Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Specific kinesin expression profiles associated with taxane resistance in breast cancer

ABSTRACT: Purpose: Breast cancer is a genetically heterogenous disease with subtypes differing in prognosis and chemosensitivity. The basal-like breast cancer (BLBC) molecular subtype is associated with poorer outcomes, but is more responsive to taxane-based chemotherapy. We evaluated the role of kinesins, motor proteins interacting with microtubules, in influencing taxane resistance. Experimental Design: Kinesin (KIF) expression was studied in one local dataset comprising all taxane resistant breast cancers in relation to taxane resistance. Data in the NCI-60 cell line dataset (GSE5846) nd the MDACC dataset (GSE20194) is separately detailed. Results: In the local dataset, the kinesin KIF26B is overexpressed in taxane-resistant residual breast cancers post-chemotherapy. Conclusions: We show that kinesin overexpression correlates with taxane resistance in BLBC cell lines and tissue. Our results suggest a potential approach to overcoming taxane resistance through concurrent or sequential use of kinesin inhibitors, highlighting the ATP-binding domain as a drug development target.

ORGANISM(S): Homo sapiens

PROVIDER: GSE22796 | GEO | 2012/12/01

SECONDARY ACCESSION(S): PRJNA127821

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Specific kinesin expression profiles associated with taxane resistance in breast cancer

Project description:Purpose: Breast cancer is a genetically heterogenous disease with subtypes differing in prognosis and chemosensitivity. The basal-like breast cancer (BLBC) molecular subtype is associated with poorer outcomes, but is more responsive to taxane-based chemotherapy. We evaluated the role of kinesins, motor proteins interacting with microtubules, in influencing taxane resistance. Experimental Design: Kinesin (KIF) expression was studied in one local dataset comprising all taxane resistant breast cancers in relation to taxane resistance. Data in the NCI-60 cell line dataset (GSE5846) nd the MDACC dataset (GSE20194) is separately detailed. Results: In the local dataset, the kinesin KIF26B is overexpressed in taxane-resistant residual breast cancers post-chemotherapy. Conclusions: We show that kinesin overexpression correlates with taxane resistance in BLBC cell lines and tissue. Our results suggest a potential approach to overcoming taxane resistance through concurrent or sequential use of kinesin inhibitors, highlighting the ATP-binding domain as a drug development target. Kinesin (KIF) expression was studied in one local dataset comprising all taxane resistant breast cancers in relation to taxane resistance. Data in the NCI-60 cell line dataset (GSE5846) and the MDACC dataset (GSE20194) is separately detailed.

2012-12-01 | E-GEOD-22796 | biostudies-arrayexpress

Homo sapiens

Project description:Specific kinesin expression profiles associated with taxane resistance in breast cancer

| PRJNA127821 | ENA

Gene expression data of sensitive, Docetaxel resistant and Paclitaxel resistant MDA-MB-231 Cells

Project description:The taxanes, namely Paclitaxel and Docetaxel, are important and widely used cancer chemotherapy drugs in the treatment of invasive and metastatic human breast cancer. Although treatment with the taxanes is beneficial to many patients, drug-responsive tumors in patients with metastatic breast cancer often display resistance to these drugs, either initially or over time following the continued administration of chemotherapy drugs. To investigate the patterns of cross-resistance with the taxane drugs and to identify potential mechanisms of resistance, we generated a series of MDA-MB-231 taxane resistant cell lines. We then used microarrays to determine gene expression differences between sensitive, Docetaxel and Paclitaxel resistant MDA-MB-231 cells.

2011-04-22 | GSE28784 | GEO

Gene expression data of sensitive, Docetaxel resistant and Paclitaxel resistant MDA-MB-231 Cells

2011-04-22 | E-GEOD-28784 | biostudies-arrayexpress

Genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer

Project description:This SuperSeries is composed of the following subset Series: GSE25055: Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer GSE25065: Validation cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer Refer to individual Series

2011-05-11 | E-GEOD-25066 | biostudies-arrayexpress

Identifying Predictors Of Taxane-Induced Peripheral Neuropathy Using Mass Spectrometry-based Proteomics Technology

Project description:In this study, we evaluated the association between protein content in serum exosomes and severity of CIPN. Women with early stage breast cancer receiving adjuvant taxane chemotherapy were assessed with the FACT-Ntx score and serum was collected before and after the taxane treatment.

2015-10-20 | MSV000079352 | MassIVE

Targeting Taxane-Platin Resistant Lung Cancers with JumonjiC Lysine Demethylase Inhibitors

Project description:While taxane-platin standard chemotherapy provides benefit in advanced and localized non-small cell lung cancer (NSCLC), the majority of patients relapse with drug resistant tumors. Mechanisms underlying NSCLC resistance to this standard doublet chemotherapy are still not fully understood, and treatment options for chemoresistant lung tumors are limited. The goals of this work were to establish new preclinical NSCLC models of resistance to taxane-platin doublet chemotherapy, identify mechanisms of resistance, and develop new rational pharmacologic approaches to target drug resistant NSCLCs.

2016-12-31 | GSE77209 | GEO

Validation cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer

Project description:PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer. METHODS: We developed a microarray-based gene expression test from pre-treatment tumor biopsies (310 patients) to predict favorable outcome based on estrogen receptor (ER) status,pathologic response to chemotherapy, 3-year disease outcomes, and sensitivity to endocrine therapy. Tumors were classified as treatment-sensitive if predicted to have pathologic response (and not resistance) to chemotherapy, or sensitive to endocrine therapy. We tested predictive accuracy, with 95% confidence interval (CI), for pathologic response (PPV, positive predictive value), distant relapse-free survival (DRFS), and absolute risk reduction at median follow-up in 198 other patients. Independence from clinical-pathologic factors was assessed in a multivariate Cox regression analysis based on the likelihood ratio test. Other evaluable, published response predictors (genomic grade index (GGI), intrinsic subtype (PAM50), pCR predictor (DLDA30)) were compared. Neoadjuvant validation cohort of 198 HER2-negative breast cancer cases treated with taxane-anthracycline chemotherapy pre-operatively and endocrine therapy if ER-positive. Response was assessed at the end of neoadjuvant treatment and distant-relapse-free survival was followed for at least 3 years post-surgery.

2011-05-11 | E-GEOD-25065 | biostudies-arrayexpress

Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer

Project description:PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer. METHODS: We developed a microarray-based gene expression test from pre-treatment tumor biopsies (310 patients) to predict favorable outcome based on estrogen receptor (ER) status,pathologic response to chemotherapy, 3-year disease outcomes, and sensitivity to endocrine therapy. Tumors were classified as treatment-sensitive if predicted to have pathologic response (and not resistance) to chemotherapy, or sensitive to endocrine therapy. We tested predictive accuracy, with 95% confidence interval (CI), for pathologic response (PPV, positive predictive value), distant relapse-free survival (DRFS), and absolute risk reduction at median follow-up in 198 other patients. Independence from clinical-pathologic factors was assessed in a multivariate Cox regression analysis based on the likelihood ratio test. Other evaluable, published response predictors (genomic grade index (GGI), intrinsic subtype (PAM50), pCR predictor (DLDA30)) were compared. Neoadjuvant study of 310 HER2-negative breast cancer cases treated with taxane-anthracycline chemotherapy pre-operatively and endocrine therapy if ER-positive. Response was assessed at the end of neoadjuvant treatment and distant-relapse-free survival was followed for at least 3 years post-surgery.

2011-05-11 | E-GEOD-25055 | biostudies-arrayexpress

Characterization of the Chemotherapy-treated PyMT Matrisome

Project description:Cytotoxic chemotherapy is used to treat many thousands of patients across many cancer types annually. Recent studies have demonstrated that chemotherapy causes systemic response that can be exploited to promote cancer cell survival and dissemination, termed “chemotherapy-induced metastasis. However, there have been no studies investigating how chemotherapy alters the extracellular matrix of breast tumors, or if those changes might help to support metastatic dissemination. Here, we report the first characterization of the chemotherapy-treated breast cancer matrisome using the MMTV-PyMT transgenic mouse model of breast cancer. We identify distinct changes induced by different cytotoxic chemotherapies. In particular, we identify collagen IV as significantly associated with taxane-based chemotherapy treatment. Biological validation confirmed collagen IV as chemotherapy-associated and identified collagen IV-driven Src and FAK signaling as important mediators of invasion in the post-chemotherapy tumor microenvironment.

2022-03-14 | PXD032002 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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