Literature DB >> 26181643

Predicting Prognosis in Chronic Lymphocytic Leukemia in the Contemporary Era.

Chadi Nabhan1, Gordana Raca2, Y Lynn Wang3.   

Abstract

IMPORTANCE: Next-generation sequencing has identified new genetic markers that have altered prognosis for patients with chronic lymphocytic leukemia (CLL) at diagnosis. Understanding the significance of these prognostic indicators and recognizing their potential impact on treatment selection and patients' outcomes is critical for clinicians and investigators.
OBJECTIVE: To review novel prognostic factors at CLL diagnosis that have shown an impact on the prognosis and outcomes of this disease. EVIDENCE REVIEW: Literature from January 2004 through December 2014 was searched in PubMed, Cochrane Central Register of Controlled Trials, and Scopus to identify English-language, peer-reviewed articles on clinical and prognostic factors for CLL (TP53, ATM, NOTCH1, SF3B1, BIRC3, and MYD88). Reference lists were subsequently reviewed for additional articles. A total of 450 articles was identified, and 48 articles meeting inclusion criteria were reviewed.
FINDINGS: Among prognostic markers reviewed, chromosomal aberrations have been validated and are currently used clinically to predict prognosis. Patients with 17p13.1 deletion have poor response to chemoimmunotherapy and are treated differently, with some undergoing allogeneic transplantation in first remission. CD38 and ZAP-70 status of malignant cells and unmutated immunoglobulin variable heavy chain gene have similarly been validated to predict adverse prognosis, but their implications on treatment selection have not been proven. The presence of TP53 and ATM mutations predicts worse prognosis, which has been corroborated in various studies. Patients with TP53 mutations have lower responses to chemoimmunotherapy. Furthermore, patients with TP53 and ATM mutations have inferior progression-free survival and overall survival, independent of other factors. Patients carrying the NOTCH1 and SF3B1 mutations have worse prognosis; patients with the NOTCH1 mutation have lower response rates to standard chemoimmunotherapy. The impact of BIRC3 on prognosis and survival requires further confirmation. CONCLUSIONS AND RELEVANCE: The heterogeneous clinical course of CLL is likely explained by underlying molecular prognostic factors. Moving forward, analyzing these factors at diagnosis is recommended for better prognostication.

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Year:  2015        PMID: 26181643     DOI: 10.1001/jamaoncol.2015.0779

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  23 in total

1.  GLP overexpression is associated with poor prognosis in Chronic Lymphocytic Leukemia and its inhibition induces leukemic cell death.

Authors:  Juliana Carvalho Alves-Silva; Juliana Lott de Carvalho; Doralina Amaral Rabello; Teresa Raquel Tavares Serejo; Eduardo Magalhaes Rego; Francisco Assis Rocha Neves; Antonio Roberto Lucena-Araujo; Fábio Pittella-Silva; Felipe Saldanha-Araujo
Journal:  Invest New Drugs       Date:  2018-05-31       Impact factor: 3.850

Review 2.  The role of idelalisib in the treatment of relapsed and refractory chronic lymphocytic leukemia.

Authors:  Kruti Sheth Nair; Bruce Cheson
Journal:  Ther Adv Hematol       Date:  2016-02-03

3.  Role of miR-15a/miR-16-1 and the TP53 axis in regulating telomerase expression in chronic lymphocytic leukemia.

Authors:  Enrica Rampazzo; Engin Bojnik; Livio Trentin; Laura Bonaldi; Paola Del Bianco; Federica Frezzato; Andrea Visentin; Monica Facco; Gianpietro Semenzato; Anita De Rossi
Journal:  Haematologica       Date:  2017-04-06       Impact factor: 9.941

4.  Mechanistic Insights into CpG DNA and IL-15 Synergy in Promoting B Cell Chronic Lymphocytic Leukemia Clonal Expansion.

Authors:  Rashmi Gupta; Xiao J Yan; Jacqueline Barrientos; Jonathan E Kolitz; Steven L Allen; Kanti Rai; Nicholas Chiorazzi; Patricia K A Mongini
Journal:  J Immunol       Date:  2018-08-01       Impact factor: 5.422

5.  The addition of ofatumumab to the conditioning regimen does not improve the outcome of patients with high-risk CLL undergoing reduced intensity allogeneic haematopoietic cell transplantation: a pilot trial from the GETH and GELLC (CLL4 trial).

Authors:  P Montesinos; M Cabrero; D Valcárcel; M Rovira; J A García-Marco; J Loscertales; C Moreno; R Duarte; M J Terol; N Villamor; P Abrisqueta; D Caballero; J Sanz; J Delgado
Journal:  Bone Marrow Transplant       Date:  2016-05-23       Impact factor: 5.483

6.  Unraveling KDM4 histone demethylase expression and its association with adverse cytogenetic findings in chronic lymphocytic leukemia.

Authors:  Luma Dayane de Carvalho Filiú-Braga; Teresa Raquel Tavares Serejo; Antonio Roberto Lucena-Araujo; Francisco Assis Rocha Neves; Juliana Lott de Carvalho; Eduardo Magalhaes Rego; Felipe Saldanha-Araujo
Journal:  Med Oncol       Date:  2018-11-13       Impact factor: 3.064

7.  Association between immunoglobulin heavy-chain variable region mutational status and isolated favorable baseline genomic aberrations in chronic lymphocytic leukemia.

Authors:  Jose D Sandoval-Sus; Julio C Chavez; Samir Dalia; Syeda Mahrukh Hussnain Naqvi; Chetasi Talati; Lisa Nodzon; Mohamed A Kharfan-Dabaja; Javier Pinilla-Ibarz
Journal:  Leuk Lymphoma       Date:  2017-06-22

8.  Simultaneous Analysis of Phenotype and Cytogenetics Using Imaging Flow Cytometry: Time to Teach Old Dogs New Tricks.

Authors:  Hans Minderman
Journal:  Cytometry A       Date:  2019-04-22       Impact factor: 4.355

Review 9.  Prognostic Factors in the Era of Targeted Therapies in CLL.

Authors:  Prajwal Boddu; Alessandra Ferrajoli
Journal:  Curr Hematol Malig Rep       Date:  2018-04       Impact factor: 3.952

10.  Dielectrophoretic recovery of DNA from plasma for the identification of chronic lymphocytic leukemia point mutations.

Authors:  Sareh Manouchehri; Stuart Ibsen; Jennifer Wright; Laura Rassenti; Emanuela M Ghia; George F Widhopf; Thomas J Kipps; Michael J Heller
Journal:  Int J Hematol Oncol       Date:  2016-05-05
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