Literature DB >> 31919133

The Number of Signaling Pathways Altered by Driver Mutations in Chronic Lymphocytic Leukemia Impacts Disease Outcome.

Christian Brieghel1, Caspar da Cunha-Bang1, Christina Westmose Yde2, Ane Yde Schmidt2, Savvas Kinalis2, Ferran Nadeu3,4, Michael Asger Andersen1, Line Offenbach Jacobsen2, Mette Klarskov Andersen5, Lone Bredo Pedersen1, Julio Delgado3,4,6, Tycho Baumann6, Mattias Mattsson7,8, Larry Mansouri9, Richard Rosenquist9, Elias Campo3,4,6,10, Finn Cilius Nielsen2, Carsten Utoft Niemann11.   

Abstract

PURPOSE: Investigation of signaling pathways altered by recurrent gene mutations and their clinical impact in a consecutive cohort of patients with newly diagnosed chronic lymphocytic leukemia (CLL). The heterogeneous clinical course and genetic complexity of CLL warrant improved molecular prognostication. However, the prognostic value of recurrent mutations at the time of diagnosis remains unclear. EXPERIMENTAL
DESIGN: We sequenced samples from 314 consecutive, newly diagnosed patients with CLL to investigate the clinical impact of 56 recurrently mutated genes assessed by next-generation sequencing.
RESULTS: Mutations were identified in 70% of patients with enrichment among IGHV unmutated cases. With 6.5 years of follow-up, 15 mutated genes investigated at the time of diagnosis demonstrated significant impact on time to first treatment (TTFT). Carrying driver mutations was associated with shorter TTFT and poor overall survival. For outcome from CLL diagnosis, the number of signaling pathways altered by driver mutations stratified patients better than the number of driver mutations. Moreover, we demonstrated gradual impact on TTFT with increasing number of altered pathways independent of CLL-IPI risk. Thus, a 25-gene, pathway-based biomarker assessing recurrent mutations refines prognostication in CLL, in particular for CLL-IPI low- and intermediate-risk patients. External validation emphasized that a broad gene panel including low burden mutations was key for the biomarker based on altered pathways.
CONCLUSIONS: We propose to include the number of pathways altered by driver mutations as a biomarker together with CLL-IPI in prospective studies of CLL from time of diagnosis for incorporation into clinical care and personalized follow-up and treatment. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 31919133     DOI: 10.1158/1078-0432.CCR-18-4158

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  4 in total

1.  Tumor mutational load predicts time to first treatment in chronic lymphocytic leukemia (CLL) and monoclonal B-cell lymphocytosis beyond the CLL international prognostic index.

Authors:  Geffen Kleinstern; Daniel R O'Brien; Xing Li; Shulan Tian; Brian F Kabat; Kari G Rabe; Aaron D Norman; Huihuang Yan; Celine M Vachon; Nicholas J Boddicker; Timothy G Call; Sameer A Parikh; Laura Bruins; Cecilia Bonolo de Campos; Jose F Leis; Tait D Shanafelt; Wei Ding; James R Cerhan; Neil E Kay; Susan L Slager; Esteban Braggio
Journal:  Am J Hematol       Date:  2020-05-07       Impact factor: 10.047

2.  Pre-diagnostic trajectories of lymphocytosis predict time to treatment and death in patients with chronic lymphocytic leukemia.

Authors:  Michael Asger Andersen; Mia Klinten Grand; Christian Brieghel; Volkert Siersma; Christen Lykkegaard Andersen; Carsten Utoft Niemann
Journal:  Commun Med (Lond)       Date:  2022-05-12

Review 3.  The Evolving Landscape of Chronic Lymphocytic Leukemia on Diagnosis, Prognosis and Treatment.

Authors:  Claudia Pérez-Carretero; Isabel González-Gascón-Y-Marín; Ana E Rodríguez-Vicente; Miguel Quijada-Álamo; José-Ángel Hernández-Rivas; María Hernández-Sánchez; Jesús María Hernández-Rivas
Journal:  Diagnostics (Basel)       Date:  2021-05-10

4.  Biological significance of monoallelic and biallelic BIRC3 loss in del(11q) chronic lymphocytic leukemia progression.

Authors:  José Luis Ordóñez; Jesús-María Hernández-Rivas; Miguel Quijada-Álamo; María Hernández-Sánchez; Ana-Eugenia Rodríguez-Vicente; Claudia Pérez-Carretero; Alberto Rodríguez-Sánchez; Marta Martín-Izquierdo; Verónica Alonso-Pérez; Ignacio García-Tuñón; José María Bastida; María Jesús Vidal-Manceñido; Josefina Galende; Carlos Aguilar; José Antonio Queizán; Isabel González-Gascón Y Marín; José-Ángel Hernández-Rivas; Rocío Benito
Journal:  Blood Cancer J       Date:  2021-07-09       Impact factor: 11.037

  4 in total

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