All content on this site is intended for healthcare professionals only. By acknowledging this message and accessing the information on this website you are confirming that you are a Healthcare Professional.

The GvHD Hub uses cookies on this website. They help us give you the best online experience. By continuing to use our website without changing your cookie settings, you agree to our use of cookies in accordance with our updated Cookie Policy

Introducing

Now you can personalise
your GvHD Hub experience!

Bookmark content to read later

Select your specific areas of interest

View content recommended for you

Find out more
  TRANSLATE

The GvHD Hub website uses a third-party service provided by Google that dynamically translates web content. Translations are machine generated, so may not be an exact or complete translation, and the GvHD Hub cannot guarantee the accuracy of translated content. The GvHD Hub and its employees will not be liable for any direct, indirect, or consequential damages (even if foreseeable) resulting from use of the Google Translate feature. For further support with Google Translate, visit Google Translate Help.

Steering CommitteeAbout UsNewsletterContact
LOADING
You're logged in! Click here any time to manage your account or log out.
LOADING
You're logged in! Click here any time to manage your account or log out.
2018-10-30T00:35:32.000Z

Predictive plasma-based protein biomarkers for patients with acute graft-versus-host disease

Oct 30, 2018
Share:

Bookmark this article

Acute graft-versus-host disease (aGvHD) is a multisystem disorder that is a common complication of allogeneic hematopoietic stem cell transplantation (allo-HSCT) and is a reaction between donor immune cells and host tissues. Recent studies have identified predictive plasma biomarkers present before aGvHD onset as potential predictive biomarkers in order to improve early and accurate diagnosis of the condition and start efficient preemptive immune suppressive therapy to reduce the intensity of tissue damage.

In this study, Junghoon Shin and colleagues used an unbiased proteome profiling method to analyze prospectively collected plasma samples from allo-HSCT recipients to identify potential protein  biomarkers that predict the risk of aGvHD and non-relapse mortality (NRM). The authors published their paper in a recent issue of Blood Cells, Molecules and Diseases.

Patients and methods:

The study included a discovery and validation phase.

Discovery cohort

  • N = 5 aGvHD patients
  • N = 5 control patients
  • Median age = 32 years (range, 16–57)
  • Proteome profiling of plasma samples were collected and analyzed

Validation cohort

  • N = 89 patients
  • Median age = 44 years (range, 16–64)
  • The predictive value of the identified candidate biomarkers was assessed regarding aGvHD and NRM risk

Key findings:

  • Seven candidate proteins were identified in patients in the discovery cohort
  • Forty patients (44.9%) developed aGvHD in the validation cohort
    • Grade I: 9 patients (10.1%)
    • Grade II: 14 patients (15.7%)
    • Grade III: 12 patients (13.5%)
    • Grade IV: 5 patients (5.6%)
  • Higher levels of the identified proteins showed correlation with a higher risk of aGvHD and NRM in comparison with low levels of the proteins in post-engraftment plasma samples
  • The following biomarkers were identified as potential predictive markers and were used as biomarker panel scores (range, 0–3):
    • Tissue inhibitor of metalloproteinase 1
    • Plastin-2
    • Regenerating islet derived protein 3-α
  • The biomarker panel score showed significant correlation with aGvHD and NRM risk
  • Association of biomarker panel score with cause-specific risk of aGvHD and NRM
    • aGvHD risk: HR = 1.57 (95% CI, 1.13–2.18), P = 0.008
    • NRM risk: HR = 2.68 (95% CI, 1.57–4.59), P < 0.001
  • Prediction of aGvHD and NRM was significantly improved with the biomarker panel score in combination with clinical predictors

This study showed that plasma-derived protein biomarkers can predict aGvHD and NRM before the onset of clinical symptoms. To date, this is the first study that used a LC-MS/MS-based quantitative proteome profiling method, which is currently “state-of-the-art in proteomics research” to evaluate a predictive biomarker panel for aGvHD by analyzing plasma samples obtained at the preclinical stage.

 

  1. Shin J. et al. Plasma-based protein biomarkers can predict the risk of acute graft-versus-host disease and non-relapse mortality in patients undergoing allogeneic hematopoietic stem cell transplantation. Blood Cells Mol Dis. 2018 Oct 4. DOI: 1016/j.bcmd.2018.10.001. [Epub ahead of print].

Newsletter

Subscribe to get the best content related to GvHD delivered to your inbox