Evidence map›Paper›PMID 33193367›Full record

SynthesisFrontiers in immunology2020

Review of Genetic Variation as a Predictive Biomarker for Chronic Graft-Versus-Host-Disease After Allogeneic Stem Cell Transplantation.

Jukka Partanen, Kati Hyvärinen, Heike Bickeböller, Katarzyna Bogunia-Kubik, Rachel E Crossland, Milena Ivanova, Francesca Perutelli, Ralf Dressel

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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  5. Relationship Between anJournal of clinical medicine · 2025
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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

8 authors at 6 institutions in 6 countries.

Jukka PartanenFinnish Red Cross Blood Service, Research and Development, Helsinki, Finland.
Kati HyvärinenFinnish Red Cross Blood Service, Research and Development, Helsinki, Finland.
Heike BickeböllerDepartment of Genetic Epidemiology, University Medical Center Göttingen, Göttingen, Germany.
Katarzyna Bogunia-KubikHirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wroclaw, Poland.
Rachel E CrosslandHaematological Sciences, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Milena IvanovaMedical University, University Hospital Alexandrovska, Sofia, Bulgaria.
Francesca PerutelliHaematological Sciences, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Ralf DresselInstitute of Cellular and Molecular Immunology, University Medical Center Göttingen, Göttingen, Germany.
Finnish Red Cross · FIUniversitätsmedizin Göttingen · DEAlexandrovska Hospital · BGLudwik Hirszfeld Institute of Immunology and Experimental Therapy · PLNewcastle University · GBUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic graft-versus-host disease (cGvHD) is one of the major complications of allogeneic stem cell transplantation (HSCT). cGvHD is an autoimmune-like disorder affecting multiple organs and involves a dermatological rash, tissue inflammation and fibrosis. The incidence of cGvHD has been reported to be as high as 30% to 60% and there are currently no reliable tools for predicting the occurrence of cGvHD. There is therefore an important unmet clinical need for predictive biomarkers. The present review summarizes the state of the art for genetic variation as a predictive biomarker for cGvHD. We discuss three different modes of action for genetic variation in transplantation: genetic associations, genetic matching, and pharmacogenetics. The results indicate that currently, there are no genetic polymorphisms or genetic tools that can be reliably used as validated biomarkers for predicting cGvHD. A number of recommendations for future studies can be drawn. The majority of studies to date have been under-powered and included too few patients and genetic markers. Like in all complex multifactorial diseases, large collaborative genome-level studies are now needed to achieve reliable and unbiased results. Some of the candidate genes, in particular,

Indexed as

Pharmacogenomic VariantsPolymorphism, Single NucleotideAnimalsChronic DiseaseGenetic MarkersGenetic Predisposition to DiseaseGraft vs Host DiseaseHematopoietic Stem Cell TransplantationHistocompatibilityHLA AntigensHumansImmunosuppressive AgentsRisk AssessmentRisk FactorsTransplantation, HomologousTreatment OutcomeGenetic MarkersHLA AntigensImmunosuppressive Agentsbiomarkersgene markergenetic screengraft versus host disease (GvHD)stem cell transplantation (HSCT)

Identifiers

PMID33193367
PMCPMC7604383
OpenAlexW3093447708

What OpenQuestion holds

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LicenceCC BY
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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.