Literature DB >> 21468591

Tissue array analysis for the differentiation of gliosis from gliomas.

V Medina Villaamil1, A Alvarez García, G Aparicio Gallego, S Díaz Prado, L A Rivas López, I Santamarina Caínzos, M Valladares Ayerbes, L M Antón Aparicio.   

Abstract

The aim of this study was to provide a methodology to make a clear distinction between malignant tumors and morphologically similar benign processes, by examining the expression of EGFR, VEGF, HIF1-α, survivin, Bcl-2 and p53 proteins. Four groups of patient samples were studied: group 1, low-grade astrocytomas (WHO grades I-II) (n=6); group 2, peripheral area of high-grade astrocytomas (WHO grades III-IV) (n=5); group 3, gliomatosis cerebri (n=11); and group 4, reactive gliosis (n=6). Tissue arrays (TAs) were designed to study apoptosis, angiogenesis and invasion-related proteins by immunohistochemistry (IHC). By means of non-parametric analysis (Mann-Whitney U test), EGFR staining was shown to be significantly lower in reactive gliosis than in the low- and high-grade astrocytomas (p=0.015 and p=0.030, respectively); Bcl-2 immunoreactivity was significantly higher in the gliomatosis cerebri samples than in the reactive processes (p=0.005); and finally, Bcl-2 presented significantly lower expression levels in reactive gliosis compared to the peripheral areas of high-grade astrocytomas (p=0.004). The results indicate that Bcl-2 and EGFR may be useful in conducting differential diagnosis between the above groups, while the expression of the remaining antibodies does not appear to aid in distinguishing between the samples analyzed. The use of TAs to identify the protein expression profiles of biological markers related to different pathways was verified, and its potential as a discriminatory technique for everyday pathology procedures was demonstrated.

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Year:  2011        PMID: 21468591     DOI: 10.3892/mmr.2011.462

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  6 in total

1.  Searching for Hif1-α interacting proteins in renal cell carcinoma.

Authors:  V Medina Villaamil; G Aparicio Gallego; I Santamarina Caínzos; M Valladares-Ayerbes; L M Antón Aparicio
Journal:  Clin Transl Oncol       Date:  2012-08-28       Impact factor: 3.405

2.  Multiple biomarker tissue arrays: A computational approach to identifying protein-protein interactions in the EGFR/ERK signalling pathway.

Authors:  V Medina Villaamil; G Aparicio Gallego; M Valladares-Ayerbes; I Santamarina Caínzos; L Miguel Antón Aparicio
Journal:  J Mol Signal       Date:  2012-09-01

3.  Survivin-specific small interfering RNAs enhance sensitivity of glioma U-87MG cells to paclitaxel by promoting apoptosis.

Authors:  Yunliang Xie; Yanbo Liu; Weigao Shen; Bo Zhang; Qun Liu
Journal:  Neural Regen Res       Date:  2012-05-05       Impact factor: 5.135

4.  Spinal hemangioblastoma combined with pilocytic astrocytoma.

Authors:  Wei-Qing Li; Xiang Wang; Nan-Zhe Zhong; Yi-Ming Li
Journal:  Neurosciences (Riyadh)       Date:  2015-07       Impact factor: 0.906

5.  Survivin and gliomas: A literature review.

Authors:  Rosilin Kotakkathu Varughese; Sverre Helge Torp
Journal:  Oncol Lett       Date:  2016-07-15       Impact factor: 2.967

6.  A Simple Panel of IDH1 and P53 in Differential Diagnosis Between Low-Grade Astrocytoma and Reactive Gliosis.

Authors:  Bita Geramizadeh; Mahsa Kohandel-Shirazi; Ahmad Soltani
Journal:  Clin Pathol       Date:  2021-02-11
  6 in total

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