Evidence map›Paper›PMID 30307119›Full record

ReviewProteomics. Clinical applications2019

Clinical Proteomics for Post-Hematopoeitic Stem Cell Transplantation Outcomes.

Sophie Paczesny, Jochen Metzger

Abstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

2 authors.

Sophie PaczesnyDepartment of Pediatrics, Department of Microbiology Immunology, and Melvin and Bren Simon Cancer Center, Indiana University School of Medicine, 46202 Indianapolis, IN.ORCID 0000-0001-5571-2775
Jochen MetzgerMosaiques-Diagnostics GmbH, 30659 Hannover, Germany.

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Translating Novel Drug-Targetable Biomarkers to Treat Graft versus Host DiseaseR01CA168814 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI PACZESNY, SOPHIE · 2013 to 2024
$3.0M
Bridging Pediatric and Adult Biomarkers of Graft-Versus-Host-DiseaseR01HD074587 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI PACZESNY, SOPHIE, RENBARGER, JAMIE L · 2013 to 2017
$2.4M
Biomarkers for risk of chronic Graft-Versus-Host Disease occurrenceR21HL139934 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI ROWAN, COURTNEY · 2017 to 2018
$249k
Leukemia & Lymphoma Society 1293-15NCATS NIH HHS UL1 TR001108NCI NIH HHS R01 CA168814NHLBI NIH HHS R21 HL139934NICHD NIH HHS R01 HD074587
6 · The paper itself

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.

Indexed as

BiomarkersDrug DiscoveryGraft vs Host DiseaseHematopoietic Stem Cell TransplantationHumansProteomicsTreatment OutcomeBiomarkersbiomarkersgraft-versus-host diseaseHematopoetic cell transplantationProteomicsvalidation

Identifiers

PMID30307119
PMCPMC6440827

What Socratic holds

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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 Socratic graph.