Literature DB >> 11309336

Allelic losses of loci at 3p25.1, 8p22, 13q12, 17p13.3, and 22q13 correlate with postoperative recurrence in breast cancer.

A Hirano1, M Emi, M Tsuneizumi, Y Utada, M Yoshimoto, F Kasumi, F Akiyama, G Sakamoto, S Haga, T Kajiwara, Y Nakamura.   

Abstract

We previously defined 18 chromosomal regions in which frequent allelic losses were observed in breast cancers (T. Sato et al., Cancer RES:, 50: 7184-7189, 1990; Y. Harada et al., Cancer (PHILA:), 74: 2281-2286, 1994; I. Ito et al., BR: J. Cancer, 71: 438-441, 1995; K. Tsukamoto et al., Cancer (PHILA:), 78: 1929-1934, 1996; S. Matsumoto et al., Genes Chromosomes Cancer, 20: 268-274, 1997; T. Yokota et al., JPN: J. Cancer RES:, 88: 959-964, 1997; K. Tsukamoto et al., Cancer (PHILA:), 82: 317-322, 1998; A. Iida et al., Genes Chromosomes Cancer, 21: 108-112, 1998; K. Fukino et al., Genes Chromosomes Cancer, 24: 345-350, 1999; T. Yokota et al., Cancer (PHILA:), 85: 447-452, 1999; Y. Utada et al., JPN: J. Cancer RES:, 91: 293-300, 2000). To identify specific allelic losses that might correlate with postoperative recurrence, we examined tumors from a cohort of 504 breast cancer patients, who were followed clinically for 5 years postoperatively, for allelic losses of 18 microsatellite markers. Patients whose tumors had lost an allele at 3p25.1, 8p22, 13q12, 17p13.3, or 22q13 had significantly higher risks of recurrence than those whose tumors retained both alleles at those loci; at 3p25.1, the 5-year recurrence rate was 27% among patients with losses versus 18% with retention (P = 0.0131); at 8p22, 27% versus 14% (P = 0.0129); at 13q12, 28% versus 15% (P = 0.0109); at 17p13.3, 27% versus 20% (P = 0.0482); and at 22q13, 29% versus 20% (P = 0.0477). These data indicate that loss of heterozygosity at any one of these five specific loci is a significant predictor of postoperative recurrence among patients who have undergone surgery for breast cancer. These allelic losses can serve as negative prognostic indicators to guide postoperative management of patients.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11309336

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  20 in total

Review 1.  Impact of CYP2D6 polymorphisms on endoxifen concentrations and breast cancer outcomes.

Authors:  G S Hwang; R Bhat; R D Crutchley; M V Trivedi
Journal:  Pharmacogenomics J       Date:  2017-08-01       Impact factor: 3.550

2.  Concordance between CYP2D6 genotypes obtained from tumor-derived and germline DNA.

Authors:  James M Rae; Meredith M Regan; Jacklyn N Thibert; Christina Gersch; Dafydd Thomas; Brian Leyland-Jones; Giuseppe Viale; Lajos Pusztai; Daniel F Hayes; Todd Skaar; Catherine Van Poznak
Journal:  J Natl Cancer Inst       Date:  2013-08-19       Impact factor: 13.506

3.  Molecular cloning and characterization of CIDE-3, a novel member of the cell-death-inducing DNA-fragmentation-factor (DFF45)-like effector family.

Authors:  Liang Liang; Mujun Zhao; Zhenhua Xu; Kazunari K Yokoyama; Tsaiping Li
Journal:  Biochem J       Date:  2003-02-15       Impact factor: 3.857

Review 4.  The prognostic molecular markers in hepatocellular carcinoma.

Authors:  Lun-Xiu Qin; Zhao-You Tang
Journal:  World J Gastroenterol       Date:  2002-06       Impact factor: 5.742

Review 5.  Metabolism and transport of tamoxifen in relation to its effectiveness: new perspectives on an ongoing controversy.

Authors:  Deirdre P Cronin-Fenton; Per Damkier; Timothy L Lash
Journal:  Future Oncol       Date:  2014-01       Impact factor: 3.404

6.  Loss of heterozygosity at the CYP2D6 locus in breast cancer: implications for germline pharmacogenetic studies.

Authors:  Matthew P Goetz; James X Sun; Vera J Suman; Grace O Silva; Charles M Perou; Yusuke Nakamura; Nancy J Cox; Philip J Stephens; Vincent A Miller; Jeffrey S Ross; David Chen; Stephanie L Safgren; Mary J Kuffel; Matthew M Ames; Krishna R Kalari; Henry L Gomez; Ana M Gonzalez-Angulo; Octavio Burgues; Hiltrud B Brauch; James N Ingle; Mark J Ratain; Roman Yelensky
Journal:  J Natl Cancer Inst       Date:  2014-12-08       Impact factor: 13.506

7.  8p22 MTUS1 gene product ATIP3 is a novel anti-mitotic protein underexpressed in invasive breast carcinoma of poor prognosis.

Authors:  Sylvie Rodrigues-Ferreira; Anne Di Tommaso; Ariane Dimitrov; Sylvie Cazaubon; Nadège Gruel; Hélène Colasson; André Nicolas; Nathalie Chaverot; Vincent Molinié; Fabien Reyal; Brigitte Sigal-Zafrani; Benoit Terris; Olivier Delattre; François Radvanyi; Franck Perez; Anne Vincent-Salomon; Clara Nahmias
Journal:  PLoS One       Date:  2009-10-01       Impact factor: 3.240

8.  CYP2D6 metabolism and patient outcome in the Austrian Breast and Colorectal Cancer Study Group trial (ABCSG) 8.

Authors:  Matthew P Goetz; Vera J Suman; Tanya L Hoskin; Michael Gnant; Martin Filipits; Stephanie L Safgren; Mary Kuffel; Raimund Jakesz; Margaretha Rudas; Richard Greil; Otto Dietze; Alois Lang; Felix Offner; Carol A Reynolds; Richard M Weinshilboum; Matthew M Ames; James N Ingle
Journal:  Clin Cancer Res       Date:  2012-12-04       Impact factor: 12.531

Review 9.  Recent progress in predictive biomarkers for metastatic recurrence of human hepatocellular carcinoma: a review of the literature.

Authors:  Lun-Xiu Qin; Zhao-You Tang
Journal:  J Cancer Res Clin Oncol       Date:  2004-06-17       Impact factor: 4.553

10.  Prediction of tamoxifen outcome by genetic variation of CYP2D6 in post-menopausal women with early breast cancer.

Authors:  Hiltrud Brauch; Matthias Schwab
Journal:  Br J Clin Pharmacol       Date:  2014-04       Impact factor: 4.335

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.