Evidence map›Paper›PMID 31676338›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2020

Killer Immunoglobulin-Like Receptor-Ligand Interactions Predict Clinical Outcomes following Unrelated Donor Transplantations.

Elizabeth Krieger, Roy Sabo, Sanauz Moezzi, Caitlin Cain, Catherine Roberts, Pamela Kimball, Alden Chesney, John McCarty, Armand Keating, Rizwan Romee and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. DonorFrontiers in immunology · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

13 authors at 3 institutions in 2 countries.

Elizabeth KriegerMassey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.
Roy SaboDepartment of Biostatistics, Virginia Commonwealth University, Richmond, Virginia.
Sanauz MoezziMassey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.
Caitlin CainMassey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.
Catherine RobertsMassey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.
Pamela KimballDepartment of Surgery, Virginia Commonwealth University, Richmond, Virginia.
Alden ChesneyDepartment of Pathology, Virginia Commonwealth University, Richmond, Virginia.
John McCartyMassey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.
Armand KeatingPrincess Margaret Cancer Center, University of Toronto, Toronto, Ontario, Canada.
Rizwan RomeeDana-Farber Cancer Center, Harvard University, Boston, Massachusetts.
Christina WiedlMassey Cancer Center, Virginia Commonwealth University, Richmond, Virginia.
Rehan QayyumDepartment of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia.
Amir ToorMassey Cancer Center, Virginia Commonwealth University, Richmond, Virginia. Electronic address: amir.toor@vcuhealth.org.
Virginia Commonwealth University · USHarvard University · USUniversity of Toronto · CA

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Keri R Maher · 1985 to 2026
$51.0M
NCI NIH HHS P30 CA016059
6 · The paper itself

Abstract

Killer immunoglobulin-like receptor (KIR) and KIR ligand (KIRL) interactions play an important role in natural killer (NK) cell-mediated graft-versus-leukemia effect following hematopoietic cell transplantation (HCT). However, there is considerable heterogeneity in the KIR gene and KIRL content in individuals, making it difficult to estimate the full clinical impact of NK cell reconstitution following HCT. Here we present a novel adaptive mathematical model designed to quantify these interactions to better assess the influence of NK cell-mediated alloreactivity on transplant outcomes. Ninety-eight HLA- matched unrelated donor (URD) HCT recipients were studied retrospectively. The KIR-KIRL interactions were quantified using a system of matrix equations. Unit values were ascribed to each KIR-KIRL interaction, and the directionality of interactions was denoted by either a positive (activating) or negative (inhibition) symbol; these interactions were then summed. The absolute values of both the missing KIRL and inhibitory KIR-KIRL interactions were significantly associated with overall survival and relapse. These score components were initially used to develop a weighted score (w-KIR score) and subsequently a simplified, nonweighted KIR-KIRL interaction score (IM-KIR score). Increased w-KIR score and IM-KIR score were predictive of all-cause mortality and relapse (w-KIR score: hazard ratio [HR], .37 [P = .001] and .44 [P = .044], respectively; IM-KIR score: HR, .5 [P = .049] and .44 [P = .002], respectively). IM-KIR score was also associated with NK cell reconstitution post-HCT. KIR-KIRL interactions as reflected by the w-KIR and IM-KIR scores influence both relapse risk and survival in recipients of HLA-matched URD HCT with hematologic malignancies.

Indexed as

Hematopoietic Stem Cell TransplantationUnrelated DonorsHumansLigandsReceptors, KIRRetrospective StudiesLigandsReceptors, KIRHematopoietic cell transplantationHLA-matched unrelated donorKiller immunoglobulin-like receptorKiller immunoglobulin-like receptor ligandMathematical modelNatural killer cell

Identifiers

PMID31676338
PMCPMC7190417
OpenAlexW2982488323

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.