Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA127821 | ENA |
REPOSITORIES: ENA
Similar Datasets
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
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.
2012-12-01 | GSE22796 | GEO
Project description:Human breast cancer associated fibroblasts exhibit subtype specific gene expression profiles
| PRJNA162563 | ENA
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
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
2014-12-02 | GSE63741 | GEO
Project description:To elucidate candidate genes and pathways associated with poor response, we retrospectively analyzed gene expression profiles in serial biopsies from women with locally advanced breast cancer who failed to respond to anthracycline-based chemo followed by taxane in the I-SPY
2015-06-12 | GSE32603 | GEO
Project description:Serum microRNAs profiles of HER2 positive advanced breast cancer patients and their treatment response after the trastuzumab/pertuzumab/taxane therapy
2022-11-04 | GSE122426 | GEO
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. RNA isolated from three independent passages of sensitive, Docetaxel and Paclitaxel resistant cell lines and purified using the Qiagen RNeasy Mini Kit. Total RNA was processed and hybridized to Affymetrix Genechip HU133A arrays.
2011-04-22 | E-GEOD-28784 | biostudies-arrayexpress
Project description:Prediction of breast cancer pathological complete response to anthracycline/taxane chemotherapy.
| PRJNA99107 | ENA