Literature DB >> 19650671

Global transcriptional analysis for biomarker discovery and validation in cellular therapies.

David F Stroncek1, Ping Jin, Ena Wang, Jiagiang Ren, Marianna Sabatino, Francesco M Marincola.   

Abstract

Potency testing is an important part of the evaluation of cellular therapy products. Potency assays are quantitative measures of a product-specific biologic activity that is linked to a relevant biologic property and, ideally, a product's in vivo mechanism of action. Both in vivo and in vitro assays can be used for potency testing. Since there is often a limited period of time between the completion of production and the release from the laboratory for administration to the patient, in vitro assays such as flow cytometry, ELISA, and cytotoxicity are typically used. Better potency assays are needed to assess the complex and multiple functions of cellular therapy products, some of which are not well understood. Gene expression profiling using microarray technology has been widely and effectively used to assess changes of cells in response to stimuli and to classify cancers. Preliminary studies have shown that the expression of non-coding microRNA (miRNA), which plays an important role in cellular development, differentiation, metabolism, and signal transduction, can distinguish between different types of stem cells and leukocytes. Both gene and miRNA expression profiling have the potential to be important tools for testing the potency of cellular therapies. Potency testing, the complexities associated with potency testing of cellular therapies, and the potential role of gene and miRNA expression microarrays in potency testing of cellular therapies are discussed.

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Year:  2009        PMID: 19650671      PMCID: PMC2949270          DOI: 10.2165/01250444-200913030-00003

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  57 in total

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Authors:  Daniel J Powell; Mark E Dudley; Katherine A Hogan; John R Wunderlich; Steven A Rosenberg
Journal:  J Immunol       Date:  2006-11-01       Impact factor: 5.422

2.  In vitro behavior of hematopoietic progenitor cells under the influence of chemoattractants: stromal cell-derived factor-1, steel factor, and the bone marrow environment.

Authors:  C H Kim; H E Broxmeyer
Journal:  Blood       Date:  1998-01-01       Impact factor: 22.113

Review 3.  Dendritic cell vaccines for leukemia patients.

Authors:  Anita Schmitt; Iwona Hus; Michael Schmitt
Journal:  Expert Rev Anticancer Ther       Date:  2007-03       Impact factor: 4.512

4.  Gene expression profiles of small-cell lung cancers: molecular signatures of lung cancer.

Authors:  Masaya Taniwaki; Yataro Daigo; Nobuhisa Ishikawa; Atsushi Takano; Tatsuhiko Tsunoda; Wataru Yasui; Kouki Inai; Nobuoki Kohno; Yusuke Nakamura
Journal:  Int J Oncol       Date:  2006-09       Impact factor: 5.650

5.  Gene expression profiles in prostate cancer: association with patient subgroups and tumour differentiation.

Authors:  Ole Johan Halvorsen; Anne Margrete Oyan; Trond Hellem Bø; Sue Olsen; Kari Rostad; Svein Andreas Haukaas; August Magnar Bakke; Bruz Marzolf; Krassen Dimitrov; Laila Stordrange; Biaoyang Lin; Inge Jonassen; Leroy Hood; Lars Andreas Akslen; Karl-Henning Kalland
Journal:  Int J Oncol       Date:  2005-02       Impact factor: 5.650

6.  IL-10 stimulatory effects on human NK cells explored by gene profile analysis.

Authors:  S Mocellin; M Panelli; E Wang; C R Rossi; P Pilati; D Nitti; M Lise; F M Marincola
Journal:  Genes Immun       Date:  2004-12       Impact factor: 2.676

7.  Identification of immune dominant cytomegalovirus epitopes using quantitative real-time polymerase chain reactions to measure interferon-gamma production by peptide-stimulated peripheral blood mononuclear cells.

Authors:  Maurizio Provenzano; Simone Mocellin; Maria Bettinotti; Jeanne Preuss; Vladia Monsurrò; Francesco M Marincola; David Stroncek
Journal:  J Immunother       Date:  2002 Jul-Aug       Impact factor: 4.456

Review 8.  The role of quantitative PCR for the immune monitoring of cancer patients.

Authors:  Monica C Panelli; Ena Wang; Vladia Monsurro; Francesco M Marincola
Journal:  Expert Opin Biol Ther       Date:  2002-06       Impact factor: 4.388

9.  Gene expression profiling of cutaneous wound healing.

Authors:  Kavita Deonarine; Monica C Panelli; Mitchell E Stashower; Ping Jin; Kina Smith; Herbert B Slade; Christopher Norwood; Ena Wang; Francesco M Marincola; David F Stroncek
Journal:  J Transl Med       Date:  2007-02-21       Impact factor: 5.531

10.  Differentiation of two types of mobilized peripheral blood stem cells by microRNA and cDNA expression analysis.

Authors:  Ping Jin; Ena Wang; Jiaqiang Ren; Richard Childs; Jeong Won Shin; Hanh Khuu; Francesco M Marincola; David F Stroncek
Journal:  J Transl Med       Date:  2008-07-22       Impact factor: 5.531

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  2 in total

1.  Superparamagnetic iron oxide nanoparticles labeling of bone marrow stromal (mesenchymal) cells does not affect their "stemness".

Authors:  Arun Balakumaran; Edyta Pawelczyk; Jiaqiang Ren; Brian Sworder; Aneeka Chaudhry; Marianna Sabatino; David Stroncek; Joseph A Frank; Pamela G Robey
Journal:  PLoS One       Date:  2010-07-07       Impact factor: 3.240

Review 2.  Biomarkers in T cell therapy clinical trials.

Authors:  Michael Kalos
Journal:  J Transl Med       Date:  2011-08-19       Impact factor: 5.531

  2 in total

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