Evidence map›Paper›PMID 42060959›Full record

ReviewCurrent opinion in immunology2026

Optimal donor selection for transplant to reduce GVHD risk and augment graft-versus-malignancy efficacy.

Brian C Shaffer, Bronwen E Shaw

Abstract readReview
In one paragraph

Review in Current opinion in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brian C ShafferAdult BMT Service, Memorial Sloan Kettering Cancer Center, New York, NY, United States; Department of Medicine, Weill Cornell Medical School, New York, NY, United States.
Bronwen E ShawCIBMTR® (Center for International Blood and Marrow Transplant Research), Medical College of Wisconsin, Milwaukee, WI, United States; Department of Medicine, Medical College of Wisconsin, Milwaukee, WI, United States. Electronic address: beshaw@mcw.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
NCI NIH HHS P30 CA008748NCI NIH HHS U24 CA076518
6 · The paper itself

Abstract

Allogeneic hematopoietic cell transplantation (alloHCT) is curative for many patients with high-risk, hematologic malignancies. AlloHCT depends on a graft versus malignancy (GVM) phenomenon, whereby donor-derived immune cells recognize and eradicate malignant host cells. Successful GVM correlates with the risk of alloreactivity against healthy tissues (graft-vs-host disease [GVHD]). HLA genes are central to immunologic recognition of self and mediate both GVM and GVHD. Historically, HLA-mismatched alloHCT was limited by the high incidence of severe GVHD. This led to a strong preference for HLA-matched donors, limiting access to HCT in patients without an HLA-matched donor. More recent advances in the prevention of GVHD, such as post-transplant cyclophosphamide, resulted in improved outcomes after HLA-mismatched donor HCT. New possibilities now exist to select donors for strategies designed to exploit GVM without significant GVHD. Here, we discuss the practical applications of donor selection to improve the overall efficacy of alloHCT.

Indexed as

Donor SelectionGraft vs Host DiseaseGraft vs Tumor EffectHematologic NeoplasmsHematopoietic Stem Cell TransplantationAnimalsHLA AntigensHumansTransplantation, HomologousTreatment OutcomeHLA Antigens

Identifiers

PMID42060959
PMCPMC13210405

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.