Now showing items 1-7 of 7

    • Analysis of Multiple Sarcoma Expression Datasets: Implications for Classification, Oncogenic Pathway Activation and Chemotherapy Resistance 

      Konstantinopoulos, Panagiotis; Fountzilas, Elena; Goldsmith, Jeffrey David; Bhasin, Manoj; Pillay, Kamana; Francoeur, Nancy; Libermann, Towia Aron; Gebhardt, Mark Clyde; Spentzos, Dimitrios (Public Library of Science, 2010)
      Background: Diagnosis of soft tissue sarcomas (STS) is challenging. Many remain unclassified (not-otherwise-specified, NOS) or grouped in controversial categories such as malignant fibrous histiocytoma (MFH), with unclear ...
    • Carboplatin-Induced Gene Expression Changes In Vitro are Prognostic of Survival in Epithelial Ovarian Cancer 

      Konstantinopoulos, Panagiotis; Fountzilas, Elena; Pillay, Kamana; Zerbini, Luiz F; Libermann, Towia Aron; Cannistra, Stephen Anthony; Spentzos, Dimitrios (BioMed Central, 2008)
      Background: We performed a time-course microarray experiment to define the transcriptional response to carboplatin in vitro, and to correlate this with clinical outcome in epithelial ovarian cancer (EOC). RNA was isolated ...
    • Integrated Analysis of Multiple Microarray Datasets Identifies a Reproducible Survival Predictor in Ovarian Cancer 

      Konstantinopoulos, Panagiotis; Cannistra, Stephen Anthony; Fountzilas, Helen; Culhane, Aedin; Pillay, Kamana; Rueda, Bo Ruben; Cramer, Daniel William; Seiden, Michael; Birrer, Michael James; Coukos, George; Zhang, Lin; Quackenbush, John; Spentzos, Dimitrios (Public Library of Science (PLoS), 2011)
      Background Public data integration may help overcome challenges in clinical implementation of microarray profiles. We integrated several ovarian cancer datasets to identify a reproducible predictor of survival. Met ...
    • A microRNA activity map of human mesenchymal tumors: connections to oncogenic pathways; an integrative transcriptomic study 

      Fountzilas, Elena; Kelly, Andrew D; Perez-Atayde, Antonio Rafael; Goldsmith, Jeffrey David; Konstantinopoulos, Panagiotis; Francoeur, Nancy; Correll, Mick; Rubio, Renee; Hu, Lan; Gebhardt, Mark Clyde; Quackenbush, John; Spentzos, Dimitrios (BioMed Central, 2012)
      Background: MicroRNAs (miRNAs) are nucleic acid regulators of many human mRNAs, and are associated with many tumorigenic processes. miRNA expression levels have been used in profiling studies, but some evidence suggests ...
    • MicroRNA paraffin-based studies in osteosarcoma reveal reproducible independent prognostic profiles at 14q32 

      Kelly, Andrew D; Haibe-Kains, Benjamin; Janeway, Katherine A; Hill, Katherine E; Howe, Eleanor; Goldsmith, Jeffrey; Kurek, Kyle; Perez-Atayde, Antonio R; Francoeur, Nancy; Fan, Jian-Bing; April, Craig; Schneider, Hal; Gebhardt, Mark C; Culhane, Aedin; Quackenbush, John; Spentzos, Dimitrios (BioMed Central, 2013)
      Background: Although microRNAs (miRNAs) are implicated in osteosarcoma biology and chemoresponse, miRNA prognostic models are still needed, particularly because prognosis is imperfectly correlated with chemoresponse. ...
    • A network model for angiogenesis in ovarian cancer 

      Glass, Kimberly; Quackenbush, John; Spentzos, Dimitrios; Haibe-Kains, Benjamin; Yuan, Guo-Cheng (BioMed Central, 2015)
      Background: We recently identified two robust ovarian cancer subtypes, defined by the expression of genes involved in angiogenesis, with significant differences in clinical outcome. To identify potential regulatory mechanisms ...
    • Stem Cell-Like Gene Expression in Ovarian Cancer Predicts Type II Subtype and Prognosis 

      Schwede, Matthew; Spentzos, Dimitrios; Bentink, Stefan; Hofmann, Oliver Marc; Haibe-Kains, Benjamin; Harrington, David Paul; Quackenbush, John; Culhane, Aedín C. (Public Library of Science, 2013)
      Although ovarian cancer is often initially chemotherapy-sensitive, the vast majority of tumors eventually relapse and patients die of increasingly aggressive disease. Cancer stem cells are believed to have properties that ...