infarction or apoplexy must be considered when managing residual adenomas.
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Affiliation(s)
| | - Sauradeep Sarkar
- Department of Neurosurgery, Christian Medical College, Vellore, India
| | - Geeta Chacko
- Department of Pathology, Christian Medical College, Vellore, India
| | | | - H S Asha
- Department of Endocrinology, Christian Medical College, Vellore, India
| | - Ari G Chacko
- Department of Neurosurgery, Christian Medical College, Vellore, India
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2
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Kim K, Kim Y, Kim SH, Moon JH, Kim EH, Lee EJ, Oh CM, Ku CR. Differential gene expression and pathway analysis in growth hormone-secreting pituitary tumors according to granulation pattern. Front Oncol 2024; 14:1423606. [PMID: 39139281 PMCID: PMC11319302 DOI: 10.3389/fonc.2024.1423606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 07/15/2024] [Indexed: 08/15/2024] Open
Abstract
This study investigated differential gene expression between granulation patterns in growth hormone (GH)-secreting pituitary tumors, aiming to elucidate novel transcriptomes that explain clinical variances in patients with acromegaly. Transcriptome analysis was conducted on 6 normal pituitary tissues and 15 GH-secreting pituitary tumors, including 9 densely granulated somatotroph tumors (DGSTs) and 6 sparsely granulated somatotroph tumors (SGSTs). We identified 3111 differentially expressed genes (DEGs) in tumors compared to normal pituitaries, with 1117 DEGs unique to a specific granulation within tumors. SGST showed enrichment of neuronal development and acute inflammatory response pathways, along with a significant enhancement of JAK-STAT, phosphatidylinositol 3-kinase, and MAPK signaling. The results suggest that granulation-specific gene expression may underpin diverse clinical presentations in acromegaly, highlighting the potential for further investigation into these transcriptomic variations and their roles in disease pathology, particularly the involvement of genes linked to neuronal development, inflammatory response, and JAK-STAT signaling in SGST.
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Affiliation(s)
- Kyungwon Kim
- Endocrinology, Institute of Endocrine Research, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yeongmin Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Se Hoon Kim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ju Hyung Moon
- Department of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eui Hyun Kim
- Department of Neurosurgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Eun Jig Lee
- Endocrinology, Institute of Endocrine Research, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chang-Myung Oh
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Cheol Ryong Ku
- Endocrinology, Institute of Endocrine Research, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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Bizzi MF, Drummond JB, Pinheiro SVB, Paulino E, Araújo SA, Soares BS, Giannetti AV, Schweizer JRDOL, Barry S, Korbonits M, Ribeiro-Oliveira A. Activated AMP-protein kinase (pAMPK) is overexpressed in human somatotroph pituitary adenomas. Mol Cell Endocrinol 2024; 592:112318. [PMID: 38908427 DOI: 10.1016/j.mce.2024.112318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 06/17/2024] [Accepted: 06/18/2024] [Indexed: 06/24/2024]
Abstract
INTRODUCTION AMPK (AMP-activated protein kinase) is an enzyme that acts as a metabolic sensor and regulates multiple pathways via phosphorylating proteins in metabolic and proliferative pathways. The aim of this work was to study the activated cellular AMPK (phosphorylated-AMPK at Thr172, pAMPK) levels in pituitary tumor samples from patients with sporadic and familial acromegaly, as well as in samples from normal human pituitary gland. METHODS We studied pituitary adenoma tissue from patients with sporadic somatotroph adenomas, familial acromegaly with heterozygote germline variants in the aryl hydrocarbon receptor interacting protein (AIP) gene (p.Q164*, p.R304* and p.F269_H275dup) and autopsy from normal pituitary glands without structural alterations. RESULTS Cellular levels of pAMPK were significantly higher in patients with sporadic acromegaly compared to normal pituitary glands (p < 0.0001). Tissues samples from patients with germline AIP mutations also showed higher cellular levels of pAMPK compared to normal pituitary glands. We did not observe a significant difference in cellular levels of pAMPK according to the cytokeratin (CAM5.2) pattern (sparsely or densely granulated) for tumor samples of sporadic acromegaly. CONCLUSION Our data show, for the first time in human cells, an increase of cellular levels of pAMPK in sporadic somatotropinomas, regardless of cytokeratin pattern, as well as in GH-secreting adenomas from patients with germline AIP mutations.
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Affiliation(s)
- Mariana Ferreira Bizzi
- Departments of Internal Medicine of the Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 30130-100, Brazil
| | - Juliana Beaudette Drummond
- Departments of Internal Medicine of the Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 30130-100, Brazil
| | - Sergio Veloso Brant Pinheiro
- Departments of Pediatrics of the Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 30130-100, Brazil
| | - Eduardo Paulino
- Departments of Pathology of the Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 30130-100, Brazil
| | - Stanley Almeida Araújo
- Departments of Pathology of the Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 30130-100, Brazil
| | - Beatriz Santana Soares
- Departments of Internal Medicine of the Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 30130-100, Brazil
| | - Alexandre V Giannetti
- Departments of Surgery of the Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 30130-100, Brazil
| | | | - Sayka Barry
- Centre for Endocrinology of Queen Mary University of London, London, EC1M 6BQ, UK
| | - Márta Korbonits
- Centre for Endocrinology of Queen Mary University of London, London, EC1M 6BQ, UK
| | - Antonio Ribeiro-Oliveira
- Departments of Internal Medicine of the Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, 30130-100, Brazil.
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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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Mitsui Y, Mukai K, Otsuki M, Oshino S, Saitoh Y, Kohara M, Morii E, Fukuhara A, Shimomura I. Growth hormone increase by luteinizing hormone-releasing hormone reflects gonadotroph-related characteristics in acromegaly. Pituitary 2024:10.1007/s11102-024-01410-2. [PMID: 38954291 DOI: 10.1007/s11102-024-01410-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 07/04/2024]
Abstract
PURPOSE We previously showed the clinical characteristics of acromegaly with a paradoxical growth hormone (GH) response to oral glucose or thyrotropin-releasing hormone. However, the clinical characteristics of acromegaly with an increased GH response to luteinizing hormone-releasing hormone (LHRH responders) remain unclear. The aim of the present study was to evaluate the clinical characteristics, especially gonadotroph-related characteristics of LHRH responders in acromegaly. METHODS The clinical characteristics of 33 LHRH responders and 81 LHRH nonresponders were compared. RESULTS No differences in age, sex or basal serum levels of GH, insulin-like growth factor-1 (IGF-1), and gonadotropin were observed between the two groups. Steroidogenic factor 1 (SF-1), gonadotropin-releasing hormone receptor (GnRHR), and LH expression was more frequently observed in LHRH responders (P < 0.05). In addition, a greater increased rate of GH after LHRH loading, and the proportion of GnRHR and gonadotropin expression was observed in pituitary tumor with SF-1 expression than that without the expression (P < 0.01). LHRH responders showed a greater GH decrease in the octreotide test and a greater IGF-1 decrease after first-generation somatostatin ligand than LHRH nonresponders (P < 0.05). Furthermore, the proportion of hypointense pituitary tumors on T2-weighted magnetic resonance imaging and tumors with densely granulated type was higher in LHRH responders than in LHRH nonresponders, respectively (P < 0.05). No difference between the two groups was observed in either somatostatin receptor 2 or 5 expression. CONCLUSIONS The increased GH response to LHRH is associated with the gonadotroph-related characteristics. This response may reflect the biological characteristics of somatotroph tumors.
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Affiliation(s)
- Yuto Mitsui
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan
| | - Kosuke Mukai
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
| | - Michio Otsuki
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan
- Department of Endocrinology, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan
| | - Satoru Oshino
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan
| | | | - Masaharu Kohara
- Department of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Eiichi Morii
- Department of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Atsunori Fukuhara
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan
- Department of Adipose Management, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Iichiro Shimomura
- Department of Metabolic Medicine, Osaka University Graduate School of Medicine, 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan
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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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8
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Guaraldi F, Ambrosi F, Ricci C, Di Sciascio L, Asioli S. Histopathology of growth hormone-secreting pituitary tumors: State of the art and new perspectives. Best Pract Res Clin Endocrinol Metab 2024; 38:101894. [PMID: 38614953 DOI: 10.1016/j.beem.2024.101894] [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: 04/15/2024]
Abstract
Somatotroph (GH) adenomas/PitNETs typically arise from adenohypophysis and are biochemically active, leading to acromegaly and gigantism. More rarely, they present with ectopic origin and do not present overt biochemical or clinical features (silent variants). Histopathological examination should consider the clinical and radiological background, and include multiple steps assessing tumor morphology, pituitary transcription factors (PTFs), hormone secretion, proliferation markers, granulation, and somatostatin receptors (STRs), aimed at depicting as better as possible tumor origin (in case of non-functioning and/or metastatic tumor), and clinical behavior, including response to treatment. GH-secreting tumors are part of the Pit-1 family tumors and can secrete GH only (pure somatotrophs) or co-secrete prolactin (mixed tumors; in this case, various histological subtypes have been identified). Each subtype presents unique radiological, biochemical, and clinical characteristic. Therefore, the integration of biochemical, clinical, radiological, and histopathological elements is fundamental for proper diagnosis and management of pituitary adenomas/PitNETs, to be performed in referral Centers. In more recent times, the importance of genetic and epigenetic evaluation in the characterization of pituitary tumors (i.e., early identification of aggressive variants) has been outlined by some large studies, with the intention of improving targeted treatments.
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Affiliation(s)
- Federica Guaraldi
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
| | - Francesca Ambrosi
- Pathology Unit, Maggiore Hospital-AUSL Bologna, Bologna, Italy; Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.
| | - Costantino Ricci
- Pathology Unit, Maggiore Hospital-AUSL Bologna, Bologna, Italy; Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.
| | - Luisa Di Sciascio
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
| | - Sofia Asioli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy; Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
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9
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Araujo-Castro M, Biagetti B, Menéndez Torre E, Novoa-Testa I, Cordido F, Pascual Corrales E, Rodríguez Berrocal V, Guerrero-Pérez F, Vicente A, Percovich JC, García Centeno R, González L, Ollero García MD, Irigaray Echarri A, Moure Rodríguez MD, Novo-Rodríguez C, Calatayud M, Villar R, Bernabéu I, Alvarez-Escola C, Benítez Valderrama P, Tenorio-Jimenéz C, Abellán Galiana P, Venegas Moreno E, González Molero I, Iglesias P, Blanco C, Vidal-Ostos De Lara F, de Miguel P, López Mezquita E, Hanzu F, Aldecoa I, Lamas C, Aznar S, Aulinas A, Calabrese A, Gracia P, Recio-Córdova JM, Aviles M, Asensio-Wandosel D, Sampedro M, Ruz-Caracuel I, Camara R, Paja M, Fajardo-Montañana C, Marazuela M, Puig-Domingo M. Differences between GH and PRL co-secreting and GH-secreting pituitary adenomas. A series of 604 cases. J Clin Endocrinol Metab 2024:dgae126. [PMID: 38436926 DOI: 10.1210/clinem/dgae126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 02/27/2024] [Accepted: 02/29/2024] [Indexed: 03/05/2024]
Abstract
PURPOSE To evaluate differences in clinical presentation and in surgical outcomes between growth hormone-secreting pituitary adenomas (GH-PAs) and GH and prolactin co-secreting pituitary adenomas (GH&PRL-PAs). METHODS Multicenter retrospective study of 604 patients with acromegaly submitted to pituitary surgery. Patients were classified into two groups according to serum PRL levels at diagnosis and immunohistochemistry (IHC) for PRL: a) GH&PRL-PAs when PRL levels were above the upper limit of normal and IHC for GH and PRL was positive or PRL levels were >100ng/and PRL IHC was not available (n=130) and b) GH-PAs who did not meet the previously mentioned criteria (n=474). RESULTS GH&PRL-PAs represented 21.5% (n=130) of patients with acromegaly. The mean age at diagnosis was lower in GH&PRL-PAs than in GH-PAs (P<0.001). GH&PRL-PAs were more frequently macroadenomas (90.6% vs. 77.4%, P=0.001) and tended to be more invasive (33.6% vs. 24.7%, P=0.057) than GH-PAs. Furthermore, they had presurgical hypopituitarism more frequently (OR 2.8, 95% CI 1.83-4.38). IGF-1 upper limit of normality (ULN) levels at diagnosis were lower in patients with GH&PRL-PAs (median 2.4 [IQR 1.73-3.29] vs. 2.7 [IQR 1.91-3.67], P=0.023). There were no differences in the immediate (41.1% vs 43.3%, P=0.659) or long-term post-surgical acromegaly biochemical cure rate (53.5% vs. 53.1%, P=0.936) between groups. However, there was a higher incidence of permanent arginine-vasopressin deficiency (AVP-D) (7.3% vs. 2.4%, P=0.011) in GH&PRL-PAs patients. CONCLUSIONS GH&PRL-PAs are responsible for 20% of acromegaly cases. These tumors are more invasive, larger and cause hypopituitarism more frequently than GH-PAs and are diagnosed at an earlier age. The biochemical cure rate is similar between both groups, but patients with GH&PRL-PAs tend to develop permanent postsurgical AVP-D more frequently.
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Affiliation(s)
- Marta Araujo-Castro
- Endocrinology & Nutrition Department. Hospital Universitario Ramón y Cajal. Madrid, Spain & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS)
| | - Betina Biagetti
- Endocrinology & Nutrition Department. Hospital Universitario Vall de Hebrón. Barcelona, Spain
| | - Edelmiro Menéndez Torre
- Endocrinology & Nutrition Department. Hospital Universitario Central de Asturias. Asturias, Spain & Instituto de Investigación Sanitaria del Principado de Asturias (ISPA)
| | - Iría Novoa-Testa
- Endocrinology & Nutrition Department. Hospital Universitario de Coruña. Coruña, Spain
| | - Fernando Cordido
- Endocrinology & Nutrition Department. Hospital Universitario de Coruña. Coruña, Spain
| | - Eider Pascual Corrales
- Endocrinology & Nutrition Department. Hospital Universitario Ramón y Cajal. Madrid, Spain & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS)
| | | | - Fernando Guerrero-Pérez
- Endocrinology & Nutrition Department. Hospital Universitario de Bellvitge. Cataluña L'Hospitalet de Llobregat, Spain
| | - Almudena Vicente
- Endocrinology & Nutrition Department. Hospital Universitario de Toledo. Toledo, Spain
| | - Juan Carlos Percovich
- Endocrinology & Nutrition Department. Hospital Universitario Gregorio Marañón. Madrid. Spain
| | - Rogelio García Centeno
- Endocrinology & Nutrition Department. Hospital Universitario Gregorio Marañón. Madrid. Spain
| | - Laura González
- Endocrinology & Nutrition Department. Hospital Universitario Gregorio Marañón. Madrid. Spain
| | | | - Ana Irigaray Echarri
- Endocrinology & Nutrition Department. Hospital Universitario Navarra. Pamplona, Spain
| | | | - Cristina Novo-Rodríguez
- Endocrinology & Nutrition Department. Hospital Universitario Virgen de las Nieves. Granada, Spain
| | - María Calatayud
- Endocrinology & Nutrition Department. Hospital Universitario Doce de Octubre. Madrid, Spain
| | - Rocío Villar
- Endocrinology & Nutrition Department. Hospital Universitario de Santiago de Compostela. Madrid, Spain
| | - Ignacio Bernabéu
- Endocrinology & Nutrition Department. Hospital Universitario de Santiago de Compostela. Madrid, Spain
| | | | | | - Carmen Tenorio-Jimenéz
- Endocrinology & Nutrition Department. Hospital Universitario Virgen de las Nieves. Granada, Spain
| | - Pablo Abellán Galiana
- Endocrinology & Nutrition Department. Hospital Universitario de Castellón. Valencia, Spain
| | - Eva Venegas Moreno
- Endocrinology & Nutrition Department. Hospital Universitario Virgen del Rocío. Sevilla, Spain
| | | | - Pedro Iglesias
- Endocrinology & Nutrition Department. Hospital Universitario Puerta de Hierro. Madrid, Spain
| | - Concepción Blanco
- Endocrinology & Nutrition Department. Hospital Universitario Príncipe de Asturias. Madrid, Spain
| | | | - Paz de Miguel
- Endocrinology & Nutrition Department. Hospital Clínico San Carlos. Madrid, Spain
| | - Elena López Mezquita
- Endocrinology & Nutrition Department. Hospital Universitario Clínico San Cecilio. Granada, Spain
| | - Felicia Hanzu
- Endocrinology & Nutrition Department. Hospital Clinic de Barcelona. Barcelona, Spain
| | - Iban Aldecoa
- Pathology Department, Biomedical Diagnostic Center, Hospital Clinic - University of Barcelona, Barcelona. Neurological Tissue Bank of the Biobank, FCRB-IDIBAPS-Hospital Clinic Barcelona, Barcelona
| | - Cristina Lamas
- Endocrinology & Nutrition Department. Hospital Universitario De Albacete, Albacete, Spain
| | - Silvia Aznar
- Endocrinology & Nutrition Department. Hospital Universitario De Albacete, Albacete, Spain
| | - Anna Aulinas
- Endocrinology & Nutrition Department. Hospital de la Santa Creu i Sant Pau, IR-SANT PAU, CIBERER U747 (ISCIII), Barcelona, Spain
| | - Anna Calabrese
- Internal Medicine Department. Hospital San Luigi Gonzaga, Turín, Italia and IR-SANTPAU, Barcelona, Spain
| | - Paola Gracia
- Endocrinology & Nutrition Department. Hospital Royo Villanova. Zaragoza. Spain
| | | | - Mariola Aviles
- Endocrinology & Nutrition Department. Hospital Universitario Clínico San Cecilio. Granada, Spain
| | - Diego Asensio-Wandosel
- Endocrinology & Nutrition Department. Hospital Universitario Germans Trias i Pujol. Cataluña, Spain
| | - Miguel Sampedro
- Endocrinology & Nutrition Department. Hospital Universitario La Princesa Madrid, Spain
| | - Ignacio Ruz-Caracuel
- Anatomopathological Department. Hospital Universitario Ramón y Cajal. Madrid, Spain & Instituto de Investigación Biomédica Ramón y Cajal (IRYCIS)
| | - Rosa Camara
- Endocrinology & Nutrition Department. Hospital La Fe. Valencia, Spain
| | - Miguel Paja
- Endocrinology & Nutrition Department. OSI Bilbao-Basurto. Hospital Universitario de Basurto. Bilbao, Spain & University of the Basque Country UPV/EHU
| | | | - Mónica Marazuela
- Endocrinology & Nutrition Department. Hospital Universitario La Princesa Madrid, Spain
| | - Manel Puig-Domingo
- Endocrinology & Nutrition Department. Hospital Universitario Germans Trias i Pujol. Cataluña, Spain
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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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11
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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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12
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Kasuki L, Lamback E, Antunes X, Gadelha MR. Biomarkers of response to treatment in acromegaly. Expert Rev Endocrinol Metab 2024; 19:71-80. [PMID: 38078447 DOI: 10.1080/17446651.2023.2293107] [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: 09/29/2023] [Accepted: 12/06/2023] [Indexed: 01/03/2024]
Abstract
INTRODUCTION Medical treatment of acromegaly is based in a `trial and error` approach. First-generation somatostatin receptor ligands (fg-SRL) are prescribed as first-line medical therapy to the vast majority of patients, despite lack of disease control in approximately 60% of patients. However, other drugs used in acromegaly treatment are available (cabergoline, pasireotide and pegvisomant). AREAS COVERED In this article, we review and discuss the biomarkers of response to medical treatment in acromegaly. EXPERT OPINION Biomarkers for fg-SRL that can already be applied in clinical practice are: gender, age, pretreatment GH and IGF-I levels, cytokeratin granulation pattern, and the expression of somatostatin receptor type 2. Using biomarkers of response could guide treatment towards precision medicine with greater efficacy and lower costs.
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Affiliation(s)
- Leandro Kasuki
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro, Brazil
| | - Elisa Lamback
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
| | - Ximene Antunes
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Mônica R Gadelha
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil
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13
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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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14
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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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15
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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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Pronin VS, Antsiferov MB, Alekseeva TM, Pronin EV, Lapshina AM, Urusova LS. [Unification of pathomorphological examination of patients with neuroendocrine tumors of the pituitary gland. Controversial issues of the new classification]. PROBLEMY ENDOKRINOLOGII 2023; 70:31-45. [PMID: 39069771 DOI: 10.14341/probl13376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/05/2023] [Accepted: 11/14/2023] [Indexed: 07/30/2024]
Abstract
The progressive improvement of the classification using modern analytical methods is an essential tool for the development of precise and personalized approaches to the treatment of pituitary adenomas. In recent years, endocrinologists have witnessed evolutionary changes that have occurred in the histopathological identification of pituitary neoplasms, revealing new possibilities for studying tumorigenesis and predicting biological behavior.The paper considers the historical aspects of the gradual improvement of the classification of pituitary adenomas, as well as the new international 2022 WHO classification, according to which pituitary adenomas are included in the list of neuroendocrine tumors (PitNETs) to reflect the biological aggressiveness of some non-metastatic pituitary adenomas. The characteristics of pituitary adenoma are presented, as well as a list of histological subtypes of aggressive neuroendocrine tumors of the pituitary gland, marked by the main potentials for invasive growth, an increased risk of recurrence and a negative clinical prognosis.The expediency of changing the definition of «pituitary adenoma» to «neuroendocrine tumor» is discussed. It is emphasized that the introduction of a unified clinical, laboratory and morphological protocol into national clinical practice will help provide comparable comparative studies on the prognosis of the disease and the effectiveness of secondary therapy and also contribute to adequate management of potentially aggressive PitNETs.
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Affiliation(s)
- V S Pronin
- Russian Medical Academy of Continuous Professional Education; Endocrinological Dispensary of the Department of Health of the City of Moscow
| | - M B Antsiferov
- Russian Medical Academy of Continuous Professional Education; Endocrinological Dispensary of the Department of Health of the City of Moscow
| | - T M Alekseeva
- Endocrinological Dispensary of the Department of Health of the City of Moscow
| | - E V Pronin
- Endocrinological Dispensary of the Department of Health of the City of Moscow
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17
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Takebe N, Hojo M, Takada S, Sugita Y, Tanigaki K, Tanji M, Miyamoto S. Contribution of PROP1 in the pathogenesis of Cushing’s disease: A preliminary study. INTERDISCIPLINARY NEUROSURGERY 2023. [DOI: 10.1016/j.inat.2022.101691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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18
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Wang X, Dai Y, Lin H, Cheng J, Zhang Y, Cao M, Zhou Y. Shape and texture analyses based on conventional MRI for the preoperative prediction of the aggressiveness of pituitary adenomas. Eur Radiol 2023; 33:3312-3321. [PMID: 36738323 DOI: 10.1007/s00330-023-09412-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 12/21/2022] [Accepted: 12/29/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVES Pituitary adenomas can exhibit aggressive behavior, characterized by rapid growth, resistance to conventional treatment, and early recurrence. This study aims to evaluate the clinical value of shape-related features combined with textural features based on conventional MRI in evaluating the aggressiveness of pituitary adenomas and develop the best diagnostic model. METHODS Two hundred forty-six pituitary adenoma patients (84 aggressive, 162 non-aggressive) who underwent preoperative MRI were retrospectively reviewed. The patients were divided into training (n = 193) and testing (n = 53) sets. Clinical information, shape-related, and textural features extracted from the tumor volume on contrast-enhanced T1-weighted images (CE-T1WI), were compared between aggressive and non-aggressive groups. Variables with significant differences were enrolled into Pearson's correlation analysis to weaken multicollinearity. Logistic regression models based on the selected features were constructed to predict tumor aggressiveness under fivefold cross-validation. RESULTS Sixty-five imaging features, including five shape-related and sixty textural features, were extracted from volumetric CE-T1WI. Forty-seven features were significantly different between aggressive and non-aggressive groups (all p values < 0.05). After feature selection, four features (SHAPE_Sphericity, SHAPE_Compacity, DISCRETIZED_Q3, and DISCRETIZED_Kurtosis) were put into logistic regression analysis. Based on the combination of these features and Knosp grade, the model yielded an area under the curve value of 0.935, with a sensitivity of 94.4% and a specificity of 82.9%, to discriminate between aggressive and non-aggressive pituitary adenomas in the testing set. CONCLUSION The radiomic model based on tumor shape and textural features study from CE-T1WI might potentially assist in the preoperative aggressiveness diagnosis of pituitary adenomas. KEY POINTS • Pituitary adenomas with aggressive behavior exhibit rapid growth, resistance to conventional treatment, and early recurrence despite gross resection and may require multiline treatments. • Shape-related features and texture features based on CE-T1WI were significantly correlated with the Ki-67 labeling index, mitotic count, and p53 expression, and the proposed model achieved a favorable prediction of the aggressiveness of PAs with an AUC value of 0.935. • The prediction model might provide valuable guidance for individualized treatment in patients with PAs.
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Affiliation(s)
- Xiaoqing Wang
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yongming Dai
- Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - Hai Lin
- Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - Jiahui Cheng
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yiming Zhang
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Mengqiu Cao
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Yan Zhou
- Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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19
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Henriques DG, Miranda RL, Dezonne RS, Wildemberg LE, Camacho AHDS, Chimelli L, Kasuki L, Lamback EB, Guterres A, Gadelha MR. miR-383-5p, miR-181a-5p, and miR-181b-5p as Predictors of Response to First-Generation Somatostatin Receptor Ligands in Acromegaly. Int J Mol Sci 2023; 24:ijms24032875. [PMID: 36769196 PMCID: PMC9918086 DOI: 10.3390/ijms24032875] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/19/2023] [Accepted: 01/24/2023] [Indexed: 02/05/2023] Open
Abstract
Acromegaly is a chronic systemic disease caused in the vast majority of cases by growth hormone (GH)-secreting adenoma, with surgery being the first-line treatment. When a cure is not attained with surgery, first-generation somatostatin receptor ligands (fg-SRLs) are the most common medication prescribed. Predictors of response to fg-SRLs have been studied; however, they cannot fully predict the response to fg-SRL. MicroRNAs are small RNAs, the main role of which is messenger RNA (mRNA) post-transcriptional regulation. This study aimed to identify the microRNAs involved in resistance to treatment with fg-SRLs in acromegaly. Ten patients with acromegaly undergoing treatment with fg-SRLs were selected to undergo miRNA sequencing: five controlled and five uncontrolled with treatment. Bioinformatic analysis was performed to detect differentially expressed miRNAs. Then, the same 10 samples were used for validation by qPCR and an additional 22 samples were analyzed, totaling 32 samples. e We found 59 differentially expressed miRNAs in the first analysis. miR-181a-5p and miR-181b-5p were downregulated, and miR-383-5p was upregulated in the uncontrolled group. Receiver operating characteristic (ROC) curve analysis of miR-383-5p showed an NPV of 84.3% and a PPV of 84.5%. In summary, miR-181a-5p, miR-181b-5p, and miR-383-5p are biomarkers of response to fg-SRLs, and they can be used individually or included in prediction models as tools to guide clinical decisions.
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Affiliation(s)
- Daniel G. Henriques
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
| | - Renan Lyra Miranda
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Rômulo Sperduto Dezonne
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, 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 21941-617, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Aline Helen da Silva Camacho
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Leila Chimelli
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, 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 21941-617, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro 21041-020, Brazil
| | - Elisa B. Lamback
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - Alexandro Guterres
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
| | - 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 21941-617, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Neuroendocrinology Division, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro 20231-092, Brazil
- Correspondence:
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20
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An Overview of Pituitary Neuroendocrine Tumors (PitNET) and Algorithmic Approach to Diagnosis. Adv Anat Pathol 2023; 30:79-83. [PMID: 36069849 DOI: 10.1097/pap.0000000000000367] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The diagnostic algorithm and nomenclature of pituitary neuroendocrine tumors have evolved over the past decade, beginning with simpler categorical schemes focused on histomorphologic features and moving to a more sophisticated lineage-specific categorization. This contemporary overview highlights a multimodal approach to pituitary neuroendocrine tumors with a focus on changes in nomenclature, classification, and subclassification; including, brief comments on treatment, and new guidelines for genetic screening, particularly for young patients with such neoplasms.
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21
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Abstract
Acromegaly is a systemic disease associated with increased morbidity and mortality that can be prevented with adequate disease control. Three modalities of treatment (surgery, medical treatment, and radiotherapy) are available; however, a significant proportion of patients still maintain disease activity despite treatment. Therefore, there is a need for innovations in the treatment of acromegaly that include changes in the current trial and error approach and the development of new drugs. In this review, we summarize the recent innovations in the treatment of acromegaly and address the future perspectives in this field.
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Affiliation(s)
- Leandro Kasuki
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, Brazil; Neuroendocrinology Division, Instituto Estadual Do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil; Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro, Brazil
| | - Mônica R Gadelha
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, Brazil; Neuroendocrinology Division, Instituto Estadual Do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil; Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, Brazil.
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22
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Faria O, Miranda RL, de Azeredo Lima CH, Guterres A, Ventura N, Barbosa MA, da Silva Camacho AH, Lamback EB, Andreiuolo F, Chimelli L, Kasuki L, Gadelha MR. Characterization of sporadic somatotropinomas with high GIP receptor expression. Pituitary 2022; 25:903-910. [PMID: 36066838 DOI: 10.1007/s11102-022-01272-6] [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] [Accepted: 08/08/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE To analyze the expression of glucose-dependent insulinotropic polypeptide receptor (GIPR) in somatotropinomas specimens and compare clinical, biochemical, radiological, therapeutic, molecular, and pathological data among those who overexpressed (GIPR +) and those who did not overexpress (GIPR - ) GIPR. METHODS Clinical, biochemical, radiological, molecular, and pathological data were collected. GNAS1 sequencing was performed with the Sanger method. Protein expression of somatostatin receptor subtypes 2 and 5 and CAM 5.2 were analyzed by immunohistochemistry. Quantitative real-time PCR was performed to analyze the mRNA expression of GIPR with the TaqMan® method. Positive expression was considered when the fold change (FC) was above 17.2 (GIPR +). RESULTS A total of 74 patients (54% female) were included. Eighteen tumors (24%) were GIPR + . Gsp mutation was detected in 30 tumors (40%). GIPR + tumors were more frequently densely granulated adenomas (83% vs 47%, p = 0.028). There was no difference in clinical, biochemical, radiological, therapeutic (surgical cure or response to medical therapy), or other pathological features between GIPR + and GIPR - tumors. Twenty-eight out of 56 (50%) GIPR - tumors harbored a gsp mutation, whereas two out of 18 (11%) GIPR + tumors harbored a gsp mutation (p = 0.005). CONCLUSION We described, for the first time, that GIPR + and gsp mutations are not mutually exclusive, but gsp mutations are less common in GIPR + tumors. GIPR + and GIPR - tumors have similar clinical, biochemical, radiological, therapeutic, and pathological features, with the exception of a high frequency of densely granulated adenomas among GIPR + tumors.
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Affiliation(s)
- Olivia Faria
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal Do Rio de Janeiro, Rua Professor Rodolpho Paulo Rocco, 255, 9° andar, Setor 9F, Rio de Janeiro, 21941-913, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Renan Lyra Miranda
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Carlos Henrique de Azeredo Lima
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Alexandro Guterres
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Nina Ventura
- Radiology Division, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Radiology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal Do Rio de Janeiro, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Monique Alvares Barbosa
- Radiology Division, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Aline Helen da Silva Camacho
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Elisa Baranski Lamback
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal Do Rio de Janeiro, Rua Professor Rodolpho Paulo Rocco, 255, 9° andar, Setor 9F, Rio de Janeiro, 21941-913, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
- Neuroendocrinology Division, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
| | - Felipe Andreiuolo
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Leila Chimelli
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
| | - Leandro Kasuki
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal Do Rio de Janeiro, Rua Professor Rodolpho Paulo Rocco, 255, 9° andar, Setor 9F, Rio de Janeiro, 21941-913, Brazil
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil
- Neuroendocrinology Division, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil
- Endocrinology Division, Hospital Federal de Bonsucesso, Rio de Janeiro, Brazil
| | - Mônica R Gadelha
- Neuroendocrinology Research Center/Endocrinology Division, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal Do Rio de Janeiro, Rua Professor Rodolpho Paulo Rocco, 255, 9° andar, Setor 9F, Rio de Janeiro, 21941-913, Brazil.
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil.
- Neuroradiology Department, Samaritano Hospital, São Paulo, Brazil.
- Neuroradiology Department, Grupo fleury, São Paulo, Brazil.
- Neuroendocrinology Division, Instituto Estadual Do Cérebro Paulo Niemeyer, Rio de Janeiro, Brazil.
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23
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Ilie MD, Tabarin A, Vasiljevic A, Bonneville JF, Moreau-Grangé L, Schillo F, Delemer B, Barlier A, Figarella-Branger D, Bisot-Locard S, Santos A, Chanson P, Raverot G. Predictive Factors of Somatostatin Receptor Ligand Response in Acromegaly-A Prospective Study. J Clin Endocrinol Metab 2022; 107:2982-2991. [PMID: 36136828 DOI: 10.1210/clinem/dgac512] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Somatostatin receptor ligands (SRLs) are the cornerstone medical treatments for acromegaly; however, many patients remain unresponsive to SRLs. Well-established predictive markers of response are needed. OBJECTIVE We aimed to explore the relationship between responsiveness to SRLs relative to somatostatin (SST)2A and 5 receptor expression, adenoma granularity, and T2-weighted magnetic resonance imaging (MRI) signal intensity (T2WSI). METHODS We conducted a multicentric, prospective, observational cohort study, in France. Forty-nine naïve patients (ie, patients without preoperative SRL treatment) with active acromegaly following surgery were treated with octreotide (group 1; n = 47), or pasireotide if uncontrolled under first-generation SRLs (group 2; n = 9). Data were collected at baseline and months 3 and 6. Biochemical measurements, immunohistochemistry studies, and MRI readings were centralized. RESULTS In group 1, IGF-I decrease from baseline to month 6 positively correlated with SST2A immunoreactive score (IRS), P = 0.01. Densely granulated/intermediate adenomas had a greater IGF-I and GH decrease under octreotide compared with sparsely granulated adenomas (P = 0.02 and P = 0.006, respectively), and expressed greater levels of SST2A (P < 0.001), coupled with lower levels of SST5 (P = 0.004). T2WSI changed between preoperative MRI and month 6 MRI in one-half of the patients. Finally, SST5 IRS was higher in preoperative hyperintense compared with preoperative hypointense adenomas (P = 0.04), and most sparsely granulated and most hyperintense adenomas expressed high SST5 levels. CONCLUSION We prospectively confirm that SST2A and adenoma granularity are good predictors of response to octreotide. We propose the IRS for scoring system harmonization. MRI sequences must be optimized to be able to use the T2WSI as a predictor of treatment response.
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Affiliation(s)
- Mirela-Diana Ilie
- Inserm U1052, CNRS UMR5286, Claude Bernard Lyon 1 University, Cancer Research Center of Lyon, Lyon 69001, France
- Endocrinology Department, "C.I. Parhon" National Institute of Endocrinology, Bucharest 011863, Romania
| | - Antoine Tabarin
- Department of Endocrinology, Diabetes and Nutrition, Bordeaux University Hospital, Pessac 33600, France
| | - Alexandre Vasiljevic
- Inserm U1052, CNRS UMR5286, Claude Bernard Lyon 1 University, Cancer Research Center of Lyon, Lyon 69001, France
- Pathology Department, "Groupement Hospitalier Est" Hospices Civils de Lyon, Bron 69500, France
| | - Jean-François Bonneville
- Departments of Medical Imaging and Endocrinology, Liège University Hospital, Liège 4000, Belgium
| | - Lucile Moreau-Grangé
- Department of Endocrinology, Diabetes and Metabolic Disorders, Rouen University Hospital, Rouen 76000, France
| | - Franck Schillo
- Department of Diabetes, Endocrinology and Nutrition, Besançon University Hospital, Besançon 25030, France
| | - Brigitte Delemer
- Department of Endocrinology, Diabetes and Nutrition, Reims University Hospital, Reims 51092, France
| | - Anne Barlier
- Laboratory of Molecular Biology, Conception University Hospital, AP-HM, Marseille 13005, France
- Aix-Marseille University, Inserm, MMG, Marseille 13011, France
| | | | | | | | - Philippe Chanson
- Department of Endocrinology and Reproduction Disorders, Bicêtre Hospital, AP-HP, Le Kremlin-Bicêtre 94270, France
- Paris-Saclay University, Inserm, "Physiologie et Physiopathologie Endocriniennes", Le Kremlin-Bicêtre 91190, France
| | - Gérald Raverot
- Inserm U1052, CNRS UMR5286, Claude Bernard Lyon 1 University, Cancer Research Center of Lyon, Lyon 69001, France
- Endocrinology Department, "Groupement Hospitalier Est" Hospices Civils de Lyon, Bron 69500, France
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24
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Rass L, Rahvar AH, Matschke J, Saeger W, Renné T, Aberle J, Flitsch J, Rotermund R. Differences in somatostatin receptor subtype expression in patients with acromegaly: new directions for targeted therapy? Hormones (Athens) 2022; 21:79-89. [PMID: 34674191 PMCID: PMC8818633 DOI: 10.1007/s42000-021-00327-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 10/04/2021] [Indexed: 11/02/2022]
Abstract
PURPOSE To analyze the expression of somatostatin receptor (SSTR)2a and 5 by immunohistochemistry (IHC) in surgically resected somatotrophic pituitary adenomas and to associate expression rates with tumor size and clinical, biochemical, and histological parameters and response to somatostatin analog (SA) therapy. METHODS Forty-three microsurgically treated patients with histopathologically proven growth hormone (GH)-producing pituitary adenoma were included (WHO 2017). SSTR subtype expression was analyzed in adenoma tissues using monoclonal antibodies (Abcam, SSTR2a-UMB1, SSTR5-UMB4). Expression rates were classified as low (≤ 20% staining positivity), moderate (21-50%), and high (> 50%). Furthermore, biochemical parameters such as human growth hormone (hGH) and insulin-like growth factor-1 (IGF-1) levels were measured and clinical, biochemical, radiological, and histological data were evaluated. RESULTS Of the 43 patients included in this study, 28 were female and 15 were male. The median age was 52 years (range 17-72 years). The median tumor size was 1.2 cm (range: 0.13-3.93 cm). All resected tumors showed positivity for somatotrophic hormone (STH). In all tissue samples, SSTR2a signal expression was detectable in immunohistochemistry, while only 39 samples were positive for SSTR5. Thirty-six samples had a high expression of SSTR2a, while three had a moderate and four a low SSTR2a signal. In comparison, SSTR5 signal was high in 26 out of 43 samples, while seven adenomas showed a moderate and six cases a low expression rate of SSTR5. The median IGF-1 was 714.2 µg/l and the median GH 19.6 mU/l (= 6.53 µg/l). The present study indicates that there is no significant relationship between the expression rates of receptor subtypes and the parameters we analyzed. However, our study revealed that smaller adenomas have a lower baseline GH level (p = 0.015), CONCLUSION: IHC with monoclonal antibodies appears to be a suitable method to determine the expression rates of SSTR2a and 5 at protein levels, as it is not possible to draw conclusions regarding receptor subtypes solely on the basis of the parameters analyzed.
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Affiliation(s)
- Lena Rass
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Amir-Hossein Rahvar
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jakob Matschke
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Wolfgang Saeger
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas Renné
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Aberle
- III. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jörg Flitsch
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Roman Rotermund
- Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
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25
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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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Abstract
This review summarizes the changes in the 5th Edition of the WHO Classification of Endocrine and Neuroendocrine Tumors that relate to the pituitary gland. The new classification clearly distinguishes anterior lobe (adenohypophyseal) from posterior lobe (neurohypophyseal) and hypothalamic tumors. Other tumors arising in the sellar region are also discussed. Anterior lobe tumors include (i) well-differentiated adenohypophyseal tumors that are now classified as pituitary neuroendocrine tumors (PitNETs; formerly known as pituitary adenomas), (ii) pituitary blastoma, and (iii) the two types of craniopharyngioma. The new WHO classification provides detailed histological subtyping of a PitNET based on the tumor cell lineage, cell type, and related characteristics. The routine use of immunohistochemistry for pituitary transcription factors (PIT1, TPIT, SF1, GATA3, and ERα) is endorsed in this classification. The major PIT1, TPIT, and SF1 lineage-defined PitNET types and subtypes feature distinct morphologic, molecular, and clinical differences. The "null cell" tumor, which is a diagnosis of exclusion, is reserved for PitNETs with no evidence of adenohypophyseal lineage differentiation. Unlike the 2017 WHO classification, mammosomatotroph and acidophil stem cell tumors represent distinct PIT1-lineage PitNETs. The diagnostic category of PIT1-positive plurihormonal tumor that was introduced in the 2017 WHO classification is replaced by two clinicopathologically distinct PitNETs: the immature PIT1-lineage tumor (formerly known as silent subtype 3 tumor) and the mature plurihormonal PIT1-lineage tumor. Rare unusual plurihormonal tumors feature multi-lineage differentiation. The importance of recognizing multiple synchronous PitNETs is emphasized to avoid misclassification. The term "metastatic PitNET" is advocated to replace the previous terminology "pituitary carcinoma" in order to avoid confusion with neuroendocrine carcinoma (a poorly differentiated epithelial neuroendocrine neoplasm). Subtypes of PitNETs that are associated with a high risk of adverse biology are emphasized within their cell lineage and cell type as well as based on clinical variables. Posterior lobe tumors, the family of pituicyte tumors, include the traditional pituicytoma, the oncocytic form (spindle cell oncocytoma), the granular cell form (granular cell tumor), and the ependymal type (sellar ependymoma). Although these historical terms are entrenched in the literature, they are nonspecific and confusing, such that oncocytic pituicytoma, granular cell pituicytoma, and ependymal pituicytoma are now proposed as more accurate. Tumors with hypothalamic neuronal differentiation are classified as gangliocytomas or neurocytomas based on large and small cell size, respectively. This classification sets the standard for a high degree of sophistication to allow individualized patient management approaches.
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Affiliation(s)
- Sylvia L Asa
- Department of Pathology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH, USA.
| | - Ozgur Mete
- Department of Pathology, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Arie Perry
- Departments of Pathology and Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Robert Y Osamura
- Department of Pathology, Nippon Koukan Hospital, Kawasaki and Keio University School of Medicine, Tokyo, Japan
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Lewis D, Roncaroli F, Kearney T, Coope DJ, Gnanalingham K. Quantitative Magnetic Resonance-Derived Biomarkers as Predictors of Function and Histotype in Adenohypophyseal Tumours. Neuroendocrinology 2022; 112:276-286. [PMID: 33902055 DOI: 10.1159/000516823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 03/31/2021] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Magnetic resonance imaging (MRI) is the main modality to diagnose adenohypophyseal tumours, while biochemical assessment of pituitary hormones allows for their functional classification. In this retrospective exploratory cohort study, we investigated if quantitative differences in tumour MR signal intensity (SI) could be utilized to predict the function and histotype. METHODS Clinically acquired pretreatment MRI images were retrospectively analysed in 67 clinically non-functioning gonadotropinomas (NFG), 38 somatotropinomas, and 16 medically treated giant macroprolactinomas. Mean T1- and T2-weighted SI values were determined for each tumour and normalized against either centrum semiovale white matter or CSF to derive relative T1W and T2W SI values and the relative tumour T2/T1 SI ratio. Inter-group differences in quantitative MR parameters were compared, and the power of each parameter to discriminate tumour type and subtype was assessed using the area under the receiver operator characteristic curve (AUROC). In resected somatotropinomas, the relationship between tumour granulation status, relative MR SI values, and biochemical data was also compared. RESULTS Compared to somatotropinomas, NFG and macroprolactinomas displayed higher relative T2W SI (p < 0.001) and higher relative tumour T2/T1 SI ratio values (p < 0.001, ANOVA). Compared to intermediate/densely granulated tumours, sparsely granulated somatotropinomas were larger (p = 0.006, Mann-Whitney U test), had higher relative T2W SI (p ≤ 0.005), and higher relative tumour T2/T1 SI ratios (p ≤ 0.001, 2-tailed t test). Relative tumour T2W SI values and relative tumour T2/T1 ratio values demonstrated good discriminatory power in differentiating NFG from somatotropinoma (AUROC = 0.87-0.94) and predicting somatotropinoma subtypes (AUROC = 0.87-0.95). CONCLUSION Quantitative SI-based MR parameters derived using clinical acquisition MRI protocols may help non-invasively discriminate the functional status of adenohypophyseal tumours and the histological subtype of somatotropinomas.
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Affiliation(s)
- Daniel Lewis
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Division of Informatics, Imaging and Data Sciences, Wolfson Molecular Imaging Centre (WMIC), University of Manchester, Manchester, United Kingdom
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom
| | - Federico Roncaroli
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
- Department of Endocrinology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Tara Kearney
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
- Department of Endocrinology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - David John Coope
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
- Department of Endocrinology, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Kanna Gnanalingham
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
- Geoffrey Jefferson Brain Research Centre, University of Manchester, Manchester, United Kingdom
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Kontogeorgos G, Markussis V, Thodou E, Kyrodimou E, Choreftaki T, Nomikos P, Lampropoulos KI, Tsagarakis S. Association of Pathology Markers with Somatostatin Analogue Responsiveness in Acromegaly. Int J Endocrinol 2022; 2022:8660470. [PMID: 36199813 PMCID: PMC9529452 DOI: 10.1155/2022/8660470] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/25/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Somatotroph adenomas (SAs) exhibit a variable responsiveness to somatostatin analogue (SS-a) treatment, a process that is not well understood. We investigated established and novel histological markers as predictors of SS-a responsiveness. METHODS We retrospectively investigated pathology samples from 36 acromegalic patients that underwent transsphenoidal surgery. Clinical, hormonal, and imaging data were available in 24/36 patients, before and after SS-a treatment. Specimens were semiquantitatively analyzed with immunocytochemistry for Ki-67, KER, SSTR-2, SSTR-5, ZAC-1, E-cadherin, and AIP. RESULTS Collectively, 18 (50%) adenomas were each classified as densely/sparsely granulated somatotroph adenomas (DGSAs/SGSAs), respectively. Patients that received preoperative SS-a had lower expression of SSTR-2 compared to those that did not (2.0 (1.0, 3.0) vs. 3.0 (3.0, 3.0), p = 0.042). Compared with DGSAs, SGSAs had higher Ki-67 labeling index (LI) (1.0 (0.5, 1.0) vs. 2.0 (1.0, 3.5), p = 0.013), and a higher proportion of high MR T2 signal (1 (6%) vs. 6 (33%), p = 0.035), and tended to express less ZAC-1 (p = 0.061) and E-cadherin (p = 0.067). In linear regression corrected for baseline growth hormone (GH), ZAC-1 immunostaining was significantly associated with a decrease in GH levels after SS-a treatment (beta (95% confidence interval): -1.53 (-2.80, -0.26), p = 0.021). No markers were associated with changes in circulating insulin-like growth factor-I (IGF-I) after treatment with SS-a. CONCLUSION The novel marker ZAC-1 was associated with GH response to medical treatment with SS-a. The SGSA cases were characterized by higher Ki-67 values and MR T2 signals indicative of an inferior response to SS-a. These findings improve our understanding of the mechanisms underlying SA response to medical treatment.
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Affiliation(s)
- George Kontogeorgos
- First Propaedeutic Department of Internal Medicine, Division of Endocrinology, 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
| | - Efi Kyrodimou
- Department of Pathology and Pituitary Tumor Reference Center, “G. Gennimatas” General Hospital of Athens, Athens, Greece
| | - Theodossia Choreftaki
- Department of Pathology and Pituitary Tumor Reference Center, “G. Gennimatas” General Hospital of Athens, Athens, Greece
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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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Predicting Subtype of Growth Hormone Pituitary Adenoma based on Magnetic Resonance Imaging Characteristics. J Comput Assist Tomogr 2021; 46:124-130. [PMID: 35099144 PMCID: PMC8763249 DOI: 10.1097/rct.0000000000001249] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Supplemental digital content is available in the text. This study aimed to investigate the value of magnetic resonance (MR) characteristics in differentiating the subtypes of growth hormone pituitary adenomas.
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Tang Y, Xie T, Wu S, Yang Q, Liu T, Li C, Liu S, Shao Z, Zhang X. Quantitative proteomics revealed the molecular characteristics of distinct types of granulated somatotroph adenomas. Endocrine 2021; 74:375-386. [PMID: 34043183 DOI: 10.1007/s12020-021-02767-1] [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: 12/24/2020] [Accepted: 05/15/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Somatotroph adenomas are obviously heterogeneous in clinical characteristics, imaging performance, pathological diagnosis and therapeutic effect. The heterogeneity of the tumors, especially for SG and DG type adenomas, have attracted great interest in identifying the specific pathological markers and therapeutic targets of them. However, previous analyses of the molecular characteristics of the subtypes of somatotroph adenomas were performed at genomic and transcriptome level. The proteomic differences between the two subtypes of somatotroph adenomas are still unknown. METHODS Tumor samples were surgically removed from 10 sporadic pituitary somatotroph adenoma patients and grouped according to the pathological type. Tandem mass tag (TMT)-based quantitative proteomic analysis was employed to analyze the proteomic differences between SG and DG tumors. RESULTS In total, 228 differentially expressed proteins were identified between SG adenomas and DG adenomas. They were enriched mainly in extracellular matrix (ECM)-receptor interaction, leukocyte transendothelial migration, arrhythmogenic right ventricular cardiomyopathy and DNA replication pathways. Protein-protein interaction (PPI) network analysis indicated that Cadherin-1 and Catenin beta-1 were the most important key proteins in the differences between SG and DG adenomas. Immunohistochemistry (IHC) confirmed the expression levels of the key proteins. CONCLUSIONS This study provides large-scale proteome molecular characteristics of distinct granulation subtypes of somatotroph adenomas. Compared with DG adenomas, The differential protein of SG adenomas mostly enrich in invasive and proliferative functions and pathways at the proteomic level. Cadherin-1 and Catenin beta-1 play key roles in the different biological characteristics of the two tumor subtypes.
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Affiliation(s)
- Yifan Tang
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Tao Xie
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Silin Wu
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiaoqiao Yang
- Institute of Neuroscience, State Key Laboratory of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
| | - Tengfei Liu
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chen Li
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shuang Liu
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhiyong Shao
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Xiaobiao Zhang
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
- Digital Medical Research Center, Fudan University, Shanghai, China.
- Shanghai Key Laboratory of Medical Image Computing and Computer-Assisted Intervention, Shanghai, China.
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Ng S, Messerer M, Engelhardt J, Bruneau M, Cornelius JF, Cavallo LM, Cossu G, Froelich S, Meling TR, Paraskevopoulos D, Schroeder HWS, Tatagiba M, Zazpe I, Berhouma M, Daniel RT, Laws ER, Knosp E, Buchfelder M, Dufour H, Gaillard S, Jacquesson T, Jouanneau E. Aggressive pituitary neuroendocrine tumors: current practices, controversies, and perspectives, on behalf of the EANS skull base section. Acta Neurochir (Wien) 2021; 163:3131-3142. [PMID: 34365544 DOI: 10.1007/s00701-021-04953-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Accepted: 07/25/2021] [Indexed: 12/14/2022]
Abstract
Aggressive pituitary neuroendocrine tumors (APT) account for 10% of pituitary tumors. Their management is a rapidly evolving field of clinical research and has led pituitary teams to shift toward a neuro-oncological-like approach. The new terminology "Pituitary neuroendocrine tumors" (PitNet) that was recently proposed to replace "pituitary adenomas" reflects this change of paradigm. In this narrative review, we aim to provide a state of the art of actual knowledge, controversies, and recommendations in the management of APT. We propose an overview of current prognostic markers, including the recent five-tiered clinicopathological classification. We further establish and discuss the following recommendations from a neurosurgical perspective: (i) surgery and multi-staged surgeries (without or with parasellar resection in symptomatic patients) should be discussed at each stage of the disease, because it may potentialize adjuvant medical therapies; (ii) temozolomide is effective in most patients, although 30% of patients are non-responders and the optimal timeline to initiate and interrupt this treatment remains questionable; (iii) some patients with selected clinicopathological profiles may benefit from an earlier local radiotherapy and/or chemotherapy; (iv) novel therapies such as VEGF-targeted therapies and anti-CTLA-4/anti-PD1 immunotherapies are promising and should be discussed as 2nd or 3rd line of treatment. Finally, whether neurosurgeons have to operate on "pituitary adenomas" or "PitNets," their role and expertise remain crucial at each stage of the disease, prompting our community to deal with evolving concepts and therapeutic resources.
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Wildemberg LE, Henriques D, Elias PCL, Lima CHDA, Musolino NRDC, Camacho AHS, Faria O, Nazato D, Abucham J, Vilar L, Mota JI, Huayllas MKP, Chimelli L, de Castro M, Kasuki L, Gadelha MR. gsp Mutation Is Not a Molecular Biomarker of Long-Term Response to First-Generation Somatostatin Receptor Ligands in Acromegaly. Cancers (Basel) 2021; 13:cancers13194857. [PMID: 34638340 PMCID: PMC8508484 DOI: 10.3390/cancers13194857] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 08/05/2021] [Accepted: 09/23/2021] [Indexed: 12/01/2022] Open
Abstract
Simple Summary Acromegaly treatment consists of surgical, medical, and radiation therapy. First-generation somatostatin receptor ligands are the mainstay of medical therapy, with approximately 40% disease control rate. Several parameters have been evaluated as predictors of response to these drugs, including mutations in the stimulatory G-protein α subunit (gsp mutation), which is still controversial. In this study, we aimed to evaluate in a large series of patients whether gsp mutation predicts long-term response to medical treatment and to characterize the gsp mutated population. The ability to predict response to medical therapy would help to choose a therapy that presents higher odds of controlling the disease, which ultimately would reduce treatment costs and disease morbi-mortality. Abstract Background: It is still controversial if activating mutations in the stimulatory G-protein α subunit (gsp mutation) are a biomarker of response to first generation somatostatin receptor ligands (fg-SRL) treatment in acromegaly. Thus, we aimed to evaluate whether gsp mutation predicts long-term response to fg-SRL treatment and to characterize the phenotype of patients harboring gsp mutations. Methods: GNAS1 sequencing was performed by Sanger. SST2 and SST5 were analyzed by immunohistochemistry (IHC) and real-time RT-PCR. The cytokeratin granulation pattern was evaluated by IHC. Biochemical control was defined as GH < 1.0 ng/mL and normal age-adjusted IGF-I levels. Results: gsp mutation was found in 54 out of 136 patients evaluated. Biochemical control with fg-SRL treatment was similar in gsp+ and gsp- patients (37% vs. 25%, p = 0.219). Tumors harboring gsp mutation were smaller (p = 0.035) and had a lower chance of invading cavernous sinuses (p = 0.001). SST5 protein (p = 0.047) and mRNA (p = 0.013) expression levels were higher in wild-type tumors. Conclusions: In this largest series available in the literature, we concluded that gsp is not a molecular biomarker of response to fg-SRL treatment in acromegaly. However, the importance of its negative association with cavernous sinus invasion and SST5 expression needs to be further investigated.
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Affiliation(s)
- 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 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil
| | - Daniel Henriques
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
| | - Paula C. L. Elias
- Division of Endocrinology, Department of Internal Medicine, Ribeirao Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14049-900, Brazil; (P.C.L.E.); (M.d.C.)
| | - Carlos Henrique de A. Lima
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil; (C.H.d.A.L.); (A.H.S.C.); (L.C.)
| | - Nina R. de Castro Musolino
- Neuroendocrine Unit, Division of Functional Neurosurgery, Hospital das Clínicas da Universidade de São Paulo, São Paulo 05403-000, Brazil;
| | - Aline Helen Silva Camacho
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil; (C.H.d.A.L.); (A.H.S.C.); (L.C.)
| | - Olivia Faria
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
| | - Debora Nazato
- Neuroendocrine Unit, Division of Endocrinology and Metabolism, Escola Paulista de Medicina, Universidade Federal de São Paulo (Unifesp), São Paulo 04023-062, Brazil; (D.N.); (J.A.)
| | - Julio Abucham
- Neuroendocrine Unit, Division of Endocrinology and Metabolism, Escola Paulista de Medicina, Universidade Federal de São Paulo (Unifesp), São Paulo 04023-062, Brazil; (D.N.); (J.A.)
| | - Lucio Vilar
- Division of Endocrinology, Hospital das Clínicas da Universidade Federal de Pernambuco, Recife 50670-901, Brazil;
| | - Jose Italo Mota
- Endocrinology and Metabolism Unit, Hospital Geral de Fortaleza, Secretaria Estadual de Saúde, Fortaleza 60150-160, Brazil;
| | | | - Leila Chimelli
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil; (C.H.d.A.L.); (A.H.S.C.); (L.C.)
| | - Margaret de Castro
- Division of Endocrinology, Department of Internal Medicine, Ribeirao Preto Medical School, Universidade de São Paulo, Ribeirão Preto 14049-900, Brazil; (P.C.L.E.); (M.d.C.)
| | - 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 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
- Neuroendocrine Unit, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro 20231-092, Brazil
| | - Mônica 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 21941-617, Brazil; (L.E.W.); (D.H.); (O.F.); (L.K.)
- 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; (C.H.d.A.L.); (A.H.S.C.); (L.C.)
- Correspondence: ; Tel./Fax: +55-21-3938-2111
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Dehghani M, Davoodi Z, Bidari F, Moghaddam AM, Khalili D, Bahrami-Motlagh H, Jamali E, Alamdari S, Hosseinpanah F, Hedayati M, Valizadeh M. Association of different pathologic subtypes of growth hormone producing pituitary adenoma and remission in acromegaly patients: a retrospective cohort study. BMC Endocr Disord 2021; 21:186. [PMID: 34530798 PMCID: PMC8447747 DOI: 10.1186/s12902-021-00850-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/28/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Regarding the inconclusive results of previous investigations, this study aimed to determine the association between pathology, as a possible predictor, with remission outcomes, to know the role of pathology in the personalized decision making in acromegaly patients. METHODS A retrospective cohort study was performed on the consecutive surgeries for growth hormone (GH) producing pituitary adenomas from February 2015 to January 2021. Seventy-one patients were assessed for granulation patterns and prolactin co-expression as dual staining adenomas. The role of pathology and some other predictors on surgical remission was evaluated using logistic regression models. RESULTS Among 71 included patients, 34 (47.9%) patients had densely granulated (DG), 14 (19.7%) had sparsely granulated (SG), 23 (32.4%) had dual staining pituitary adenomas. The remission rate was about 62.5% in the patients with SG and DG adenomas named single staining and 52.2% in dual staining groups. Postoperative remission was 1.53-folds higher in the single staining adenomas than dual staining-one (non-significant). The remission rate was doubled in DG group compared to two other groups (non-significant). By adjusting different predictors, cavernous sinus invasion and one-day postoperative GH levels decreased remission rate by 91% (95% CI: 0.01-0.67; p = 0.015) and 64% (95% CI: 0.19-0.69; p < 0.001), respectively. Responses to the medications were not significantly different among three groups. CONCLUSION Various pathological subtypes of pituitary adenomas do not appear to have a predictive role in estimating remission outcomes. Cavernous sinus invasion followed by one-day postoperative GH is the strongest parameter to predict biochemical remission.
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Affiliation(s)
- Maryam Dehghani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Davoodi
- Department of Endocrinology, Skull Base Research Center, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Farahnaz Bidari
- Department of Pathology, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amin Momeni Moghaddam
- Department of Radiology, Taleghani Hospital, Shahid beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hooman Bahrami-Motlagh
- Department of Radiology, Loghman-Hakim Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elena Jamali
- Department of Pathology, Loghman-Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shahram Alamdari
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Hedayati
- Cellular & Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Valizadeh
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Heng L, Liu X, Jia D, Guo W, Zhang S, Gao G, Gong L, Qu Y. Preoperative prediction of granulation pattern subtypes in GH-secreting pituitary adenomas. Clin Endocrinol (Oxf) 2021; 95:134-142. [PMID: 33738801 DOI: 10.1111/cen.14465] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 03/07/2021] [Accepted: 03/14/2021] [Indexed: 12/27/2022]
Abstract
OBJECTIVE The aim of this study was to establish a preoperative prediction method for sparsely granulated (SG) growth hormone (GH)-secreting pituitary adenoma, an aggressive tumour subtype with high recurrence risk, in acromegaly patients. METHODS Eighty-three patients with GH-secreting pituitary adenomas were included in this study. GH measurements, cytokeratin immunostaining and electron microscopy were performed to detect granulation patterns. Preoperative factors, including general, radiological and endocrinological features and acute octreotide suppression test outcomes, were compared between SG and densely granulated (DG) groups. The predictive capabilities of these features were analysed using a receiver operating characteristic (ROC) curve, and the most predictive features were combined to establish a grading scale. RESULTS Thirty-nine of the 83 patients had SG GH-secreting pituitary adenomas; 44 had DG tumours. SG tumours tended to occur in younger patients and have larger diameters and volumes, higher Knosp grades, lower GH indexes and normalized insulin-like growth factor-1 (IGF-1) level, and a lower ∆GH% after octreotide treatment. The tumour size, Knosp grade, GH index and ∆GH% after octreotide treatment had good predictive performance, with area under the curve (AUC) values ranging from 0.70 to 0.80. Combining four parameters, including diameter, Knosp grade, GH index and ∆GH% after octreotide treatment, we established a grading scale for predicting SG GH-secreting pituitary adenomas with an AUC of 0.84 and relatively high sensitivity and specificity. CONCLUSIONS We propose a predictive method for distinguishing SG and DG GH-secreting pituitary adenomas preoperatively. This method will help physicians identify candidates for presurgical medical treatment and neurosurgeons determine radical surgical strategies for high-risk tumours.
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Affiliation(s)
- Lijun Heng
- Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Xiaoyan Liu
- Department of Pathology, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Dong Jia
- Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Wei Guo
- Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Shuo Zhang
- Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Guodong Gao
- Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Li Gong
- Department of Pathology, Tangdu Hospital, Air Force Medical University, Xi'an, China
| | - Yan Qu
- Department of Neurosurgery, Tangdu Hospital, Air Force Medical University, Xi'an, China
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36
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Wildemberg LE, da Silva Camacho AH, Miranda RL, Elias PCL, de Castro Musolino NR, Nazato D, Jallad R, Huayllas MKP, Mota JIS, Almeida T, Portes E, Ribeiro-Oliveira A, Vilar L, Boguszewski CL, Winter Tavares AB, Nunes-Nogueira VS, Mazzuco TL, Rech CGSL, Marques NV, Chimelli L, Czepielewski M, Bronstein MD, Abucham J, de Castro M, Kasuki L, Gadelha M. Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands. J Clin Endocrinol Metab 2021; 106:2047-2056. [PMID: 33686418 DOI: 10.1210/clinem/dgab125] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Indexed: 01/12/2023]
Abstract
CONTEXT Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly. OBJECTIVE To develop a prediction model of therapeutic response of acromegaly to fg-SRL. METHODS Patients with acromegaly not cured by primary surgical treatment and who had adjuvant therapy with fg-SRL for at least 6 months after surgery were included. Patients were considered controlled if they presented growth hormone (GH) <1.0 ng/mL and normal age-adjusted insulin-like growth factor (IGF)-I levels. Six AI models were evaluated: logistic regression, k-nearest neighbor classifier, support vector machine, gradient-boosted classifier, random forest, and multilayer perceptron. The features included in the analysis were age at diagnosis, sex, GH, and IGF-I levels at diagnosis and at pretreatment, somatostatin receptor subtype 2 and 5 (SST2 and SST5) protein expression and cytokeratin granulation pattern (GP). RESULTS A total of 153 patients were analyzed. Controlled patients were older (P = .002), had lower GH at diagnosis (P = .01), had lower pretreatment GH and IGF-I (P < .001), and more frequently harbored tumors that were densely granulated (P = .014) or highly expressed SST2 (P < .001). The model that performed best was the support vector machine with the features SST2, SST5, GP, sex, age, and pretreatment GH and IGF-I levels. It had an accuracy of 86.3%, positive predictive value of 83.3% and negative predictive value of 87.5%. CONCLUSION We developed a ML-based prediction model with high accuracy that has the potential to improve medical management of acromegaly, optimize biochemical control, decrease long-term morbidities and mortality, and reduce health services costs.
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Affiliation(s)
- 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, RJ, Brazil
- Neuroendocrine Unit-Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde , Rio de Janeiro, RJ, Brazil
| | - Aline Helen da Silva Camacho
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, RJ, Brazil
| | - Renan Lyra Miranda
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, RJ, Brazil
| | - Paula C L Elias
- Division of Endocrinology-Department of Internal Medicine, Ribeirao Preto Medical School-University of Sao Paulo, São Paulo, SP, Brazil
| | - Nina R de Castro Musolino
- Neuroendocrine Unit, Division of Functional Neurosurgery, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil
| | - Debora Nazato
- Neuroendocrine Unit-Division of Endocrinology and Metabolism-Escola Paulista de Medicina-Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil
| | - Raquel Jallad
- Neuroendocrine Unit, Division of Endocrinology and Metabolism, Hospital das Clínicas, University of São Paulo Medical School, São Paulo, SP, Brazil
- Cellular and Molecular Endocrinology Laboratory/LIM25, Discipline of Endocrinology, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of Sao Paulo, São Paulo, SP, Brazil
| | - Martha K P Huayllas
- Neuroendocrinology and Neurosurgery unit Hospital Brigadeiro, São Paulo, SP, Brazil
| | - Jose Italo S Mota
- Endocrinology and Metabolism Unit, Hospital Geral de Fortaleza, Secretaria Estadual de Saúde, Fortaleza, CE, Brazil
| | - Tobias Almeida
- Division of Endocrinology, Hospital de Clinicas de Porto Alegre (UFRGS), Porto Alegre, RS, Brazil
| | - Evandro Portes
- Institute of Medical Assistance to the State Public Hospital, São Paulo, SP, Brazil
| | | | - Lucio Vilar
- Neuroendocrine Unit, Division of Endocrinology and Metabolism, Hospital das Clínicas, Federal University of Pernambuco Medical School, Recife, PE, Brazil
| | - Cesar Luiz Boguszewski
- Endocrine Division (SEMPR), Department of Internal Medicine, Universidade Federal do Parana, Curitiba, PR, Brazil
| | - Ana Beatriz Winter Tavares
- Endocrine Unit-Department of Internal Medicine, Faculty of Medical Sciences, Universidade do Estado do Rio de Janeiro, RJ, Brazil
| | - Vania S Nunes-Nogueira
- Department of Internal Medicine, São Paulo State University/UNESP, Medical School, Botucatu, SP, Brazil
| | - Tânia Longo Mazzuco
- Division of Endocrinology of Medical Clinical Department, Universidade Estadual de Londrina (UEL), Londrina, PR, Brazil
| | | | - Nelma Veronica Marques
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho-Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Leila Chimelli
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, RJ, Brazil
| | - Mauro Czepielewski
- Division of Endocrinology, Hospital de Clinicas de Porto Alegre (UFRGS), Porto Alegre, RS, Brazil
| | - Marcello D Bronstein
- Neuroendocrine Unit, Division of Endocrinology and Metabolism, Hospital das Clínicas, University of São Paulo Medical School, São Paulo, SP, Brazil
- Cellular and Molecular Endocrinology Laboratory/LIM25, Discipline of Endocrinology, Hospital das Clinicas HCFMUSP, Faculty of Medicine, University of Sao Paulo, São Paulo, SP, Brazil
| | - Julio Abucham
- Neuroendocrine Unit-Division of Endocrinology and Metabolism-Escola Paulista de Medicina-Universidade Federal de São Paulo (Unifesp), São Paulo, SP, Brazil
| | - Margaret de Castro
- Division of Endocrinology-Department of Internal Medicine, Ribeirao Preto Medical School-University of Sao Paulo, São Paulo, SP, 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, RJ, Brazil
- Neuroendocrine Unit-Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde , Rio de Janeiro, RJ, Brazil
| | - Mônica Gadelha
- Endocrine Unit and Neuroendocrinology Research Center, Medical School and Hospital Universitário Clementino Fraga Filho-Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
- Neuroendocrine Unit-Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde , Rio de Janeiro, RJ, Brazil
- Neuropathology and Molecular Genetics Laboratory, Instituto Estadual do Cérebro Paulo Niemeyer, Secretaria Estadual de Saúde, Rio de Janeiro, RJ, Brazil
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Kontogeorgos G. Update on pituitary adenomas in the 2017 World Health Organization classification: innovations and perspectives. Hormones (Athens) 2021; 20:287-291. [PMID: 33453046 DOI: 10.1007/s42000-020-00269-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 12/22/2020] [Indexed: 02/07/2023]
Abstract
The World Health Organization (WHO) classifications of tumors offer invaluable support in the diagnosis of tumors, with every new edition including novel information and diagnostic updates. The new 2017 WHO Classification of Tumors of Endocrine Organs, 4th edition, includes innovations in both terminology and diagnostic guidelines for pituitary adenomas, along with new entities, molecular information, and novel treatment modalities. The recommended reporting system of pituitary adenomas is based on morphology and assessment of the hormonal content by immunohistochemistry. Electron microscopy and immunohistochemistry for Ki-67 and p53 and transcription factors, while presenting additional information, are not recommended for routine diagnosis. Other markers may also yield information of prognostic and predictive significance. In sum, the 2017 WHO classification provides pathologists and clinicians with new and comprehensive information of great use for the diagnosis and treatment of pituitary tumors.
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Affiliation(s)
- George Kontogeorgos
- Endocrine Unit, First Propaedeutic Department of Internal Medicine, Laikon Hospital, National and Kapodistrian University of Athens, Athens, Greece.
- Department of Pathology, G. Gennimatas, Athens General Hospital, 154 Messogion Ave., BLDG#1, 115 27, Athens, Greece.
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38
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Asa SL, Ezzat S. An Update on Pituitary Neuroendocrine Tumors Leading to Acromegaly and Gigantism. J Clin Med 2021; 10:jcm10112254. [PMID: 34067494 PMCID: PMC8196981 DOI: 10.3390/jcm10112254] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 05/18/2021] [Accepted: 05/20/2021] [Indexed: 02/06/2023] Open
Abstract
An excess of growth hormone (GH) results in accelerated growth and in childhood, the clinical manifestation is gigantism. When GH excess has its onset after epiphyseal fusion at puberty, the overgrowth of soft tissue and bone results in acromegaly. Persistent GH excess in gigantism also causes acromegalic features that become evident in the adult years. The causes of GH excess are primarily lesions in the pituitary, which is the main source of GH. In this review, we provide an update on the clinical, radiological and pathologic features of the various types of pituitary neuroendocrine tumors (PitNETs) that produce GH. These tumors are all derived from PIT1-lineage cells. Those composed of somatotrophs may be densely granulated, resembling normal somatotrophs, or sparsely granulated with unusual fibrous bodies. Those composed of mammosomatotrophs also produce prolactin; rare plurihormonal tumors composed of cells that resemble mammosomatotrophs also produce TSH. Some PitNETs are composed of immature PIT1-lineage cells that do not resemble differentiated somatotrophs, mammosomatotrophs, lactotroph or thyrotrophs; these tumors may cause GH excess. An unusual oncocytic PIT1-lineage tumor known as the acidophil stem cell tumor is predominantly a lactotroph tumor but may express GH. Immature PIT1-lineage cells that express variable amounts of hormones alone or in combination can sometimes cause GH excess. Unusual tumors that do not follow normal lineage differentiation may also secrete GH. Exceptional examples of acromegaly/gigantism are caused by sellar tumors composed of hypothalamic GHRH-producing neurons, alone or associated with a sparsely granulated somatotroph tumor. Each of these various tumors has distinct clinical, biochemical and radiological features. Data from careful studies based on morphologic subtyping indicate that morphologic classification has both prognostic and predictive value.
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Affiliation(s)
- Sylvia L. Asa
- Department of Pathology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH 44106, USA
- Correspondence:
| | - Shereen Ezzat
- Department of Medicine, University Health Network, University of Toronto, Toronto, ON M5G 2C4, Canada;
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Soukup J, Cesak T, Hornychova H, Manethova M, Michnova L, Netuka D, Vitovcova B, Cap J, Ryska A, Gabalec F. Cytokeratin 8/18-negative somatotroph pituitary neuroendocrine tumours (PitNETs, adenomas) show variable morphological features and do not represent a clinicopathologically distinct entity. Histopathology 2021; 79:406-415. [PMID: 33738859 DOI: 10.1111/his.14366] [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: 02/08/2021] [Revised: 03/02/2021] [Accepted: 03/16/2021] [Indexed: 11/30/2022]
Abstract
AIMS In somatotroph pituitary neuroendocrine tumours (adenomas), a pattern of cytokeratin (CK) 18 expression is used for tumour subclassification, with possible clinical implications. Rare somatotroph tumours do not express CK 18. We aimed to characterise this subset clinically and histologically. METHODS AND RESULTS Clinical and pathological data for the study were derived from a previously published data set of a cohort of 110 patients with acromegaly. Data included serum levels of insulin-like growth factor 1 (IGF1), growth hormone (GH), prolactin and thyroid-stimulating hormone (TSH), tumour diameter, tumour invasion defined by Knosp grade and immunohistochemical data concerning the expression of Ki67, p53, E-cadherin, somatostatin receptor (SSTR)1, SSTR2A, SSTR3, SSTR5 and D2 dopamine receptor. Additional immunohistochemical analysis (AE1/3, CK 8/18, vimentin, neurofilament light chain, internexin-α) was performed. CK 18 was negative in 10 of 110 (9.1%) tumours. One of these tumours was immunoreactive with CK 8/18 antibody, while the remainder expressed only internexin-α intermediate filament in patterns similar to CK 18 (perinuclear fibrous bodies). CK-negative tumours showed no significant differences with respect to biochemical, radiological or pathological features. They showed significantly higher expression of SSTR2A compared to the sparsely granulated subtype and significantly lower expression of E-cadherin compared to the non-sparsely granulated subtypes of tumours. The tumours showed divergent morphology and hormonal expression: two corresponded to densely granulated tumours and three showed co-expression of prolactin and morphology of either mammosomatotroph or somatotroph-lactotroph tumours. Four tumours showed morphology and immunoprofile compatible with plurihormonal Pit1-positive tumours. CONCLUSIONS CK-negative somatotroph tumours do not represent a distinct subtype of somatotroph tumours, and can be further subdivided according to their morphology and immunoprofile.
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Affiliation(s)
- Jiri Soukup
- The Fingerland Department of Pathology, Faculty of Medicine Hradec Kralove, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Tomas Cesak
- Department of Neurosurgery, Faculty of Medicine Hradec Kralove, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Helena Hornychova
- The Fingerland Department of Pathology, Faculty of Medicine Hradec Kralove, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Monika Manethova
- The Fingerland Department of Pathology, Faculty of Medicine Hradec Kralove, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Ludmila Michnova
- Department of Pathology, Military University Hospital Prague, Praha, Czech Republic
| | - David Netuka
- Department of Neurosurgery and Neurooncology, 1st Medical Faculty, Charles University, Military University Hospital Prague, Prague, Czech Republic
| | - Barbora Vitovcova
- Department of Medical Biology and Genetics, Faculty of Medicine Hradec Kralove, Charles University, Hradec Kralove, Czech Republic
| | - Jan Cap
- 4th Department of Internal Medicine, Faculty of Medicine Hradec Kralove, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Ales Ryska
- The Fingerland Department of Pathology, Faculty of Medicine Hradec Kralove, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Filip Gabalec
- 4th Department of Internal Medicine, Faculty of Medicine Hradec Kralove, University Hospital, Charles University, Hradec Kralove, Czech Republic
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Swanson AA, Erickson D, Donegan DM, Jenkins SM, Van Gompel JJ, Atkinson JLD, Erickson BJ, Giannini C. Clinical, biological, radiological, and pathological comparison of sparsely and densely granulated somatotroph adenomas: a single center experience from a cohort of 131 patients with acromegaly. Pituitary 2021; 24:192-206. [PMID: 33074402 DOI: 10.1007/s11102-020-01096-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/13/2020] [Indexed: 01/01/2023]
Abstract
PURPOSE Growth hormone-producing pituitary adenomas are divided into two clinically relevant histologic subtypes, densely (DG-A) and sparsely (SG-A) granulated. Histologic subtype was evaluated in a large cohort of patients with acromegaly, separating DG-A and SG-A, and correlated with clinicopathological characteristics. METHODS Patients with acromegaly undergoing surgery as initial therapy between 1995 and 2015 were identified. Histologic subtype was determined by keratin expression pattern with CAM5.2 and correlated with clinical and imaging parameters, somatostatin receptor subtype 2 (SST2) expression, post-surgical remission rate, and application of a prognostic scoring system incorporating proliferation and invasiveness. RESULTS One hundred thirty-one patients were included. Tumors were classified as DG-A (75, 57.3%), SG-A (29, 22.1%), intermediate (I-A) (9, 6.9%), and unclassified (18, 13.7%) when CAM5.2 was negative. DG-A and I-A were combined for analysis (DG/I-A) and compared to SG-A. Age, gender, proliferation, and post-surgical remission did not differ. SG-A were larger [2 vs. 1.5 cm (median), p = 0.03], more frequently invasive [65.5% vs. 32.9%, p = 0.004], associated with higher MRI T2-weighted signal ratio [1.01 vs. 0.82 (median), p = 0.01], showed lower SST2 expression (p < 0.0001), and scored higher in the prognostic classification (p = 0.004). Surgical remission occurred in 41.7% DG/I-A and 41.4% SG-A (p = 1.0). On multivariate analysis, absence of invasion (p = 0.009) and lower pre-operative IGF-1 index (p = 0.0002) were associated with post-surgical remission. CONCLUSION CAM5.2 allowed distinction between DG/I-A and SG-A in most but not all cases. Histologic subtype did not predict surgical outcome. Absence of invasion and lower pre-operative IGF-1 index were the only significant predictors of post-surgical remission in this cohort.
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Affiliation(s)
- Amy A Swanson
- Division of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA
| | - Dana Erickson
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, USA
| | - Diane Mary Donegan
- Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, MN, USA
- Division of Endocrinology, Diabetes and Metabolism, Indiana University, Indianapolis, IN, USA
| | - Sarah M Jenkins
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Caterina Giannini
- Division of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA.
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
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Abstract
Sellar region lesions include a broad range of benign and malignant neoplastic as well as non-neoplastic entities, many of which are newly described or have recently revised nomenclature. In contrast to other intracranial sites, imaging features are relatively less specific, and the need for histopathological diagnosis is of paramount importance. This review will describe pituitary adenomas, inflammatory lesions, and tumors unique to the region (craniopharyngioma) as well as tumors which may occur in but are not exclusively localized to the sellar location (schwannoma, metastasis, etc.).
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Affiliation(s)
- Katherine E Schwetye
- Department of Pathology, Saint Louis University, 1402 South Grand Boulevard, St Louis, MO 63104, USA
| | - Sonika M Dahiya
- Department of Pathology and Immunology, Washington University in St. Louis, 660 South Euclid Avenue, St Louis, MO 63110, USA.
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Saeger W, Koch A. Clinical Implications of the New WHO Classification 2017 for Pituitary Tumors. Exp Clin Endocrinol Diabetes 2021; 129:146-156. [PMID: 33690870 DOI: 10.1055/a-1310-7900] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
According to the WHO classification 2017 of Pituitary Tumors adenomas are classified not only by structure and immunostaining for pituitary hormones but also by expression of the pituitary transcription factors Pit-1, T-pit and SF-1. By these factors, three cell lineages can be identified: Pit-1 for the GH-, Prolactin- and TSH-cell lineage, T-pit for the ACTH-cell lineage, and SF-1 for the gonadotrophic cell lineage. By this principle, all GH and/or Prolactin producing and all TSH producing adenomas must be positive for Pit-1, all corticotrophic adenomas for T-pit, and all gonadotrophic for SF-1. In adenomas without expression of pituitary hormones immunostainings for the transcription factors have to be examined. If these are also negative the criteria for an endocrine inactive null cell adenoma are fulfilled. If one transcription factor is positive the corresponding cell lineage indicates a potential hormonal activity of the adenoma. So Pit-1 expressing hormone-negative adenomas can account for acromegaly, hyperprolactinemia, or TSH hyperfunction. T-pit positive hormone negative adenomas can induce Cushing's disease, and SF-1 positive hormone negative tumors indicate gonadotrophic adenomas. Instead of the deleted atypical adenoma of the WHO classification of 2004 now (WHO classification 2017) criteria exist for the identification of aggressive adenomas with a conceivably worse prognosis. Some adenoma subtypes are described as aggressive "per se" without necessity of increased morphological signs of proliferation. All other adenoma subtypes must also be designated as aggressive if they show signs of increased proliferation (mitoses, Ki-67 index>3-5%, clinically rapid tumor growth) and invasion. By these criteria about one third of pituitary adenoma belong to the group of aggressive adenomas with potentially worse prognosis. The very rare pituitary carcinoma (0.1 % of pituitary tumors) is defined only by metastases. Many of them develop after several recurrences of Prolactin or ACTH secreting adenomas. The correlation of clinical findings and histological classification of pituitary adenomas is very important since every discrepancy has to be discussed between clinicians and pathologists. Based on data of the German Registry of Pituitary Tumors a table for examinations of correlations is shown in this review.
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Affiliation(s)
- Wolfgang Saeger
- Institute of Pathology and Neuropathology of the University of Hamburg, UKE, Hamburg, Germany
| | - Arend Koch
- Institute of Neuropathology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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Soukup J, Hornychova H, Manethova M, Michalova K, Michnova L, Popovska L, Skarkova V, Cesak T, Netuka D, Ryska A, Cap J, Hána V, Hána V, Kršek M, Dvořáková E, Krčma M, Lazurova I, Olšovská V, Starý K, Vaňuga P, Gabalec F. Predictive and prognostic significance of tumour subtype, SSTR1-5 and e-cadherin expression in a well-defined cohort of patients with acromegaly. J Cell Mol Med 2021; 25:2484-2492. [PMID: 33491286 PMCID: PMC7933931 DOI: 10.1111/jcmm.16173] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/29/2020] [Accepted: 11/21/2020] [Indexed: 12/11/2022] Open
Abstract
In somatotroph pituitary tumours, somatostatin analogue (SSA) therapy outcomes vary throughout the studies. We performed an analysis of cohort of patients with acromegaly from the Czech registry to identify new prognostic and predictive factors. Clinical data of patients were collected, and complex immunohistochemical assessment of tumour samples was performed (SSTR1‐5, dopamine D2 receptor, E‐cadherin, AIP). The study included 110 patients. In 31, SSA treatment outcome was evaluated. Sparsely granulated tumours (SGST) differed from the other subtypes in expression of SSTR2A, SSTR3, SSTR5 and E‐cadherin and occurred more often in young. No other clinical differences were observed. Trouillas grading system showed association with age, tumour size and SSTR2A expression. Factors significantly associated with SSA treatment outcome included age, IGF1 levels, tumour size and expression of E‐cadherin and SSTR2A. In the group of SGST, poor SSA response was observed in younger patients with larger tumours, lower levels of SSTR2A and higher Ki67. We observed no relationship with expression of other proteins including AIP. No predictive value of E‐cadherin was observed when tumour subtype was considered. Multiple additional factors apart from SSTR2A expression can predict treatment outcome in patients with acromegaly.
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Affiliation(s)
- Jiri Soukup
- The Fingerland Department of Pathology, Faculty of Medicine, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Helena Hornychova
- The Fingerland Department of Pathology, Faculty of Medicine, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Monika Manethova
- The Fingerland Department of Pathology, Faculty of Medicine, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Kvetoslava Michalova
- Department of Pathology, Faculty of Medicine, Charles University, Plzen, Czech Republic.,Bioptical Laboratory, Ltd., Plzen, Czech Republic
| | - Ludmila Michnova
- Department of Pathology, Military University Hospital Prague, Prague, Czech Republic
| | - Lenka Popovska
- Department of Pharmacology and Toxicology, Faculty of Pharmacy in Hradec Králové, Charles University, Hradec Kralove, Czech Republic
| | - Veronika Skarkova
- Department of Medical Biology and Genetics, Faculty of Medicine Hradec Kralove, Charles University, Hradec Kralove, Czech Republic
| | - Tomas Cesak
- Department of Neurosurgery, Faculty of Medicine, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - David Netuka
- Department of Neurosurgery and Neurooncology, 1st Medical Faculty, Charles University, Military University Hospital Prague, Prague, Czech Republic
| | - Ales Ryska
- The Fingerland Department of Pathology, Faculty of Medicine, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Jan Cap
- 4th Department of Internal medicine, Faculty of Medicine, University Hospital, Charles University, Hradec Kralove, Czech Republic
| | - Václav Hána
- 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Václav Hána
- 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Michal Kršek
- 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Eva Dvořáková
- 1st Department of Internal Medicine, Faculty of Medicine in Pilsen, University Hospital Pilsen, Charles University, Pilsen, Czech Republic
| | - Michal Krčma
- 1st Department of Internal Medicine, Faculty of Medicine in Pilsen, University Hospital Pilsen, Charles University, Pilsen, Czech Republic
| | - Ivica Lazurova
- 1st Internal Clinic, Louis Pasteur University Hospital, Kosice, Slovakia
| | - Věra Olšovská
- 2nd Department of Internal Medicine, Faculty of Medicine, St. Ann University Hospital Brno, Masaryk University Brno, Brno, Czech Republic
| | - Karel Starý
- Department of Internal Medicine and Gastroenterology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Peter Vaňuga
- National Institute of Endocrinology and Diabetology, Lubochňa, Slovakia
| | - Filip Gabalec
- 4th Department of Internal medicine, Faculty of Medicine, University Hospital, Charles University, Hradec Kralove, Czech Republic
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Shen M, Yang Y, He W, Qiao N, He M, Shou X, Wang M, Ma Z, Ye Z, Zhang Y, Chen Z, Zhang Q, Zhou X, Cao X, Ye H, Wang Y, Li S, Li Y, Zhao Y, Zhang Z. Efficacy and predictors of short-term first-generation somatostatin analog presurgical treatment in acromegaly: A hospital-based study of 237 cases. Growth Horm IGF Res 2020; 55:101354. [PMID: 33011455 DOI: 10.1016/j.ghir.2020.101354] [Citation(s) in RCA: 2] [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: 06/24/2020] [Revised: 09/01/2020] [Accepted: 09/08/2020] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To investigate the effectiveness and predictors of short-term somatostatin analog (SSA) presurgical therapy in a large cohort and to assess the correlation between clinical and pathological variables. DESIGN 237 newly diagnosed patients with acromegaly received presurgical SSA treatment for three months were recruited. Clinical characteristics were collected, and response to SSA in hormone and tumor size was evaluated. The correlation between clinical information and pathological variables were analyzed. RESULTS After 3 months presurgical SSA therapy, 51 (21.5%) patients were biochemically responsive with ≥50% decrease in IGF-1 while 126 (53.2%) patients showed at least 20% tumor size decrease. Biochemical responders were associated with a smaller maximum tumor diameter (MTD) and an older age (OR, 0.448; P = 0.003; OR, 1.050; P = 0.001). Tumor size responders were associated with a smaller MTD (OR, 0.435; P < 0.001). A combination of MTD < 2 cm and age ≥49 years predicted biochemical responders (PPV, 54.5%; NPV, 86.0%; P < 0.001), while MTD ≤2.2 cm (PPV, 67.1%; NPV, 67.0%; P < 0.001) predicted tumor size responders. Compared to patients with MTD < 2 cm, patients with MTD ≥ 2 cm showed higher percentage of sparsely granulated (SG) adenoma (62.1% vs. 31.3%, P = 0.005). In addition, the percentage of SG adenoma tended to be higher in patients < 49 years than ≥49 years (48.1% and 31.0% P = 0.089). CONCLUSIONS The baseline MTD and age correlate with granulation patterns and may be used as easily acquired predictors of presurgical SSA treatment in acromegaly. Patients over their 50s with a tumor less than 2 cm in diameter are more likely to have a response to the short-term presurgical SSA therapy.
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Affiliation(s)
- Ming Shen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Yeping Yang
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Wenqiang He
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Nidan Qiao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Min He
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China
| | - Xuefei Shou
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Meng Wang
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Zengyi Ma
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Zhao Ye
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Yichao Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Zhengyuan Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Qilin Zhang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Xiang Zhou
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Xiaoyun Cao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Hongying Ye
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China
| | - Yongfei Wang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Shiqi Li
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China
| | - Yiming Li
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China.
| | - Yao Zhao
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China; Shanghai Key laboratory of Brain Function and Restoration and Neural Regenaration, Shanghai 200040, China.
| | - Zhaoyun Zhang
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Pituitary Tumor Center, Shanghai 200040, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
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Park YW, Kang Y, Ahn SS, Ku CR, Kim EH, Kim SH, Lee EJ, Kim SH, Lee SK. Radiomics model predicts granulation pattern in growth hormone-secreting pituitary adenomas. Pituitary 2020; 23:691-700. [PMID: 32851505 DOI: 10.1007/s11102-020-01077-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE To investigate whether radiomic features from magnetic resonance image (MRI) can predict the granulation pattern of growth hormone (GH)-secreting pituitary adenoma patients. METHODS Sixty-nine pathologically proven acromegaly patients (densely granulated [DG] = 50, sparsely granulated [SG] = 19) were included. Radiomic features (n = 214) were extracted from contrast-enhancing and total tumor portions from T2-weighted (T2) MRIs. Imaging features were selected using a least absolute shrinkage and selection operator (LASSO) logistic regression model with fivefold cross-validation. Diagnostic performance for predicting granulation pattern was compared with that for qualitative T2 signal intensity assessment and T2 relative signal intensity (rSI) using the area under the receiver operating characteristics curve (AUC). RESULTS Four significant radiomic features from the contrast-enhancing tumor (1 from shape, 1 from first order feature, and 2 from second order features) were selected by LASSO for model construction. The radiomics model showed an AUC, accuracy, sensitivity, and specificity of 0.834 (95% confidence interval [CI] 0.738-0.930), 73.7%, 74.0%, and 73.9%, respectively. The radiomics model showed significantly better performance than the model using qualitative T2 signal intensity assessment (AUC 0.597 [95% CI 0.447-0.747], P = 0.009) and T2 rSI (AUC 0.647 [95% CI 0.523-0.759], P = 0.037). CONCLUSION Radiomic features may be useful biomarkers to differentiate granulation pattern of GH-secreting pituitary adenoma patients, and showed better performance than qualitative assessment or rSI evaluation.
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Affiliation(s)
- Yae Won Park
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
| | - Yunjun Kang
- Integrated Science and Engineering Division, Underwood International College, Yonsei University, Seoul, Korea
| | - Sung Soo Ahn
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
| | - Cheol Ryong Ku
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
- Department of Endocrinology, Yonsei University College of Medicine, Seoul, Korea
| | - Eui Hyun Kim
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea.
- Department of Neurosurgery, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
| | - Se Hoon Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, Korea
| | - Eun Jig Lee
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
- Department of Endocrinology, Yonsei University College of Medicine, Seoul, Korea
| | - Sun Ho Kim
- Department of Neurosurgery, Ewha Womans University College of Medicine, Seoul, Korea
| | - Seung-Koo Lee
- Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
- Pituitary Tumor Center, Severance Hospital, Seoul, Korea
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Varlamov EV, Wood MD, Netto JP, Thiessen J, Kim J, Lim DST, Yedinak CG, Banskota S, Cetas JS, Fleseriu M. Cystic appearance on magnetic resonance imaging in bihormonal growth hormone and prolactin tumors in acromegaly. Pituitary 2020; 23:672-680. [PMID: 32870441 DOI: 10.1007/s11102-020-01075-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
PURPOSE To investigate demographic, imaging and laboratory characteristics, and treatment outcomes of acromegaly patients who have bihormonal (BA) growth hormone (GH) and prolactin (PRL) immunoreactive adenomas compared to patients who have densely granulated GH adenomas (DGA) and sparsely granulated GH adenomas (SGA). METHODS Retrospective review of single-center surgically treated acromegaly patients; pathology was analyzed by a single neuropathologist using 2017 WHO criteria. Preoperative magnetic resonance imaging was assessed to evaluate tumor size, cystic component, invasion and T2 signal intensity. RESULTS Seventy-seven patients; 19 BA (9 mammosomatotroph and 10 mixed GH and PRL adenomas) were compared with 30 DGA, and 28 SGA. Patients with BA were older than SGA (49.6 vs 38.5 years, p = 0.035), had a higher IGF-1 index (3.3 vs 2.3, p = 0.040) and tumors were less frequently invasive (15.8% vs 57.1%, p = 0.005). BA more frequently had a cystic component on MRI than both SGA and DGA (52.6% vs 14.3%, and 22%, p = 0.005 and 0.033, respectively). When all histological types were combined, biochemical remission postoperatively was more common in non-cystic than cystic tumors (50% vs 22.5%, p = 0.042). Somatostatin receptor ligand response rate was 66.7%, 90.9% and 37.5% in BA, DGA and SGA patients, respectively (p = 0.053). CONCLUSION Imaging characteristics are an increasingly important adenoma behavior determinant. An adenoma cystic component may suggest that a GH adenoma is a BA. Cystic tumors exhibited lower rates of surgical remission in this series; therefore, optimized individual patient treatment is needed, as patients could be candidates for primary medical treatment.
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Affiliation(s)
- Elena V Varlamov
- Department of Medicine, Oregon Health & Science University, Portland, OR, USA
- Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, USA
- Pituitary Center, Oregon Health & Science University, Mail Code CH8N, 3303 South Bond Ave, Portland, OR, 97239, USA
| | - Matthew D Wood
- Department of Pathology, Oregon Health & Science University, Portland, OR, USA
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | - Joao Prola Netto
- Department of Radiology, Oregon Health & Science University, Portland, OR, USA
| | - Jaclyn Thiessen
- Department of Radiology, Oregon Health & Science University, Portland, OR, USA
| | - Jung Kim
- Pituitary Center, Oregon Health & Science University, Mail Code CH8N, 3303 South Bond Ave, Portland, OR, 97239, USA
| | - Dawn Shao Ting Lim
- Pituitary Center, Oregon Health & Science University, Mail Code CH8N, 3303 South Bond Ave, Portland, OR, 97239, USA
- Department of Endocrinology, Singapore General Hospital, Singapore, Singapore
| | - Christine G Yedinak
- Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, USA
- Pituitary Center, Oregon Health & Science University, Mail Code CH8N, 3303 South Bond Ave, Portland, OR, 97239, USA
| | - Swechya Banskota
- Pituitary Center, Oregon Health & Science University, Mail Code CH8N, 3303 South Bond Ave, Portland, OR, 97239, USA
| | - Justin S Cetas
- Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, USA
- Pituitary Center, Oregon Health & Science University, Mail Code CH8N, 3303 South Bond Ave, Portland, OR, 97239, USA
| | - Maria Fleseriu
- Department of Medicine, Oregon Health & Science University, Portland, OR, USA.
- Department of Neurological Surgery, Oregon Health & Science University, Portland, OR, USA.
- Pituitary Center, Oregon Health & Science University, Mail Code CH8N, 3303 South Bond Ave, Portland, OR, 97239, USA.
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Abstract
The presence and patterns of keratins are critical in the classification of pituitary neuroendocrine tumors. A large body of literature has included information about the staining patterns of pituitary tumors and tissues with the CAM 5.2 antibody. During an antibody validation for clinical use, we carried out staining of a series of 29 surgically resected pituitary cases containing 31 pituitary neuroendocrine tumors that were tested for CAM 5.2 as well as for cytokeratin (CK) 7, 18, 19, and 20 and the pan-keratin cocktail AE1/AE3. The results showed an almost identical staining pattern for CK18 and CAM 5.2; however, CAM 5.2 yielded more intense staining, whereas CK18 provided more delicate results. Staining results using AE1/AE3 were satisfactory but generally less intense; however, this marker was more specific, identifying keratin expression in one tumor that was negative with CAM 5.2. CK19 is expressed in nontumorous adenohypophysis but was less frequently positive in tumors; somatotroph and corticotroph tumors were negative for CK19, but CK19 antibody highlighted follicular cells in some gonadotroph tumors. CK7 and CK20 were negative in all pituitary tissues tested. Our findings underscore the role for CAM 5.2 and CK18 as the most valuable to identify specific alterations in adenohypophysial cells and their tumors; there is also a role for AE1/AE3 to verify the epithelial nature of pituitary neuroendocrine tumors that are negative for CAM 5.2 and CK18.
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Abstract
Background To examine the clinical and hormonal profiles, comorbidities, treatment patterns, surgical pathology and clinical outcomes of patients diagnosed with acromegaly at the Cleveland Clinic over a 15-year period. Methods A retrospective chart review of patients with acromegaly who underwent surgical resection between 2003 and 2018. Results A total of 136 patients (62 men; mean age 48.1 years) with biochemical evidence of acromegaly were analyzed. Median insulin-like growth factor 1 (IGF-1) level at diagnosis was 769.0 ng/mL and most patients had a macroadenoma (82.2%). Immunoreactivity to growth hormone (GH) was noted in 124 adenomas, with co-staining in 89 adenomas. Complete visible tumor resection during initial surgery was achieved in 87 patients (64.0%). In this cohort, complete response to surgery alone was observed in 61 patients (70.1%), while 31 out of 65 patients (47.7%) who received additional post-surgical medications and/or radiation therapy achieved complete response. At most recent follow-up, 92 patients achieved eventual complete response by documented normalization of IGF-1 levels. Higher IGF-1 level at diagnosis (P = 0.024) and cavernous sinus invasion (P = 0.028) were predictors for failure to respond to surgery. Conclusion In this study, the majority of tumors were macroadenoma, plurihormonal, and treated effectively with surgery alone or surgery with adjuvant medical or radiation therapy. More studies are needed to identify additional molecular biomarkers, tumor characteristics and imaging findings to individualize treatment and better predict treatment outcomes.
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Xie T, Tang Y, Luo R, Zhang X, Wu S, Gu Y, Liu T, Hu F. GPR64 promotes cAMP pathway in tumor aggressiveness in sparsely granulated growth hormone cell adenomas. Endocrine 2020; 68:629-639. [PMID: 32180116 DOI: 10.1007/s12020-020-02263-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 03/04/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE There is an increasing agreement that acromegaly caused by growth hormone (GH) cell adenoma has two distinct subtypes: densely granulated (DG) and sparsely granulated (SG). We hypothesized that differential molecular signatures may explain their behavior. METHODS Total transcriptome sequencing was performed on ten DG and seven SG adenomas. The differentially expressed RNAs were identified by bioinformatic analyses, and a candidate RNA was verified by quantitative real-time PCR. Immunohistochemical staining was also performed to detect the protein expression of the candidate. Clinical parameters were correlated with protein expression. Subsequently, cell proliferation, colony formation, and cell cycle progression were analyzed after knockdown of the candidate in pituitary GH3 cells. Activation of the cAMP pathway was assessed by ELISA and Western blot. RESULTS We confirmed that there were obvious differentially expressed genes between the subtypes. Through gene profiling, we discovered that an orphan adhesion G protein-coupled receptor, GPR64, was overexpressed in more aggressive SG adenomas. Noticeably, GPR64 knockdown significantly inhibited the proliferation of GH3 tumor cells and decreased colony formation. The knockdown also induced cell cycle arrest in GH3 tumor cells. Further studies revealed that GPR64 knockdown decreased cAMP levels and the ratios of p-CREB/CREB, indicating that it suppressed the cAMP/CREB pathway. CONCLUSIONS Our results indicated that GPR64 may promote aggressiveness in SG-type GH cell adenomas and that it is a key factor regulating the cAMP pathway to promote aggressiveness of GH cell adenomas.
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Affiliation(s)
- Tao Xie
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yifan Tang
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Rongkui Luo
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaobiao Zhang
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Digital Medical Research Center, Fudan University, Shanghai, China.
- Shanghai Key Laboratory of Medical Image Computing and Computer-Assisted Intervention, Shanghai, China.
| | - Silin Wu
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ye Gu
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Tengfei Liu
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Fan Hu
- Department of Neurosurgery, Zhongshan Hospital, Fudan University, Shanghai, China
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Galm BP, Buckless C, Swearingen B, Torriani M, Klibanski A, Bredella MA, Tritos NA. MRI texture analysis in acromegaly and its role in predicting response to somatostatin receptor ligands. Pituitary 2020; 23:212-222. [PMID: 31897778 DOI: 10.1007/s11102-019-01023-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
PURPOSE Given the paucity of reliable predictors of tumor recurrence, progression, or response to somatostatin receptor ligand (SRL) therapy in acromegaly, we attempted to determine whether preoperative MR image texture was predictive of these clinical outcomes. We also determined whether image texture could differentiate somatotroph adenomas from non-functioning pituitary adenomas (NFPAs). METHODS We performed a retrospective study of patients with acromegaly due to a macroadenoma who underwent transsphenoidal surgery at our institution between 2007 and 2015. Clinical data were extracted from electronic medical records. MRI texture analysis was performed on preoperative non-enhanced T1-weighted images using ImageJ (NIH). Logistic and Cox models were used to determine if image texture parameters predicted outcomes. RESULTS Eighty-nine patients had texture parameters measured, which were compared to that of NFPAs, while 64 of these patients had follow-up and were included in the remainder of analyses. Minimum pixel intensity, skewness, and kurtosis were significantly different in somatotroph adenomas versus NFPAs (area under the receiver operating characteristic curve, 0.7771, for kurtosis). Furthermore, those with a maximum pixel intensity above the median had an increased odds of IGF-I normalization on SRL therapy (OR 5.96, 95% CI 1.33-26.66), which persisted after adjusting for several potential predictors of response. Image texture did not predict tumor recurrence or progression. CONCLUSION Our data suggest that MRI texture analysis can distinguish NFPAs from somatotroph macroadenomas with good diagnostic accuracy and can predict normalization of IGF-I with SRL therapy.
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Affiliation(s)
- Brandon P Galm
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, 100 Blossom Street, Suite 140, Boston, MA, 02114, USA.
| | - Colleen Buckless
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Brooke Swearingen
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Martin Torriani
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Anne Klibanski
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, 100 Blossom Street, Suite 140, Boston, MA, 02114, USA
| | - Miriam A Bredella
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicholas A Tritos
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, 100 Blossom Street, Suite 140, Boston, MA, 02114, USA
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