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Links from GEO DataSets

Items: 7

1.

Quantitative in vivo analyses reveal a complex pharmacogenomic landscape in lung adenocarcinoma

(Submitter supplied) The lack of knowledge about the relationship between tumor genotypes and therapeutic responses remains one of the most important gaps in enabling the effective use of cancer therapies. Here, we couple a multiplexed and quantitative platform with robust statistical methods to enable pharmacogenomic mapping of lung cancer treatment responses in vivo. We uncover a surprisingly complex map of genotype-specific therapeutic responses, with over 20% of possible interactions showing significant resistance or sensitivity. more...
Organism:
Mus musculus
Type:
Other
Platform:
GPL17021
13 Samples
Download data: TXT
Series
Accession:
GSE146448
ID:
200146448
2.

Transcriptional profiling of lung tumour cell lines with distinct p53 mutations in the absence or presence of WT p53

(Submitter supplied) Microarray expression data generated to determine the impact of defined p53 mutations on lung cancer cell phenotypes, and on the tumour supressive responses induced by WT p53 restoration. In murine models of lung cancer, the therapeutic benefit of WT p53 restoration has been demonstrated in p53-deficient tumours (Juntilla et al, 2010; Feldser et al, 2010). However, it remains unknown if the restoration of WT p53 function is beneficial in p53 mutant tumours. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL17543
72 Samples
Download data: TXT
Series
Accession:
GSE94758
ID:
200094758
3.

Genomic CpG methylation and TKI-response of the patient with advanced stage lung adenocarcinoma

(Submitter supplied) The DNA methylation signature involved 87 differentially methylated regions (DMR) that distinguished patients’ response to EGFR-TKIs. The methylation level of HOXB9 (cg13643585) which was negatively correlated with gene expression and annotated as function of transcription factor displayed 88% and 92% of sensitivity with respect to objective response rate (ORR, OR=9.25, p=0.0002) and disease control rate (DCR, OR=6.64, p=0.0009), respectively. more...
Organism:
Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
79 Samples
Download data: CSV
Series
Accession:
GSE147377
ID:
200147377
4.

KIAA1522 mediates resistance to cisplatin in lung adenocarcinoma cells

(Submitter supplied) KIAA1522 is aberrantly over-expressed and predicts the outcome of platinum-base chemotherapy. Down-regulation of KIAA1522 sensitizes lung adenocarcinoma cells to cisplatin. To evaluate the molecular mechanisms underlying KIAA1522-induced cisplatin resistance. The RNA sequencing assays were performed in KIAA1522-depleted 889 cells.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
6 Samples
Download data: TXT
Series
Accession:
GSE146072
ID:
200146072
5.

Gene Expression Regulation by Lung Cancer Oncogenes

(Submitter supplied) To characterize gene expression changes induced by oncogenes implicated in human lung adenocarcinoma, we analyzed the whole transcriptome of NIH3T3 cells expressing mutant EGFR (exon 19 deletion) or wild-type EGFR. Expression levels of several genes from this list were validated by quantitative RT-PCR using the same RNA samples.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL10787
4 Samples
Download data: TXT
Series
Accession:
GSE104494
ID:
200104494
6.

Long non-coding RNA CRNDE Involved in Resistance to EGFR tyrosine kinase inhibitor in EGFR-mutant Lung Cancer via eIF4A3/MUC1/EGFR Signal.

(Submitter supplied) Introduction: Overcoming of acquired resistance to EGFR-tyrosine kinase inhibitors (EGFR-TKIs) is an intractable obstacle for many clinical oncologists. The mechanisms of resistance to EGFR-TKIs are very complex. Long non-coding RNAs (lncRNAs) may play an important role in cancer development and metastasis. However, the biological process between lncRNAs and drug resistance to EGFR mutated lung cancer largely unknown. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20844
6 Samples
Download data: TXT
Series
Accession:
GSE163913
ID:
200163913
7.

Clinical Utility of Patient Derived Xenografts to Determine Biomarkers of Prognosis and Map Resistance Pathways in EGFR-Mutant Lung Adenocarcinoma

(Submitter supplied) PURPOSE: Although epidermal growth factor receptor (EGFR) mutated adenocarcinomas initially have very high response rates to EGFR tyrosine kinase inhibitors (TKIs), most atients eventually develop resistance. Patient derived xenografts (PDXs) are considered preferred preclinical models to study the biology of patient tumors. EGFR-mutant PDX models may be valuable tools to study the biology of these tumors and to elucidate mechanisms of resistance to EGFR-targeted therapies. more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by array
Platform:
GPL14951
25 Samples
Download data: TXT
Series
Accession:
GSE63685
ID:
200063685
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Supplemental Content

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