Rational targeting of dynamic tumor subclones in relapsing human glioblastoma
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE145128 | GEO | 2020/02/12
REPOSITORIES: GEO
Similar Datasets
Project description:In order to identify factors involved in TMZ-resistance, we engineered different TMZ-resistant glioblastoma cell lines. Wildtype cells were treated twice a week in duplicate with a clinically relevant concentration of TMZ (33 µM) for multiple weeks, until two individual resistant subclones were generated. Gene expression profiling was performed to identify differentially expressed genes in the resistant cells compared to their wildtype cells. three wildtype glioblastoma cell lines (U87, LNZ308, Hs683) and their resistant subclones, two of each wildtype, were analyzed The experiments were performed technically as dual channel but processed/normalized as single channel (i.e. two sample records per one raw data file). The raw data file for each sample is indicated in the sample description field but linked as Series supplementary file.
2014-01-01 | E-GEOD-53014 | biostudies-arrayexpress
Project description:In order to identify factors involved in TMZ-resistance, we engineered different TMZ-resistant glioblastoma cell lines. Wildtype cells were treated twice a week in duplicate with a clinically relevant concentration of TMZ (33 µM) for multiple weeks, until two individual resistant subclones were generated. Gene expression profiling was performed to identify differentially expressed genes in the resistant cells compared to their wildtype cells.
2014-01-01 | GSE53014 | GEO
Project description:Rational targeting of dynamic tumor subclones in relapsing human glioblastoma
| PRJNA606087 | ENA
Project description:Glioblastoma multiforme(GBM) is the most common and lethal malignant primary brain tumor. Temozolomide (TMZ) is a promising chemo-therapeutic agent to treat GBM. However, resistance to TMZ develops quickly with a high frequency. The mechanisms underlying GBM cells’ resistance to TMZ are not fully understood. Non-coding RNAs are aberrantly expressed in many cancers and are highly involved in their pathogenesis including drug-resistence. In order to systematically study the role of miRNAs in GBM cells' resistence to TMZ , we built gene expression profiles of TMZ-resistant cell line and TMZ-sensitive cell line using miRNA gene expression microarrays.
2020-07-04 | GSE100775 | GEO
Project description:Glioblastoma multiforme (GBM) is the most common and lethal malignant primary brain tumor. Temozolomide (TMZ) is a promising chemo-therapeutic agent to treat GBM. However, resistance to TMZ develops quickly with a high frequency. The mechanisms underlying GBM cells’ resistance to TMZ are not fully understood. Long non-coding RNAs (lncRNAs) are aberrantly expressed in many cancers and are highly involved in their pathogenesis including drug-resistence. In order to systematically study the role of lncRNAs in GBM cells' resistence to TMZ , we built gene expression profiles of TMZ-resistant cell line and TMZ-sensitive cell line using lncRNA and mRNA gene expression microarrays.
2020-07-03 | GSE100736 | GEO
Project description:Abstract:
Despite intensive treatments including temozolomide (TMZ) administration, glioblastoma patient prognosis remains dismal and innovative therapeutic strategies are urgently needed. A systems pharmacology approach was undertaken to investigate TMZ pharmacokinetics‐pharmacodynamics (PK‐PD) incorporating the effect of local pH, tumor spatial configuration and micro‐environment. A hybrid mathematical framework was designed coupling ordinary differential equations describing the intracellular reactions, with a spatial cellular automaton to individualize the cells. A differential drug impact on tumor and healthy cells at constant extracellular pH was computationally demonstrated as TMZ‐induced DNA damage was larger in tumor cells as compared to normal cells due to less acidic intracellular pH in cancer cells. Optimality of TMZ efficacy defined as maximum difference between damage in tumor and healthy cells was reached for extracellular pH between 6.8 and 7.5. Next, TMZ PK‐PD in a solid tumor was demonstrated to highly depend on its spatial configuration as spread cancer cells or fragmented tumors presented higher TMZ‐induced damage as compared to compact tumor spheroid. Simulations highlighted that smaller tumors were less acidic than bigger ones allowing for faster TMZ activation and their closer distance to blood capillaries allowed for better drug penetration. For model parameters corresponding to U87 glioma cells, inter‐cell variability in TMZ uptake play no role regarding the mean drug‐induced damage in the whole cell population whereas this quantity was increased by inter‐cell variability in TMZ efflux which was thus a disadvantage in terms of drug resistance. Overall, this study revealed pH as a new potential target to significantly improve TMZ antitumor efficacy.
Change the value of pH for different cases.
2019-09-30 | MODEL1909300003 | BioModels
Project description:Long non-coding RNAs (lncRNAs) are increasingly recognized as important players in transcription and epigenetic-driven cell diversification. So far, lncRNA function in more dynamic transcriptional reprogramming, i.e drug response, has been largely unexplored. Here, we investigated the regulatory circuits induced by chemotherapy in glioblastoma, the most aggressive and clinically refractory brain cancer. We performed a detailed characterization of the cellular and transcriptional response of glioblastoma stem-like cells to the alkylating agent temozolomide (TMZ). We found that in addition to mRNAs, TMZ affects the expression of a large number of non-coding RNAs (miRNAs, snoRNAs, lncRNAs). Our global transcriptome analysis provides a comprehensive characterization of regulatory circuits involving transcription factors, mRNAs, miRNAs and lncRNAs. To analyse the putative functions of these largely unknown RNA molecules, we developed a pipeline to integrate small and large RNA-seq data from multiple public databases and our own experiments. This led to the identification of the RNA interactome of glioblastoma and allowed us to define regulatory loops mediated by lncRNAs. We identified 22 key lncRNAs involved in transcriptional regulatory motifs, and three lncRNAs associated with patient prognosis, independent of other known response predictors. The investigation of TMZ-induced molecular networks in glioblastoma highlights novel coding and non-coding RNA-based predictors of glioblastoma chemoresistance, as well as potential targets to counteract such resistance.
2019-04-24 | GSE98127 | GEO
Project description:Long non-coding RNAs (lncRNAs) are increasingly recognized as important players in transcription and epigenetic-driven cell diversification. So far, lncRNA function in more dynamic transcriptional reprogramming, i.e drug response, has been largely unexplored. Here, we investigated the regulatory circuits induced by chemotherapy in glioblastoma, the most aggressive and clinically refractory brain cancer. We performed a detailed characterization of the cellular and transcriptional response of glioblastoma stem-like cells to the alkylating agent temozolomide (TMZ). We found that in addition to mRNAs, TMZ affects the expression of a large number of non-coding RNAs (miRNAs, snoRNAs, lncRNAs). Our global transcriptome analysis provides a comprehensive characterization of regulatory circuits involving transcription factors, mRNAs, miRNAs and lncRNAs. To analyse the putative functions of these largely unknown RNA molecules, we developed a pipeline to integrate small and large RNA-seq data from multiple public databases and our own experiments. This led to the identification of the RNA interactome of glioblastoma and allowed us to define regulatory loops mediated by lncRNAs. We identified 22 key lncRNAs involved in transcriptional regulatory motifs, and three lncRNAs associated with patient prognosis, independent of other known response predictors. The investigation of TMZ-induced molecular networks in glioblastoma highlights novel coding and non-coding RNA-based predictors of glioblastoma chemoresistance, as well as potential targets to counteract such resistance.
2019-04-24 | GSE98126 | GEO
Project description:TMZ resistance is one of the main reasons why treatment of glioblastoma (GBM) fails. In order to investigate the underlying mechanism associated with TMZ resistance, we conducted a cytoplasmic proteome research of U87 cells treated with TMZ for 1 week. A total of 162 DEPs including 66 up-regulated proteins and 96 down-regulated proteins were identified.
2018-10-23 | PXD007759 | Pride