Literature DB >> 29642232

Transcription factor 7 functions as an unfavorable prognostic marker of glioblastoma multiforme by promoting proliferation by upregulating c-Myc.

Yan Su1, Yu Wang2, Yuyan Sun3, Xiaodong Zhou4.   

Abstract

Transcription factor 7 (TCF7) is an oncogenic transcription factor in several kinds of cancers. However, the clinical significance of TCF7 in glioblastoma multiforme (GBM) has not been well elucidated. A total of 107 patients with surgical resection of GBM were enrolled in our study. TCF7 expression in these cases was detected by immunohistochemistry and the difference in TCF7 mRNA levels between tumor tissues and adjacent tissues was compared with a real-time PCR. The correlation between TCF7 expression and the clinicopathologic factors was analyzed using the χ-test. Moreover, the prognostic value of TCF7 was evaluated by univariate and multivariate analyses. In addition, the influence of TCF7 on the proliferation of the GBM cell line U251 was detected using an MTT assay after regulating TCF7 and its target gene c-Myc. The high and low expressions of TCF7 accounted for 54.21 and 45.79%, respectively, in all cases. The mRNA level of TCF7 in GBM tissues was markedly higher than that in adjacent tissues, indicating the oncogenic role of TCF7 in GBM. High expression of TCF7 was associated significantly with high Ki67 percentage and the sex of the patients, and it was identified as an independent prognostic factor for patients with GBM. With experiments in vitro, TCF7 was shown to promote cell proliferation by increasing c-Myc expression in GBM. TCF7 could be considered an independent prognostic factor in GBM, and could enhance GBM cell proliferation by upregulating c-Myc, indicating that it may be a potential and promising molecular drug target for GBM.

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Year:  2018        PMID: 29642232     DOI: 10.1097/WNR.0000000000001026

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  2 in total

1.  High DKK3 expression related to immunosuppression was associated with poor prognosis in glioblastoma: machine learning approach.

Authors:  Myung-Hoon Han; Kyueng-Whan Min; Yung-Kyun Noh; Jae Min Kim; Jin Hwan Cheong; Je Il Ryu; Yu Deok Won; Seong-Ho Koh; Jae Kyung Myung; Ji Young Park; Mi Jung Kwon
Journal:  Cancer Immunol Immunother       Date:  2022-05-23       Impact factor: 6.630

2.  Identification of Hub Genes and Key Pathways Associated with Anti-VEGF Resistant Glioblastoma Using Gene Expression Data Analysis.

Authors:  Kesavan R Arya; Ramachandran P Bharath Chand; Chandran S Abhinand; Achuthsankar S Nair; Oommen V Oommen; Perumana R Sudhakaran
Journal:  Biomolecules       Date:  2021-03-09
  2 in total

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