Clinical Proteomics for Post-Hematopoeitic Stem Cell Transplantation Outcomes

Sophie Paczesny, Jochen Metzger

Research output: Contribution to journalReview article

3 Scopus citations

Abstract

Allogeneic hematopoietic stem cell transplantation (HSCT) is the most effective form of tumor immunotherapy available to date. However, while HSCT can induce beneficial graft-versus-leukemia (GVL) effect, the adverse effect of graft-versus-host disease (GVHD), which is closely linked to GVL, is the major source of morbidity and mortality following HSCT. Until recently, available diagnostic and staging tools frequently fail to identify those at higher risk of disease progression or death. Furthermore, there are shortcomings in the prediction of the need for therapeutic interventions or the response rates to different forms of therapy. The past decade has been characterized by an explosive evolution of proteomics technologies, largely due to important advances in high-throughput MS instruments and bioinformatics. Building on these opportunities, blood biomarkers have been identified and validated both as promising diagnostic tools, prognostic tools that risk-stratify patients before future occurrence of GVHD and as predictive tools for responsiveness to GVHD therapy and non-relapse mortality. These biomarkers might facilitate timely and selective therapeutic intervention. This review summarizes current information on clinical proteomics for GVHD as well as other complications following HSCT. Finally, it proposes future directions for the translation of clinical proteomics to discovery of new potential therapeutic targets to the development of drugs.

Original languageEnglish (US)
Article number1800145
JournalProteomics - Clinical Applications
Volume13
Issue number2
DOIs
StatePublished - Mar 2019

Keywords

  • Hematopoetic cell transplantation
  • Proteomics
  • biomarkers
  • graft-versus-host disease
  • validation

ASJC Scopus subject areas

  • Clinical Biochemistry

Fingerprint Dive into the research topics of 'Clinical Proteomics for Post-Hematopoeitic Stem Cell Transplantation Outcomes'. Together they form a unique fingerprint.

  • Cite this