Literature DB >> 16211545

Zeta-chain associated protein 70 and CD38 combined predict the time to first treatment in patients with chronic lymphocytic leukemia.

Ilaria Del Giudice1, Alison Morilla, Nnenna Osuji, Estella Matutes, Ricardo Morilla, Anna Burford, Sonia Maravelaki, Kwasi Owusu-Ankomah, John Swansbury, Roger A'Hern, Vasantha Brito-Babapulle, Daniel Catovsky.   

Abstract

BACKGROUND: Zeta-chain associated protein (ZAP)-70 has been proposed as a surrogate marker for immunoglobulin heavy-chain variable region (IgVH) mutation in chronic lymphocytic leukemia (CLL), but it is still not clear whether it is an independent prognostic factor.
METHODS: The authors evaluated ZAP-70 expression by flow cytometry in 201 untreated patients and correlated ZAP-70 levels with CD38 expression, genetic abnormalities detected by fluorescence in situ hybridization (FISH), and the time from diagnosis to first treatment.
RESULTS: Fifty-seven patients (28%) were positive for ZAP-70 (> or = 20%). Positive ZAP-70 status was associated with advanced disease stage, atypical morphology, CD38-positive status, trisomy 12, del(6q), or no detectable abnormalities; negative ZAP-70 status was correlated with del(13q) as a sole abnormality. The treatment-free interval (TFI) was 17.7 months for ZAP-70-positive patients and 44.6 months for ZAP-70-negative patients (P < 0.001). Multivariate analysis in 117 patients identified advanced stage, CD38 > or = 7%, and the absence of del(13q) as a sole abnormality as independent factors for short TFI. Excluding FISH, ZAP-70 status acquired independent prognostic value along with CD38 status. The authors proposed a risk model that combines ZAP-70 and CD38 to identify patients who are likely to progress. When both markers were positive, the TFI was 12 months; when both were negative, the median TFI was 54 months; a median TFI of 26 months was observed in patients who had discordant results (P < 0.00001).
CONCLUSIONS: The current findings suggested that both ZAP-70 and CD38 should be tested prospectively in all patients with early-stage CLL. Copyright 2005 American Cancer Society

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16211545     DOI: 10.1002/cncr.21437

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  10 in total

1.  Prognostic factors identified three risk groups in the LRF CLL4 trial, independent of treatment allocation.

Authors:  David Oscier; Rachel Wade; Zadie Davis; Alison Morilla; Giles Best; Sue Richards; Monica Else; Estella Matutes; Daniel Catovsky
Journal:  Haematologica       Date:  2010-05-29       Impact factor: 9.941

2.  White blood cell count at diagnosis and immunoglobulin variable region gene mutations are independent predictors of treatment-free survival in young patients with stage A chronic lymphocytic leukemia.

Authors:  Ilaria Del Giudice; Francesca Romana Mauro; Maria Stefania De Propris; Simona Santangelo; Marilisa Marinelli; Nadia Peragine; Valeria Di Maio; Mauro Nanni; Rita Barzotti; Francesca Mancini; Daniele Armiento; Francesca Paoloni; Anna Guarini; Robin Foà
Journal:  Haematologica       Date:  2010-12-29       Impact factor: 9.941

3.  Relative value of ZAP-70, CD38, and immunoglobulin mutation status in predicting aggressive disease in chronic lymphocytic leukemia.

Authors:  Laura Z Rassenti; Sonia Jain; Michael J Keating; William G Wierda; Michael R Grever; John C Byrd; Neil E Kay; Jennifer R Brown; John G Gribben; Donna S Neuberg; Feng He; Andrew W Greaves; Kanti R Rai; Thomas J Kipps
Journal:  Blood       Date:  2008-06-24       Impact factor: 22.113

4.  CXCL12-induced chemotaxis is impaired in T cells from patients with ZAP-70-negative chronic lymphocytic leukemia.

Authors:  Mercedes Borge; Paula Romina Nannini; Jeremías Gastón Galletti; Pablo Elías Morande; Julio Sánchez Avalos; Raimundo Fernando Bezares; Mirta Giordano; Romina Gamberale
Journal:  Haematologica       Date:  2010-02-09       Impact factor: 9.941

5.  Prognostic factors in CLL.

Authors:  M Ferrarini; G Cutrona; A Neri; F Morabito
Journal:  Leuk Suppl       Date:  2012-08-09

6.  Multivariable model for time to first treatment in patients with chronic lymphocytic leukemia.

Authors:  William G Wierda; Susan O'Brien; Xuemei Wang; Stefan Faderl; Alessandra Ferrajoli; Kim-Anh Do; Guillermo Garcia-Manero; Jorge Cortes; Deborah Thomas; Charles A Koller; Jan A Burger; Susan Lerner; Ellen Schlette; Lynne Abruzzo; Hagop M Kantarjian; Michael J Keating
Journal:  J Clin Oncol       Date:  2011-10-03       Impact factor: 44.544

Review 7.  Prognostic factors in chronic lymphocytic leukemia-what do we need to know?

Authors:  Paula Cramer; Michael Hallek
Journal:  Nat Rev Clin Oncol       Date:  2010-10-19       Impact factor: 66.675

8.  Improved ZAP-70 assay using two clones, multiple methods of analysis and clinical correlation.

Authors:  Heba A Degheidy; David J Venzon; Mohammed Z H Farooqui; Fatima Abbasi; Diane C Arthur; Wyndham H Wilson; Adrian Wiestner; M A Stetler-Stevenson; Gerald E Marti
Journal:  Cytometry B Clin Cytom       Date:  2011-04-06       Impact factor: 3.058

9.  Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis.

Authors:  Nina Kreuzberger; Johanna Aag Damen; Marialena Trivella; Lise J Estcourt; Angela Aldin; Lisa Umlauff; Maria Dla Vazquez-Montes; Robert Wolff; Karel Gm Moons; Ina Monsef; Farid Foroutan; Karl-Anton Kreuzer; Nicole Skoetz
Journal:  Cochrane Database Syst Rev       Date:  2020-07-31

10.  Longitudinal copy number, whole exome and targeted deep sequencing of 'good risk' IGHV-mutated CLL patients with progressive disease.

Authors:  M J J Rose-Zerilli; J Gibson; J Wang; W Tapper; Z Davis; H Parker; M Larrayoz; H McCarthy; R Walewska; J Forster; A Gardiner; A J Steele; C Chelala; S Ennis; A Collins; C C Oakes; D G Oscier; J C Strefford
Journal:  Leukemia       Date:  2016-02-05       Impact factor: 11.528

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.