Despite significant improvements in treatment modalities over the 10 years, the clinical course of patients with follicular lymphoma (FL) remains heterogeneous. Thus, prognostic indexes are still required to direct treatment choices and for the design of clinical trials. Investigators have conducted a variety of studies aimed at integrated assessment of biological and clinical features in order to identify novel prognostic factors and scoring systems. Genetic studies focused on tumor cells and the tumor microenvironment represent a step forward in understanding the biology of FL and are likely to provide new prognostic tools for future clinical use. Several prognostic factors have been identified and are currently used in combination to establish prognostic scores and to support therapeutic decisions. The FL International Prognostic Index (FLIPI) is currently used for defining individual risk of death. More recently, FLIPI2 was developed by the same group that built FLIPI as a new model for prognostic definition of patients with FL. The model was defined using prospectively collected data from patients who also received the monoclonal therapeutic antibody rituximab and stratifies patients into three risk categories for disease progression. Since many biological factors are not yet clinically validated or easily assessable, clinical data still represent the major source of prognostic information. The progressive development of new and more effective therapies for the treatment of FL makes the study of prognosis a dynamic and evolving area of clinical research.

Prognostic tools in follicular lymphomas / Luminari, Stefano; Cox, M. C.; Montanini, Antonella; Federico, Massimo. - In: EXPERT REVIEW OF HEMATOLOGY. - ISSN 1747-4086. - STAMPA. - 2 (5):(2009), pp. 549-562. [10.1586/EHM.09.34]

Prognostic tools in follicular lymphomas

LUMINARI, Stefano;MONTANINI, Antonella;FEDERICO, Massimo
2009

Abstract

Despite significant improvements in treatment modalities over the 10 years, the clinical course of patients with follicular lymphoma (FL) remains heterogeneous. Thus, prognostic indexes are still required to direct treatment choices and for the design of clinical trials. Investigators have conducted a variety of studies aimed at integrated assessment of biological and clinical features in order to identify novel prognostic factors and scoring systems. Genetic studies focused on tumor cells and the tumor microenvironment represent a step forward in understanding the biology of FL and are likely to provide new prognostic tools for future clinical use. Several prognostic factors have been identified and are currently used in combination to establish prognostic scores and to support therapeutic decisions. The FL International Prognostic Index (FLIPI) is currently used for defining individual risk of death. More recently, FLIPI2 was developed by the same group that built FLIPI as a new model for prognostic definition of patients with FL. The model was defined using prospectively collected data from patients who also received the monoclonal therapeutic antibody rituximab and stratifies patients into three risk categories for disease progression. Since many biological factors are not yet clinically validated or easily assessable, clinical data still represent the major source of prognostic information. The progressive development of new and more effective therapies for the treatment of FL makes the study of prognosis a dynamic and evolving area of clinical research.
2009
2 (5)
549
562
Prognostic tools in follicular lymphomas / Luminari, Stefano; Cox, M. C.; Montanini, Antonella; Federico, Massimo. - In: EXPERT REVIEW OF HEMATOLOGY. - ISSN 1747-4086. - STAMPA. - 2 (5):(2009), pp. 549-562. [10.1586/EHM.09.34]
Luminari, Stefano; Cox, M. C.; Montanini, Antonella; Federico, Massimo
File in questo prodotto:
File Dimensione Formato  
Prognostic tools.....pdf

Accesso riservato

Tipologia: Versione pubblicata dall'editore
Dimensione 2.8 MB
Formato Adobe PDF
2.8 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/622928
Citazioni
  • ???jsp.display-item.citation.pmc??? 6
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 6
social impact