Literature DB >> 27038932

Expression and Prognostic Significance of p53 in Glioma Patients: A Meta-analysis.

Yueling Jin1, Weizhong Xiao2, Tingting Song3, Guangjia Feng4, Zhensheng Dai5.   

Abstract

Glioma is a brain tumor deriving from the neoplastic glial cells or neuroglia. Due to its resistance to anticancer drugs and different disease progress of individuals, patients with high-grade glioma are difficult to completely cure, leading to a poor prognosis and low overall survival. Therefore, there is an urgent need to look for prognostic and diagnostic indicators that can predict glioma grades. P53 is one of the widely studied biomarkers in human glioma. The purpose of this study was to comprehensively evaluate the significance of p53 expression in glioma grades and overall survival. We searched commonly used electronic databases to retrieve related articles of p53 expression in glioma. Overall, a total of 21 studies including 1322 glioma patients were finally screened out. We observed that the frequency of p53 immuno-positivity was higher in high-grade patients than that in low-grade category (63.8 vs. 41.6 %), and our statistic analysis indicated that p53 expression was associated with pathological grade of glioma (OR 2.93, 95 % CI 1.87-4.60, P < 0.00001). This significant correction was also found in 1-, 3- and 5-year overall survival. However, no positive relationship was found between age, sex, tumor size and p53 expression in patients with glioma. In conclusion, our results suggested that p53 immunohistochemical expression might have an effective usefulness in predicting the prognosis in patients with glioma.

Entities:  

Keywords:  Expression; Glioma; Immunohistochemical; Meta-analysis; p53

Mesh:

Substances:

Year:  2016        PMID: 27038932     DOI: 10.1007/s11064-016-1888-y

Source DB:  PubMed          Journal:  Neurochem Res        ISSN: 0364-3190            Impact factor:   3.996


  48 in total

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Authors:  Chang-Il Hwang; Andres Matoso; David C Corney; Andrea Flesken-Nikitin; Stefanie Körner; Wei Wang; Carla Boccaccio; Snorri S Thorgeirsson; Paolo M Comoglio; Heiko Hermeking; Alexander Yu Nikitin
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-09       Impact factor: 11.205

2.  Expression of p53, EGFR, pRb and bcl-2 proteins in pediatric glioblastoma multiforme: a study of 54 patients.

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Journal:  Pediatr Neurosurg       Date:  2005 Nov-Dec       Impact factor: 1.162

3.  The synergistic effect of combination temozolomide and chloroquine treatment is dependent on autophagy formation and p53 status in glioma cells.

Authors:  Seung Woo Lee; Hyun-Kyung Kim; Na-Hyeon Lee; Hee-Yeon Yi; Hong-Sug Kim; Sung Hee Hong; Yong-Kil Hong; Young Ae Joe
Journal:  Cancer Lett       Date:  2015-02-11       Impact factor: 8.679

4.  Gliomas: correlation of histologic grade, Ki67 and p53 expression with patient survival.

Authors:  Huma Arshad; Zubair Ahmad; Sheema H Hasan
Journal:  Asian Pac J Cancer Prev       Date:  2010

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Authors:  Rafael de Freitas E Silva; Neyliane Frassinetti Gonçalves Dos Santos; Valéria Rěgo Alves Pereira; Ademir Amaral
Journal:  Dose Response       Date:  2013-08-27       Impact factor: 2.658

6.  Survival of patients with glioblastoma multiforme is not influenced by altered expression of p16, p53, EGFR, MDM2 or Bcl-2 genes.

Authors:  E W Newcomb; H Cohen; S R Lee; S K Bhalla; J Bloom; R L Hayes; D C Miller
Journal:  Brain Pathol       Date:  1998-10       Impact factor: 6.508

7.  Glioma tumor grade correlates with parkin depletion in mutant p53-linked tumors and results from loss of function of p53 transcriptional activity.

Authors:  J Viotti; E Duplan; C Caillava; J Condat; T Goiran; C Giordano; Y Marie; A Idbaih; J-Y Delattre; J Honnorat; F Checler; C Alves da Costa
Journal:  Oncogene       Date:  2013-05-06       Impact factor: 9.867

8.  p53 mutation, expression, and DNA ploidy in evolving gliomas: evidence for two pathways of progression.

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Journal:  J Natl Cancer Inst       Date:  1994-07-06       Impact factor: 13.506

9.  p53 at the endoplasmic reticulum regulates apoptosis in a Ca2+-dependent manner.

Authors:  Carlotta Giorgi; Massimo Bonora; Giovanni Sorrentino; Sonia Missiroli; Federica Poletti; Jan M Suski; Fabian Galindo Ramirez; Rosario Rizzuto; Francesco Di Virgilio; Ester Zito; Pier Paolo Pandolfi; Mariusz R Wieckowski; Fabio Mammano; Giannino Del Sal; Paolo Pinton
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-26       Impact factor: 11.205

10.  Human papillomavirus and p53 expression in cancer of unknown primary in the head and neck region in relation to clinical outcome.

Authors:  Lars Sivars; Anders Näsman; Nikolaos Tertipis; Andrea Vlastos; Torbjörn Ramqvist; Tina Dalianis; Eva Munck-Wikland; Sushma Nordemar
Journal:  Cancer Med       Date:  2014-02-10       Impact factor: 4.452

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  15 in total

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Authors:  Jan Hrabeta; Tomas Eckschlager; Marie Stiborova; Zbynek Heger; Sona Krizkova; Vojtech Adam
Journal:  J Mol Med (Berl)       Date:  2016-09-16       Impact factor: 4.599

2.  Evaluating the potential of circulating hTERT levels in glioma: can plasma levels serve as an independent prognostic marker?

Authors:  Puneet Gandhi; Richa Khare; Nitin Garg
Journal:  J Neurooncol       Date:  2017-07-29       Impact factor: 4.130

3.  TP53 gain-of-function mutation promotes inflammation in glioblastoma.

Authors:  Seok Won Ham; Hee-Young Jeon; Xiong Jin; Eun-Jung Kim; Jun-Kyum Kim; Yong Jae Shin; Yeri Lee; Se Hoon Kim; Seon Yong Lee; Sunyoung Seo; Min Gi Park; Hye-Mi Kim; Do-Hyun Nam; Hyunggee Kim
Journal:  Cell Death Differ       Date:  2018-05-21       Impact factor: 15.828

4.  Clinical and Prognostic Implications of 1p/19q, IDH, BRAF, MGMT Promoter, and TERT Promoter Alterations, and Expression of Ki-67 and p53 in Human Gliomas.

Authors:  Zixi Yang; Feng Ling; Sibei Ruan; Jiajia Hu; Mingxi Tang; Xingwang Sun; Wenbo Long
Journal:  Cancer Manag Res       Date:  2021-11-23       Impact factor: 3.989

Review 5.  Glioma-Targeted Therapeutics: Computer-Aided Drug Design Prospective.

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Journal:  Protein J       Date:  2021-09-29       Impact factor: 2.371

6.  Next-Generation Grade and Survival Expression Biomarkers of Human Gliomas Based on Algorithmically Reconstructed Molecular Pathways.

Authors:  Marianna A Zolotovskaia; Max A Kovalenko; Victor S Tkachev; Alexander M Simonov; Maxim I Sorokin; Ella Kim; Denis V Kuzmin; Betul Karademir-Yilmaz; Anton A Buzdin
Journal:  Int J Mol Sci       Date:  2022-06-30       Impact factor: 6.208

7.  Establishing cut-off points with clinical relevance for bcl-2, cyclin D1, p16, p21, p27, p53, Sox11 and WT1 expression in glioblastoma - a short report.

Authors:  Emma Camacho-Urkaray; Jorge Santos-Juanes; Francisco Borja Gutiérrez-Corres; Beatriz García; Luis M Quirós; Isabel Guerra-Merino; José Javier Aguirre; Iván Fernández-Vega
Journal:  Cell Oncol (Dordr)       Date:  2017-12-07       Impact factor: 6.730

8.  Radiomic prediction models for the level of Ki-67 and p53 in glioma.

Authors:  Xiaojun Sun; Peipei Pang; Lin Lou; Qi Feng; Zhongxiang Ding; Jian Zhou
Journal:  J Int Med Res       Date:  2020-05       Impact factor: 1.671

9.  A prognostic signature based on three non-coding RNAs for prediction of the overall survival of glioma patients.

Authors:  Junmin Xian; Quanzhong Zhang; Xiwen Guo; Xiankun Liang; Xinhua Liu; Yugong Feng
Journal:  FEBS Open Bio       Date:  2019-03-07       Impact factor: 2.693

10.  Expression and Prognostic Value of ARID5A and its Correlation With Tumor-Infiltrating Immune Cells in Glioma.

Authors:  Quan Zhou; Jinping Zhou; Jingyi Fan
Journal:  Front Oncol       Date:  2021-05-19       Impact factor: 6.244

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