Dataset: eIF3a in Urinary Bladder Cancer – in vivo and in vitro insights
The eukaryotic translation initiation factor (eIF) 3a is described in various tumor entities as potential tumor marker involved in...
The eukaryotic translation initiation factor (eIF) 3a is described in various tumor entities as potential tumor marker involved in development and progression of cancer. eIF3a is the largest subunit of the eIF3 complex, a key functional entity in 80S establishment and translation initiation. We hypothesize that eIF3a is more a specific than global translation initiator and involved in signalling pathways that are frequently targeted in UBC therapy. Methods: In FFPE samples of UBC patients eIF3a expression was analysed together with overall survival. In cell culture we investigated proliferation, migration, clonogenicity and tumorgenicity of UBC cell lines with and without knockdown of eIF3a and compared the cytotoxicity of eIF3a knockdown with other translational inhibitors, including the chemotherapeutic Rapamycine. Detailed information on changed gene expression and global translation initiation were gathered by mRNA expresssion and polysomal profiling. Results: and Conclusion eIF3a is upregulated in UBC and high expression of eIF3a corresponds with longer overall survival in low grade tumors. Knockdown of eIF3a in UBC cell lines reduces their malignant phenotype, including reduced tumor growth in xenotransplanted mice. eIF3a regulates DNA damage response (ATM, ATR, CDC25A) on a translational level and we show that reduction in eIF3a expression does not hamper global translation initiation. The knockdown of eIF3a strongly influences proliferation of UBC cell lines without dramatically disturbing general translation as depicted in polysomal profiles. We therefore analysed potential changes on the mRNA level in eIF3a knockdown compared to control HT1197 cells. Differential expression of genes between eIF3a knock-down and control samples was assessed with the moderated t-test (Bioconductor's limma package). Raw p-values were adjusted for multiple hypothesis testing using the method from Benjamini and Hochberg for a strong control of the false discovery rate.
- Species:
- human
- Samples:
- 6
- Source:
- E-GEOD-45636
- PubMed:
- 25070653
- Updated:
- Dec.12, 2014
- Registered:
- Sep.21, 2014
Sample | EXPERIMENT | GROUP | TREATMENT |
---|---|---|---|
GSM1111159 | 1 | CTRL | none |
GSM1111160 | 1 | eIF3a knock-down | Doxycyclin |
GSM111116 | 2 | CTRL | none |
GSM1111162 | 2 | eIF3a knock-down | Doxycyclin |
GSM1111163 | 3 | CTRL | none |
GSM1111164 | 3 | eIF3a knock-down | Doxycyclin |