Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profile of MX-1 breast cancer cell line and chemoresistant sublines of them

ABSTRACT: Breast cancer is a leading cause of cancer-related deaths among women in the Western world. Anthracyclines, including doxorubicin (DOX), along with taxanes, cyclophosphamide and platinum compounds are the main chemotherapeutic agents applied for breast cancer treatment. However, chemoresistance is the major cause of the disease progression following chemotherapy. Drug resistance can be either inherent or acquired during the treatment, but most possibly the interaction of both mechanisms drives the rapid development of treatment refractory cancer. In the present study, the mechanisms of acquired cellular chemoresistance were studied in breast cancer cell line MX-1 exposed to gradually increasing concentration of the chemotherapeutic compound DOX (MX-1/D). Nongenotoxic phosphorganic compound tetraphenylphosphonium cation (TPP+) – a potent substrate and activator for ABCB1 transporter – was used in the cell line model of intrinsic chemoresistance (MX-1/T). Finally, DOX highly resistant cell subline was derived from ABCB1-activated, TPP+ pretreated cells (MX-1/TD). Chemoresistance in all cell sublines was closely associated with the EMT, and the ABCB1 hyperexpression was a possibly trigger of this process.

ORGANISM(S): Homo sapiens

PROVIDER: GSE163986 | GEO | 2020/12/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Tepoxalin increases chemotherapy efficacy in drug-resistant breast cancer cells overexpressing the multidrug transporter gene ABCB1

Project description:Efficacious cancer chemotherapeutic treatment requires both therapy delivery and retention by malignant cells. Cancer cell overexpression of the multidrug transmembrane transporter gene ABCB1 thwarts therapy retention, leading to a drug-resistant phenotype. We explored the phenotypic impact of ABCB1 overexpression in normal human mammary epithelial cells (HMECs) via acute adenoviral delivery and in breast cancer cell lines with stable integration of inducible ABCB1 expression. One hundred sixty-two genes were differentially expressed between ABCB1-expressing and GFP-expressing HMECs, including the gene encoding the cyclooxygenase-2 protein, PTGS2. Several breast cancer cell lines with inducible ABCB1 expression demonstrated sensitivity to the 5-lipoxygenase, cyclooxygenase-1/2 inhibitor tepoxalin in two-dimensional drug response assays, and combination treatment of tepoxalin either with chemotherapies or with histone deacetylase (HDAC) inhibitors improved therapeutic efficacy in these lines. Moreover, selection for the ABCB1-expressing cell population was reduced in three-dimensional co-cultures of ABCB1-expressing and GFP-expressing cells when chemotherapy was given in combination with tepoxalin. Further study is warranted to ascertain the clinical potential of tepoxalin, an FDA-approved therapeutic for use in domesticated mammals, to restore chemosensitivity and improve drug response in patients with ABCB1-overexpressing drug-resistant breast cancers.

2021-08-04 | GSE173411 | GEO

The The Secretome of Human Neonatal Mesenchymal Stem Cells Modulates Doxorubicin-induced CytotoxicitySecretome of Human Neonatal Mesenchymal Stem Cells Modulates Doxorubicin-induced Cytotoxicity

Project description:Breast cancer remains one of the leading causes of death in women, being the chemotherapeutic agent doxorubicin (Dox) among the most widely standard chemotherapy options for its treatment. However, its effective use has been severely limited owing to its well-documented cardiotoxic side effect that can lead to heart failure in a subset of patients. We have previously shown that a specific population of mesenchymal stem cells (MSCs) present immunomodulatory and regenerative properties, mainly granted by its secretome (CM), whose potential was improved when produced under 3D conditions. In cancer, the role of MSCs is still contradictory, with literature reporting both cancer promoting and suppressive effects. Therefore, we aimed at determining the effect of concomitant exposure of Dox with CM from 3D (CM3D) and 2D (CM2D) MSC cultures in breast cancer cells (MDA-MB-231) and in non-tumour breast epithelial cells (MCF10A) and differentiated AC16 cardiomyocytes. As such, the whole secretome was obtained by collecting and concentrating the culture media conditioned by MSCs in 2D (CM2D) and 3D (CM3D). A Ge-LC-MS/MS proteomic analysis revealed that CM3D effects may be linked to MSC cytoprotection and tumour development, namely through regulation of cell proliferation (CAPN1, CST1, LAMC2, RANBP3), migration (CCN3, MMP-8, PDCD5), invasion (TIMP-1/2), oxidative stress (AIFM1, CD9, GSR) and inflammation (ANXA5, CDH13, GDF-15). Overall, MSC-derived CM3D decreased Dox-induced cytotoxic effects on non-tumour breast cells and cardiomyocytes, without compromising Dox chemotherapeutic nature, highlighting the potential use of CM3D as an adjuvant in chemotherapy to reduce off-target side effects.

2023-03-11 | PXD025633 | Pride

The Secretome of Human Neonatal Mesenchymal Stem Cells Modulates Doxorubicin-induced Cytotoxicity: Impact in Non-tumour Cells

2022-02-17 | PXD029795 | Pride

Transcriptome analysis of doxorubicin-treated MCF7 breat cancer cells

Project description:Doxorubicin (DOX) is the most common chemotherapeutic drug used to treat breast cancer(BC), impairing DNA metabolism. We discovered that this drug induces, in breast cancer cells, the selective degradation of mitochondria suggesting that mitophagy could be a pro-survival path induced by DOX, hence favoring drug resistance. We anticipated that BC cells may avoid the effect of drug treatment by enhancing their mitophagy activity. Our goal was here to identify a novel relationship between mitophagy gene expressions and drug resistance in BC cells. This microarray analysis of MCF7 cells was performed to demonstrate a direct modulation of genes encoding key proteins regulating the mitophagy pathway in the cells treated with DOX compared to untreated control cells.

2024-03-27 | GSE244574 | GEO

Role of SIPA1 in chemotherapy resistance in breast cancer cells

Project description:SIPA1 is a potential transcriptional modulator of tumor metastasis and recurrence. Here we showed that the breast cancer patients with higher SIPA1 expression have a higher relapse rate and worse prognosis, especially for triple-negative breast cancer (TNBC) patients. Moreover, SIPA1 expression was found positively correlated with relapse of breast cancer patients receiving adjuvant chemotherapy. In a TNBC cell line MDA-MB-231, we identified the possible tumorigenesis and metastasis processes regulated by SIPA1, and demonstrated that SIPA1 promoted cancer stem-like feature to form tumourspheres. Tumoursphere-formed MDA-MB-231 cells were shown to be resistant to epirubicin. Then we confirmed that SIPA1 could particularly activate the CD44 promoter and upregulate CD44 expression. Furthermore, SIPA1 could promote ABCB1 expression and strengthen chemoresistance of MDA-MB-231 cells to epirubicin. In conclusion, SIPA1 is a risk factor for highly-relapse in TNBC patients and a transcriptional regulator to maintain cancer stem-like features and promote chemoresistance in breast cancer cells.

2018-12-25 | GSE124344 | GEO

Gene expression profiles of human breast cancer cell lines

Project description:Numerous epithelial-to-mesenchymal transition (EMT)-promoting transcription factors have been implicated in tumorigenesis or metastasis, as well as chemoresistance of cancer. However, the underlying mechanism mediating these processes is unclear. Here we report that Foxq1, a forkhead box-containing transcription factor and EMT-inducing gene, promotes stemness traits and chemoresistance in mammary epithelial cells. We identify Twist1, Zeb2, and PDGFRM-NM-1 and M-NM-2 as Foxq1 downstream targets using an expression profiling assay. Further studies reveal that PDGFRM-NM-1 and M-NM-2 can be directly regulated by Foxq1, or indirectly through Twist1. Knockdown of both PDGFRM-NM-1 and M-NM-2 shows more significant effects on reversing Foxq1-promoted oncogenesis in vitro and in vivo than knockdown by either PDGFRM-NM-1 or M-NM-2 alone. PDGFRM-NM-2, but not PDGFRM-NM-1, shows potent effects in reversing Foxq1-promoted stemness traits. Moreover, pharmacological inhibition or gene silencing of PDGFRs sensitize mammary epithelial cells to chemotherapeutic agents in vitro and in vivo. These findings collectively indicate PDGFRs as critical mediators underlying breast cancer tumorigenesis and chemoresistance driven by EMT promoting genes, which have potential clinical implications for cancer therapy. The purpose of these experiments is to investigate the downstream targets of several transcriptional factors including Foxq1 and IRX5. Another purpose is to compare the expression pattern between basal-like breast cancer cells including MDA-MB231, SUM159 and SUM1315.

2013-05-11 | E-GEOD-46834 | biostudies-arrayexpress

Expression data from MCF-7 and MCF-7/ADR cells

Project description:Chemoresistance in breast cancer has been a great interest in past studies, however, the development of rational therapeutic strategies targeting chemoresistant cells is still a challenge for clinical oncology.The resistant property of MCF7/ADR cells was confirmed by long term culture with Dox, cell viability, and PARP cleavage assays. Microarray analysis was performed to compare the global differences of gene expression between MCF-7 and MCF-7/ADR cells.

2016-01-05 | GSE76540 | GEO

Expression data from MDA-MB-231 cells exposed to hypoxia and/or paclitaxel or epirubicin

2012-07-03 | GSE39042 | GEO

Expression data from MDA-MB-231 cells exposed to hypoxia and/or paclitaxel or epirubicin

Project description:Hypoxia protects cancer cells from chemotherapeutic drug-induced cell death. We used microarrays to detail the changes in gene expression underlying hypoxia-induced chemoresistance in cancer cells. MDA-MB-231 were exposed to paclitaxel or epirubicin under normoxia or hypoxia for 16hours, then RNA was extracted and analyzed by Affymetrix arrays

2012-07-02 | E-GEOD-39042 | biostudies-arrayexpress

IL-17A increases doxorubicin efficacy in triple negative breast cancer [single-cell RNA-seq]

Project description:Due to lack of targetable receptors and intertumoral heterogeneity, triple negative breast cancer (TNBC) remains particularly difficult to treat. Doxorubicin (DOX) is typically used as nonselective neoadjuvant chemotherapy, but the diversity of treatment efficacy remains unclear. Comparable to variability in clinical response, an experimental model of TNBC using a 4T1 syngeneic mouse model was found to elicit a differential response to a seven-day treatment regimen of DOX. Single-cell RNA sequencing identified an increase in T cells in tumors that responded to DOX treatment compared to tumors that continued to grow uninhibited. Additionally, compared to resistant tumors, DOX sensitive tumors contained significantly more CD4 T helper cells (339%), γδ T cells (727%), Naïve T cells (278%), and activated CD8 T cells (130%). Furthermore, transcriptional profiles of tumor infiltrated T cells in DOX responsive tumors revealed decreased exhaustion, increased chemokine/cytokine expression, and increased activation and cytotoxic activity. γδ T cell derived IL-17A was identified to be highly abundant in the sensitive tumor microenvironment. IL-17A was also found to directly increase sensitivity of TNBC cells in combination with DOX treatment. In TNBC tumors sensitive to DOX, increased IL-17A levels lead to a direct effect on cancer cell responsiveness and chronic stimulation of tumor infiltrated T cells leading to improved chemotherapeutic efficacy. IL-17A's role as a chemosensitive cytokine in TNBC may offer new opportunities for treating chemoresistant breast tumors and other cancer types.

2022-06-08 | GSE205551 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data