Literature DB >> 24878932

Prognosis in human glioblastoma based on expression of ligand growth hormone-releasing hormone, pituitary-type growth hormone-releasing hormone receptor, its splicing variant receptors, EGF receptor and PTEN genes.

Géza Mezey1, Andrea Treszl, Andrew V Schally, Normann L Block, Laura Vízkeleti, Alíz Juhász, Almos Klekner, János Nagy, Margit Balázs, Gábor Halmos, László Bognár.   

Abstract

PURPOSE: Glioblastoma (GB) is the most frequent brain tumor. Despite recent improvement in therapeutic strategies, the prognosis of GB remains poor. Growth hormone-releasing hormone (GHRH) may act as a growth factor; antagonists of GHRH have been successfully applied for experimental treatment of different types of tumors. The expression profile of GHRH receptor, its main splice variant SV1 and GHRH have not been investigated in human GB tissue samples.
METHODS: We examined the expression of GHRH, full-length pituitary-type GHRH receptor (pGHRHR), its functional splice variant SV1 and non-functional SV2 by RT-PCR in 23 human GB specimens. Epidermal growth factor receptor (EGFR) and phosphatase and tensin homolog gene (PTEN) expression levels were also evaluated by quantitative RT-PCR. Correlations between clinico-pathological parameters and gene expressions were analyzed.
RESULTS: Expression of GHRH was found to be positive in 61.9 % of samples. pGHRH receptor was not expressed in our sample set, while SV1 could be detected in 17.4 % and SV2 in 8.6 % of the GB tissues. In 65.2 and 78.3 % of samples, significant EGFR over-expression or PTEN under-representation could be detected, respectively. In 47.8 % of cases, EGFR up-regulation and PTEN down-regulation occurred together. Survival was significantly poorer in tumors lacking GHRH expression. This worse prognosis in GHRH negative group remained significant even if SV1 was also expressed.
CONCLUSION: Our study shows that GHRH and SV1 genes expressed in human GB samples and their expression patterns are associated with poorer prognosis.

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Year:  2014        PMID: 24878932     DOI: 10.1007/s00432-014-1716-1

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  35 in total

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3.  The expression of the pituitary growth hormone-releasing hormone receptor and its splice variants in normal and neoplastic human tissues.

Authors:  Alexandre Havt; Andrew V Schally; Gabor Halmos; Jozsef L Varga; Gabor L Toller; Judit E Horvath; Karoly Szepeshazi; Frank Köster; Kevin Kovitz; Kate Groot; Marta Zarandi; Celia A Kanashiro
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-18       Impact factor: 11.205

4.  Clinical significance of molecular biomarkers in glioblastoma.

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5.  PIK3CA alterations in primary (de novo) and secondary glioblastomas.

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8.  A pilot study of everolimus and gefitinib in the treatment of recurrent glioblastoma (GBM).

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9.  Molecular predictors of progression-free and overall survival in patients with newly diagnosed glioblastoma: a prospective translational study of the German Glioma Network.

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Journal:  J Clin Oncol       Date:  2009-10-05       Impact factor: 44.544

Review 10.  Antagonists of growth-hormone-releasing hormone: an emerging new therapy for cancer.

Authors:  Andrew V Schally; Jozsef L Varga; Jörg B Engel
Journal:  Nat Clin Pract Endocrinol Metab       Date:  2008-01
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Review 1.  RNA processing as an alternative route to attack glioblastoma.

Authors:  Fabiana Marcelino Meliso; Christopher G Hubert; Pedro A Favoretto Galante; Luiz O Penalva
Journal:  Hum Genet       Date:  2017-06-12       Impact factor: 4.132

2.  Expression of Growth Hormone-Releasing Hormone and Its Receptor Splice Variants in Primary Human Endometrial Carcinomas: Novel Therapeutic Approaches.

Authors:  Zsuzsanna Szabo; Eva Juhasz; Andrew V Schally; Balazs Dezso; Sandor Huga; Zoltan Hernadi; Gabor Halmos; Csongor Kiss
Journal:  Molecules       Date:  2022-04-21       Impact factor: 4.411

3.  Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status.

Authors:  Jun-Chao Xie; Shuai Yang; Xue-Yuan Liu; Yan-Xin Zhao
Journal:  Cancer Med       Date:  2018-07-15       Impact factor: 4.452

  3 in total

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