Recommendations from the EGAPP Working Group: can tumor gene expression profiling improve outcomes in patients with breast cancer?

Summary of Recommendations: The EGAPP Working Group (EWG) found insufficient evidence to make a recommendation for or against the use of tumor gene expression profiles to improve outcomes in defined populations of women with breast cancer. For one test, the EWG found preliminary evidence of potential benefit of testing results to some women who face decisions about treatment options (reduced adverse events due to low risk women avoiding chemotherapy), but could not rule out the potential for harm for others (breast cancer recurrence that might have been prevented). The evidence is insufficient to assess the balance of benefits and harms of the proposed uses of the tests. The EWG encourages further development and evaluation of these technologies.Rationale: The measurement of gene expression in breast tumor tissue is proposed as a way to estimate the risk of distant disease recurrence in order to provide additional information beyond current clinicopathological risk stratification and to influence decisions about treatment in order to improve health outcomes. Based on their review of the EGAPP-commissioned evidence report, Impact of Gene Expression Profiling Tests on Breast Cancer Outcomes1 and other data summaries, the EWG found no direct evidence linking tumor gene expression profiling of women with breast cancer to improved outcomes, and inadequate evidence to construct an evidence chain. However, further evaluation on the clinical utility of some tests and management algorithms, including well-designed randomized controlled trials, is warranted.Analytic Validity: Some data on technical performance of assays were identified for MammaPrint and Oncotype DX, though estimates of analytic sensitivity and specificity could not be made. Published performance data on the laboratory developed Quest H:I Test were limited. Overall, the EWG found the evidence to be inadequate.Clinical Validity: The EWG found adequate evidence regarding the association of the Oncotype DX Recurrence Score with disease recurrence and adequate evidence for response to chemotherapy. The EWG found adequate evidence to characterize the association of MammaPrint with future metastases, but inadequate evidence to assess the added value to standard risk stratification, and could not determine the population to which the test would best apply. The evidence was inadequate to characterize the clinical validity of the Quest H:I Test.Clinical Utility: The EWG found no evidence regarding the clinical utility of the MammaPrint and Quest H:I Ratio tests, and inadequate evidence regarding Oncotype DX. These technologies have potential for both benefit and harm.Contextual Issues: The EWG reviewed economic studies that used modeling to predict potential effects of using gene profiling, and judged the evidence inadequate.

[1]  S. Teutsch,et al.  The Evaluation of Genomic Applications in Practice and Prevention (EGAPP) initiative: methods of the EGAPP Working Group , 2009, Genetics in Medicine.

[2]  Renee F Wilson,et al.  Systematic Review: Gene Expression Profiling Assays in Early-Stage Breast Cancer , 2008, Annals of Internal Medicine.

[3]  B. Hillner Impact of a 21-Gene RT-PCR Assay on Treatment Decisions in Early-Stage Breast Cancer , 2008 .

[4]  BlueCross BlueShield Gene expression profiling of breast cancer to select women for adjuvant chemotherapy. , 2008, Technology Evaluation Center Assessment Program. Executive summary.

[5]  Andreas Makris,et al.  Gene expression patterns in formalin-fixed, paraffin-embedded core biopsies predict docetaxel chemosensitivity in breast cancer patients , 2008, Breast Cancer Research and Treatment.

[6]  R. Bast,et al.  American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[7]  Anya Tsalenko,et al.  Robust interlaboratory reproducibility of a gene expression signature measurement consistent with the needs of a new generation of diagnostic tools , 2007, BMC Genomics.

[8]  Nadia Harbeck,et al.  St. Gallen 2007: Breast Cancer Treatment Consensus Report , 2007, Breast Care.

[9]  M. Cronin,et al.  Analytical validation of the Oncotype DX genomic diagnostic test for recurrence prognosis and therapeutic response prediction in node-negative, estrogen receptor-positive breast cancer. , 2007, Clinical chemistry.

[10]  M. Fernö,et al.  Exploring the two-gene ratio in breast cancer—independent roles for HOXB13 and IL17BR in prediction of clinical outcome , 2007, Breast Cancer Research and Treatment.

[11]  Giovanni Parmigiani,et al.  Impact of gene expression profiling tests on breast cancer outcomes. , 2007, Evidence report/technology assessment.

[12]  M. Cronin,et al.  Predicting response to primary chemotherapy: gene expression profiling of paraffin-embedded core biopsy tissue , 2007, Breast Cancer Research and Treatment.

[13]  C. Hudis,et al.  Adjuvant endocrine therapy in hormone receptor-positive postmenopausal breast cancer: evolution of NCCN, ASCO, and St Gallen recommendations. , 2006, Journal of the National Comprehensive Cancer Network : JNCCN.

[14]  A. Witteveen,et al.  Converting a breast cancer microarray signature into a high-throughput diagnostic test , 2006, BMC Genomics.

[15]  S. Hilsenbeck,et al.  The HOXB13:IL17BR expression index is a prognostic factor in early-stage breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[16]  L. V. van't Veer,et al.  Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. , 2006, Journal of the National Cancer Institute.

[17]  M. Cronin,et al.  Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[18]  S. Shak,et al.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients , 2006, Breast Cancer Research.

[19]  F. Couch,et al.  A Two-Gene Expression Ratio of Homeobox 13 and Interleukin-17B Receptor for Prediction of Recurrence and Survival in Women Receiving Adjuvant Tamoxifen , 2006, Clinical Cancer Research.

[20]  E. Winer,et al.  NCCN Task Force Report: Adjuvant Therapy for Breast Cancer. , 2006, Journal of the National Comprehensive Cancer Network : JNCCN.

[21]  M. Cronin,et al.  Tumor Gene Expression and Prognosis in Breast Cancer Patients with 10 or More Positive Lymph Nodes , 2005, Clinical Cancer Research.

[22]  L. Ford,et al.  Tamoxifen for the prevention of breast cancer: current status of the National Surgical Adjuvant Breast and Bowel Project P-1 study. , 2005, Journal of the National Cancer Institute.

[23]  H. Linden,et al.  Gene expression profiling and breast cancer care: What are the potential benefits and policy implications? , 2005, Genetics in Medicine.

[24]  Y Wang,et al.  Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials , 2005, The Lancet.

[25]  Gary H Lyman,et al.  Economic analysis of targeting chemotherapy using a 21-gene RT-PCR assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer. , 2005, The American journal of managed care.

[26]  Kevin Coombes,et al.  Prognostic Role of a Multigene Reverse Transcriptase-PCR Assay in Patients with Node-Negative Breast Cancer Not Receiving Adjuvant Systemic Therapy , 2005, Clinical Cancer Research.

[27]  Roman Rouzier,et al.  Gene expression profiles in paraffin-embedded core biopsy tissue predict response to chemotherapy in women with locally advanced breast cancer. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[28]  M. Cronin,et al.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. , 2004, The New England journal of medicine.

[29]  J. Bryant,et al.  Treatment of lymph-node-negative, oestrogen-receptor-positive breast cancer: long-term findings from National Surgical Adjuvant Breast and Bowel Project randomised clinical trials , 2004, The Lancet.

[30]  R. J. Cersosimo Tamoxifen for Prevention of Breast Cancer , 2003, The Annals of pharmacotherapy.

[31]  Yudong D. He,et al.  A Gene-Expression Signature as a Predictor of Survival in Breast Cancer , 2002 .

[32]  Yudong D. He,et al.  Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.