Literature DB >> 22736407

Frequency of mesenchymal-epithelial transition factor gene (MET) and the catalytic subunit of phosphoinositide-3-kinase (PIK3CA) copy number elevation and correlation with outcome in patients with early stage breast cancer.

Ana M Gonzalez-Angulo1, Huiqin Chen, Meghan S Karuturi, Mariana Chavez-MacGregor, Spyrus Tsavachidis, Funda Meric-Bernstam, Kim-Anh Do, Gabriel N Hortobagyi, Patricia A Thompson, Gordon B Mills, Melissa L Bondy, George R Blumenschein.   

Abstract

BACKGROUND: The current study was conducted to determine the frequency and association between recurrence-free survival (RFS) and MET and catalytic subunit of phosphoinositide-3-kinase (PIK3CA) copy number elevations in patients with early stage breast cancer.
METHODS: Tumor DNA was extracted from 971 formalin-fixed, paraffin-embedded early breast cancers for molecular inversion probes arrays. Data were segmented using the single-nucleotide polymorphism (SNP)-FASST2 segmentation algorithm. Copy number gains were called when the copy number of each segment was greater than 2.3 or 1.7, respectively. RFS was estimated by the Kaplan-Meier method. Cox proportional hazards models were fit to determine independent associations between copy number and RFS.
RESULTS: Of the 971 tumors studied, 82 (8.44%) and 134 (13.8%) had an elevation of the MET or PIK3CA copy number, respectively, and 25.6% of tumors with a MET copy number elevation had a PIK3CA copy number elevation. Patients with either a MET or PI3KCA high copy number tended to have poorer prognostic features (larger tumor size, higher tumor grade, and hormone receptor negativity). Both MET and PIK3CA high copy numbers were more likely to occur in patients with triple receptor-negative disease (P = .019 and P < .001, respectively). At a median follow-up of 7.4 years, there were 252 cases of disease recurrence. The 5-year RFS rates were 63.5% and 83.1% for MET high copy number and MET normal/low copy number, respectively (P = .06) and 73.1%, and 82.3% for PIK3CA high copy number and PIK3CA normal/low copy number, respectively (P = .15). A high copy number for either gene was not found to be an independent predictor of RFS.
CONCLUSIONS: A high copy number of MET or PIK3CA was found to be associated with poorer prognostic features and triple receptor-negative disease. Coamplification was frequent. Patients with tumors with high MET copy numbers tended to have a worse RFS.
Copyright © 2012 American Cancer Society.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22736407      PMCID: PMC3461089          DOI: 10.1002/cncr.27608

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  31 in total

Review 1.  Dysregulation of Met receptor tyrosine kinase activity in invasive tumors.

Authors:  Alla Danilkovitch-Miagkova; Berton Zbar
Journal:  J Clin Invest       Date:  2002-04       Impact factor: 14.808

Review 2.  PI3K pathway-directed therapeutic strategies in cancer.

Authors:  Roshan Agarwal; Mark Carey; Bryan Hennessy; Gordon B Mills
Journal:  Curr Opin Investig Drugs       Date:  2010-06

3.  Expression of the hepatocyte growth factor/c-Met pathway is increased at the cancer front in breast carcinoma.

Authors:  G Edakuni; E Sasatomi; T Satoh; O Tokunaga; K Miyazaki
Journal:  Pathol Int       Date:  2001-03       Impact factor: 2.534

4.  Scatter factor is a fibroblast-derived modulator of epithelial cell mobility.

Authors:  M Stoker; E Gherardi; M Perryman; J Gray
Journal:  Nature       Date:  1987 May 21-27       Impact factor: 49.962

Review 5.  Deciphering the role of PI3K/Akt/mTOR pathway in breast cancer biology and pathogenesis.

Authors:  Priscilla F McAuliffe; Funda Meric-Bernstam; Gordon B Mills; Ana M Gonzalez-Angulo
Journal:  Clin Breast Cancer       Date:  2010-11       Impact factor: 3.225

6.  PTEN activation contributes to tumor inhibition by trastuzumab, and loss of PTEN predicts trastuzumab resistance in patients.

Authors:  Yoichi Nagata; Keng-Hsueh Lan; Xiaoyan Zhou; Ming Tan; Francisco J Esteva; Aysegul A Sahin; Kristine S Klos; Ping Li; Brett P Monia; Nina T Nguyen; Gabriel N Hortobagyi; Mien-Chie Hung; Dihua Yu
Journal:  Cancer Cell       Date:  2004-08       Impact factor: 31.743

Review 7.  c-Met: structure, functions and potential for therapeutic inhibition.

Authors:  Patrick C Ma; Gautam Maulik; James Christensen; Ravi Salgia
Journal:  Cancer Metastasis Rev       Date:  2003-12       Impact factor: 9.264

8.  Purification and biological characterization of human hepatopoietin A, a polypeptide growth factor for hepatocytes.

Authors:  R Zarnegar; G Michalopoulos
Journal:  Cancer Res       Date:  1989-06-15       Impact factor: 12.701

9.  Activation of AKT/PKB in breast cancer predicts a worse outcome among endocrine treated patients.

Authors:  G Pérez-Tenorio; O Stål
Journal:  Br J Cancer       Date:  2002-02-12       Impact factor: 7.640

10.  The hepatocyte growth factor regulatory factors in human breast cancer.

Authors:  Christian Parr; Gareth Watkins; Robert E Mansel; Wen G Jiang
Journal:  Clin Cancer Res       Date:  2004-01-01       Impact factor: 12.531

View more
  26 in total

1.  Cooperative Effect of Oncogenic MET and PIK3CA in an HGF-Dominant Environment in Breast Cancer.

Authors:  Shuying Liu; Shunqiang Li; Bailiang Wang; Wenbin Liu; Mihai Gagea; Huiqin Chen; Joohyuk Sohn; Napa Parinyanitikul; Tina Primeau; Kim-Anh Do; George F Vande Woude; John Mendelsohn; Naoto T Ueno; Gordon B Mills; Debu Tripathy; Ana M Gonzalez-Angulo
Journal:  Mol Cancer Ther       Date:  2018-12-05       Impact factor: 6.261

2.  PI3K Inhibition Reduces Mammary Tumor Growth and Facilitates Antitumor Immunity and Anti-PD1 Responses.

Authors:  Jiqing Sai; Philip Owens; Sergey V Novitskiy; Oriana E Hawkins; Anna E Vilgelm; Jinming Yang; Tammy Sobolik; Nicole Lavender; Andrew C Johnson; Colt McClain; Gregory D Ayers; Mark C Kelley; Melinda Sanders; Ingrid A Mayer; Harold L Moses; Mark Boothby; Ann Richmond
Journal:  Clin Cancer Res       Date:  2016-12-21       Impact factor: 12.531

3.  Cytokeratin 5/6, c-Met expressions, and PTEN loss prognostic indicators in triple-negative breast cancer.

Authors:  Mevlude Inanc; Metin Ozkan; Halit Karaca; Veli Berk; Oktay Bozkurt; Ayse Ocak Duran; Ersin Ozaslan; Hulya Akgun; Fatos Tekelioglu; Ferhan Elmali
Journal:  Med Oncol       Date:  2013-12-11       Impact factor: 3.064

4.  Characterization of breast cancers with PI3K mutations in an academic practice setting using SNaPshot profiling.

Authors:  Vandana G Abramson; M Cooper Lloyd; Tarah Ballinger; Melinda E Sanders; Liping Du; Darson Lai; Zengliu Su; Ingrid Mayer; Mia Levy; Delecia R LaFrance; Cindy L Vnencak-Jones; Yu Shyr; Kimberly B Dahlman; William Pao; Carlos L Arteaga
Journal:  Breast Cancer Res Treat       Date:  2014-04-11       Impact factor: 4.872

5.  Combined analysis of copy number alterations by single-nucleotide polymorphism array and MYC status in non-metastatic breast cancer patients: comparison according to the circulating tumor cell status.

Authors:  R Nadal; M Salido; L Nonell; M Rodríguez-Rivera; E Puigdecanet; J L Garcia-Puche; M Macià; J M Corominas; M J Serrano; J A Lorente; F Solé
Journal:  Tumour Biol       Date:  2014-10-07

6.  Phase II and Biomarker Study of Cabozantinib in Metastatic Triple-Negative Breast Cancer Patients.

Authors:  Sara M Tolaney; David R Ziehr; Hao Guo; Mei R Ng; William T Barry; Michaela J Higgins; Steven J Isakoff; Jane E Brock; Elena V Ivanova; Cloud P Paweletz; Michelle K Demeo; Nikhil H Ramaiya; Beth A Overmoyer; Rakesh K Jain; Eric P Winer; Dan G Duda
Journal:  Oncologist       Date:  2016-10-27       Impact factor: 5.837

Review 7.  Prognostic significance of c-Met in breast cancer: a meta-analysis of 6010 cases.

Authors:  Shunchao Yan; Xin Jiao; Huawei Zou; Kai Li
Journal:  Diagn Pathol       Date:  2015-06-06       Impact factor: 2.644

Review 8.  PI3K mutations in breast cancer: prognostic and therapeutic implications.

Authors:  Toru Mukohara
Journal:  Breast Cancer (Dove Med Press)       Date:  2015-05-15

Review 9.  Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential.

Authors:  Claudia Cava; Gloria Bertoli; Isabella Castiglioni
Journal:  BMC Syst Biol       Date:  2015-09-21

10.  High MET expression is an adverse prognostic factor in patients with triple-negative breast cancer.

Authors:  F Zagouri; Z Bago-Horvath; F Rössler; A Brandstetter; R Bartsch; C A Papadimitriou; C Dimitrakakis; A Tsigginou; I Papaspyrou; A Giannos; M-A Dimopoulos; M Filipits
Journal:  Br J Cancer       Date:  2013-02-19       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.