Evidence map›Paper›PMID 19650671›Full record

ReviewMolecular diagnosis & therapy2009

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

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

Open access · greenAbstract readReview
In one paragraph

Review in Molecular diagnosis & therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Biomarkers in T cell therapy clinical trials.Journal of translational medicine · 2011
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

David F StroncekDepartment of Transfusion Medicine, Clinical Center, National Institutes of Health, Bethesda, Maryland 20892, USA. dstroncek@cc.nih.gov
Ping Jin
Ena Wang
Jiagiang Ren
Marianna Sabatino
Francesco M Marincola
National Institutes of Health Clinical Center · US

Funding

Immunogenetics of Vaccine TherapyZIACL002115 · CLC · CLINICAL CENTER · PI MARINCOLA, FRANCESCO M · 2009 to 2010
$0k
Immunogenetic Study of Infectious Diseases and CancerZIACL002118 · CLC · CLINICAL CENTER · PI MARINCOLA, FRANCESCO M · 2009 to 2012
$0k
Develop novel assays for assessing cellular and gene therapiesZIACL002119 · CLC · CLINICAL CENTER · PI STRONCEK, DAVID · 2010 to 2025
$0k
Intramural NIH HHS ZIA CL002119
6 · The paper itself

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.

Indexed as

Cell TransplantationGene Expression ProfilingTranscription, GeneticAnimalsBiomarkersHumansReproducibility of ResultsBiomarkers

Identifiers

PMID19650671
PMCPMC2949270
OpenAlexW12025627

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.