Evidence map›Paper›PMID 29549293›Full record

ArticleBone marrow transplantation2018

Prognostic role of KIR genes and HLA-C after hematopoietic stem cell transplantation in a patient cohort with acute myeloid leukemia from a consanguineous community.

Ameera Gaafar, Atia Sheereen, Fahad Almohareb, Abdelmoneim Eldali, Naeem Chaudhri, Said Y Mohamed, Amr Hanbali, Marwan Shaheen, Feras Alfraih, Riad El Fakih and 6 more

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Article in Bone marrow transplantation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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

16 authors at 1 institution in 1 country.

Ameera GaafarStem Cell and Tissue Re-engineering Program, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia. agaafar@kfshrc.edu.sa.
Atia SheereenStem Cell and Tissue Re-engineering Program, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Fahad AlmoharebKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Abdelmoneim EldaliDepartment of Biostatistics, Epidemiology, and Scientific Computing, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Naeem ChaudhriKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Said Y MohamedKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Amr HanbaliKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Marwan ShaheenKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Feras AlfraihKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Riad El FakihKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Alia IqneibiStem Cell and Tissue Re-engineering Program, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Riad YounissKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Tusneem ElhassanKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Shahrukh HashmiKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Mahmud AljurfKing Faisal Cancer Center, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia.
Khalid AlhusseinStem Cell and Tissue Re-engineering Program, King Faisal Specialist Hospital and Research Centre, Riyadh, 11211, Saudi Arabia. Khussein@kfshrc.edu.sa.
King Faisal Specialist Hospital & Research Centre · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NK cell activity is tuned by a balance of activating and inhibitory signals transmitted via their respective receptors, including killer immunoglobulin-like receptors (KIRs). The impact of NK cells on graft-versus-leukemia following hematopoietic stem cell transplantation (HSCT) is well established. These effects sometimes lead to GvHD. The link between KIR/HLA interaction and GvHD remains unclear. Herein, we studied the impact of the KIR/HLA interaction on HSCT outcomes in a longitudinal follow-up study of a highly consanguineous HLA-matched related cohort. Peripheral blood DNA was collected from HSCT donor-recipient pairs (n = 87), including 41 AML pairs. KIR and HLA were genotyped and significant results were only measured when matching KIR (donor) with HLA (recipients). GvHD was observed in 47% of patients. KIR2DL1_C2 and 2DS2_C1 (P = 0.02 and 0.04, respectively) matching was associated with an increased incidence of acute GvHD in AML donor-recipient pairs. The rate of chronic GvHD also rose in AML patients who were matched for KIR2DS1_C2 (P = 0.004) and had either KIR2DL2 or KIR2DS2 (P = 0.03). In conclusion, matching of KIR2DL1, 2DS1, and 2DS2 in donors with their HLA-C ligands in recipients is associated with increased GvHD, and holds potential for selection of HSCT donors.

Indexed as

ConsanguinityAdolescentAdultCohort StudiesDonor SelectionFemaleGraft vs Host DiseaseHematopoietic Stem Cell TransplantationHistocompatibilityHLA-C AntigensHumansLeukemia, Myeloid, AcuteLongitudinal StudiesMaleMiddle AgedPrognosisHLA-C AntigensKIR2DL1 protein, humanKIR2DS1 protein, humanKIR2DS2 protein, humanReceptors, KIRReceptors, KIR2DL1

Identifiers

PMID29549293
OpenAlexW2790144597

What OpenQuestion holds

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Registered trials

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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.