Evidence map›Paper›PMID 22139069›Full record

Trial reportBone marrow transplantation2012

Differential impact of inhibitory and activating Killer Ig-Like Receptors (KIR) on high-risk patients with myeloid and lymphoid malignancies undergoing reduced intensity transplantation from haploidentical related donors.

D-F Chen, V K Prasad, G Broadwater, N L Reinsmoen, A DeOliveira, A Clark, K M Sullivan, J P Chute, M E Horwitz, C Gasparetto and 4 more

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Bone marrow transplantation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

  1. KIR Donor Selection: Feasibility in Identifying better Donors.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2019
    Trial
  2. Article
  3. Review
  4. Article
  5. Donor KIR B Genotype Improves Progression-Free Survival of Non-Hodgkin Lymphoma Patients Receiving Unrelated Donor Transplantation.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2016
    Article
  6. Article
  7. Haploidentical Hematopoietic Stem Cell Transplantation as a Platform for Post-Transplantation Cellular Therapy.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2015
    Review
  8. Impact of KIR and HLA Genotypes on Outcomes after Reduced-Intensity Conditioning Hematopoietic Cell Transplantation.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2015
    Article
  9. Article
  10. Review
  11. Effect of donor KIR2DL1 allelic polymorphism on the outcome of pediatric allogeneic hematopoietic stem-cell transplantation.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2013
    Article
  12. Article
  13. Article
  14. Haploidentical transplantation for hematologic malignancies: where do we stand?Hematology. American Society of Hematology. Education Program · 2012
    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

14 authors at 4 institutions in 2 countries.

D-F ChenClinical Transplantation Immunology Laboratory, Department of Pathology, Duke University Medical Center (DUMC), Durham, NC 27710, USA.
V K Prasad
G Broadwater
N L Reinsmoen
A DeOliveira
A Clark
K M Sullivan
J P Chute
M E Horwitz
C Gasparetto
G D Long
Y Yang
N J Chao
D A Rizzieri
Durham University · GBDuke University · USDuke Medical Center · USCedars-Sinai Medical Center · US

Funding

THERAPEUTIC APPROACHES TO OVARIAN/BREAST CANCER--HIGH DOSE CHEMOTHERAPY AND ABMSP01CA047741 · NCI · DUKE UNIVERSITY · PI HASSELBLAD, VICTOR · 1990 to 2013
$19.5M
NCI NIH HHS P01 2P01-CA047741-16A1NCI NIH HHS P01 CA047741
6 · The paper itself

Abstract

The impact of activating KIR (aKIR) and inhibitory KIR (iKIR) on OS, relapse-related mortality (RRM) and acute GVHD (aGVHD) was prospectively studied in 84 adults with high-risk hematologic malignancies receiving reduced intensity conditioning (RIC) T-cell depleted hematopoietic SCT (HSCT) from haploidentical related donors. In this clinical model, freedom from RRM is dependent on GVL effect. Patients were divided into myeloid (n=49) and lymphoid (n=35) malignancy groups. KIR-ligand and ligand-ligand models were studied in both GVH and rejection directions and statistically correlated with outcome measures. In the myeloid group, OS was higher (P=0.009) and RRM was lower (P=0.036) in patients missing HLA-C group2 ligand to donor iKIR. OS was higher if patients had >1 missing ligand (P=0.018). In lymphoid malignancy, missing ligand to donor KIR had no impact on OS or RRM. However, OS was better with donor aKIR 2DS2 (P=0.028). There was a trend towards shorter OS in recipient with KIR 2DS1, 2DS5 and 3DS1, although sample sizes were too small to provide inferential statistics. Findings in lymphoid malignancy patients should be further studied. These results suggest that the absence of appropriate HLA ligands in the recipient to donor iKIR may induce GVL without aGVHD in myeloid malignancy patients undergoing TCD-RIC transplants.

Indexed as

Hematologic NeoplasmsPeripheral Blood Stem Cell TransplantationTransplantation ConditioningAdolescentAdultAgedDisease-Free SurvivalFemaleHistocompatibility TestingHLA-C AntigensHumansLiving DonorsMaleMiddle AgedReceptors, KIRRetrospective StudiesHLA-C AntigensReceptors, KIR

Identifiers

PMID22139069
PMCPMC3629554
OpenAlexW2046381829

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.