J 2021

Higher-order connections between stereotyped subsets: implications for improved patient classification in CLL

AGATHANGELIDIS, A., A. CHATZIDIMITRIOU, K. GEMENETZI, V. GIUDICELLI, M. KARYPIDOU et. al.

Basic information

Original name

Higher-order connections between stereotyped subsets: implications for improved patient classification in CLL

Authors

AGATHANGELIDIS, A., A. CHATZIDIMITRIOU, K. GEMENETZI, V. GIUDICELLI, M. KARYPIDOU, Karla PLEVOVÁ (203 Czech Republic, belonging to the institution), Z. DAVIS, X.J. YAN, S. JEROMIN, C. SCHNEIDER, L.B. PEDERSEN, R.C. TSCHUMPER, L.A. SUTTON, P. BALIAKAS, L. SCARFO, E.J. VAN GASTEL, M. ARMAND, E. TAUSCH, B. BIDERMAN, C. BAER, D. BAGNARA, A. NAVARRO, A.L. DE SEPTENVILLE, V. GUIDO, G. MITTERBAUER-HOHENDANNER, A. DIMOVSKI, C. BRIEGHEL, S. LAWLESS, M. MEGGENDORFER, Kamila STRÁNSKÁ (203 Czech Republic, belonging to the institution), M. RITGEN, M. FACCO, C. TRESOLDI, A. VISENTIN, A. PATRIARCA, M. CATHERWOOD, L. BONELLO, A. SUDARIKOV, K. VANURA, M. ROUMELIOTI, H.S. FRANCOVA, T. MOYSIADIS, S. VERONESE, K. GIANNOPOULOS, L. MANSOURI, T. KARAN-DJURASEVIC, R. SANDALTZOPOULOS, C. BODOR, F. FAIS, A. KATER, I. PANOVSKA, D. ROSSI, S. ALSHEMMARI, P. PANAGIOTIDIS, P. COSTEAS, B. ESPINET, D. ANTIC, L. FORONI, M. MONTILLO, L. TRENTIN, N. STAVROYIANNI, G. GAIDANO, P.F. DI CELLE, C. NIEMANN, E. CAMPO, A. ANAGNOSTOPOULOS, C. POTT, K. FISCHER, M. HALLEK, D. OSCIER, S. STILGENBAUER, C. HAFERLACH, D. JELINEK, N. CHIORAZZI, Šárka POSPÍŠILOVÁ (203 Czech Republic, guarantor, belonging to the institution), M.P. LEFRANC, S. KOSSIDA, A.W. LANGERAK, Cx. BELESSI, F. DAVI, R. ROSENQUIST, P. GHIA and K. STAMATOPOULOS

Edition

Blood, Washington DC, USA, American Society of Hematology, 2021, 0006-4971

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30205 Hematology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 25.476

RIV identification code

RIV/00216224:14740/21:00120185

Organization unit

Central European Institute of Technology

UT WoS

000646099500016

Keywords in English

B lymphocyte receptor; immunoglobulin; immunoglobulin heavy chain; immunoglobulin heavy chain

Tags

International impact, Reviewed
Změněno: 22/12/2021 16:51, Mgr. Pavla Foltynová, Ph.D.

Abstract

V originále

Chronic lymphocytic leukemia (CLL) is characterized by the existence of subsets of patients with (quasi)identical, stereotyped B-cell receptor (BcR) immunoglobulins. Patients in certain major stereotyped subsets often display remarkably consistent clinicobiological profiles, suggesting that the study of BcR immunoglobulin stereotypy in CLL has important implications for understanding disease pathophysiology and refining clinical decision-making. Nevertheless, several issues remain open, especially pertaining to the actual frequency of BcR immunoglobulin stereotypy and major subsets, as well as the existence of higher-order connections between individual subsets. To address these issues, we investigated clonotypic IGHV-IGHD-IGHJ gene rearrangements in a series of 29 856 patients with CLL, by far the largest series worldwide. We report that the stereotyped fraction of CLL peaks at 41% of the entire cohort and that all 19 previously identified major subsets retained their relative size and ranking, while 10 new ones emerged; overall, major stereotyped subsets had a cumulative frequency of 13.5%. Higher-level relationships were evident between subsets, particularly for major stereotyped subsets with unmutated IGHV genes (U-CLL), for which close relations with other subsets, termed "satellites," were identified. Satellite subsets accounted for 3% of the entire cohort. These results confirm our previous notion that major subsets can be robustly identified and are consistent in relative size, hence representing distinct disease variants amenable to compartmentalized research with the potential of overcoming the pronounced heterogeneity of CLL. Furthermore, the existence of satellite subsets reveals a novel aspect of repertoire restriction with implications for refined molecular classification of CLL.

Links

LQ1601, research and development project
Name: CEITEC 2020 (Acronym: CEITEC2020)
Investor: Ministry of Education, Youth and Sports of the CR
NV19-03-00091, research and development project
Name: Komplexní prognostický a prediktivní panel pro pacienty s chronickou lymfocytární leukémií: nástroj sekvenování nové generace vhodný pro klinickou praxi i studium genetického pozadí průběhu choroby
Investor: Ministry of Health of the CR