Prediction of drug sensitivity
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE3034 | GEO | 2005/07/30
SECONDARY ACCESSION(S): PRJNA93043
REPOSITORIES: GEO
Similar Datasets
Project description:Tumor cell lines and drug-resistant counterparts. These data support the publication Gyorffy et al, Oncogene 2005 (July), Prediction of doxorubicin sensitivity in breast tumors based on gene expression profiles of drug-resistant cell lines correlates with patient survival. We contrasted the expression profiles of 13 different human tumor cell lines of gastric (EPG85-257), pancreatic (EPP85-181), colon (HT29) and breast (MCF7 and MDA-MB-231) origin and their counterparts resistant to the topoisomerase inhibitors daunorubicin, doxorubicin or mitoxantrone. We interrogated cDNA arrays with 43 000 cDNA clones ( approximately 30 000 unique genes) to study the expression pattern of these cell lines. A cell type comparison design experiment design type compares cells of different type for example different cell lines. Using regression correlation
2005-07-30 | E-GEOD-3034 | biostudies-arrayexpress
Project description:Silencing of genes that suppress the malignant phenotype by DNA methylation spurred an interest in the clinical use of epigenetic reprogramming agents. Single therapy is unlikely to be curative in the context of a heterogeneous disease such as Diffuse Large B cell Lymphomas (DLBCL). The combination of DNA demethylating drugs could increase the chance to respond to classical and new treatments. We found that DLBCL cell lines respond heterogeneously to DNA demethylating agents. In sensitive cell lines, 5-aza-2M-bM-^@M-^Y-deoxycytidine induced a genomic signature similar to that of doxorubicin, the most important drug of the combinatorial chemotherapy regimen for DLBCL treatment. Accordingly, the combination of 5-aza-2M-bM-^@M-^Y-deoxycytidine and doxorubicin proved to be synergistic in cell killing in vitro and in vivo for DLBCL cell lines individually responsive to these drugs. In doxorubicin resistant cell lines, long-term exposure to low-dose of 5-aza-2M-bM-^@M-^Y-deoxycytidine induces DNA demethylation and subsequent doxorubicin sensitization in vitro and in vivo. This later effect correlates with SMAD1 demethylation. SMAD1 is epigenetically silenced in doxorubicin-resistant DLBCL cells and DLBCL patients with poor prognostic. In addition, we found that DNA demethylating agents can sensitize primary DLBCL cells to doxorubicin. Primary cells obtained from a DLBCL patient treated with 5-azacytidine shows SMAD1 demethylation and ex vivo sensitization to multiple drugs. Therefore, DNA demethylating drugs can reprogram otherwise resistant DLBCL cells to respond to chemotherapy agents without increasing the toxicity to normal tissues. Our data also indicate that DNA methylation and consequent suppression of SMAD1 expression represent a previously undescribed molecular mechanism of chemoresistance in DLBCL that can be further exploit for therapy. A microarray study using double-stranded cDNA from different DLBCL cell lines before any treatment. Two biological replicates by cell line. The gene expression will be used to find gene expression signatures between sensitive and resistant cell lines to chemotherapeutics.
2012-07-29 | E-GEOD-28744 | biostudies-arrayexpress
Project description:The transcriptomic profiles of two resistant (HT and OCI-LY3) and two sensitive (SUDHL5 and OCI-LY19) DLBCL cell lines before and after doxorubicin treatment were analysed by RNA-seq. To further investigate the molecular basis underlying the development of doxorubicin resistance, acquired doxorubicin-resistant cells (OCI-LY19R) were generated by periodically treating the parental doxorubicin-sensitive OCI-LY19 cells (OCI-LY19S) with increasing doses of doxorubicin over a prolonged period till its IC50 exceeded 200 nM. RNA-seq analysis was then performed using OCI-LY19R and OCI-LY19S cell lines to examine the transcriptomic changes following acquisition of doxorubicin resistance.
2022-12-01 | GSE215900 | GEO
Project description:Transarterial chemoembolization or systemic chemotherapy with doxorubicin has been the treatment of choice for unresectable hepatocellular carcinoma (HCC) conferring the best survival benefit. However, HCC is notorious for its predisposition to develop therapeutic tolerance. Thus, Affymetrix microarray analysis was performed on doxorubicin-resistant hepatoma cells to identify the drug resistance-related genes. The RNA isolated from primary hepatoma cells and their doxorubicin-resistant counterparts, then subjected to Affymetrix microarray analysis to identify the differential expression profiles of drug resistance-related genes.
2019-01-17 | GSE125180 | GEO
Project description:Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a “virtual array” composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects. Keywords: cell type comparison See Summary. Note: this series includes Affymetrix HGU95A chips (difference between resistant and parental cell lines).
2010-04-15 | E-GEOD-3927 | biostudies-arrayexpress
Project description:Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a “virtual array” composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects. Keywords: superSeries This reference Series links data in the following related Series: GSE3926 Anthracycline treatment and resistance in four human cancer cell lines (HGU133A) GSE3927 Anthracycline resistance in four human cancer cell lines (HGU95A)
2010-04-14 | E-GEOD-3929 | biostudies-arrayexpress
Project description:Silencing of genes that suppress the malignant phenotype by DNA methylation spurred an interest in the clinical use of epigenetic reprogramming agents. Single therapy is unlikely to be curative in the context of a heterogeneous disease such as Diffuse Large B cell Lymphomas (DLBCL). The combination of DNA demethylating drugs could increase the chance to respond to classical and new treatments. We found that DLBCL cell lines respond heterogeneously to DNA demethylating agents. In sensitive cell lines, 5-aza-2’-deoxycytidine induced a genomic signature similar to that of doxorubicin, the most important drug of the combinatorial chemotherapy regimen for DLBCL treatment. Accordingly, the combination of 5-aza-2’-deoxycytidine and doxorubicin proved to be synergistic in cell killing in vitro and in vivo for DLBCL cell lines individually responsive to these drugs. In doxorubicin resistant cell lines, long-term exposure to low-dose of 5-aza-2’-deoxycytidine induces DNA demethylation and subsequent doxorubicin sensitization in vitro and in vivo. This later effect correlates with SMAD1 demethylation. SMAD1 is epigenetically silenced in doxorubicin-resistant DLBCL cells and DLBCL patients with poor prognostic. In addition, we found that DNA demethylating agents can sensitize primary DLBCL cells to doxorubicin. Primary cells obtained from a DLBCL patient treated with 5-azacytidine shows SMAD1 demethylation and ex vivo sensitization to multiple drugs. Therefore, DNA demethylating drugs can reprogram otherwise resistant DLBCL cells to respond to chemotherapy agents without increasing the toxicity to normal tissues. Our data also indicate that DNA methylation and consequent suppression of SMAD1 expression represent a previously undescribed molecular mechanism of chemoresistance in DLBCL that can be further exploit for therapy. A microarray study using genomic DNA from different DLBCL cell lines before any treatment. Two to four biological replicates by cell line. The HELP data wil be used to find genes hypermethylated in resistant cell lines compared to sensitive cell lines to doxorubicin and other drugs.
2012-07-29 | E-GEOD-31101 | biostudies-arrayexpress
Project description:Analysis of varied biologic pathways in neuroblastoma SK-N-SH cells grown in doxorubicin and/or SAHA. The hypothesis was that SK-N-SH cells undergo a mesenchymal change through mesenchymal change resulting in a more invasive as well as drug resistant phenotype, and that the mechanism of SAHAs effect on drug resistance may be revealed through this analysis. Total RNA was isolated from wild type, SAHA treated wild type cells, doxorubicin resistant, and SAHA treated doxorubicin resistant SK-N-SH cell lines in triplicate.
2016-05-31 | E-GEOD-47668 | biostudies-arrayexpress
Project description:We analysed aquired chemotherapeutic resistance of two different triple negative breast cancer cell lines BT-549 (Doxorubicin resistance) and MDA-MB-468 (5-Fluorouracil) by comparing the proteome of the parental cell line with the resistant cell line.
2018-02-23 | PXD008522 | Pride
Project description:The data from these cell lines is described in figure 2 of the mansucript "Systemic and cell-type specific gene expression patterns in scleroderam skin" by Whitfield et al. (2003) PNAS. Aortic smooth muscle cells and microvascular endothelial cells were obtained from Clonetics and cultured in the recommended media; Hs578T myofibroblast-like cells were grown in RPMI-1640 supplemented with phenol red, glutamine (2 mM) and 5% fetal calf serum; HeLa S3 epithelial cells were obtained from the American Type Culture Collection (ATCC) and cultured as described in Whitfield et al., MBC, (2002). Normal, morphea and scleroderma fibroblasts were derived from normal, morphea and scleroderma skin biopsies taken by Dr. Kari Connolly at UCSF. In all cases, RNA was prepared from cells 48 hrs after changing the culture media to avoid the induction of serum responsive genes. Poly(A) RNA from each cell line was reverse-transcribed into Cy5-dUTP (Amersham Pharmacia Biotech, Piscataway NJ) labeled cDNA and reference RNA reverse-transcribed into Cy3-dUTP (Amersham Pharmacia Biotech, Piscataway NJ) labeled cDNA using standard methods. Cells grown in culture were analyzed on cDNA microarrays containing 40,512 elements representing 28,384 UniGene clusters (UniGene Build No. 155, released 9-28-2002) manufactured in the Stanford Microarray Facility (http://www.microarray.org). Equal amounts of Cy5- and Cy3-labeled cDNA were hybridized to spotted cDNA microarrays and scanned using a GenePix 4000A Scanner (Axon Instruments, Union City CA). Detailed protocols are available at http://brownlab.stanford.edu/protocols.html/. Data were extracted by superimposing a grid over each array using GenePix 3.0 software (Axon Instruments, Union City CA). Spots of poor quality, determined by visual inspection, were excluded from further analysis. A cell type comparison design experiment design type compares cells of different type for example different cell lines. Keywords: cell_type_comparison_design
2005-12-21 | GSE3887 | GEO