https://github.com/3mmarand/cidmap

A shiny app to explore the characterisation of Mesenchymal Stromal Cells in clinical trial reports

https://github.com/3mmarand/cidmap

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 7 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.8%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

A shiny app to explore the characterisation of Mesenchymal Stromal Cells in clinical trial reports

Basic Info
  • Host: GitHub
  • Owner: 3mmaRand
  • License: mit
  • Language: R
  • Default Branch: master
  • Size: 681 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 6 years ago · Last pushed over 4 years ago

https://github.com/3mmaRand/CIDMap/blob/master/

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4012398.svg)](https://doi.org/10.5281/zenodo.4012398)



hex-logo 

## Clinical trial identifiers for MSCs (CIDMap): A shiny app to explore the characterisation of mesenchymal stromal cells in clinical trial reports

Prepared to support:

Wilson, A. J., Rand, E., Webster, A. J., & Genever, P. G. (2021). Characterisation of mesenchymal stromal cells in clinical trial reports: analysis of published descriptors. Stem cell research & therapy, 12 (1), 360. https://doi.org/10.1186/s13287-021-02435-1

**Abstract:** Mesenchymal stem or stromal cells (MSCs) are the most widely used cell therapy to date. They are heterogeneous, with variations in growth potential, differentiation capacity and protein expression profile depending on tissue source and production process. Nomenclature and defining characteristics have been debated for almost 20 years, yet the generic term MSC is used to cover a wide range of cellular phenotypes. Against a documented lack of definition of cellular populations used in clinical trials, our study evaluated the extent of characterization of the cellular population or study drug. A literature search of clinical trials involving mesenchymal stem/stromal cells was refined to 84 papers upon application of pre-defined inclusion/exclusion criteria. Thirty-two studies (38.1%) include no characterization data whatsoever. Forty-one (48.8%) reported average values per marker for all cell lots used in the trial, and only eleven (13.1%) studies included individual values per cell lot. Viability was reported in 57% of studies. Differentiation was discussed: osteogenesis (29% of papers) adipogenesis (27%) and chondrogenesis (20%); and other functional assays arose in 6 papers (7%). Extent of characterization was not related to clinical phase of development. Assessment of functionality was very limited and did not always relate to likely mechanism of action. We discuss the potential implications of these findings for the use of MSCs in regenerative medicine, and the importance of characterization for transparency and comparability of literature.

## [Launch app](https://shiny.york.ac.uk/er13/CIDMap/)

## Please cite as

Rand, Emma, Wilson, Alison, & Genener, Paul G. (2020). Clinical trial identifiers for MSCs (CIDMap): A shiny app to explore the characterisation of mesenchymal stromal cells in clinical trial reports (v1.0). Zenodo. https://doi.org/10.5281/zenodo.4012398

Owner

  • Name: Emma Rand
  • Login: 3mmaRand
  • Kind: user
  • Location: York, UK
  • Company: University of York

Lecturer at @UniOfYork sharing my enthusiasm for all things data, mainly in R. Ridiculously lucky. Talks too fast, thinks too slow.

GitHub Events

Total
Last Year