Five-Gene Model to Predict Survival in Mantle-Cell Lymphoma Using Frozen or Formalin-Fixed, Paraffin-Embedded Tissue

• Published in: Journal of clinical oncology Vol. 26; no. 30; pp. 4966 - 4972
• Main Authors: HARTMANN, Elena, FERNANDEZ, Veronica, KONRAD MÜLLER-HERMELINK, Hans, OTT, German, ROSENWALD, Andreas, CAMPO, Elias, MORENO, Victor, VALLS, Joan, HERNDNDEZ, Luis, BOSCH, Francesc, ABRISQUETA, Pau, KLAPPER, Wolfram, DREYLING, Martin, HOSTER, Eva
• Format: Journal Article
• Language: English
• Published: Baltimore, MD American Society of Clinical Oncology 20.10.2008; Lippincott Williams & Wilkins
• Subjects: Aged; Biological and medical sciences; Biomarkers, Tumor - analysis; Cryopreservation; Female; Gene Expression; Hematologic and hematopoietic diseases; Humans; Ki-67 Antigen - analysis; Leukemias. Malignant lymphomas. Malignant reticulosis. Myelofibrosis; Lymphoma, Mantle-Cell - genetics; Lymphoma, Mantle-Cell - mortality; Lymphoma, Mantle-Cell - pathology; Male; Medical sciences; Middle Aged; Paraffin Embedding; Reverse Transcriptase Polymerase Chain Reaction; Tumors; B cell neoplasm; Malignant hemopathy; B-Lymphocyte; Non Hodgkin lymphoma; Paraffin; Survival; Cancerology; Gene; Lymphoproliferative syndrome; Mantle cell lymphoma; Genetics; Models; Predictive factor; Cancer
• ISSN: 0732-183X; 1527-7755
• DOI: 10.1200/JCO.2007.12.0410

Despite the common underlying translocation t(11;14) involving cyclin D1 that is present in nearly all cases of mantle-cell lymphoma (MCL), the clinical course of the disease is highly variable. The aim of the present study was to develop a quantitative gene expression-based model to predict survival in newly diagnosed patients with MCL that involves a minimum number of genes and is applicable to fresh-frozen and formalin-fixed, paraffin-embedded (FFPE) tumor samples. The expression of 33 genes with potential prognostic and pathogenetic impact in MCL was analyzed using quantitative reverse-transcription polymerase chain reactions (qRT-PCR) in a low-density array format in frozen tumor samples from 73 patients with MCL. Multivariate Cox methods and stepwise algorithms were applied to build gene expression-based survival predictors. An optimized five-gene model was subsequently applied to FFPE tumor samples from 13 patients with MCL from the initial series and to 42 independent MCL samples. The optimized survival predictor was composed of the five genes RAN, MYC, TNFRSF10B, POLE2, and SLC29A2 and was validated for application in FFPE tissue samples. It allowed the survival prediction of patients with MCL with widely disparate clinical outcome and was superior to the immunohistochemical marker Ki-67, an established prognostic factor in MCL. We here present a validated qRT-PCR-based test for survival prediction in patients with MCL that is applicable to fresh frozen as well as to FFPE tissue specimens. This test may prove useful to guide individualized treatment approaches for patients with MCL.