Literature DB >> 12616383

Prognostic significance of the combination of biological parameters in breast cancer.

Shinichi Tsutsui1, Shinji Ohno, Shigeru Murakami, Akemi Kataoka, Junko Kinoshita, Yoichi Hachitanda.   

Abstract

To evaluate whether the combination of biological parameters increases their prognostic value, the expression of epidermal growth factor receptor (EGFR), DNA ploidy, and estrogen receptor (ER) status were analyzed on 998 patients with breast cancer. Poor findings for each biological parameter were positive for EGFR, aneuploid for DNA ploidy, and negative for ER. According to the number of poor findings in these three parameters, the groups with none (309 cases), one (377 cases), two (161 cases), and three (151 cases) poor findings were classified. A significant ( P < 0.0001) difference was found in the disease-free survival (DFS) among the four groups. A multivariate analysis indicated the combination of three biological parameters to be an independently significant factor for DFS, while the relative risk gradually increased as the number of poor findings increased. In conclusion, the present study indicated a gradual increase in the prognostic significance as the number of combined biological parameters increased.

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Year:  2003        PMID: 12616383     DOI: 10.1007/s005950300035

Source DB:  PubMed          Journal:  Surg Today        ISSN: 0941-1291            Impact factor:   2.549


  3 in total

1.  Synergistic interaction between trastuzumab and EGFR/HER-2 tyrosine kinase inhibitors in HER-2 positive breast cancer cells.

Authors:  Norma O'Donovan; Annette T Byrne; Aisling E O'Connor; Sharon McGee; William M Gallagher; John Crown
Journal:  Invest New Drugs       Date:  2010-03-16       Impact factor: 3.850

2.  Relationship between nuclear morphometry, DNA content and resectability of pancreatic cancer.

Authors:  Yin-Cheng He; Wei Peng; Jian-Guo Qiao; Jun Cao; Ji-Wei Chen
Journal:  World J Gastroenterol       Date:  2003-08       Impact factor: 5.742

3.  DNA aneuploidy and breast cancer: a meta-analysis of 141,163 cases.

Authors:  Jing Xu; Lei Huang; Jun Li
Journal:  Oncotarget       Date:  2016-09-13
  3 in total

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