Literature DB >> 22395360

The EuroChimerism concept for a standardized approach to chimerism analysis after allogeneic stem cell transplantation.

T Lion1, F Watzinger, S Preuner, H Kreyenberg, M Tilanus, R de Weger, J van Loon, L de Vries, H Cavé, C Acquaviva, M Lawler, M Crampe, A Serra, B Saglio, F Colnaghi, A Biondi, J J M van Dongen, M van der Burg, M Gonzalez, M Alcoceba, G Barbany, M Hermanson, E Roosnek, C Steward, J Harvey, F Frommlet, P Bader.   

Abstract

Hematopoietic stem cell transplantation is becoming an increasingly important approach to treatment of different malignant and non-malignant disorders. There is thus growing demand for diagnostic assays permitting the surveillance of donor/recipient chimerism posttransplant. Current techniques are heterogeneous, rendering uniform evaluation and comparison of diagnostic results between centers difficult. Leading laboratories from 10 European countries have therefore performed a collaborative study supported by a European grant, the EuroChimerism Concerted Action, with the aim to develop a standardized diagnostic methodology for the detection and monitoring of chimerism in patients undergoing allogeneic stem cell transplantation. Following extensive analysis of a large set of microsatellite/short tandem repeat (STR) loci, the EuroChimerism (EUC) panel comprising 13 STR markers was established with the aim to optimally meet the specific requirements of quantitative chimerism analysis. Based on highly stringent selection criteria, the EUC panel provides multiple informative markers in any transplant setting. The standardized STR-PCR tests permit detection of donor- or recipient-derived cells at a sensitivity ranging between 0.8 and 1.6%. Moreover, the EUC assay facilitates accurate and reproducible quantification of donor and recipient hematopoietic cells. Wide use of the European-harmonized protocol for chimerism analysis presented will provide a basis for optimal diagnostic support and timely treatment decisions.

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Year:  2012        PMID: 22395360     DOI: 10.1038/leu.2012.66

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  20 in total

1.  Quantitative chimerism in CD3-negative mononuclear cells predicts prognosis in acute myeloid leukemia patients after hematopoietic stem cell transplantation.

Authors:  Anne Bouvier; Jérémie Riou; Sylvain Thépot; Aurélien Sutra Del Galy; Sylvie François; Aline Schmidt; Corentin Orvain; Marie-Hélène Estienne; Alban Villate; Damien Luque Paz; Laurane Cottin; Bénédicte Ribourtout; Annaëlle Beucher; Yves Delneste; Norbert Ifrah; Valérie Ugo; Mathilde Hunault-Berger; Odile Blanchet
Journal:  Leukemia       Date:  2019-11-25       Impact factor: 11.528

2.  Predictive genetic testing of a bone marrow recipient-ethical issues involving unexpected results, gender issues, test accuracy, and implications for the donor.

Authors:  A Sexton; L Rawlings; M Jenkins; I Winship
Journal:  J Genet Couns       Date:  2013-08-30       Impact factor: 2.537

3.  Detection and quantification of chimerism by droplet digital PCR.

Authors:  David George; Juliann Czech; Bobby John; Min Yu; Lawrence J Jennings
Journal:  Chimerism       Date:  2013-06-20

4.  Impact of T-cell chimerism on relapse after cord blood transplantation for hematological malignancies: Nagoya Blood and Marrow Transplantation Group study.

Authors:  E Yokohata; Y Kuwatsuka; H Ohashi; S Terakura; N Kawashima; A Seto; S Kurahashi; Y Ozawa; T Goto; N Imahashi; T Nishida; K Miyao; R Sakemura; T Kato; M Sawa; A Kohno; H Sao; H Iida; H Kiyoi; T Naoe; K Miyamura; M Murata
Journal:  Bone Marrow Transplant       Date:  2017-01-09       Impact factor: 5.483

5.  Correlation between microsatellite discrepancy scores and transplant outcome after haemopoietic SCT for pediatric ALL.

Authors:  J Harvey; A Green; S J Groves; J Cornish; J Moppett; M Cummins; L Keen; S Culliford; A Poles; W Hulme; Y Li; C G Steward
Journal:  Bone Marrow Transplant       Date:  2015-01-12       Impact factor: 5.483

6.  Chimerism analysis in peripheral blood using indel quantitative real-time PCR is a useful tool to predict post-transplant relapse in acute leukemia.

Authors:  N Jacque; S Nguyen; J-L Golmard; M Uzunov; A Garnier; V Leblond; J-P Vernant; D Bories; N Dhédin
Journal:  Bone Marrow Transplant       Date:  2014-11-10       Impact factor: 5.483

7.  Risk assessment of relapse by lineage-specific monitoring of chimerism in children undergoing allogeneic stem cell transplantation for acute lymphoblastic leukemia.

Authors:  Sandra Preuner; Christina Peters; Ulrike Pötschger; Helga Daxberger; Gerhard Fritsch; Rene Geyeregger; André Schrauder; Arend von Stackelberg; Martin Schrappe; Peter Bader; Wolfram Ebell; Cornelia Eckert; Peter Lang; Karl-Walter Sykora; Johanna Schrum; Bernhard Kremens; Karoline Ehlert; Michael H Albert; Roland Meisel; Anita Lawitschka; Georg Mann; Renate Panzer-Grümayer; Tayfun Güngör; Wolfgang Holter; Brigitte Strahm; Bernd Gruhn; Ansgar Schulz; Wilhelm Woessmann; Thomas Lion
Journal:  Haematologica       Date:  2016-02-11       Impact factor: 9.941

8.  Early donor chimerism levels predict relapse and survival after allogeneic stem cell transplantation with reduced-intensity conditioning.

Authors:  Ran Reshef; Elizabeth O Hexner; Alison W Loren; Noelle V Frey; Edward A Stadtmauer; Selina M Luger; James K Mangan; Saar I Gill; Pavel Vassilev; Kathryn A Lafferty; Jacqueline Smith; Vivianna M Van Deerlin; Rosemarie Mick; David L Porter
Journal:  Biol Blood Marrow Transplant       Date:  2014-07-10       Impact factor: 5.742

9.  Complete donor chimerism is a prerequisite for the effect of Predicted Indirectly ReCognizable HLA Epitopes (PIRCHE) on acute graft-versus-host disease.

Authors:  Kirsten A Thus; Roel A de Weger; Talitha A de Hoop; Valeria E Boers Trilles; Jürgen Kuball; Eric Spierings
Journal:  Chimerism       Date:  2015-12-15

10.  Influence of Mixed Chimerism on Outcome in Children With Anaemia After Haematopoietic Stem Cell Transplantation.

Authors:  Monika Lejman; Joanna Zawitkowska; Agnieszka Zaucha-Prażmo; Magdalena Cienkusz; Aleksandra Mroczkowska; Jerzy Kowalczyk; Katarzyna Drabko
Journal:  In Vivo       Date:  2019 Nov-Dec       Impact factor: 2.155

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