Literature DB >> 23271328

14-3-3ζ as a predictor of early time to recurrence and distant metastasis in hormone receptor-positive and -negative breast cancers.

Anna Bergamaschi1, Jonna Frasor, Kristina Borgen, Adina Stanculescu, Patricia Johnson, Kendrith Rowland, Elizabeth L Wiley, Benita S Katzenellenbogen.   

Abstract

The 14-3-3ζ gene, on 8q22, is often amplified in breast cancer and encodes a survival factor that interacts with and stabilizes many key signaling proteins. We examined the relationship between the expression of 14-3-3ζ, estrogen receptor α (ERα), and other parameters ( tumor size, grade, nodal status, progesterone receptor, HER2, EGFR, and p53) in matched primary and recurrence tumor tissue and how these factors impact time to recurrence, properties of the recurred tumors, and site of metastasis. In this cohort of over 100 patients, median time to recurrence was 3 years (range 1-17 years). Our analyses of primary tumor microarray cores revealed that 14-3-3ζ status was significantly correlated with tumor grade, size, and ERα. Women with 14-3-3ζ-positive and ERα-negative tumors had the earliest time to recurrence (median 1 yr, p < 0.001, hazard ratio 2.89), while median time to recurrence was 7 years for 14-3-3ζ-negative and ER-positive tumors. Of recurred tumors, 70-75 % were positive for 14-3-3ζ, up from the 45 % positivity of primary tumors. High expression of 14-3-3ζ also correlated with site of recurrence and showed a propensity for distant metastases to lung and chest wall. Multifactor correlation regression analysis revealed 14-3-3ζ to be a non-redundant, independent variable that adds clinical strength in predicting risk for early recurrence in ER-positive and -negative breast cancers, providing information beyond that of all other clinical pathological features examined. Thus, high expression of 14-3-3ζ in the primary tumor was significantly associated with earlier time to recurrence and with distant metastasis. Furthermore, even when the primary breast cancers were negative-low for 14-3-3ζ, the majority acquired increased expression in the recurrence. The findings underscore the detrimental role played by 14-3-3ζ in tumor aggressiveness and suggest that reducing its expression or interfering with its actions might substantially improve the clinical outcome for breast cancer patients.

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Year:  2012        PMID: 23271328      PMCID: PMC3632437          DOI: 10.1007/s10549-012-2390-0

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  30 in total

1.  Microarrays and clinical investigations.

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3.  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

4.  Interactions of c-Raf-1 with phosphatidylserine and 14-3-3.

Authors:  R A McPherson; A Harding; S Roy; A Lane; J F Hancock
Journal:  Oncogene       Date:  1999-07-01       Impact factor: 9.867

Review 5.  Prognostic factors in breast cancer. College of American Pathologists Consensus Statement 1999.

Authors:  P L Fitzgibbons; D L Page; D Weaver; A D Thor; D C Allred; G M Clark; S G Ruby; F O'Malley; J F Simpson; J L Connolly; D F Hayes; S B Edge; A Lichter; S J Schnitt
Journal:  Arch Pathol Lab Med       Date:  2000-07       Impact factor: 5.534

Review 6.  Prognostic and predictive factors in breast cancer by immunohistochemical analysis.

Authors:  D C Allred; J M Harvey; M Berardo; G M Clark
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8.  Identification of 14-3-3zeta as an EGF receptor interacting protein.

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10.  Tamoxifen downregulation of miR-451 increases 14-3-3ζ and promotes breast cancer cell survival and endocrine resistance.

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  14 in total

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Journal:  Adv Cancer Res       Date:  2013       Impact factor: 6.242

2.  Histone deacetylase 6 (HDAC6) promotes the pro-survival activity of 14-3-3ζ via deacetylation of lysines within the 14-3-3ζ binding pocket.

Authors:  Jeffrey B Mortenson; Lisa N Heppler; Courtney J Banks; Vajira K Weerasekara; Matthew D Whited; Stephen R Piccolo; William E Johnson; J Will Thompson; Joshua L Andersen
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3.  The effect of 14-3-3ζ expression on tamoxifen resistance and breast cancer recurrence: a Danish population-based study.

Authors:  Jake E Thistle; Ylva Hellberg; Kristina Mortensen; Stephen Hamilton-Dutoit; Anders Kjærsgaard; Deirdre Cronin-Fenton; Henrik Toft Sørensen; Timothy L Lash
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6.  14-3-3ζ/TGFβR1 promotes tumor metastasis in lung squamous cell carcinoma.

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7.  Glucocorticoid receptors are required effectors of TGFβ1-induced p38 MAPK signaling to advanced cancer phenotypes in triple-negative breast cancer.

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8.  The forkhead transcription factor FOXM1 promotes endocrine resistance and invasiveness in estrogen receptor-positive breast cancer by expansion of stem-like cancer cells.

Authors:  Anna Bergamaschi; Zeynep Madak-Erdogan; Yu Jin Kim; Yoon-La Choi; Hailing Lu; Benita S Katzenellenbogen
Journal:  Breast Cancer Res       Date:  2014-09-12       Impact factor: 6.466

9.  Overexpression of 14-3-3θ promotes tumor metastasis and indicates poor prognosis in breast carcinoma.

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10.  Validation of a network-based strategy for the optimization of combinatorial target selection in breast cancer therapy: siRNA knockdown of network targets in MDA-MB-231 cells as an in vitro model for inhibition of tumor development.

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