Gene expression associated with gemcitabine resistance and its reversal by bexarotene
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE6914 | GEO | 2007/01/31
SECONDARY ACCESSION(S): PRJNA98533
REPOSITORIES: GEO
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Project description:Acquired drug resistance represents a major challenge in chemo-therapy treatment for various types of cancers. We have found that the retinoid X receptorâselective agonist bexarotene (LGD1069, Targretin) was efficacious in treating chemo-resistant cancer cells. The goal of this microarray study was to understand the mechanism of bexaroteneâs role in overcoming acquired drug resistance using human breast cancer cells MDA-MB-231 as a model system and paclitaxel as model compound. After MDA-MB-231 cells were repeatedly treated with paclitaxel for 8 cycles with each cycle including a 3-day treatment with 30 nM paclitaxel and followed by a 7-day exposure to control medium, MDA cells resistant to paclitaxel were developed and their growth was no longer inhibited by paclitaxel treatment. Those MDA cells with acquired drug resistance, when treated with paclitaxel and bexarotene in combination, could regain their sensitivity and their growth were again inhibited. Therefore, RNA samples from parental MDA-MB-231 cells, paclitaxel-resistant MDA cells treated with vehicle, paclitaxel alone or in combination with bexarotene, were used for perform global gene expression profiling with Affymetrix HG-U133A gene chips. Keywords: Drug Treatment MDA-MB-231 cells were exposed to regimens on a 10-day cycle: a 3-day treatment with 30 nM paclitaxel and followed by a 7-day exposure to control medium. Paclitaxel resistant MDA-MB-231 cells (MDA-PR) were established within 8 cycles of such treatment (80 days). These MDA-PR cells were then treated with vehicle control, paclitaxel along, or the combination of 30 nM paclitaxel ( 3 days on and 7 days off) and 1 µM Targretin (10 days on) in a new 10-day cycle for 3 months. Thus, there are four treatment groups, parent MDA cells, MDA-PR, MDA-PR treated with paclitaxel, MDA-PR treated with paclitaxel and bexarotene, and each group had four biological replicates.
2011-07-18 | E-GEOD-12791 | biostudies-arrayexpress
Project description:Acquired drug resistance represents a major challenge in chemo-therapy treatment for various types of cancers. We have found that the retinoid X receptor–selective agonist bexarotene (LGD1069, Targretin) was efficacious in treating chemo-resistant cancer cells. The goal of this microarray study was to understand the mechanism of bexarotene’s role in overcoming acquired drug resistance using human breast cancer cells MDA-MB-231 as a model system and paclitaxel as model compound. After MDA-MB-231 cells were repeatedly treated with paclitaxel for 8 cycles with each cycle including a 3-day treatment with 30 nM paclitaxel and followed by a 7-day exposure to control medium, MDA cells resistant to paclitaxel were developed and their growth was no longer inhibited by paclitaxel treatment. Those MDA cells with acquired drug resistance, when treated with paclitaxel and bexarotene in combination, could regain their sensitivity and their growth were again inhibited. Therefore, RNA samples from parental MDA-MB-231 cells, paclitaxel-resistant MDA cells treated with vehicle, paclitaxel alone or in combination with bexarotene, were used for perform global gene expression profiling with Affymetrix HG-U133A gene chips. Keywords: Drug Treatment
2011-07-19 | GSE12791 | GEO
Project description:Glioblastoma multiforme (GBM) is the most aggressive malignant brain tumor. Differentiation can attenuate or block tumor growth; thus, phenotypic screenings were performed to search for drugs inducing differentiational morphological changes in mesenchymal recurrent GBM, a temozolomide (TMZ)-resistant brain cancer. Bexarotene, a selective retinoid X receptor agonist, showed strong inhibition of neurospheroidal colony formation and migration of cultured GBM stem cells. Bexarotene decreased nestin expression and significantly increased GFAP expression. Gene expression changes by bexarotene and all-trans retinoic acid (ATRA), a well-known differentiation inducer, were compared. Both drugs largely altered the gene expression pattern into a tumor-ameliorating direction. These drugs increased the gene expression levels of Krüppel-like factor 9 (KLF9), regulator of G-protein signaling 4 (RGS4), growth differentiation factor 15 (GDF15), angiopoietin-like protein 4 (ANGPTL4), and lowered the level of chemokine receptor type 4 (CXCR4). Both drugs also induced a potential oncogene, transglutaminase 2 (TG2), but the fold-change induced by bexarotene was considerably lesser than that by ATRA. Consistently, the TG2 activity in GBM was elevated several folds by ATRA. Because TG2 upregulation is correlated with tumor transformation and resistance, it is important to control its overexpression. Bexarotene does not upregulate TG2 as much as ATRA, and bexarotene showed in vivo tumoricidal effects in a GBM xenograft mouse model. Thus, these findings strongly suggest that bexarotene is more beneficial than ATRA and should be considered as a differentiation therapeutic agent for mesenchymal GBM.
2014-12-31 | GSE61002 | GEO
Project description:Purpose: Gemcitabine is most commonly used for pancreatic cancer (PC). However, the molecular features and mechanisms of the frequently occurred resistance remain unclear. This work aims at exploring the molecular features of gemcitabine resistance and identifying candidate biomarkers and combinatorial targets for the treatment. Experimental Design: In present study, we established 66 patient-derived xenografts (PDXs) based on clinical PC specimens and treated them with gemcitabine. We generated multi-omics data (including whole exome-seq, RNA-seq, miRNA-seq and DNA methylation array) of 15 drug sensitive and 13 resistant PDXs before and after the gemcitabine treatment. We performed integrative computational analysis to identify the molecular networks related to gemcitabine intrinsic and required resistance. Then, shRNA-based high-content screening was implemented to validate the function of the de-regulated genes. Results: The comprehensive multi-omics analysis and functional experiment revealed that MRPS5 and GSPT1 had strong effects on cell proliferation, and CD55 and DHTKD1 contributed to gemcitabine resistance in PC cells. Moreover, we found miR-135a-5p was significantly associated with the prognosis of PC patients and could be a candidate biomarker to predict gemcitabine response. Comparing the molecular features before and after the treatment, we found that PI3K-Akt, p53, HIF-1 pathways were significantly altered in multiple patients, providing candidate target pathways for reducing the acquired resistance. Conclusions: This integrative genomic study systematically investigated the predictive markers and molecular mechanisms of chemoresistance in pancreatic cancer and provide potential therapy targets for overcoming gemcitabine resistance.
2021-02-09 | GSE165688 | GEO
Project description:Purpose: Gemcitabine is most commonly used for pancreatic cancer (PC). However, the molecular features and mechanisms of the frequently occurred resistance remain unclear. This work aims at exploring the molecular features of gemcitabine resistance and identifying candidate biomarkers and combinatorial targets for the treatment. Experimental Design: In present study, we established 66 patient-derived xenografts (PDXs) based on clinical PC specimens and treated them with gemcitabine. We generated multi-omics data (including whole exome-seq, RNA-seq, miRNA-seq and DNA methylation array) of 15 drug sensitive and 13 resistant PDXs before and after the gemcitabine treatment. We performed integrative computational analysis to identify the molecular networks related to gemcitabine intrinsic and required resistance. Then, shRNA-based high-content screening was implemented to validate the function of the de-regulated genes. Results: The comprehensive multi-omics analysis and functional experiment revealed that MRPS5 and GSPT1 had strong effects on cell proliferation, and CD55 and DHTKD1 contributed to gemcitabine resistance in PC cells. Moreover, we found miR-135a-5p was significantly associated with the prognosis of PC patients and could be a candidate biomarker to predict gemcitabine response. Comparing the molecular features before and after the treatment, we found that PI3K-Akt, p53, HIF-1 pathways were significantly altered in multiple patients, providing candidate target pathways for reducing the acquired resistance. Conclusions: This integrative genomic study systematically investigated the predictive markers and molecular mechanisms of chemoresistance in pancreatic cancer and provide potential therapy targets for overcoming gemcitabine resistance.
2021-02-09 | GSE165687 | GEO
Project description:In order to define the role of the Hexosamine Biosynthetic Pathaway (HBP) in pancreatic cancer cells proliferation, survival and gemcitabine resistance, we treated MiaPaCa2 and BxPC3 cells with FR054, a novel HBP inhbitor, and gemcitabine either alone or in combination for 48h
2023-05-08 | GSE223303 | GEO
Project description:Treatment options for advanced gallbladder cancer (GBC) are scarce and usually rely on cytotoxic chemotherapy, but unfortunately the effectiveness of any regimen is limited, and recurrence rates are high. Here, we established and characterized two gemcitabine-resistant GBC cell sublines (NOZ GemR and TGBC1 GemR) to investigate the molecular mechanisms associated with acquired resistance in vitro. The transcriptome profiling of parental and gemcitabine resistant cells revealed differential expression of multiple protein-coding genes and enrichment of biological processes such as epithelial-to-mesenchymal transition and drug metabolism. On the other hand, quantitative phosphotyrosine proteomic analysis of NOZ GemR identified aberrantly dysregulated signaling pathways in resistant cells as well as active kinases, such as Abl, PDGFRA, EphB2 and members of the Src-family that could be novel therapeutic targets against drug resistance in GBC. In line with this, NOZ GemR cells showed increased sensitivity toward the multikinase inhibitor dasatinib compared with parental cells. In conclusion, our study describes transcriptome changes and altered signaling pathways occurring in gemcitabine-resistant gallbladder cancer cells, which greatly expands our understanding of the underlying mechanisms of acquired drug-resistance in GBC. Moreover, this new gemcitabine resistant GBC models could be exploited either to study alternative mechanisms of resistance or to explore new therapies for chemotherapy-refractory GBC.
2023-05-03 | PXD036348 | Pride
Project description:Zhu2015 - Combined gemcitabine and birinapant
in pancreatic cancer cells - basic PD model
Mathematical model to illustrate the
effectiveness of combination chemotherapy involving gemcitabine and
birinapant against pancreatic cancer.
This model is described in the article:
Mechanism-based mathematical
modeling of combined gemcitabine and birinapant in pancreatic
cancer cells.
Zhu X, Straubinger RM, Jusko
WJ.
J Pharmacokinet Pharmacodyn 2015 Oct;
42(5): 477-496
Abstract:
Combination chemotherapy is standard treatment for
pancreatic cancer. However, current drugs lack efficacy for
most patients, and selection and evaluation of new combination
regimens is empirical and time-consuming. The efficacy of
gemcitabine, a standard-of-care agent, combined with
birinapant, a pro-apoptotic antagonist of Inhibitor of
Apoptosis Proteins (IAPs), was investigated in pancreatic
cancer cells. PANC-1 cells were treated with vehicle,
gemcitabine (6, 10, 20 nM), birinapant (50, 200, 500 nM), and
combinations of the two drugs. Temporal changes in cell
numbers, cell cycle distribution, and apoptosis were measured.
A basic pharmacodynamic (PD) model based on cell numbers, and a
mechanism-based PD model integrating all measurements, were
developed. The basic PD model indicated that synergistic
effects occurred in both cell proliferation and death
processes. The mechanism-based model captured key features of
drug action: temporary cell cycle arrest in S phase induced by
gemcitabine alone, apoptosis induced by birinapant alone, and
prolonged cell cycle arrest and enhanced apoptosis induced by
the combination. A drug interaction term Ψ was employed in
the models to signify interactions of the combination when data
were limited. When more experimental information was utilized,
Ψ values approaching 1 indicated that specific mechanisms
of interactions were captured better. PD modeling identified
the potential benefit of combining gemcitabine and birinapant,
and characterized the key interaction pathways. An optimal
treatment schedule of pretreatment with gemcitabine for 24-48 h
was suggested based on model predictions and was verified
experimentally. This approach provides a generalizable modeling
platform for exploring combinations of cytostatic and cytotoxic
agents in cancer cell culture studies.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000668.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000668 | BioModels
Project description:Zhu2015 - combined gemcitabine and birinapant
in pancreatic cancer cells - mechanistic PD model
Mechanistic mathematical model to
illustrate the effectiveness of combination chemotherapy involving
gemcitabine and birinapant against pancreatic cancer.
This model is described in the article:
Mechanism-based mathematical
modeling of combined gemcitabine and birinapant in pancreatic
cancer cells.
Zhu X, Straubinger RM, Jusko
WJ.
J Pharmacokinet Pharmacodyn 2015 Oct;
42(5): 477-496
Abstract:
Combination chemotherapy is standard treatment for
pancreatic cancer. However, current drugs lack efficacy for
most patients, and selection and evaluation of new combination
regimens is empirical and time-consuming. The efficacy of
gemcitabine, a standard-of-care agent, combined with
birinapant, a pro-apoptotic antagonist of Inhibitor of
Apoptosis Proteins (IAPs), was investigated in pancreatic
cancer cells. PANC-1 cells were treated with vehicle,
gemcitabine (6, 10, 20 nM), birinapant (50, 200, 500 nM), and
combinations of the two drugs. Temporal changes in cell
numbers, cell cycle distribution, and apoptosis were measured.
A basic pharmacodynamic (PD) model based on cell numbers, and a
mechanism-based PD model integrating all measurements, were
developed. The basic PD model indicated that synergistic
effects occurred in both cell proliferation and death
processes. The mechanism-based model captured key features of
drug action: temporary cell cycle arrest in S phase induced by
gemcitabine alone, apoptosis induced by birinapant alone, and
prolonged cell cycle arrest and enhanced apoptosis induced by
the combination. A drug interaction term Ψ was employed in
the models to signify interactions of the combination when data
were limited. When more experimental information was utilized,
Ψ values approaching 1 indicated that specific mechanisms
of interactions were captured better. PD modeling identified
the potential benefit of combining gemcitabine and birinapant,
and characterized the key interaction pathways. An optimal
treatment schedule of pretreatment with gemcitabine for 24-48 h
was suggested based on model predictions and was verified
experimentally. This approach provides a generalizable modeling
platform for exploring combinations of cytostatic and cytotoxic
agents in cancer cell culture studies.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000669.
To cite BioModels Database, please use:
Chelliah V et al. BioModels: ten-year
anniversary. Nucl. Acids Res. 2015, 43(Database
issue):D542-8.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000669 | BioModels
Project description:Pancreatic ductal adenocarcinoma (PDAC) has a characteristically dense stroma comprised predominantly of cancer associated fibroblasts (CAFs). CAFs promote tumor growth, metastasis and treatment resistance. We aimed to investigate the molecular changes and functional consequences associated with chemotherapy treatment of PDAC CAFs. Chemoresistant immortalized CAFs (R-CAFs) were generated by continuous incubation in 100nM gemcitabine. Gene expression differences between treatment naïve CAFs (N-CAFs) and R-CAFs were compared by array analysis. Immortalized human pancreatic CAFs were grown for 30 days in either control media or media containing 100nM gemcitabine. RNA was then isolated and hybidized on U133 Plus 2.0 Affymetrix arrays.
2016-03-09 | E-GEOD-78982 | biostudies-arrayexpress