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A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia.

Publication ,  Journal Article
Friedman, DR; Weinberg, JB; Barry, WT; Goodman, BK; Volkheimer, AD; Bond, KM; Chen, Y; Jiang, N; Moore, JO; Gockerman, JP; Diehl, LF; Potti, A ...
Published in: Clin Cancer Res
November 15, 2009

PURPOSE: Chronic lymphocytic leukemia (CLL) is a B-cell malignancy characterized by a variable clinical course. Several parameters have prognostic capabilities but are associated with altered response to therapy in only a small subset of patients. EXPERIMENTAL DESIGN: We used gene expression profiling methods to generate predictors of therapy response and prognosis. Genomic signatures that reflect progressive disease and responses to chemotherapy or chemoimmunotherapy were created using cancer cell lines and patient leukemia cell samples. We validated and applied these three signatures to independent clinical data from four cohorts, representing a total of 301 CLL patients. RESULTS: A genomic signature of prognosis created from patient leukemic cell gene expression data coupled with clinical parameters significantly differentiated patients with stable disease from those with progressive disease in the training data set. The progression signature was validated in two independent data sets, showing a capacity to accurately identify patients at risk for progressive disease. In addition, genomic signatures that predict response to chlorambucil or pentostatin, cyclophosphamide, and rituximab were generated and could accurately distinguish responding and nonresponding CLL patients. CONCLUSIONS: Thus, microarray analysis of CLL lymphocytes can be used to refine prognosis and predict response to different therapies. These results have implications for standard and investigational therapeutics in CLL patients.

Duke Scholars

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Published In

Clin Cancer Res

DOI

EISSN

1557-3265

Publication Date

November 15, 2009

Volume

15

Issue

22

Start / End Page

6947 / 6955

Location

United States

Related Subject Headings

  • Rituximab
  • Risk
  • Prognosis
  • Pharmacogenetics
  • Pentostatin
  • Oncology & Carcinogenesis
  • Middle Aged
  • Male
  • Leukemia, Lymphocytic, Chronic, B-Cell
  • Immunotherapy
 

Citation

APA
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Friedman, D. R., Weinberg, J. B., Barry, W. T., Goodman, B. K., Volkheimer, A. D., Bond, K. M., … Nevins, J. R. (2009). A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia. Clin Cancer Res, 15(22), 6947–6955. https://doi.org/10.1158/1078-0432.CCR-09-1132
Friedman, Daphne R., J Brice Weinberg, William T. Barry, Barbara K. Goodman, Alicia D. Volkheimer, Karen M. Bond, Youwei Chen, et al. “A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia.Clin Cancer Res 15, no. 22 (November 15, 2009): 6947–55. https://doi.org/10.1158/1078-0432.CCR-09-1132.
Friedman DR, Weinberg JB, Barry WT, Goodman BK, Volkheimer AD, Bond KM, et al. A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia. Clin Cancer Res. 2009 Nov 15;15(22):6947–55.
Friedman, Daphne R., et al. “A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia.Clin Cancer Res, vol. 15, no. 22, Nov. 2009, pp. 6947–55. Pubmed, doi:10.1158/1078-0432.CCR-09-1132.
Friedman DR, Weinberg JB, Barry WT, Goodman BK, Volkheimer AD, Bond KM, Chen Y, Jiang N, Moore JO, Gockerman JP, Diehl LF, Decastro CM, Potti A, Nevins JR. A genomic approach to improve prognosis and predict therapeutic response in chronic lymphocytic leukemia. Clin Cancer Res. 2009 Nov 15;15(22):6947–6955.

Published In

Clin Cancer Res

DOI

EISSN

1557-3265

Publication Date

November 15, 2009

Volume

15

Issue

22

Start / End Page

6947 / 6955

Location

United States

Related Subject Headings

  • Rituximab
  • Risk
  • Prognosis
  • Pharmacogenetics
  • Pentostatin
  • Oncology & Carcinogenesis
  • Middle Aged
  • Male
  • Leukemia, Lymphocytic, Chronic, B-Cell
  • Immunotherapy