Literature DB >> 21046309

Morphological and flow cytometric analysis of cell infiltration in glioblastoma: a comparison of autopsy brain and neuroimaging.

Takahiro Yamahara1, Yoshihiro Numa, Tetsuya Oishi, Takuya Kawaguchi, Toshitaka Seno, Akio Asai, Keiji Kawamoto.   

Abstract

Even when we successfully perform a total extirpation of glioblastoma macroscopically, we often encounter tumor recurrence. We examined seven autopsy brains, focusing on tumor cell infiltration in the peripheral zone of a tumor, and compared our findings with the MR images. There has so far been no report regarding mapping of tumor cell infiltration and DNA histogram by flow cytometry, comparing the neuroimaging findings with the autopsy brain findings. The autopsy brain was cut in 10-mm-thick slices, in parallel with the OM line. Tissue samples were obtained from several parts in the peripheral zone (the outer area adjacent to the tumor edge as defined by postcontrast MRI) and then were examined by H&E, GFAP, and VEGF staining. We defined three infiltrating patterns based on number of infiltrated cells as follows: A zone, 100%-60% of the cells infiltrated tumor cells compared with tumor cell density of the tumor mass; B zone, 60%-20%; C zone, 20%-0%. In the autopsy brain, the tumor was easily identified macroscopically. We found that (1) the tumor cells infiltrated the peritumoral area; and (2) tumor cell infiltration was detected over an area measuring from 6 to 14 mm from the tumor border in the A zone. When performing surgery on glioblastoma, a macroscopic total extirpation of the tumor as defined by the contrast-enhanced area in MRI is therefore considered to be insufficient for successfully reducing tumor recurrence.

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Year:  2010        PMID: 21046309     DOI: 10.1007/s10014-010-0275-7

Source DB:  PubMed          Journal:  Brain Tumor Pathol        ISSN: 1433-7398            Impact factor:   3.298


  36 in total

1.  The relationship between Cho/NAA and glioma metabolism: implementation for margin delineation of cerebral gliomas.

Authors:  Jun Guo; Chengjun Yao; Hong Chen; Dongxiao Zhuang; Weijun Tang; Guang Ren; Yin Wang; Jinsong Wu; Fengping Huang; Liangfu Zhou
Journal:  Acta Neurochir (Wien)       Date:  2012-06-23       Impact factor: 2.216

2.  Pattern analysis of dynamic susceptibility contrast-enhanced MR imaging demonstrates peritumoral tissue heterogeneity.

Authors:  Hamed Akbari; Luke Macyszyn; Xiao Da; Ronald L Wolf; Michel Bilello; Ragini Verma; Donald M O'Rourke; Christos Davatzikos
Journal:  Radiology       Date:  2014-06-19       Impact factor: 11.105

3.  In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The φ-Index.

Authors:  Spyridon Bakas; Hamed Akbari; Jared Pisapia; Maria Martinez-Lage; Martin Rozycki; Saima Rathore; Nadia Dahmane; Donald M O'Rourke; Christos Davatzikos
Journal:  Clin Cancer Res       Date:  2017-04-20       Impact factor: 12.531

4.  Global tracking in human gliomas: a comparison with established tracking methods.

Authors:  T Nguyen-Thanh; M Reisert; C Anastasopoulos; F Hamzei; T Reithmeier; M S Vry; V G Kiselev; A Weyerbrock; I Mader
Journal:  Clin Neuroradiol       Date:  2013-01-18       Impact factor: 3.649

5.  GM-CSF production by glioblastoma cells has a functional role in eosinophil survival, activation, and growth factor production for enhanced tumor cell proliferation.

Authors:  Colleen S Curran; Michael D Evans; Paul J Bertics
Journal:  J Immunol       Date:  2011-06-24       Impact factor: 5.422

6.  Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.

Authors:  James S Cordova; Hui-Kuo G Shu; Zhongxing Liang; Saumya S Gurbani; Lee A D Cooper; Chad A Holder; Jeffrey J Olson; Brad Kairdolf; Eduard Schreibmann; Stewart G Neill; Constantinos G Hadjipanayis; Hyunsuk Shim
Journal:  Neuro Oncol       Date:  2016-03-15       Impact factor: 12.300

7.  Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning.

Authors:  Saima Rathore; Hamed Akbari; Jimit Doshi; Gaurav Shukla; Martin Rozycki; Michel Bilello; Robert Lustig; Christos Davatzikos
Journal:  J Med Imaging (Bellingham)       Date:  2018-03-01

Review 8.  Precision diagnostics based on machine learning-derived imaging signatures.

Authors:  Christos Davatzikos; Aristeidis Sotiras; Yong Fan; Mohamad Habes; Guray Erus; Saima Rathore; Spyridon Bakas; Rhea Chitalia; Aimilia Gastounioti; Despina Kontos
Journal:  Magn Reson Imaging       Date:  2019-05-06       Impact factor: 2.546

9.  The influence of intraoperative resection control modalities on survival following gross total resection of glioblastoma.

Authors:  Marian C Neidert; Isabel C Hostettler; Jan-Karl Burkhardt; Malte Mohme; Ulrike Held; Reto Kofmehl; Günter Eisele; Christoph M Woernle; Luca Regli; Oliver Bozinov
Journal:  Neurosurg Rev       Date:  2016-02-09       Impact factor: 3.042

10.  Characterizing the peritumoral brain zone in glioblastoma: a multidisciplinary analysis.

Authors:  Jean-Michel Lemée; Anne Clavreul; Marc Aubry; Emmanuelle Com; Marie de Tayrac; Pierre-Antoine Eliat; Cécile Henry; Audrey Rousseau; Jean Mosser; Philippe Menei
Journal:  J Neurooncol       Date:  2015-01-06       Impact factor: 4.130

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