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PMID: 15548776 Published · ppublish English Journal Article Multicenter Study Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

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

The New England journal of medicine ·Vol. 351 ·No. 21 ·2004-11-18 ·Pages 2159-69

Dave SS, Wright G, Tan B, Rosenwald A, Gascoyne RD, Chan WC, Fisher RI, Braziel RM, Rimsza LM, Grogan TM, Miller TP, LeBlanc M, Greiner TC, Weisenburger DD, Lynch JC, Vose J, Armitage JO, Smeland EB, Kvaloy S, Holte H, Delabie J, Connors JM, Lansdorp PM, Ouyang Q, Lister TA, Davies AJ, Norton AJ, Muller-Hermelink HK, Ott G, Campo E, Montserrat E, Wilson WH, Jaffe ES, Simon R, Yang L, Powell J, Zhao H, Goldschmidt N, Chiorazzi M, Staudt LM

Abstract

Patients with follicular lymphoma may survive for periods of less than 1 year to more than 20 years after diagnosis. We used gene-expression profiles of tumor-biopsy specimens obtained at diagnosis to develop a molecular predictor of the length of survival. Gene-expression profiling was performed on 191 biopsy specimens obtained from patients with untreated follicular lymphoma. Supervised methods were used to discover expression patterns associated with the length of survival in a training set of 95 specimens. A molecular predictor of survival was constructed from these genes and validated in an independent test set of 96 specimens. Individual genes that predicted the length of survival were grouped into gene-expression signatures on the basis of their expression in the training set, and two such signatures were used to construct a survival predictor. The two signatures allowed patients with specimens in the test set to be divided into four quartiles with widely disparate median lengths of survival (13.6, 11.1, 10.8, and 3.9 years), independently of clinical prognostic variables. Flow cytometry showed that these signatures reflected gene expression by nonmalignant tumor-infiltrating immune cells. The length of survival among patients with follicular lymphoma correlates with the molecular features of nonmalignant immune cells present in the tumor at diagnosis.

MeSH Terms
Adult Aged Aged, 80 and over Biopsy Dendritic Cells/metabolism Female Follow-Up Studies Gene Expression Gene Expression Profiling Humans Lymphocytes, Tumor-Infiltrating/metabolism Lymphoma, Follicular/diagnosis,genetics,immunology,mortality Macrophages/immunology,metabolism Male Middle Aged Multivariate Analysis Oligonucleotide Array Sequence Analysis Prognosis Proportional Hazards Models Survival Analysis
Authors & Affiliations
40 authors, click to expand affiliations / ORCID
Dave Sandeep S
National Cancer Institute, NIH, Bethesda, Md 20892, USA.
Wright George
Tan Bruce
Rosenwald Andreas
Gascoyne Randy D
Chan Wing C
Fisher Richard I
Braziel Rita M
Rimsza Lisa M
Grogan Thomas M
Miller Thomas P
LeBlanc Michael
Greiner Timothy C
Weisenburger Dennis D
Lynch James C
Vose Julie
Armitage James O
Smeland Erlend B
Kvaloy Stein
Holte Harald
Delabie Jan
Connors Joseph M
Lansdorp Peter M
Ouyang Qin
Lister T Andrew
Davies Andrew J
Norton Andrew J
Muller-Hermelink H Konrad
Ott German
Campo Elias
Montserrat Emilio
Wilson Wyndham H
Jaffe Elaine S
Simon Richard
Yang Liming
Powell John
Zhao Hong
Goldschmidt Neta
Chiorazzi Michael
Staudt Louis M
Article Info
Journal
The New England journal of medicine
Abbr.
N Engl J Med
ISSN
1533-4406
Published
2004-11-18
Pages
2159-69
Language
English
Region
United States
NLM ID
0255562
Subset
IM
Grants
NCI NIH HHS · UO1-CA84967 · United States
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