Literature DB >> 17124075

Optimal use of prognostic factors in non-Hodgkin lymphoma.

Laurie H Sehn1.   

Abstract

The management of non-Hodgkin lymphoma is complicated by wide heterogeneity within recognized subtypes. Patients with supposedly similar diagnoses can have remarkably varied clinical presentations, molecular profiles and clinical outcomes. Reliable prognostic markers could allow the identification of patient subsets that may benefit from alternate approaches. Historically, a large number of clinical and molecular prognostic factors have been elucidated. However, the recent introduction of new therapies such as monoclonal antibodies has revolutionized treatment practices and greatly improved outcomes. This has called into question the value of previously recognized prognostic factors that need to be revalidated in the era of immunochemotherapy. It would appear that the commonly used clinical indices (IPI and FLIPI) retain predictive capacity, although they may have limited ability to identify a very poor outcome group. Currently there are no molecular markers that have been revalidated and shown to retain significance in the setting of current treatment practices for diffuse large B-cell lymphoma or follicular lymphoma. The biologic insights provided by molecular studies should allow for more targeted therapies to be developed, which will increase treatment choice and the possibility of tailored therapy in the future. It is imperative that future steps forward be made in the context of well-designed clinical trials with prospective correlative studies of clinical and biologic markers. This will allow us to continuously assess outcome predictors in the context of treatment change and to rationally design tailored treatment algorithms.

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Year:  2006        PMID: 17124075     DOI: 10.1182/asheducation-2006.1.295

Source DB:  PubMed          Journal:  Hematology Am Soc Hematol Educ Program        ISSN: 1520-4383


  8 in total

1.  Clinical implications and prognostic role of minimal residual disease detection in follicular lymphoma.

Authors:  Chiara Lobetti-Bodoni; Barbara Mantoan; Luigia Monitillo; Elisa Genuardi; Daniela Drandi; Daniela Barbero; Elisa Bernocco; Mario Boccadoro; Marco Ladetto
Journal:  Ther Adv Hematol       Date:  2013-06

2.  Outcome as a measure of quality of care in oncology: experience at sultan qaboos university hospital, oman.

Authors:  Ikram A Burney; Mansour S Al Moundhri; Azhar J Rizvi; Shyam S Ganguly; Rashid Al Abri; Rafi A Ashrafi
Journal:  Sultan Qaboos Univ Med J       Date:  2008-03

3.  Poor prognostic impact of high serum ferritin levels in patients with a lower risk of diffuse large B cell lymphoma.

Authors:  Da Jung Kim; Taeyun Kim; Jee-Yeong Jeong; Jae-Cheol Jo; Won Sik Lee; Ho-Jin Shin; Ji Hyun Lee; Ho Sup Lee
Journal:  Int J Hematol       Date:  2020-01-06       Impact factor: 2.490

4.  Prognostic Factors in Patients with Low-Grade Nonhodgkin Lymphoma.

Authors:  Pınar Cömert; Abdulkerim Yıldız; Murat Yıldırım; Hacer Berna Afacan Öztürk; Çiğdem Pala; Murat Albayrak; Meltem Aylı
Journal:  Indian J Hematol Blood Transfus       Date:  2019-08-06       Impact factor: 0.900

Review 5.  [Treatment of aggressive lymphomas].

Authors:  B Gleissner; C Zwick; M Pfreundschuh
Journal:  Internist (Berl)       Date:  2007-04       Impact factor: 0.743

6.  Clinical Significance of ALK-1 Gene Abnormalities in Diffuse Large Cell Lymphoma.

Authors:  L Korashy; H El-Zawahry; S Abdou; D Shahin; F Sherif; W Farrag; O Abdel-Khalik; H Salem; A El-Sebaaie
Journal:  Clin Med Insights Oncol       Date:  2012-11-26

7.  FilGAP, a Rac-specific Rho GTPase-activating protein, is a novel prognostic factor for follicular lymphoma.

Authors:  Tatsuya Nishi; Hiroyuki Takahashi; Miki Hashimura; Tsutomu Yoshida; Yasutaka Ohta; Makoto Saegusa
Journal:  Cancer Med       Date:  2015-01-29       Impact factor: 4.452

8.  Colorectal cancer DNA methylation marker panel validated with high performance in Non-Hodgkin lymphoma.

Authors:  Nicole Bethge; Ragnhild A Lothe; Hilde Honne; Kim Andresen; Gunhild Trøen; Mette Eknæs; Knut Liestøl; Harald Holte; Jan Delabie; Erlend B Smeland; Guro E Lind
Journal:  Epigenetics       Date:  2013-12-20       Impact factor: 4.528

  8 in total

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