Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
about
Unsupervised analysis reveals two molecular subgroups of serous ovarian cancer with distinct gene expression profiles and survival.Targeting the SR-B1 Receptor as a Gateway for Cancer Therapy and ImagingPanel of seven long noncoding RNA as a candidate prognostic biomarker for ovarian cancer.Adenocarcinoma of Mullerian origin: review of pathogenesis, molecular biology, and emerging treatment paradigms.Prediction of resistance to chemotherapy in ovarian cancer: a systematic review.Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome.Editorial: Advances in Epithelial Ovarian Cancer: Model Systems, Microenvironmental Influences, Therapy, and OriginsCOL11A1 confers chemoresistance on ovarian cancer cells through the activation of Akt/c/EBPβ pathway and PDK1 stabilizationDifferential distribution improves gene selection stability and has competitive classification performance for patient survival.The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer.The oncogenic triangle of HMGA2, LIN28B and IGF2BP1 antagonizes tumor-suppressive actions of the let-7 family.High mRNA expression level of IL-6R was associated with better prognosis for patients with ovarian cancer: a pooled meta-analysis.IPI59: An Actionable Biomarker to Improve Treatment Response in Serous Ovarian Carcinoma PatientsActivation of TWIST1 by COL11A1 promotes chemoresistance and inhibits apoptosis in ovarian cancer cells by modulating NF-κB-mediated IKKβ expression.Advances in ovarian cancer therapy.Expression of thrombospondin-1 by tumor cells in patient-derived ovarian carcinoma xenografts.Transcriptome-based signature predicts the effect of taxol in serous ovarian cancer.Curated compendium of human transcriptional biomarker data.
P2860
Q27320720-2DE4DC40-4733-496A-915C-8DDAD3E1BFC1Q28070244-715A1345-4251-4ED4-A909-F36470AEED09Q33783847-35F8B968-CAF8-4882-AED5-014BD081AE8EQ34528553-A97D43E0-DBB8-467D-AEA4-F3A3349FA770Q35212386-37DF299A-0993-4425-842D-50CA00D191F6Q35906593-F413D071-A5D0-4EF2-B47F-13EACB055EF5Q36097633-2ADECCE1-C29C-4E1D-AA89-61FD55A07E85Q36414284-E4B54293-804B-4BB4-B003-9B3799CAC8F2Q37623763-DC4E8ACF-2781-40A4-8B82-6A21D58B1CBDQ38635932-377741A1-89C1-4EB2-BAF7-D705C780EBCCQ38790943-358129F9-10AE-427E-892D-82B74B306E78Q40077912-3C4AB8F4-44D3-4DDE-A82D-340DA2AC45B8Q41687350-FD57AB5B-4C86-4804-BFA7-EC4EB91B2775Q47942760-14B55A46-D458-4C06-8BCA-D92C5116848EQ48104995-3981F13F-335C-4FDC-9E51-8306E2C23AC4Q53518575-143C02CE-9E2B-48BA-9C8C-4D8C1A34BC4BQ54923469-536C8A48-6448-4F56-940D-502CAE727D31Q55039669-1A87D8AA-E7FA-4D29-B470-23FFC94CAFCC
P2860
Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 28 January 2014
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
@en
Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
@nl
type
label
Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
@en
Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
@nl
altLabel
Gene Expression Analysis in Ovarian Cancer – Faults and Hints from DNA Microarray Study
@en
prefLabel
Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
@en
Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
@nl
P2093
P2860
P50
P356
P1476
Gene expression analysis in ovarian cancer - faults and hints from DNA microarray study.
@en
P2093
Barbara Jarząb
Jolanta Pamuła-Piłat
Michał Jarząb
Volha Dudaladava
P2860
P356
10.3389/FONC.2014.00006
P50
P577
2014-01-28T00:00:00Z