Literature DB >> 25187476

Genome-based risk prediction for early stage breast cancer.

Christina Adaniel1, Komal Jhaveri1, Adriana Heguy1, Francisco J Esteva2.   

Abstract

Tests to better characterize tumor genomic architecture are quickly becoming a standard of care in oncology. For breast cancer, the use of gene expression assays for early stage disease is already common practice. These tests have found a place in risk stratifying the heterogeneous group of stage I-II breast cancers for recurrence, for predicting chemotherapy response, and for predicting breast cancer-related mortality. In the last 5 years, more assays have become available to the practicing oncologist. Given the rapidity with which this field has evolved, it is prudent to review the tests, their indications, and the studies from which they have been validated. We present a comprehensive review of the available gene expression assays for early stage breast cancer. We review data for several individual tests and comparative studies looking at risk prediction and cost-effectiveness. ©AlphaMed Press.

Entities:  

Keywords:  Breast cancer; Gene expression; Genomic profiling

Mesh:

Substances:

Year:  2014        PMID: 25187476      PMCID: PMC4200995          DOI: 10.1634/theoncologist.2014-0124

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  51 in total

1.  Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.

Authors:  Soonmyung Paik; Gong Tang; Steven Shak; Chungyeul Kim; Joffre Baker; Wanseop Kim; Maureen Cronin; Frederick L Baehner; Drew Watson; John Bryant; Joseph P Costantino; Charles E Geyer; D Lawrence Wickerham; Norman Wolmark
Journal:  J Clin Oncol       Date:  2006-05-23       Impact factor: 44.544

2.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

Review 3.  Trastuzumab in combination with chemotherapy for the treatment of metastatic breast cancer.

Authors:  M Fornier; F J Esteva; A D Seidman
Journal:  Semin Oncol       Date:  2000-12       Impact factor: 4.929

4.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

5.  Prognostic role of a multigene reverse transcriptase-PCR assay in patients with node-negative breast cancer not receiving adjuvant systemic therapy.

Authors:  Francisco J Esteva; Aysegul A Sahin; Massimo Cristofanilli; Kevin Coombes; Sang-Joon Lee; Joffre Baker; Maureen Cronin; Michael Walker; Drew Watson; Steven Shak; Gabriel N Hortobagyi
Journal:  Clin Cancer Res       Date:  2005-05-01       Impact factor: 12.531

6.  Expression of erbB/HER receptors, heregulin and P38 in primary breast cancer using quantitative immunohistochemistry.

Authors:  F J Esteva; G N Hortobagyi; A A Sahin; T L Smith; D M Chin; S Y Liang; L Pusztai; A U Buzdar; S S Bacus
Journal:  Pathol Oncol Res       Date:  2001       Impact factor: 3.201

Review 7.  Molecular prognostic factors for breast cancer metastasis and survival.

Authors:  Francisco J Esteva; Aysegul A Sahin; Massimo Cristofanilli; Banu Arun; Gabriel N Hortobagyi
Journal:  Semin Radiat Oncol       Date:  2002-10       Impact factor: 5.934

8.  Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer.

Authors:  J M Harvey; G M Clark; C K Osborne; D C Allred
Journal:  J Clin Oncol       Date:  1999-05       Impact factor: 44.544

9.  A gene-expression signature as a predictor of survival in breast cancer.

Authors:  Marc J van de Vijver; Yudong D He; Laura J van't Veer; Hongyue Dai; Augustinus A M Hart; Dorien W Voskuil; George J Schreiber; Johannes L Peterse; Chris Roberts; Matthew J Marton; Mark Parrish; Douwe Atsma; Anke Witteveen; Annuska Glas; Leonie Delahaye; Tony van der Velde; Harry Bartelink; Sjoerd Rodenhuis; Emiel T Rutgers; Stephen H Friend; René Bernards
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

Review 10.  Monoclonal antibodies, small molecules, and vaccines in the treatment of breast cancer.

Authors:  Francisco J Esteva
Journal:  Oncologist       Date:  2004
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  2 in total

1.  Outcomes in patients with early-stage breast cancer who underwent a 21-gene expression assay.

Authors:  Carlos H Barcenas; Akshara Raghavendra; Arup K Sinha; Masood Pasha Syed; Limin Hsu; Modesto G Patangan; Mariana Chavez-MacGregor; Yu Shen; Gabriel H Hortobagyi; Vicente Valero; Sharon H Giordano; Naoto T Ueno; Debu Tripathy
Journal:  Cancer       Date:  2017-02-15       Impact factor: 6.860

2.  Prognostic role of elevated mir-24-3p in breast cancer and its association with the metastatic process.

Authors:  Alireza Khodadadi-Jamayran; Betul Akgol-Oksuz; Yelena Afanasyeva; Adriana Heguy; Marae Thompson; Karina Ray; Ariadna Giro-Perafita; Irma Sánchez; Xifeng Wu; Debu Tripathy; Anne Zeleniuch-Jacquotte; Aristotelis Tsirigos; Francisco J Esteva
Journal:  Oncotarget       Date:  2018-02-05
  2 in total

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