Literature DB >> 22767204

Clinical validity/utility, change in practice patterns, and economic implications of risk stratifiers to predict outcomes for early-stage breast cancer: a systematic review.

John Hornberger1, Michael D Alvarado, Chien Rebecca, Hialy R Gutierrez, Tiffany M Yu, William J Gradishar.   

Abstract

BACKGROUND: At least 14 stratifiers exist to assess recurrence risk, chemotherapy response, and overall survival (OS) in women with early-stage breast cancer (ESBC). These stratifiers have not been compared using a recently developed rigorous framework. We performed a systematic review of the literature on clinical validity/utility, change in clinical practice, and economic implications of ESBC stratifiers.
METHODS: A systematic literature search was performed using PubMed, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Database of Systematic Reviews, and bibliographies of relevant studies. Data were extracted by two investigators and graded using a previously published framework. The Level-of-Evidence determination for each study was summarized, and the studies that provide evidence on change in clinical practice and economic implications are reported.
RESULTS: Fifty-six articles published original evidence addressing the 21-gene recurrence score (n = 31), 70-gene signature (n = 14), Adjuvant! Online (n = 12), 5-antibody immunohistochemistry panel (n = 3), 5-gene expression index (n = 1), and 14-gene signature (n = 1). The 21-gene recurrence score satisfied Level I evidence (the highest level of evidence among five levels) for estimating distant recurrence risk (DRR), OS, and response to adjuvant chemotherapy, and Level II for estimating local recurrence risk. The 5-antibody immunohistochemistry panel and 70-gene signature satisfied Level II evidence for estimating DRR and OS. Adjuvant! Online satisfied Level II evidence for estimating DRR, OS, and chemotherapy response. The 5-gene expression index satisfied Level III evidence for predicting DRR. The 14-gene signature satisfied Level III evidence for predicting DRR and OS. Ten studies reported changes in clinical practice patterns; seven studies reported economic implications.
CONCLUSION: The available evidence on the ability of stratifiers to predict risks of recurrence and response to chemotherapy in ESBC is growing. Level-of-Evidence determinations using the newer framework provide a solid scientific foundation for clinical recommendations.

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Year:  2012        PMID: 22767204     DOI: 10.1093/jnci/djs261

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  30 in total

1.  Cost-Effectiveness Analyses of the 21-Gene Assay in Breast Cancer: Systematic Review and Critical Appraisal.

Authors:  Shi-Yi Wang; Weixiong Dang; Ilana Richman; Sarah S Mougalian; Suzanne B Evans; Cary P Gross
Journal:  J Clin Oncol       Date:  2018-04-16       Impact factor: 44.544

2.  Interactions between the tumor and the blood systemic response of breast cancer patients.

Authors:  Vanessa Dumeaux; Bjørn Fjukstad; Hans E Fjosne; Jan-Ole Frantzen; Marit Muri Holmen; Enno Rodegerdts; Ellen Schlichting; Anne-Lise Børresen-Dale; Lars Ailo Bongo; Eiliv Lund; Michael Hallett
Journal:  PLoS Comput Biol       Date:  2017-09-28       Impact factor: 4.475

3.  Adoption of Gene Expression Profiling for Breast Cancer in US Oncology Practice for Women Younger Than 65 Years.

Authors:  Suzanne C O'Neill; Claudine Isaacs; Calvin Chao; Huei-Ting Tsai; Chunfu Liu; Bola F Ekezue; Nandini Selvam; Larry G Kessler; Marc D Schwartz; Tania Lobo; Arnold L Potosky
Journal:  J Natl Compr Canc Netw       Date:  2015-10       Impact factor: 11.908

Review 4.  The application of Oncotype DX in early-stage lymph-node-positive disease.

Authors:  Sarika Jain; William J Gradishar
Journal:  Curr Oncol Rep       Date:  2014       Impact factor: 5.075

5.  21-Gene recurrence score influences the chemotherapy decision for patients with breast cancer of different luminal subtypes.

Authors:  Wei Wang; Lin Lin; Xiaochun Fei; Jin Hong; Weiqi Gao; Siji Zhu; Jiayi Wu; Ou Huang; Jianrong He; Yafen Li; Li Zhu; Weiguo Chen; Xiaosong Chen; Kunwei Shen
Journal:  Oncol Lett       Date:  2019-08-16       Impact factor: 2.967

6.  A guide for clinicians in the evaluation of emerging molecular diagnostics for newly diagnosed prostate cancer.

Authors:  Steven E Canfield; Adam S Kibel; Michael J Kemeter; Phillip G Febbo; H Jeffrey Lawrence; Judd W Moul
Journal:  Rev Urol       Date:  2014

7.  Who gets genomic testing for breast cancer recurrence risk?

Authors:  J T DeFrank; T Salz; K Reeder-Hayes; N T Brewer
Journal:  Public Health Genomics       Date:  2013-07-30       Impact factor: 2.000

Review 8.  Radiogenomics: A systems biology approach to understanding genetic risk factors for radiotherapy toxicity?

Authors:  Carsten Herskind; Christopher J Talbot; Sarah L Kerns; Marlon R Veldwijk; Barry S Rosenstein; Catharine M L West
Journal:  Cancer Lett       Date:  2016-03-02       Impact factor: 8.679

9.  Breast cancer multigene testing trends and impact on chemotherapy use.

Authors:  G Thomas Ray; Jeanne Mandelblatt; Laurel A Habel; Scott Ramsey; Lawrence H Kushi; Yan Li; Tracy A Lieu
Journal:  Am J Manag Care       Date:  2016-05-01       Impact factor: 2.229

10.  Implementation of the 21-gene recurrence score test in the United States in 2011.

Authors:  Julie A Lynch; Brygida Berse; Valentina Petkov; Kelly Filipski; Yingjun Zhou; Muin J Khoury; Michael Hassett; Andrew N Freedman
Journal:  Genet Med       Date:  2016-02-11       Impact factor: 8.822

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