KIR Sequencing and Typing for Allograft in Nancy (KIR-STAN)

May 9, 2021 updated by: Central Hospital, Nancy, France

Application of the Major Predictive Scoring Strategies Assessing KIR-based NK Alloreactivity to Donor/Recipient Couples

The use of haploidentical donors for aHSCT has greatly increased this past decade leading to a major paradigm shift: while finding 10/10 HLA-matched donors represented the prior difficulty for decades, the current problem is about finding the best haploidentical donor among several potential ones. The prediction of NK cells alloreactivity toward leukemic cells provides promising perspectives, although the underlying biological processes remain unclear. To date, many prediction models based on KIR and MHC genotyping have been designed and used across studies, which contribute to blur clinical conclusions.

The investigators hypothesized that the diversity of models used to predict NK alloreactivity in aHSCT could partly be responsible for the current literature discrepancies. The main objective of this work consisted of applying the major KIR-based prediction models in D/R couples undergoing aHSCT in different fashions - with MSD and haploidentical donors - to describe their heterogeneity and potential correlations. As clinical data were available for these two cohorts, the investigators described correlations that could be assessed between the scoring strategies and the clinical outcomes.

As suspected, it was highlighted that the different scoring strategies greatly impact the assessment of alloreactivity within D/R couples. As an example, two broadly used scoring strategies - educational models and missing-ligand models - show clear opposite predictions. Moreover, some scoring strategies seem to be better adapted to genoidentical or haploidentical cohorts, whereas others are robust across the different cohorts. Concerning the clinical-biological correlations, it was highlighted that (i) each scoring strategy is differentially associated to the different outcomes (ii) the different scoring strategies predict one particular outcome with different efficacy (iii) the D/R compatibility greatly impacts the pertinence of the scoring strategy.

This work therefore contributes to unravel the KIR-based alloreactivity prediction of NK cells in aHSCT. This would help to overcome the current literature discrepancies in this field as in making new hypotheses to better understand and predict NK alloreactivity to further develop its use in medical practice.

Study Overview

Study Type

Observational

Enrollment (Actual)

156

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Two independents cohorts of D/R couples (i) Matched siblig donors (MSD) couples : 50 couples selected from the French national database CRYOSTEM (ii) Haploidentical donors couples: exhaustive local cohort of haploidentical HSCT performed in the Hematology Department of Nancy's University Hospital, Lorraine, France. French Minister registration number : DC-2020-4068

Description

COHORT 1 = Matched Sibling Donors couples (MSD couples) INCLUSION CRITERIA

  • recipient of HSCT selected from the French national database CRYOSTEM
  • adult patients (18-50 years old)
  • transplanted in first remission
  • receiving myeloablative conditioning without anti-thymoglobulin
  • 16 couples without any sign of GVH (8 males and 8 females)
  • 16 couples with aGVH without cGVH
  • 9 couples with cGVH without aGVH
  • 9 couples with both cGVH and aGVH. EXCLUSION CRITERIA
  • insufficient DNA material after Miltenyi extraction

COHORT 2 = Haploidentical couples INCLUSION CRITERIA

  • patient undergoing a haploidentical HSCT in the Hematology Department of Nancy's University Hospital, Lorraine, France (French Minister registration number : DC-2020-4068) EXCLUSION CRITERIA
  • insufficient DNA material after Miltenyi extraction (7 MSD couples)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Case-Control
  • Time Perspectives: Other

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Donor/recipient couple with Matched Sibling Donor

Donor/recipient couple = Patient undergoing a hematopoietic stem cell transplantation

+ its 10/10 HLA-matched donor recruited among his siblings

Allelic genotyping resolution of MHC genes (HLA-A, -B, -C, -DRB1, -DQA1, -DQB1, -DPA1, -DPB1 and -DRB3/4/5) using Illumina technology.
Allelic genotyping resolution of all 13 KIR genes (KIR2DL1, KIR2DL2/2DL3, KIR2DL4, KIR2DL5A, KIR2DL5B, KIR2DS1, KIR2DS2, KIR2DS3, KIR2DS3/2DS5, KIR2DS4, KIR3DL1/3DS1, KIR3DL2, KIR3DL3), 2 KIR pseudogenes (KIR2DP1 and -3DP1) using Illumina technology.
Compiling donor/recipient MHC and KIR typings into 28 major KIR-based prediction scores
Donor/recipient couple with Haploidentical Donor

Donor/recipient couple = Patient undergoing a hematopoietic stem cell transplantation

+ its 5/10 HLA-matched donor recruited among his relatives

Allelic genotyping resolution of MHC genes (HLA-A, -B, -C, -DRB1, -DQA1, -DQB1, -DPA1, -DPB1 and -DRB3/4/5) using Illumina technology.
Allelic genotyping resolution of all 13 KIR genes (KIR2DL1, KIR2DL2/2DL3, KIR2DL4, KIR2DL5A, KIR2DL5B, KIR2DS1, KIR2DS2, KIR2DS3, KIR2DS3/2DS5, KIR2DS4, KIR3DL1/3DS1, KIR3DL2, KIR3DL3), 2 KIR pseudogenes (KIR2DP1 and -3DP1) using Illumina technology.
Compiling donor/recipient MHC and KIR typings into 28 major KIR-based prediction scores

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Describe the heterogeneity of the major KIR-based prediction models in assessing alloreactivity
Time Frame: At inclusion
At inclusion
Describe the potential correlations between a KIR-based prediction models and post-allograft outcomes
Time Frame: at least 4 months
at least 4 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 23, 2015

Primary Completion (Actual)

July 25, 2019

Study Completion (Actual)

July 25, 2019

Study Registration Dates

First Submitted

May 4, 2021

First Submitted That Met QC Criteria

May 9, 2021

First Posted (Actual)

May 12, 2021

Study Record Updates

Last Update Posted (Actual)

May 12, 2021

Last Update Submitted That Met QC Criteria

May 9, 2021

Last Verified

May 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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