Literature DB >> 18953822

Gene expression profiling of breast cancer.

Ting Bao1, Nancy E Davidson.   

Abstract

Gene expression profiling is enabling scientists to understand the heterogeneous nature of breast cancer on a genomic level. Several gene expression profiles for breast cancers have emerged in the initial studies and appear to be generally concordant in their ability to predict poor outcome. Of these profiles, the Oncotype Dx and Mammaprint assays are the best validated and are commercially available. Their role in clinical practice is being refined through ongoing clinical trials. Other efforts are directed at determining host factors that might help identify prognosis as well as response and toxicity of therapy. It is expected that availability of these types of analyses will only increase in the future. It will be imperative that such assays be well validated and have implications for how to modify care for the individual patient.

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Year:  2008        PMID: 18953822      PMCID: PMC2775529          DOI: 10.1016/j.yasu.2008.03.002

Source DB:  PubMed          Journal:  Adv Surg        ISSN: 0065-3411


  26 in total

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Authors:  John Quackenbush
Journal:  N Engl J Med       Date:  2006-06-08       Impact factor: 91.245

2.  Role of CYP2D6 testing in selection of endocrine therapy for breast cancer.

Authors:  Justin Stebbing; Vered Stearns; Nancy E Davidson
Journal:  Pharmacogenomics       Date:  2007-01       Impact factor: 2.533

3.  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

Review 4.  Molecular profiling in breast cancer.

Authors:  Shannon R Morris; Lisa A Carey
Journal:  Rev Endocr Metab Disord       Date:  2007-09       Impact factor: 6.514

5.  Concordance among gene-expression-based predictors for breast cancer.

Authors:  Cheng Fan; Daniel S Oh; Lodewyk Wessels; Britta Weigelt; Dimitry S A Nuyten; Andrew B Nobel; Laura J van't Veer; Charles M Perou
Journal:  N Engl J Med       Date:  2006-08-10       Impact factor: 91.245

6.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

Authors:  T Sørlie; C M Perou; R Tibshirani; T Aas; S Geisler; H Johnsen; T Hastie; M B Eisen; M van de Rijn; S S Jeffrey; T Thorsen; H Quist; J C Matese; P O Brown; D Botstein; P E Lønning; A L Børresen-Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

7.  Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer.

Authors:  John A Foekens; David Atkins; Yi Zhang; Fred C G J Sweep; Nadia Harbeck; Angelo Paradiso; Tanja Cufer; Anieta M Sieuwerts; Dmitri Talantov; Paul N Span; Vivianne C G Tjan-Heijnen; Alfredo F Zito; Katja Specht; Heinz Hoefler; Rastko Golouh; Francesco Schittulli; Manfred Schmitt; Louk V A M Beex; Jan G M Klijn; Yixin Wang
Journal:  J Clin Oncol       Date:  2006-02-27       Impact factor: 44.544

8.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

9.  Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer.

Authors:  Marc Buyse; Sherene Loi; Laura van't Veer; Giuseppe Viale; Mauro Delorenzi; Annuska M Glas; Mahasti Saghatchian d'Assignies; Jonas Bergh; Rosette Lidereau; Paul Ellis; Adrian Harris; Jan Bogaerts; Patrick Therasse; Arno Floore; Mohamed Amakrane; Fanny Piette; Emiel Rutgers; Christos Sotiriou; Fatima Cardoso; Martine J Piccart
Journal:  J Natl Cancer Inst       Date:  2006-09-06       Impact factor: 13.506

10.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.

Authors:  Laurel A Habel; Steven Shak; Marlena K Jacobs; Angela Capra; Claire Alexander; Mylan Pho; Joffre Baker; Michael Walker; Drew Watson; James Hackett; Noelle T Blick; Deborah Greenberg; Louis Fehrenbacher; Bryan Langholz; Charles P Quesenberry
Journal:  Breast Cancer Res       Date:  2006-05-31       Impact factor: 6.466

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  10 in total

1.  The effect of Oncotype DX recurrence score on treatment recommendations for patients with estrogen receptor-positive early stage breast cancer and correlation with estimation of recurrence risk by breast cancer specialists.

Authors:  Jennifer E Joh; Nicole N Esposito; John V Kiluk; Christine Laronga; M Catherine Lee; Loretta Loftus; Hatem Soliman; Judy C Boughey; Carol Reynolds; Thomas J Lawton; Peter I Acs; Lucio Gordan; Geza Acs
Journal:  Oncologist       Date:  2011-10-20

2.  Estimating the OncotypeDX score: validation of an inexpensive estimation tool.

Authors:  Anne A Eaton; Catherine E Pesce; James O Murphy; Michelle M Stempel; Sujata M Patil; Edi Brogi; Clifford A Hudis; Mahmoud El-Tamer
Journal:  Breast Cancer Res Treat       Date:  2016-12-07       Impact factor: 4.872

3.  Improved outcomes and staging in non-small-cell lung cancer guided by a molecular assay.

Authors:  Alexander R Gupta; Gavitt A Woodard; David M Jablons; Michael J Mann; Johannes R Kratz
Journal:  Future Oncol       Date:  2021-08-26       Impact factor: 3.674

4.  Gene expression in histologically normal epithelium from breast cancer patients and from cancer-free prophylactic mastectomy patients shares a similar profile.

Authors:  K Graham; A de las Morenas; A Tripathi; C King; M Kavanah; J Mendez; M Stone; J Slama; M Miller; G Antoine; H Willers; P Sebastiani; C L Rosenberg
Journal:  Br J Cancer       Date:  2010-03-02       Impact factor: 7.640

5.  Fertility Preservation for the Young Breast Cancer Patient.

Authors:  Shari B Goldfarb; Sabrina A Kamer; Bridget A Oppong; Anne Eaton; Sujata Patil; Manuela J Junqueira; Cristina Olcese; Joanne F Kelvin; Mary L Gemignani
Journal:  Ann Surg Oncol       Date:  2016-01-20       Impact factor: 5.344

6.  Prognostic utility of the breast cancer index and comparison to Adjuvant! Online in a clinical case series of early breast cancer.

Authors:  Rachel C Jankowitz; Kristine Cooper; Mark G Erlander; Xiao-Jun Ma; Nicole C Kesty; Hongying Li; Mamatha Chivukula; Adam Brufsky
Journal:  Breast Cancer Res       Date:  2011-10-14       Impact factor: 6.466

Review 7.  Understanding breast cancer - The long and winding road.

Authors:  Kiven Erique Lukong
Journal:  BBA Clin       Date:  2017-01-27

8.  Independent Prognostic Value of Intratumoral Heterogeneity and Immune Response Features by Automated Digital Immunohistochemistry Analysis in Early Hormone Receptor-Positive Breast Carcinoma.

Authors:  Dovile Zilenaite; Allan Rasmusson; Renaldas Augulis; Justinas Besusparis; Aida Laurinaviciene; Benoit Plancoulaine; Valerijus Ostapenko; Arvydas Laurinavicius
Journal:  Front Oncol       Date:  2020-06-16       Impact factor: 6.244

9.  GWAS meets microarray: are the results of genome-wide association studies and gene-expression profiling consistent? Prostate cancer as an example.

Authors:  Ivan P Gorlov; Gary E Gallick; Olga Y Gorlova; Christopher Amos; Christopher J Logothetis
Journal:  PLoS One       Date:  2009-08-04       Impact factor: 3.240

10.  Long noncoding RNA ROR promotes breast cancer by regulating the TGF-β pathway.

Authors:  LingLi Hou; Jiancheng Tu; Fangxiong Cheng; Hongwei Yang; Fei Yu; Minghua Wang; Jiubo Liu; Jinbo Fan; Guojun Zhou
Journal:  Cancer Cell Int       Date:  2018-09-18       Impact factor: 5.722

  10 in total

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