Literature DB >> 28840371

Pathogenesis of peri-tumoral edema in intracranial meningiomas.

Moncef Berhouma1,2, Timothee Jacquesson3, Emmanuel Jouanneau3, François Cotton4,5.   

Abstract

Peri-tumoral edema in intracranial meningiomas occurs frequently and obviously impacts the morbidity and mortality of these predominantly benign neoplasms. Several causative factors (age, gender, volume, location…) have been unsuccessfully investigated. Despite recent progresses in metabolic imaging and molecular biology, the pathogenesis of peri-tumoral edema remains debated. Hypotheses include vascular endothelial growth factor, metalloproteinases and interleukins among many others. It is probable that this pathogenesis encompasses all these factors with different levels. The current review aims to shed the light on the investigated factors involved in the pathogenesis of peri-tumoral edema in meningiomas and identify the potential therapeutic targets.

Entities:  

Keywords:  Aquaporins; Cytotoxic edema; Hypoxia-inducible factor; Interleukins; Mast cells; Meningioma; Metalloproteinases; Peri-tumoral brain edema; Vascular endothelial growth factor; Vasogenic edema

Mesh:

Substances:

Year:  2017        PMID: 28840371     DOI: 10.1007/s10143-017-0897-x

Source DB:  PubMed          Journal:  Neurosurg Rev        ISSN: 0344-5607            Impact factor:   3.042


  147 in total

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Authors:  M R Machein; J Kullmer; B L Fiebich; K H Plate; P C Warnke
Journal:  Neurosurgery       Date:  1999-04       Impact factor: 4.654

3.  Peritumoral brain edema associated with meningioma: influence of vascular endothelial growth factor expression and vascular blood supply.

Authors:  H Yoshioka; S Hama; E Taniguchi; K Sugiyama; K Arita; K Kurisu
Journal:  Cancer       Date:  1999-02-15       Impact factor: 6.860

4.  Regulation of vascular endothelial growth factor secretion in human meningioma cells.

Authors:  J C Tsai; Y Y Hsiao; L J Teng; C T Shun; C T Chen; C K Goldman; M C Kao
Journal:  J Formos Med Assoc       Date:  1999-02       Impact factor: 3.282

5.  Predicting the probability of meningioma recurrence based on the quantity of peritumoral brain edema on computerized tomography scanning.

Authors:  R E Mantle; B Lach; M R Delgado; S Baeesa; G Bélanger
Journal:  J Neurosurg       Date:  1999-09       Impact factor: 5.115

6.  Metabolic correlates of oxygen debt predict posttrauma early acute respiratory distress syndrome and the related cytokine response.

Authors:  D Rixen; J H Siegel
Journal:  J Trauma       Date:  2000-09

7.  Role of ischaemia in the genesis of oedema surrounding meningiomas assessed using magnetic resonance imaging and spectroscopy.

Authors:  Z Domingo; G Rowe; A M Blamire; T A Cadoux-Hudson
Journal:  Br J Neurosurg       Date:  1998-10       Impact factor: 1.596

8.  Recurrence of meningiomas.

Authors:  F Yamasaki; H Yoshioka; S Hama; K Sugiyama; K Arita; K Kurisu
Journal:  Cancer       Date:  2000-09-01       Impact factor: 6.860

9.  Intracranial meningiomas and epilepsy: incidence, prognosis and influencing factors.

Authors:  A S Lieu; S L Howng
Journal:  Epilepsy Res       Date:  2000-01       Impact factor: 3.045

10.  Vascular endothelial growth factor, hepatocyte growth factor/scatter factor, basic fibroblast growth factor, and placenta growth factor in human meningiomas and their relation to angiogenesis and malignancy.

Authors:  K Lamszus; U Lengler; N O Schmidt; D Stavrou; S Ergün; M Westphal
Journal:  Neurosurgery       Date:  2000-04       Impact factor: 4.654

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  10 in total

1.  Peritumoral Brain Edema in Meningiomas May Be Related to Glymphatic Dysfunction.

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2.  Natural History of Meningiomas: Review with Meta-analyses.

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3.  Alterations of cerebral microcirculation in peritumoral edema: feasibility of in vivo sidestream dark-field imaging in intracranial meningiomas.

Authors:  Moncef Berhouma; Thiebaud Picart; Chloe Dumot; Isabelle Pelissou-Guyotat; David Meyronet; François Ducray; Jerome Honnorat; Omer Eker; Jacques Guyotat; Anne-Claire Lukaszewicz; François Cotton
Journal:  Neurooncol Adv       Date:  2020-08-27

Review 4.  Clinical significance of checkpoint regulator "Programmed death ligand-1 (PD-L1)" expression in meningioma: review of the current status.

Authors:  Shirin Karimi; Sheila Mansouri; Farshad Nassiri; Severa Bunda; Olivia Singh; Priscilla K Brastianos; Ian F Dunn; Gelareh Zadeh
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5.  Peritumoral Brain Edema in Relation to Tumor Size Is a Variable That Influences the Risk of Recurrence in Intracranial Meningiomas.

Authors:  Alessandro Frati; Daniele Armocida; Umberto Aldo Arcidiacono; Alessandro Pesce; Giancarlo D'Andrea; Fabio Cofano; Diego Garbossa; Antonio Santoro
Journal:  Tomography       Date:  2022-08-08

Review 6.  The Long and Winding Road: An Overview of the Immunological Landscape of Intracranial Meningiomas.

Authors:  Giuseppe Roberto Giammalva; Lara Brunasso; Federica Paolini; Roberta Costanzo; Lapo Bonosi; Umberto Emanuele Benigno; Gianluca Ferini; Serena Sava; Cristina Colarossi; Giuseppe Emmanuele Umana; Rosa Maria Gerardi; Carmelo Lucio Sturiale; Alessio Albanese; Domenico Gerardo Iacopino; Rosario Maugeri
Journal:  Cancers (Basel)       Date:  2022-07-26       Impact factor: 6.575

7.  MRI predictors for brain invasion in meningiomas.

Authors:  Thomas Ong; Aditya Bharatha; Reema Alsufayan; Sunit Das; Amy Wei Lin
Journal:  Neuroradiol J       Date:  2020-09-14

8.  Three-Dimensional Radiomics Features From Multi-Parameter MRI Combined With Clinical Characteristics Predict Postoperative Cerebral Edema Exacerbation in Patients With Meningioma.

Authors:  Bing Xiao; Yanghua Fan; Zhe Zhang; Zilong Tan; Huan Yang; Wei Tu; Lei Wu; Xiaoli Shen; Hua Guo; Zhen Wu; Xingen Zhu
Journal:  Front Oncol       Date:  2021-04-15       Impact factor: 6.244

9.  Evaluation of AQP4/TRPV4 Channel Co-expression, Microvessel Density, and its Association with Peritumoral Brain Edema in Intracranial Meningiomas.

Authors:  Konstantinos Faropoulos; Afroditi Polia; Chrisi Tsakona; Eleanna Pitaraki; Athanasia Moutafidi; George Gatzounis; Martha Assimakopoulou
Journal:  J Mol Neurosci       Date:  2021-02-04       Impact factor: 3.444

10.  Machine Learning and Radiomic Features to Predict Overall Survival Time for Glioblastoma Patients.

Authors:  Lina Chato; Shahram Latifi
Journal:  J Pers Med       Date:  2021-12-09
  10 in total

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