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

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

METHODS
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.

RESULTS
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.

CONCLUSIONS
The length of survival among patients with follicular lymphoma correlates with the molecular features of nonmalignant immune cells present in the tumor at diagnosis.
2159-2169
Dave, Sandeep S.
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Fisher, Richard I.
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Braziel, Rita M.
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Grogan, Thomas M.
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Armitage, James O.
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Smeland, Erlend B.
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Holte, Harald
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Connors, Joseph M.
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Lansdorp, Peter M.
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Davies, Andrew J.
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Rosenwald, Andreas
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Chan, Wing C.
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Fisher, Richard I.
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Braziel, Rita M.
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Rimsza, Lisa M.
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Miller, Thomas P.
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Vose, Julie
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Armitage, James O.
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Smeland, Erlend B.
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Delabie, Jan
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Connors, Joseph M.
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Lansdorp, Peter M.
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Ouyang, Qin
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Davies, Andrew J.
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Norton, Andrew J.
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Muller-Hermelink, H. Konrad
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Wilson, Wyndham H.
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Simon, Richard
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Yang, Liming
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Powell, John
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Goldschmidt, Neta
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Chiorazzi, Michael
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Staudt, Louis M.
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Dave, Sandeep S., 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 and Staudt, Louis M. (2004) Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. New England Journal of Medicine, 351 (21), 2159-2169. (doi:10.1056/NEJMoa041869).

Record type: Article

Abstract

BACKGROUND
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.

METHODS
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.

RESULTS
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.

CONCLUSIONS
The length of survival among patients with follicular lymphoma correlates with the molecular features of nonmalignant immune cells present in the tumor at diagnosis.

Full text not available from this repository.

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Published date: 18 November 2004

Identifiers

Local EPrints ID: 73339
URI: http://eprints.soton.ac.uk/id/eprint/73339
PURE UUID: 34c8f1b7-eeec-4c62-a806-7ddd0a770352
ORCID for Andrew J. Davies: ORCID iD orcid.org/0000-0002-7517-6938

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 03 Feb 2020 01:30

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Contributors

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

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