Skip to main navigation Skip to search Skip to main content

Identification of temozolomide resistance factors in glioblastoma via integrative miRNA/mRNA regulatory network analysis

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

Drug resistance is a major issue in the treatment of glioblastoma. Almost all glioblastomas are intrinsically resistant to chemotherapeutic temozolomide (TMZ) or develop resistance during treatment. The interaction networks of microRNAs (miRNAs) and mRNAs likely regulate most biological processes and can be employed to better understand complex processes including drug resistance in cancer. In this study, we examined if integrative miRNA/mRNA network analysis using the web-service tool mirConnX could be used to identify drug resistance factors in glioblastoma. We used TMZ-resistant glioblastoma cells and their integrated miRNA/mRNA networks to identify TMZ-sensitizing factors. TMZ resistance was previously induced in glioblastoma cell lines U87, Hs683, and LNZ308. miRNA/mRNA expression profiling of these cells and integration of the profiles using mirConnX resulted in the identification of plant homeodomain (PHD)-like finger 6 (PHF6) as a potential TMZ-sensitizing factor in resistant glioblastoma cells. Analysis of PHF6 expression showed significant upregulation in glioblastoma as compared to normal tissue. Interference with PHF6 expression in three TMZ-resistant subclones significantly enhanced TMZ-induced cell kill in two of these cell lines. Altogether, these results demonstrate that mirConnX is a feasible and useful tool to investigate miRNA/mRNA interactions in TMZ-resistant cells and has potential to identify drug resistance factors in glioblastoma.
Original languageEnglish
Article number5260
Pages (from-to)5260
JournalScientific Reports
Volume4
DOIs
Publication statusPublished - 11 Jun 2014
Externally publishedYes

Fingerprint

Dive into the research topics of 'Identification of temozolomide resistance factors in glioblastoma via integrative miRNA/mRNA regulatory network analysis'. Together they form a unique fingerprint.

Cite this