Literature DB >> 30446494

Genomic alterations important for the prognosis in patients with follicular lymphoma treated in SWOG study S0016.

Xiaoyu Qu1, Hongli Li2, Rita M Braziel3, Verena Passerini4,5, Lisa M Rimsza6, Eric D Hsi7, John P Leonard8, Sonali M Smith9, Robert Kridel10, Oliver Press1, Oliver Weigert4,5, Michael LeBlanc2, Jonathan W Friedberg11, Min Fang1.   

Abstract

Although recent advances in molecular genetics have enabled improved risk classification of follicular lymphoma (FL) using, for example, the m7-FLIPI score, the impact on treatment has been limited. We aimed to assess the prognostic significance of copy-number aberrations (CNAs) and copy-neutral loss of heterozygosity (cnLOH) identified by chromosome genomic-array testing (CGAT) at FL diagnosis using prospectively collected clinical trial specimens from 255 patients enrolled in the SWOG study S0016. The impact of genomic aberrations was assessed for early progression (progressed or died within 2 years after registration), progression-free survival (PFS), and overall survival (OS). We showed that increased genomic complexity (ie, the total number of aberration calls) was associated with poor outcome in FL. Certain chromosome arms were critical for clinical outcome. Prognostic CNAs/cnLOH were identified: whereas early progression was correlated with 2p gain (P = .007; odds ratio [OR] = 2.55 [1.29, 5.03]) and 2p cnLOH (P = .005; OR = 10.9 [2.08, 57.2]), 2p gain specifically encompassing VRK2 and FANCL predicted PFS (P = .01; hazard ratio = 1.80 [1.14, 2.68]) as well as OS (P = .005; 2.40 [1.30, 4.40]); CDKN2A/B (9p) deletion correlated with worse PFS (P = .004, 3.50 [1.51, 8.28]); whereas CREBBP (16p) (P < .001; 6.70 [2.52, 17.58]) and TP53 (17p) (P < .001; 3.90 [1.85, 8.31]) deletion predicted worse OS. An independent cohort from the m7-FLIPI study was explored, and the prognostic significance of aberration count, and TP53 and CDKN2A/B deletion were further validated. In conclusion, assessing genomic aberrations at FL diagnosis with CGAT improves risk stratification independent of known clinical parameters, and provides a framework for development of future rational targeted therapies.
© 2019 by The American Society of Hematology.

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Year:  2018        PMID: 30446494      PMCID: PMC6318431          DOI: 10.1182/blood-2018-07-865428

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  36 in total

1.  Integrative analysis reveals an outcome-associated and targetable pattern of p53 and cell cycle deregulation in diffuse large B cell lymphoma.

Authors:  Stefano Monti; Bjoern Chapuy; Kunihiko Takeyama; Scott J Rodig; Yansheng Hao; Kelly T Yeda; Haig Inguilizian; Craig Mermel; Treeve Currie; Ahmet Dogan; Jeffery L Kutok; Rameen Beroukhim; Donna Neuberg; Thomas M Habermann; Gad Getz; Andrew L Kung; Todd R Golub; Margaret A Shipp
Journal:  Cancer Cell       Date:  2012-09-11       Impact factor: 31.743

2.  The BCL11 gene family: involvement of BCL11A in lymphoid malignancies.

Authors:  E Satterwhite; T Sonoki; T G Willis; L Harder; R Nowak; E L Arriola; H Liu; H P Price; S Gesk; D Steinemann; B Schlegelberger; D G Oscier; R Siebert; P W Tucker; M J Dyer
Journal:  Blood       Date:  2001-12-01       Impact factor: 22.113

3.  Recurrent somatic mutations affecting B-cell receptor signaling pathway genes in follicular lymphoma.

Authors:  Kilannin Krysiak; Felicia Gomez; Brian S White; Matthew Matlock; Christopher A Miller; Lee Trani; Catrina C Fronick; Robert S Fulton; Friederike Kreisel; Amanda F Cashen; Kenneth R Carson; Melissa M Berrien-Elliott; Nancy L Bartlett; Malachi Griffith; Obi L Griffith; Todd A Fehniger
Journal:  Blood       Date:  2016-11-14       Impact factor: 22.113

4.  Clinicogenetic risk models predict early progression of follicular lymphoma after first-line immunochemotherapy.

Authors:  Vindi Jurinovic; Robert Kridel; Annette M Staiger; Monika Szczepanowski; Heike Horn; Martin H Dreyling; Andreas Rosenwald; German Ott; Wolfram Klapper; Andrew D Zelenetz; Paul M Barr; Jonathan W Friedberg; Stephen Ansell; Laurie H Sehn; Joseph M Connors; Randy D Gascoyne; Wolfgang Hiddemann; Michael Unterhalt; David M Weinstock; Oliver Weigert
Journal:  Blood       Date:  2016-07-14       Impact factor: 22.113

Review 5.  Risk stratification in follicular lymphoma.

Authors:  Carla Casulo
Journal:  Best Pract Res Clin Haematol       Date:  2017-11-22       Impact factor: 3.020

Review 6.  Current prognostic and predictive factors in follicular lymphoma.

Authors:  Marc Sorigue; Juan-Manuel Sancho
Journal:  Ann Hematol       Date:  2017-10-14       Impact factor: 3.673

7.  Early event status informs subsequent outcome in newly diagnosed follicular lymphoma.

Authors:  Matthew J Maurer; Emmanuel Bachy; Hervé Ghesquières; Stephen M Ansell; Grzegorz S Nowakowski; Carrie A Thompson; David J Inwards; Cristine Allmer; Catherine Chassagne-Clément; Emmanuelle Nicolas-Virelizier; Catherine Sebban; Laure Lebras; Clementine Sarkozy; William R Macon; Andrew L Feldman; Sergei I Syrbu; Alexandra Traverse-Glehan; Bertrand Coiffier; Susan L Slager; George J Weiner; Thomas E Witzig; Thomas M Habermann; Gilles Salles; James R Cerhan; Brian K Link
Journal:  Am J Hematol       Date:  2016-09-03       Impact factor: 10.047

8.  Follicular lymphoma international prognostic index.

Authors:  Philippe Solal-Céligny; Pascal Roy; Philippe Colombat; Josephine White; Jim O Armitage; Reyes Arranz-Saez; Wing Y Au; Monica Bellei; Pauline Brice; Dolores Caballero; Bertrand Coiffier; Eulogio Conde-Garcia; Chantal Doyen; Massimo Federico; Richard I Fisher; Javier F Garcia-Conde; Cesare Guglielmi; Anton Hagenbeek; Corinne Haïoun; Michael LeBlanc; Andrew T Lister; Armando Lopez-Guillermo; Peter McLaughlin; Noël Milpied; Pierre Morel; Nicolas Mounier; Stephen J Proctor; Ama Rohatiner; Paul Smith; Pierre Soubeyran; Hervé Tilly; Umberto Vitolo; Pier-Luigi Zinzani; Emanuele Zucca; Emili Montserrat
Journal:  Blood       Date:  2004-05-04       Impact factor: 22.113

9.  Progression in smoldering myeloma is independently determined by the chromosomal abnormalities del(17p), t(4;14), gain 1q, hyperdiploidy, and tumor load.

Authors:  Kai Neben; Anna Jauch; Thomas Hielscher; Jens Hillengass; Nicola Lehners; Anja Seckinger; Martin Granzow; Marc S Raab; Anthony D Ho; Hartmut Goldschmidt; Dirk Hose
Journal:  J Clin Oncol       Date:  2013-10-21       Impact factor: 44.544

10.  A comparative analysis of prognostic factor models for follicular lymphoma based on a phase III trial of CHOP-rituximab versus CHOP + 131iodine--tositumomab.

Authors:  Oliver W Press; Joseph M Unger; Lisa M Rimsza; Jonathan W Friedberg; Michael LeBlanc; Myron S Czuczman; Mark Kaminski; Rita M Braziel; Catherine Spier; Ajay K Gopal; David G Maloney; Bruce D Cheson; Shaker R Dakhil; Thomas P Miller; Richard I Fisher
Journal:  Clin Cancer Res       Date:  2013-10-15       Impact factor: 12.531

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  9 in total

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Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

Review 2.  Biological and clinical significance of epigenetic alterations in B-cell lymphomas.

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Journal:  Int J Hematol       Date:  2022-10-08       Impact factor: 2.319

3.  Prognostic impact of nutritional and inflammation-based risk scores in follicular lymphoma in the era of anti-CD20 targeted treatment strategies.

Authors:  Niklas Gebauer; Britta Mengler; Svenja Kopelke; Alex Frydrychowicz; Alexander Fürschke; Carsten Hackenbroch; Arthur Bauer; Armin Riecke; Nikolaus von Bubnoff; Sebastian Fetscher; Hanno M Witte
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4.  Associations between Smoking and Alcohol and Follicular Lymphoma Incidence and Survival: A Family-Based Case-Control Study in Australia.

Authors:  Michael K Odutola; Marina T van Leeuwen; Jennifer Turner; Fiona Bruinsma; John F Seymour; Henry M Prince; Samuel T Milliken; Judith Trotman; Emma Verner; Campbell Tiley; Fernando Roncolato; Craig R Underhill; Stephen S Opat; Michael Harvey; Mark Hertzberg; Geza Benke; Graham G Giles; Claire M Vajdic
Journal:  Cancers (Basel)       Date:  2022-05-30       Impact factor: 6.575

Review 5.  Novel Therapy Approaches to Follicular Lymphoma.

Authors:  Michael Northend; William Townsend
Journal:  Drugs       Date:  2021-03       Impact factor: 9.546

6.  Genetic complexity impacts the clinical outcome of follicular lymphoma patients.

Authors:  María García-Álvarez; Sara Alonso-Álvarez; Isabel Prieto-Conde; Cristina Jiménez; M Eugenia Sarasquete; M Carmen Chillón; Alejandro Medina; Ana Balanzategui; Rebeca Maldonado; Alicia Antón; Marta Rodríguez; Oscar Blanco; Luis G Díaz; Pilar Tamayo; Pedro Blanco; Carmen Esteban; Verónica González-Calle; Noemí Puig; Norma Gutiérrez; Alejandro Martín; Ramón García-Sanz; Marcos González; M Dolores Caballero; Miguel Alcoceba
Journal:  Blood Cancer J       Date:  2021-01-11       Impact factor: 11.037

7.  Circulating tumor DNA for comprehensive noninvasive monitoring of lymphoma treated with ibrutinib plus nivolumab.

Authors:  Alessio Bruscaggin; Lodovico Terzi di Bergamo; Valeria Spina; Brendan Hodkinson; Gabriela Forestieri; Ferdinando Bonfiglio; Adalgisa Condoluci; Wei Wu; Maria C Pirosa; Martin R Faderl; Ricardo Koch; Michael Schaffer; John D Alvarez; Nele Fourneau; Bernhard Gerber; Georg Stussi; Emanuele Zucca; Sriram Balasubramanian; Davide Rossi
Journal:  Blood Adv       Date:  2021-11-23

8.  Follicular lymphoma polygenic risk score is associated with increased disease risk but improved overall survival among women in a population based case-control in Los Angeles County California.

Authors:  Charlie Zhong; Chun R Chao; Joo Y Song; Dennis D Weisenburger; Jianning Luo; Yuan Chun Ding; Susan L Neuhausen; Leslie Bernstein; Wendy Cozen; Sophia S Wang
Journal:  Cancer Epidemiol       Date:  2020-02-21       Impact factor: 2.890

9.  An Immune-Clinical Prognostic Index (ICPI) for Patients With De Novo Follicular Lymphoma Treated With R-CHOP/CHOP Chemotherapy.

Authors:  Yaxiao Lu; Jingwei Yu; Wenchen Gong; Liping Su; Xiuhua Sun; Ou Bai; Hui Zhou; Xue Guan; Tingting Zhang; Lanfang Li; Lihua Qiu; Zhengzi Qian; Shiyong Zhou; Bin Meng; Xiubao Ren; Xianhuo Wang; Huilai Zhang
Journal:  Front Oncol       Date:  2021-07-13       Impact factor: 6.244

  9 in total

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