MicroRNA microarray identifies Let-7i as a novel biomarker and therapeutic target in human epithelial ovarian cancer. - Wikidata - awgldk - TriplyDB

MicroRNA microarray identifies Let-7i as a novel biomarker and therapeutic target in human epithelial ovarian cancer.

MicroRNA microarray identifies Let-7i as a novel biomarker and therapeutic target in human epithelial ovarian cancer.

http://www.wikidata.org/entity/Q37388413

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Overexpression of Cancer-Associated Genes via Epigenetic Derepression Mechanisms in Gynecologic Cancer Centrosome-associated regulators of the G(2)/M checkpoint as targets for cancer therapy Clinical outcome prediction by microRNAs in human cancer: a systematic review Therapeutic microRNA strategies in human cancer An overview of long non-coding RNAs in ovarian cancers Genetic and epigenetic heterogeneity of epithelial ovarian cancer and the clinical implications for molecular targeted therapy Role of microRNAs in chemoresistance Phytochemicals modulate carcinogenic signaling pathways in breast and hormone-related cancers MicroRNA: a new and promising potential biomarker for diagnosis and prognosis of ovarian cancer Application of microRNA in diagnosis and treatment of ovarian cancer Small non-coding RNAs govern mammary gland tumorigenesis An Empirical Evaluation of Normalization Methods for MicroRNA Arrays in a Liposarcoma Study Telomere shortening sensitizes cancer cells to selected cytotoxic agents: in vitro and in vivo studies and putative mechanisms The noncoding RNA expression profile and the effect of lncRNA AK126698 on cisplatin resistance in non-small-cell lung cancer cell Reduced Let-7a Is Associated with Chemoresistance in Primary Breast Cancer MicroRNA and Long Non-Coding RNA in Ovarian Carcinoma: Translational Insights and Potential Clinical Applications.Improved Human Bone Marrow Mesenchymal Stem Cell Osteogenesis in 3D Bioprinted Tissue Scaffolds with Low Intensity Pulsed Ultrasound Stimulation.Reproducibility of quantitative RT-PCR array in miRNA expression profiling and comparison with microarray analysis.MicroRNA let-7a inhibits proliferation of human prostate cancer cells in vitro and in vivo by targeting E2F2 and CCND2.Regulation of microRNA biosynthesis and expression in 2102Ep embryonal carcinoma stem cells is mirrored in ovarian serous adenocarcinoma patients.Epigenetic control of autophagy by microRNAs in ovarian cancer A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer Prognostic and predictive biomarkers: tools in personalized oncology.The VHL-dependent regulation of microRNAs in renal cancer.Approaches and genetic determinants in predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer MicroRNA-mRNA functional pairs for cisplatin resistance in ovarian cancer cells.MicroRNAs in ovarian carcinomas miRNAs in human cancer.Molecular mechanisms of acquired resistance to tyrosine kinase targeted therapy Resistance to cancer chemotherapeutic drugs is determined by pivotal microRNA regulators.Joint analysis of transcriptional and post- transcriptional brain tumor data: searching for emergent properties of cellular systems Multiple E2F-induced microRNAs prevent replicative stress in response to mitogenic signaling.Implication of microRNAs in drug resistance for designing novel cancer therapy High-performance quantification of mature microRNAs by real-time RT-PCR using deoxyuridine-incorporated oligonucleotides and hemi-nested primers Differences in the properties and mirna expression profiles between side populations from hepatic cancer cells and normal liver cells.Repertoire of porcine microRNAs in adult ovary and testis by deep sequencing.miRNA signature associated with outcome of gastric cancer patients following chemotherapy.Prognostic biomarkers in ovarian cancer.Targeting microRNAs in cancer: rationale, strategies and challenges.MicroRNA expression profiling of oral carcinoma identifies new markers of tumor progression.

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MicroRNA microarray identifies Let-7i as a novel biomarker and therapeutic target in human epithelial ovarian cancer.

http://www.wikidata.org/entity/Q37388413

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article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on December 2008

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

MicroRNA microarray identifies ...... man epithelial ovarian cancer.

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MicroRNA microarray identifies ...... man epithelial ovarian cancer.

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type

label

MicroRNA microarray identifies ...... man epithelial ovarian cancer.

@en

MicroRNA microarray identifies ...... man epithelial ovarian cancer.

@nl

prefLabel

MicroRNA microarray identifies ...... man epithelial ovarian cancer.

@en

MicroRNA microarray identifies ...... man epithelial ovarian cancer.

@nl

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0008-5472.CAN-08-1954

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Cancer Research

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MicroRNA microarray identifies ...... man epithelial ovarian cancer.

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Arto Leminen

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Barbara L Weber

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Cameron N Johnstone

http://www.w3.org/2001/XMLSchema#string

Chang-Gong Liu

http://www.w3.org/2001/XMLSchema#string

Dionyssios Katsaros

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George Adrian Calin

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Joel Greshock

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Kosei Hasegawa

http://www.w3.org/2001/XMLSchema#string

Lin Zhang

http://www.w3.org/2001/XMLSchema#string

Lori Smith

http://www.w3.org/2001/XMLSchema#string

P2860

Potential role of miR-9 and miR-223 in recurrent ovarian cancer

microRNAs exhibit high frequency genomic alterations in human cancer

Suppression of non-small cell lung tumor development by the let-7 microRNA family

Disrupting the pairing between let-7 and Hmga2 enhances oncogenic transformation

Therapeutic application of RNAi: is mRNA targeting finally ready for prime time?

Extensive post-transcriptional regulation of microRNAs and its implications for cancer

Let-7 expression defines two differentiation stages of cancer

The tumor suppressor microRNA let-7 represses the HMGA2 oncogene.

Combinatorial microRNA target predictions

RAS is regulated by the let-7 microRNA family

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10307-10314

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scholarly article

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10.1158/0008-5472.CAN-08-1954

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24

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Stefano Volinia

Carlo Maria Croce

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2008-12-01T00:00:00Z

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23655797

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