Literature DB >> 11104567

C-myc amplification in breast cancer: a meta-analysis of its occurrence and prognostic relevance.

S L Deming1, S J Nass, R B Dickson, B J Trock.   

Abstract

Data from basic research suggests that amplification of the proto-oncogene c-myc is important in breast cancer pathogenesis, but its frequency of amplification and prognostic relevance in human studies have been inconsistent. In an effort to clarify the clinical significance of c-myc amplification in breast cancer, we conducted a comprehensive literature search and a meta-analysis in which 29 studies were evaluated. The weighted average frequency of c-myc amplification in breast tumours was 15.7% (95% CI = 12.5-18.8%), although estimates in individual studies exhibited significant heterogeneity, P<0.0001. C-myc amplification exhibited significant but weak associations with tumour grade (RR = 1.61), lymph-node metastasis (RR = 1.24), negative progesterone receptor status (RR = 1.27), and postmenopausal status (RR = 0.82). Amplification was significantly associated with risk of relapse and death, with pooled estimates RR = 2.05 (95% CI = 1.51-2.78) and RR = 1.74 (95% CI = 1.27-2.39), respectively. This effect did not appear to be merely a surrogate for other prognostic factors. These results suggest that c-myc amplification is relatively common in breast cancer and may provide independent prognostic information. More rigorous studies with consistent methodology are required to validate this association, and to investigate its potential as a molecular predictor of specific therapy response. Copyright 2000 Cancer Research Campaign.

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Year:  2000        PMID: 11104567      PMCID: PMC2363455          DOI: 10.1054/bjoc.2000.1522

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  49 in total

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3.  Amplification of c-erbB-2, int-2 and c-myc genes in node-negative breast carcinomas. Relationship to prognosis.

Authors:  L Ottestad; T I Andersen; J M Nesland; M Skrede; K M Tveit; K Nustad; A L Børresen
Journal:  Acta Oncol       Date:  1993       Impact factor: 4.089

4.  Amplification of c-myc but not of c-erbB-2 is associated with high proliferative capacity in breast cancer.

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Journal:  Cancer Res       Date:  1993-04-15       Impact factor: 12.701

5.  Oncogene amplification per se: an independent prognostic factor in human breast cancer.

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Journal:  Mol Carcinog       Date:  1994-12       Impact factor: 4.784

6.  Genetic studies of 457 breast cancers. Clinicopathologic parameters compared with genetic alterations.

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Journal:  Cancer       Date:  1994-10-15       Impact factor: 6.860

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Authors:  I Bièche; M H Champème; R Lidereau
Journal:  Cancer Res       Date:  1994-08-15       Impact factor: 12.701

8.  Cathepsin-D and c-erb-B 2 have an additive prognostic value for breast cancer patients.

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Journal:  Anticancer Res       Date:  1993 Sep-Oct       Impact factor: 2.480

9.  Prognostic value of erb-B2 and myc amplification in breast cancer imprints.

Authors:  U Lönn; S Lönn; B Nilsson; B Stenkvist
Journal:  Cancer       Date:  1995-06-01       Impact factor: 6.860

10.  Analysis of genetic alterations related to the development and progression of breast carcinoma.

Authors:  K Nagayama; M Watatani
Journal:  Jpn J Cancer Res       Date:  1993-11
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  98 in total

1.  Bmi-1, c-myc, and Snail expression in primary breast cancers and their metastases--elevated Bmi-1 expression in late breast cancer relapses.

Authors:  Kristiina Joensuu; Jaana Hagström; Marjut Leidenius; Caj Haglund; Leif C Andersson; Hannu Sariola; Päivi Heikkilä
Journal:  Virchows Arch       Date:  2011-06-03       Impact factor: 4.064

2.  Assessment of palindromes as platforms for DNA amplification in breast cancer.

Authors:  Jamie Guenthoer; Scott J Diede; Hisashi Tanaka; Xiaoyu Chai; Li Hsu; Stephen J Tapscott; Peggy L Porter
Journal:  Genome Res       Date:  2011-07-13       Impact factor: 9.043

3.  Deregulation of scribble promotes mammary tumorigenesis and reveals a role for cell polarity in carcinoma.

Authors:  Lixing Zhan; Avi Rosenberg; Kenneth C Bergami; Min Yu; Zhenyu Xuan; Aron B Jaffe; Craig Allred; Senthil K Muthuswamy
Journal:  Cell       Date:  2008-11-28       Impact factor: 41.582

Review 4.  Biological determinants of endocrine resistance in breast cancer.

Authors:  Elizabeth A Musgrove; Robert L Sutherland
Journal:  Nat Rev Cancer       Date:  2009-09       Impact factor: 60.716

Review 5.  Of mice and Myc: c-Myc and mammary tumorigenesis.

Authors:  M Hunter Jamerson; Michael D Johnson; Robert B Dickson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2004-01       Impact factor: 2.673

Review 6.  Mouse models of cancers: opportunities to address heterogeneity of human cancer and evaluate therapeutic strategies.

Authors:  Eran R Andrechek; Joseph R Nevins
Journal:  J Mol Med (Berl)       Date:  2010-06-24       Impact factor: 4.599

7.  Prognostic and predictive value of copy number alterations in invasive breast cancer as determined by multiplex ligation-dependent probe amplification.

Authors:  Sanaz Tabarestani; Sayyed Mohammad Hossein Ghaderian; Hamid Rezvani; Reza Mirfakhraie; Abdolali Ebrahimi; Hamid Attarian; Jahangir Rafat; Mojtaba Ghadyani; Hossein Afshin Alavi; Naser Kamalian; Afshin Rakhsha; Eznollah Azargashb
Journal:  Cell Oncol (Dordr)       Date:  2014-02-27       Impact factor: 6.730

8.  The Snf1-related kinase, Hunk, is essential for mammary tumor metastasis.

Authors:  Gerald B W Wertheim; Thomas W Yang; Tien-chi Pan; Anna Ramne; Zhandong Liu; Heather P Gardner; Katherine D Dugan; Petra Kristel; Bas Kreike; Marc J van de Vijver; Robert D Cardiff; Carol Reynolds; Lewis A Chodosh
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-28       Impact factor: 11.205

Review 9.  Key signalling nodes in mammary gland development and cancer: Myc.

Authors:  Nancy E Hynes; Tina Stoelzle
Journal:  Breast Cancer Res       Date:  2009       Impact factor: 6.466

10.  Wnt signaling activation and mammary gland hyperplasia in MMTV-LRP6 transgenic mice: implication for breast cancer tumorigenesis.

Authors:  J Zhang; Y Li; Q Liu; W Lu; G Bu
Journal:  Oncogene       Date:  2009-11-02       Impact factor: 9.867

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