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Xu C, Wu J, Ye J, Si Y, Zhang J, Wu B, Pan L, Fu J, Ren Q, Xie S, Tang B, Xiao Y, Hong T. Multiomics integration-based immunological characterizations of adamantinomatous craniopharyngioma in relation to keratinization. Cell Death Dis 2024; 15:439. [PMID: 38906852 PMCID: PMC11192745 DOI: 10.1038/s41419-024-06840-1] [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: 11/09/2023] [Revised: 06/13/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024]
Abstract
Although adamantinomatous craniopharyngioma (ACP) is a tumour with low histological malignancy, there are very few therapeutic options other than surgery. ACP has high histological complexity, and the unique features of the immunological microenvironment within ACP remain elusive. Further elucidation of the tumour microenvironment is particularly important to expand our knowledge of potential therapeutic targets. Here, we performed integrative analysis of 58,081 nuclei through single-nucleus RNA sequencing and spatial transcriptomics on ACP specimens to characterize the features and intercellular network within the microenvironment. The ACP environment is highly immunosuppressive with low levels of T-cell infiltration/cytotoxicity. Moreover, tumour-associated macrophages (TAMs), which originate from distinct sources, highly infiltrate the microenvironment. Using spatial transcriptomic data, we observed one kind of non-microglial derived TAM that highly expressed GPNMB close to the terminally differentiated epithelial cell characterized by RHCG, and this colocalization was verified by asmFISH. We also found the positive correlation of infiltration between these two cell types in datasets with larger cohort. According to intercellular communication analysis, we report a regulatory network that could facilitate the keratinization of RHCG+ epithelial cells, eventually causing tumour progression. Our findings provide a comprehensive analysis of the ACP immune microenvironment and reveal a potential therapeutic strategy base on interfering with these two types of cells.
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Affiliation(s)
- Chunming Xu
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Jie Wu
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Jiye Ye
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Yuancheng Si
- Department of Mathematics, University of Manchester, Manchester, UK
- The School of Economics, Fudan University, Shanghai, China
| | - Jinshi Zhang
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Bowen Wu
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Laisheng Pan
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Jun Fu
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Quan Ren
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Shenhao Xie
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Bin Tang
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Yingqun Xiao
- Department of Pathology, Affiliated Infectious Disease Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Tao Hong
- Jiangxi Key Laboratory of Neurological Diseases, Department of Neurosurgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
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Shoemaker AH, Tamaroff J. Approach to the Patient With Hypothalamic Obesity. J Clin Endocrinol Metab 2023; 108:1236-1242. [PMID: 36413492 PMCID: PMC10306088 DOI: 10.1210/clinem/dgac678] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 11/04/2022] [Accepted: 11/18/2022] [Indexed: 11/23/2022]
Abstract
Hypothalamic obesity (HO) is defined as abnormal weight gain due to physical destruction of the hypothalamus. Suprasellar tumors, most commonly craniopharyngiomas, are a classic cause of HO. HO often goes unnoticed initially as patients, families, and medical teams are focused on oncologic treatments and management of panhypopituitarism. HO is characterized by rapid weight gain in the first year after hypothalamic destruction followed by refractory obesity due to an energy imbalance of decreased energy expenditure without decreased food intake. Currently available pharmacotherapies are less effective in HO than in common obesity. While not a cure, dietary interventions, pharmacotherapy, and bariatric surgery can mitigate the effects of HO. Early recognition of HO is necessary to give an opportunity to intervene before substantial weight gain occurs. Our goal for this article is to review the pathophysiology of HO and to discuss available treatment options and future directions for prevention and treatment.
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Affiliation(s)
- Ashley H Shoemaker
- Pediatric Endocrinology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Jaclyn Tamaroff
- Pediatric Endocrinology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
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Huang Z, Wu J, Qi J, Pan C, Fu J, Hong T. Risk Factors Associated with Postoperative Obesity in Childhood-Onset Craniopharyngioma Patients: A Case-Control Study. World Neurosurg 2022; 167:e1185-e1195. [PMID: 36096392 DOI: 10.1016/j.wneu.2022.09.006] [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: 07/17/2022] [Revised: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Identifying risk factors associated with obesity after craniopharyngioma (CP) resection is pivotal for the prediction and prevention of postoperative obesity. Although multiple elegant studies have investigated this issue, studies focusing on Asian pediatric patients are missing. Herein, we retrospectively analyzed the risk factors associated with obesity after childhood-onset CP surgery in our center, aiming to provide insights into approaches reducing the occurrence of postoperative obesity. METHODS The clinical data of 53 children with CP who met the inclusion criteria from July 2011 to August 2020 in our center were collected for retrospective analysis. Univariate and multivariate logistic retrospective analyses were used to identify independent risk factors contributing to postoperative obesity. A review of the available literature reporting the risk factors associated with obesity after CP surgery over the past two decades was performed for comparison. RESULTS The median age at diagnosis of this cohort was 11.0 years, with a median follow-up of 44.0 months (range = 8-119 months). Eighteen (34.0%) experienced obesity at the last follow-up. Multivariate logistic regression analysis showed preoperative body mass index standard deviation score (odds ratio [OR], 1.71; 95% confidence interval [CI]: 1.01-2.90; P = 0.046), preoperative hypothalamic involvement (OR, 29.38; 95% CI: 1.76-490.66; P = 0.019), and age at diagnosis (OR, 0.76; 95% CI: 0.61-0.95; P = 0.016) were independent risk factors for obesity after childhood-onset CP resection. CONCLUSIONS Our results combined with previous literature support preoperative body mass index standard deviation score, preoperative hypothalamic involvement, and age at diagnosis are the independent risk factors associated with obesity after childhood-onset CP resection.
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Affiliation(s)
- ZhongJian Huang
- Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jie Wu
- Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - JiaLong Qi
- Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - ChengBin Pan
- Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jun Fu
- Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Tao Hong
- Department of Neurosurgery, the First Affiliated Hospital of Nanchang University, Nanchang, China.
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