Literature DB >> 31119485

Follicular Lymphoma: Diagnostic and Prognostic Considerations in Initial Treatment Approach.

Kirsten M Boughan1,2, Paolo F Caimi3,4.   

Abstract

PURPOSE OF REVIEW: Follicular lymphoma is a diverse disease, with a diverse variable biology, clinical presentation, and prognosis. The identification of factors that can predict the specific outcome of follicular lymphoma patients remains an area of need. Here, we review the significant advances made in follicular lymphoma prognosis in the last two decades, particularly with the advent of new genetic models. RECENT
FINDINGS: Tumor burden remains an important predictor of prognosis and is still a standard upon which treatment initiation decisions are made. Clinical prognostic indices, including the follicular lymphoma international prognostic index (FLIPI) and FLIPI-2, are validated to predict overall survival and progression-free survival, respectively. However, clinical decisions are rarely made based on these and other indices. Recently described molecular abnormalities in follicular lymphoma include those involving epigenetic regulation, cell-surface receptor signaling, and those controlling the interactions of the follicular lymphoma cell with the microenvironment. Clinicogenetic indices, such as the m7-FLIPI, take into account molecular information and provide a more accurate prognostic prediction than clinical indices. Significant advances have been made in the development of predictive models of risk in follicular lymphoma, in particular with the incorporation of genetic information to predict risk. New models are capable of identifying groups of patients at highest risk of progression. However, it is not yet possible to predict the specific clinical course of a particular patient based on baseline factors. Continued research is needed to identify patients at highest risk of failing initial therapy and the therapeutic approaches to improve their outcomes.

Entities:  

Keywords:  Follicular lymphoma; Prognostic indices

Year:  2019        PMID: 31119485     DOI: 10.1007/s11912-019-0808-0

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  70 in total

1.  Clinical quantitation of immune signature in follicular lymphoma by RT-PCR-based gene expression profiling.

Authors:  Richard J Byers; Ebrahim Sakhinia; Preethi Joseph; Caroline Glennie; Judith A Hoyland; Lia P Menasce; John A Radford; Timothy Illidge
Journal:  Blood       Date:  2008-01-03       Impact factor: 22.113

2.  Human follicular lymphoma cells contain oligomannose glycans in the antigen-binding site of the B-cell receptor.

Authors:  Catherine M Radcliffe; James N Arnold; David M Suter; Mark R Wormald; David J Harvey; Louise Royle; Yusuke Mimura; Yoshinobu Kimura; Robert B Sim; Susana Inogès; Mercedes Rodriguez-Calvillo; Natalia Zabalegui; Ascensión López-Díaz de Cerio; Kathleen N Potter; C Ian Mockridge; Raymond A Dwek; Maurizio Bendandi; Pauline M Rudd; Freda K Stevenson
Journal:  J Biol Chem       Date:  2006-12-29       Impact factor: 5.157

3.  Intensity of 18fluorodeoxyglucose uptake in positron emission tomography distinguishes between indolent and aggressive non-Hodgkin's lymphoma.

Authors:  Heiko Schöder; Ariela Noy; Mithat Gönen; Lijun Weng; David Green; Yusuf E Erdi; Steven M Larson; Henry W D Yeung
Journal:  J Clin Oncol       Date:  2005-04-18       Impact factor: 44.544

4.  High numbers of tumor-infiltrating FOXP3-positive regulatory T cells are associated with improved overall survival in follicular lymphoma.

Authors:  Joaquim Carreras; Armando Lopez-Guillermo; Bridget C Fox; Lluis Colomo; Antonio Martinez; Giovanna Roncador; Emili Montserrat; Elias Campo; Alison H Banham
Journal:  Blood       Date:  2006-07-06       Impact factor: 22.113

5.  Cytomorphologic, immunohistochemical, and cytogenetic profiles of follicular lymphoma: 2 types of follicular lymphoma grade 3.

Authors:  German Ott; Tiemo Katzenberger; Andreas Lohr; Steffi Kindelberger; Thomas Rüdiger; Martin Wilhelm; Jörg Kalla; Andreas Rosenwald; Justus G Müller; M Michaela Ott; Hans Konrad Müller-Hermelink
Journal:  Blood       Date:  2002-05-15       Impact factor: 22.113

6.  Long-term outcome and mortality trends in early-stage, Grade 1-2 follicular lymphoma treated with radiation therapy.

Authors:  Beverly A Guadagnolo; Sigui Li; Donna Neuberg; Andrea Ng; Ling Hua; Barbara Silver; Mary Ann Stevenson; Peter Mauch
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-10-21       Impact factor: 7.038

7.  The Follicular Lymphoma International Prognostic Index (FLIPI) separates high-risk from intermediate- or low-risk patients with advanced-stage follicular lymphoma treated front-line with rituximab and the combination of cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) with respect to treatment outcome.

Authors:  Christian Buske; Eva Hoster; Martin Dreyling; Joerg Hasford; Michael Unterhalt; Wolfgang Hiddemann
Journal:  Blood       Date:  2006-05-11       Impact factor: 22.113

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.  A high tumor-associated macrophage content predicts favorable outcome in follicular lymphoma patients treated with rituximab and cyclophosphamide-doxorubicin-vincristine-prednisone.

Authors:  Minna Taskinen; Marja-Liisa Karjalainen-Lindsberg; Heidi Nyman; Leena-Maija Eerola; Sirpa Leppä
Journal:  Clin Cancer Res       Date:  2007-10-01       Impact factor: 12.531

10.  Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells.

Authors:  Sandeep S Dave; George Wright; Bruce Tan; Andreas Rosenwald; Randy D Gascoyne; Wing C Chan; Richard I Fisher; Rita M Braziel; Lisa M Rimsza; Thomas M Grogan; Thomas P Miller; Michael LeBlanc; Timothy C Greiner; Dennis D Weisenburger; James C Lynch; Julie Vose; James O Armitage; Erlend B Smeland; Stein Kvaloy; Harald Holte; Jan Delabie; Joseph M Connors; Peter M Lansdorp; Qin Ouyang; T Andrew Lister; Andrew J Davies; Andrew J Norton; H Konrad Muller-Hermelink; German Ott; Elias Campo; Emilio Montserrat; Wyndham H Wilson; Elaine S Jaffe; Richard Simon; Liming Yang; John Powell; Hong Zhao; Neta Goldschmidt; Michael Chiorazzi; Louis M Staudt
Journal:  N Engl J Med       Date:  2004-11-18       Impact factor: 91.245

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