Microarray-based gene expression studies in ovarian cancer

scientific article published on January 2011

Microarray-based gene expression studies in ovarian cancer is …
instance of (P31):
review articleQ7318358
scholarly articleQ13442814

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P356DOI10.1177/107327481101800102
P698PubMed publication ID21273975

P2093author name stringJohnathan M Lancaster
Hye Sook Chon
P2860cites workOverexpression of kallikrein 10 in epithelial ovarian carcinomasQ44487914
Influence of surgery and postoperative therapy and tumor characteristics on patient prognosis in advanced ovarian carcinomasQ44641810
Potential benefit of Sunitinib in recurrent and refractory ovarian clear cell adenocarcinomaQ46849137
Analysis of gene expression in stage I serous tumors identifies critical pathways altered in ovarian cancerQ47896747
Mutation of ERBB2 provides a novel alternative mechanism for the ubiquitous activation of RAS-MAPK in ovarian serous low malignant potential tumors.Q50613227
Prediction of chemotherapeutic response in ovarian cancer with DNA microarray expression profiling.Q50992026
An integrated clinical-genomics approach identifies a candidate multi-analyte blood test for serous ovarian carcinoma.Q51924460
Expression profiling of serous low malignant potential, low-grade, and high-grade tumors of the ovary.Q53609842
Patterns of gene expression that characterize long-term survival in advanced stage serous ovarian cancers.Q53856733
Unique gene expression profile based on pathologic response in epithelial ovarian cancer.Q53993369
Light-generated oligonucleotide arrays for rapid DNA sequence analysisQ24563041
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurementsQ24597089
Identification of interferon-modulated proliferation-related cDNA sequencesQ24632292
Gene expression patterns in ovarian carcinomasQ24644996
Yeast microarrays for genome wide parallel genetic and gene expression analysisQ24657389
Cancer statistics, 2010Q27860525
Minimum information about a microarray experiment (MIAME)-toward standards for microarray dataQ27860569
Molecular classification of cancer: class discovery and class prediction by gene expression monitoringQ27861072
Clinical applications of microarray technology: creatine kinase B is an up-regulated gene in epithelial ovarian cancer and shows promise as a serum markerQ31135269
Molecular profiling of platinum resistant ovarian cancer.Q33227163
Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcomeQ33359495
Serum protein markers for early detection of ovarian cancerQ33836343
Gene expression in fixed tissues and outcome in hepatocellular carcinoma.Q34235518
Recent advances in the treatment of epithelial ovarian cancerQ34481727
Genomic signatures to guide the use of chemotherapeutics.Q34576027
Microarray analysis of early stage serous ovarian cancers shows profiles predictive of favorable outcomeQ34632529
Ovarian cancer: progress and continuing controversies in managementQ34783604
Organ-specific molecular classification of primary lung, colon, and ovarian adenocarcinomas using gene expression profilesQ35746921
Diverse tumorigenic pathways in ovarian serous carcinomaQ35789009
Identification of genes associated with platinum drug sensitivity and resistance in human ovarian cancer cellsQ36616527
Fabrication of DNA microarray.Q37453216
A novel, high-performance random array platform for quantitative gene expression profilingQ37600602
Gene expression patterns that characterize advanced stage serous ovarian cancersQ38346270
Osteopontin as a potential diagnostic biomarker for ovarian cancerQ38457189
An integrated genomic-based approach to individualized treatment of patients with advanced-stage ovarian cancer.Q40172885
Gene expression profiles associated with response to chemotherapy in epithelial ovarian cancersQ40391221
Distinction between serous tumors of low malignant potential and serous carcinomas based on global mRNA expression profilingQ40444417
Prostasin, a potential serum marker for ovarian cancer: identification through microarray technologyQ43754824
P433issue1
P921main subjectovarian cancerQ172341
P304page(s)8-15
P577publication date2011-01-01
P1433published inCancer ControlQ15724614
P1476titleMicroarray-based gene expression studies in ovarian cancer
P478volume18

Reverse relations

cites work (P2860)
Q92629419A Nutrigenomics Approach Using RNA Sequencing Technology to Study Nutrient-Gene Interactions in Agricultural Animals
Q37720579Ambivalent role of pFAK-Y397 in serous ovarian cancer--a study of the OVCAD consortium
Q38465175An integrated analysis of the effects of microRNA and mRNA on esophageal squamous cell carcinoma
Q38087982Biomarkers for early detection of ovarian cancer
Q37507405Choline kinase-alpha by regulating cell aggressiveness and drug sensitivity is a potential druggable target for ovarian cancer.
Q26859166Comparative meta-analysis of prognostic gene signatures for late-stage ovarian cancer
Q37522638Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study
Q36380325High-prevalence and broad spectrum of Cell Adhesion and Extracellular Matrix gene pathway mutations in epithelial ovarian cancer
Q30783271How to get the most from microarray data: advice from reverse genomics
Q59811500Identification and validation of potential prognostic and predictive miRNAs of epithelial ovarian cancer
Q35764376Identification of a chrXq27.3 microRNA cluster associated with early relapse in advanced stage ovarian cancer patients
Q35628524Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer
Q30882404Integrative network analysis of TCGA data for ovarian cancer
Q30775752MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data
Q33977915Next-generation sequencing and microarray-based interrogation of microRNAs from formalin-fixed, paraffin-embedded tissue: preliminary assessment of cross-platform concordance
Q35837949Optimizing molecular-targeted therapies in ovarian cancer: the renewed surge of interest in ovarian cancer biomarkers and cell signaling pathways
Q89304970RNA Sequencing of Carboplatin- and Paclitaxel-Resistant Endometrial Cancer Cells Reveals New Stratification Markers and Molecular Targets for Cancer Treatment
Q30584281StRAP: an integrated resource for profiling high-throughput cancer genomic data from stress response studies
Q34243648Transcriptional profiling of formalin fixed paraffin embedded tissue: pitfalls and recommendations for identifying biologically relevant changes
Q61853673Validating the impact of a molecular subtype in ovarian cancer on outcomes: A study of the OVCAD Consortium
Q34431079ZNF385B and VEGFA are strongly differentially expressed in serous ovarian carcinomas and correlate with survival

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