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Numan T, Breedt LC, Maciel BDAPC, Kulik SD, Derks J, Schoonheim MM, Klein M, de Witt Hamer PC, Miller JJ, Gerstner ER, Stufflebeam SM, Hillebrand A, Stam CJ, Geurts JJG, Reijneveld JC, Douw L. Regional healthy brain activity, glioma occurrence and symptomatology. Brain 2022; 145:3654-3665. [PMID: 36130310 PMCID: PMC9586543 DOI: 10.1093/brain/awac180] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/22/2022] [Accepted: 05/04/2022] [Indexed: 11/24/2022] Open
Abstract
It is unclear why exactly gliomas show preferential occurrence in certain brain areas. Increased spiking activity around gliomas leads to faster tumour growth in animal models, while higher non-invasively measured brain activity is related to shorter survival in patients. However, it is unknown how regional intrinsic brain activity, as measured in healthy controls, relates to glioma occurrence. We first investigated whether gliomas occur more frequently in regions with intrinsically higher brain activity. Second, we explored whether intrinsic cortical activity at individual patients’ tumour locations relates to tumour and patient characteristics. Across three cross-sectional cohorts, 413 patients were included. Individual tumour masks were created. Intrinsic regional brain activity was assessed through resting-state magnetoencephalography acquired in healthy controls and source-localized to 210 cortical brain regions. Brain activity was operationalized as: (i) broadband power; and (ii) offset of the aperiodic component of the power spectrum, which both reflect neuronal spiking of the underlying neuronal population. We additionally assessed (iii) the slope of the aperiodic component of the power spectrum, which is thought to reflect the neuronal excitation/inhibition ratio. First, correlation coefficients were calculated between group-level regional glioma occurrence, as obtained by concatenating tumour masks across patients, and group-averaged regional intrinsic brain activity. Second, intrinsic brain activity at specific tumour locations was calculated by overlaying patients’ individual tumour masks with regional intrinsic brain activity of the controls and was associated with tumour and patient characteristics. As proposed, glioma preferentially occurred in brain regions characterized by higher intrinsic brain activity in controls as reflected by higher offset. Second, intrinsic brain activity at patients’ individual tumour locations differed according to glioma subtype and performance status: the most malignant isocitrate dehydrogenase-wild-type glioblastoma patients had the lowest excitation/inhibition ratio at their individual tumour locations as compared to isocitrate dehydrogenase-mutant, 1p/19q-codeleted glioma patients, while a lower excitation/inhibition ratio related to poorer Karnofsky Performance Status, particularly in codeleted glioma patients. In conclusion, gliomas more frequently occur in cortical brain regions with intrinsically higher activity levels, suggesting that more active regions are more vulnerable to glioma development. Moreover, indices of healthy, intrinsic excitation/inhibition ratio at patients’ individual tumour locations may capture both tumour biology and patients’ performance status. These findings contribute to our understanding of the complex and bidirectional relationship between normal brain functioning and glioma growth, which is at the core of the relatively new field of ‘cancer neuroscience’.
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Affiliation(s)
- Tianne Numan
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Lucas C Breedt
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Bernardo de A P C Maciel
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Shanna D Kulik
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Jolanda Derks
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands
| | - Martin Klein
- Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Department of Medical Psychology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Philip C de Witt Hamer
- Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Department of Neurosurgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Julie J Miller
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Elizabeth R Gerstner
- Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Steven M Stufflebeam
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Cornelis J Stam
- Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands
| | - Jaap C Reijneveld
- Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Department of Neurology, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Department of Neurology, Stichting Epilepsie Instellingen Nederland, Heemstede 2103 SW, The Netherlands
| | - Linda Douw
- Department of Anatomy and Neurosciences, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam 1081 HV, The Netherlands.,Cancer Center Amsterdam, Imaging and Biomarkers, Brain Tumor Center Amsterdam, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Systems and Network Neuroscience, Amsterdam 1081 HV, The Netherlands.,Amsterdam Neuroscience, Brain Imaging, Amsterdam 1081 HV, The Netherlands.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA
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2
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Cui P, Wei F, Hou J, Su Y, Wang J, Wang S. STAT3 inhibition induced temozolomide-resistant glioblastoma apoptosis via triggering mitochondrial STAT3 translocation and respiratory chain dysfunction. Cell Signal 2020; 71:109598. [PMID: 32165236 DOI: 10.1016/j.cellsig.2020.109598] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 02/21/2020] [Accepted: 03/07/2020] [Indexed: 12/17/2022]
Abstract
Recent evidence has demonstrated that the signal transducer and activator of transcription 3 (STAT3) gene are abnormally active in glioblastoma multiforme (GBM), and this change is crucial for the tumor survival and chemotherapy-resistant. Certain preclinical pharmacology studies have focused on STAT3 phosphorylation and homodimerization, and have developed a class of salicylic acid-based inhibitors, which blocks the nuclear translocation-dependent canonical STAT3 signaling. In the present study, we demonstrated that the salicylic acid-based compound SH-4-54 was quite toxic to temozolomide (TMZ)-resistant GBM cells and could trigger apoptosis in these cells via enhancing mitochondrial translocation-dependent non-canonical STAT3 pathway. We demonstrated that incubation of TMZ-resistant GBM cells with SH-4-54 led to mitochondrial STAT3 (mitoSTAT3) activation and respiratory dysfunction reflected by disrupted (or suppressed) activities of oxidative phosphorylation complexes and oxygen consumption rate. Mechanistically, we proved that SH-4-54 could increase mitoSTAT3 transmembrane import via GRIM-19 and reinforce the association between mitoSTAT3 and mitochondrial transcription factor A (TFAM), indicating that SH-4-54 could facilitate the binding of mitoSTAT3 to mitochondria DNA (mtDNA) and negatively regulate mitochondrial-encoded genes, thus leading to the abnormal oxidation respiratory. Lastly, using GRIM-19 knockout cell line and subcutaneous xenotransplanted tumor model, we elaborately showed the enrichment of SH-4-54 in mitochondria by LC-MS/MS analysis. In conclusion, our data demonstrate thatthe salicylic acid-based compound SH-4-54 is quite effective in killing TMZ-resistant GBM cells and this cytotoxicity is attributed to mitoSTAT3 activation.
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Affiliation(s)
- Ping Cui
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Engineering Research Center of Cardiovascular Drugs Screening & Analysis, Xi'an 710061, China
| | - Fen Wei
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Engineering Research Center of Cardiovascular Drugs Screening & Analysis, Xi'an 710061, China
| | - Jingjing Hou
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Engineering Research Center of Cardiovascular Drugs Screening & Analysis, Xi'an 710061, China
| | - Ying Su
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Engineering Research Center of Cardiovascular Drugs Screening & Analysis, Xi'an 710061, China
| | - Jijun Wang
- Department of Neurosurgery, Shaanxi Provincial People's Hospital, Xi'an 710068, China
| | - Sicen Wang
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Engineering Research Center of Cardiovascular Drugs Screening & Analysis, Xi'an 710061, China.
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3
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Tong Y, Ye L, Li S, Zhao F, Ying J, Qu Y, Li J, Mu D. The association of 6 variants of 8q24 and the risk of glioma: A meta-analysis. Medicine (Baltimore) 2019; 98:e16205. [PMID: 31277128 PMCID: PMC6635291 DOI: 10.1097/md.0000000000016205] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
With the advances in sequencing technologies and genome-wide association studies (GWAS), several inherited variants that increase glioma risk have been identified. Ten studies including 8818 cases and 17,551 controls were collected to conduct a meta-analysis to evaluate the associations between 6 variants in 8q24 and glioma risk. Of the 6 variants located in 8q24, 2 have strong significant associations with the risk of glioma, including rs4295627 (P = .003, odds ratio [OR] = 1.21), rs55705857 (P = 2.31 × 10, OR = 3.54). In particular, both homozygous GG (P = 1.91 × 10, OR1 = 2.01) and heterozygous GT (P = 7.75 × 10, OR2 = 1.35) genotypes of rs4295627 were associated with glioma risk. Further studies are needed to explore the role of the 8q24 variants involved in the etiology of glioma.
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Affiliation(s)
- Yu Tong
- Department of Pediatrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province
| | - Lv Ye
- Department of Pediatrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province
| | - Shiping Li
- Chendu Gaoxin-Daan Medical Laboratory Co Ltd Pathology Lab, China
| | - Fengyan Zhao
- Department of Pediatrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province
| | - Junjie Ying
- Department of Pediatrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province
| | - Yi Qu
- Department of Pediatrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province
| | - Jinhui Li
- Department of Pediatrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province
| | - Dezhi Mu
- Department of Pediatrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan Province
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4
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Liu R, Qin XP, Zhuang Y, Zhang Y, Liao HB, Tang JC, Pan MX, Zeng FF, Lei Y, Lei RX, Wang S, Liu AC, Chen J, Zhang ZF, Zhao D, Wu SL, Liu RZ, Wang ZF, Wan Q. Glioblastoma recurrence correlates with NLGN3 levels. Cancer Med 2018; 7:2848-2859. [PMID: 29777576 PMCID: PMC6051187 DOI: 10.1002/cam4.1538] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 04/05/2018] [Accepted: 04/11/2018] [Indexed: 12/13/2022] Open
Abstract
Glioblastoma (GBM) is the most aggressive glioma in the brain. Recurrence of GBM is almost inevitable within a short term after tumor resection. In a retrospective study of 386 cases of GBM collected between 2013 and 2016, we found that recurrence of GBM mainly occurs in the deep brain regions, including the basal ganglia, thalamus, and corpus callosum. But the mechanism underlying this phenomenon is not clear. Previous studies suggest that neuroligin‐3 (NLGN3) is necessary for GBM growth. Our results show that the levels of NLGN3 in the cortex are higher than those in the deep regions in a normal human brain, and similar patterns are also found in a normal mouse brain. In contrast, NLGN3 levels in the deep brain regions of GBM patients are high. We also show that an increase in NLGN3 concentration promotes the growth of U251 cells and U87‐MG cells. Respective use of the cortex neuron culture medium (C‐NCM) and basal ganglia neuron culture medium (BG‐NCM) with DMEM to cultivate U251, U87‐MG and GBM cells isolated from patients, we found that these cells grew faster after treatment with C‐NCM and BG‐NCM in which the cells treated with C‐NCM grew faster than the ones treated with BG‐NCM group. Inhibition of NLGN3 release by ADAM10i prevents NCM‐induced cell growth. Together, this study suggests that increased levels of NLGN3 in the deep brain region under the GBM pathological circumstances may contribute to GBM recurrence in the basal ganglia, thalamus, and corpus callosum.
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Affiliation(s)
- Rui Liu
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Xing-Ping Qin
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yang Zhuang
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Ya Zhang
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Hua-Bao Liao
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Jun-Chun Tang
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Meng-Xian Pan
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Fei-Fei Zeng
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yang Lei
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Rui-Xue Lei
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Shu Wang
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - An-Chun Liu
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Juan Chen
- Department of Neurology, the Central Hospital of Wuhan, Tongji Medical College of Huazhong University of Science & Technology, Wuhan, China
| | - Zhi-Feng Zhang
- Department of Physiology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, Hubei, China
| | - Dan Zhao
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China.,Department of Physiology, School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, Hubei, China
| | - Song-Lin Wu
- Department of Geriatrics, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ren-Zhong Liu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ze-Fen Wang
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China
| | - Qi Wan
- Department of Physiology, Collaborative Innovation Center for Brain Science, School of Basic Medical Sciences, School of Medicine, Wuhan University, Wuhan, China.,Institute of Neuroregeneration & Neurorehabilitation, Department of Neurosurgery of the Affiliated Hospital, Qingdao University, Qingdao, China
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5
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Dying glioma cells establish a proangiogenic microenvironment through a caspase 3 dependent mechanism. Cancer Lett 2016; 385:12-20. [PMID: 27826040 DOI: 10.1016/j.canlet.2016.10.042] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Revised: 10/19/2016] [Accepted: 10/22/2016] [Indexed: 12/30/2022]
Abstract
Vascular recovery or re-angiogenesis after radiotherapy plays a significant role in tumor recurrence, whereas molecular mechanisms of this process remain elusive. In this work, we found that dying glioma cells promoted post-irradiation angiogenesis through a caspase 3 dependent mechanism. Evidence in vitro and in vivo indicated that caspase 3 inhibition undermined proangiogenic effects of dying glioma cells. Proteolytic inactivation of caspase 3 in glioma cells reduced tumorigenicity. Importantly, we identified that NF-κB/COX-2/PGE2 axis acted as downstream signaling of caspase 3, mediating proangiogenic response after irradiation. Additionally, VEGF-A, regulated by caspase 3 possibly through phosphorylated eIF4E, was recognized as another downstream factor participating in the proangiogenic response. In conclusion, these data demonstrated that caspase 3 in dying glioma cells supported the proangiogenic response after irradiation by governing NF-κB/COX-2/PGE2 axis and p-eIF4E/VEGF-A signaling. While inducing caspase 3 activation has been a generally-adopted notion in cancer therapeutics, our study counterintuitively illustrated that caspase 3 activation in dying glioma cells unfavorably supported post-irradiation angiogenesis. This double-edged role of caspase 3 suggested that taming caspase 3 from the opposite side, not always activating it, may provide novel therapeutic strategies due to restricted post-irradiation angiogenesis.
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