J 2019

Quality control and quantification in IG/TR next-generation sequencing marker identification: protocols and bioinformatic functionalities by EuroClonality-NGS

KNECHT, H., Tomáš REIGL, M. KOTROVA, F. APPELT, P. STEWART et. al.

Basic information

Original name

Quality control and quantification in IG/TR next-generation sequencing marker identification: protocols and bioinformatic functionalities by EuroClonality-NGS

Authors

KNECHT, H. (276 Germany), Tomáš REIGL (203 Czech Republic, belonging to the institution), M. KOTROVA (276 Germany), F. APPELT (276 Germany), P. STEWART (372 Ireland), Vojtěch BYSTRÝ (203 Czech Republic, belonging to the institution), Adam KREJČÍ (203 Czech Republic, belonging to the institution), A. GRIONI (380 Italy), Karol PÁL (703 Slovakia, belonging to the institution), Kamila STRÁNSKÁ (203 Czech Republic, belonging to the institution), Karla PLEVOVÁ (203 Czech Republic, belonging to the institution), J. RIJNTJES (528 Netherlands), S. SONGIA (380 Italy), M. SVATON (203 Czech Republic), E. FRONKOVA (826 United Kingdom of Great Britain and Northern Ireland), J. BARTRAM (528 Netherlands), B. SCHEIJEN (276 Germany), D. HERRMANN (276 Germany), R. GARCIA-SANZ (724 Spain), J. HANCOCK (826 United Kingdom of Great Britain and Northern Ireland), J. MOPPETT (826 United Kingdom of Great Britain and Northern Ireland), J.J.M. VAN DONGEN (528 Netherlands), G. CAZZANIGA (380 Italy), F. DAVI (250 France), P.J.T.A. GROENEN (528 Netherlands), M. HUMMEL (276 Germany), E.A. MACINTYRE (250 France), K. STAMATOPOULOS (300 Greece), J. TRKA (203 Czech Republic), A.W. LANGERAK (528 Netherlands), D. GONZALEZ (372 Ireland), C. POTT (276 Germany), M. BRUGGEMANN (276 Germany) and Nikos DARZENTAS (300 Greece, guarantor, belonging to the institution)

Edition

Leukemia, London, Nature Publishing Group, 2019, 0887-6924

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30204 Oncology

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 8.665

RIV identification code

RIV/00216224:14740/19:00108523

Organization unit

Central European Institute of Technology

UT WoS

000484399300010

Keywords in English

MINIMAL RESIDUAL DISEASE; ACUTE LYMPHOBLASTIC-LEUKEMIA; CELL LYMPHOMA; IMMUNOGLOBULIN; PCR; STANDARDIZATION; PRIMERS; RELAPSE; RISK

Tags

International impact, Reviewed
Změněno: 8/3/2020 19:44, Mgr. Pavla Foltynová, Ph.D.

Abstract

V originále

Assessment of clonality, marker identification and measurement of minimal residual disease (MRD) of immunoglobulin (IG) and T cell receptor (TR) gene rearrangements in lymphoid neoplasms using next-generation sequencing (NGS) is currently under intensive development for use in clinical diagnostics. So far, however, there is a lack of suitable quality control (QC) options with regard to standardisation and quality metrics to ensure robust clinical application of such approaches. The EuroClonality-NGS Working Group has therefore established two types of QCs to accompany the NGS-based IG/TR assays. First, a central polytarget QC (cPT-QC) is used to monitor the primer performance of each of the EuroClonality multiplex NGS assays; second, a standardised human cell line-based DNA control is spiked into each patient DNA sample to work as a central in-tube QC and calibrator for MRD quantification (cIT-QC). Having integrated those two reference standards in the ARResT/Interrogate bioinformatic platform, EuroClonality-NGS provides a complete protocol for standardised IG/TR gene rearrangement analysis by NGS with high reproducibility, accuracy and precision for valid marker identification and quantification in diagnostics of lymphoid malignancies.

Links

LM2015085, research and development project
Name: CERIT Scientific Cloud (Acronym: CERIT-SC)
Investor: Ministry of Education, Youth and Sports of the CR, CERIT Scientific Cloud
NV16-34272A, research and development project
Name: Encyklopedie CLL podskupin: unikátní znalostní databáze vybavená bioinformatickými nástroji použitelná v personalizované biomedicíně a klinické praxi