Literature DB >> 24144752

[Screening molecular markers in early breast cancer of the same pathological types but with different prognoses using Agilent gene chip].

Zhou Li1, Liang Peng, Shuai Han, Zonghai Huang, Fujun Shi, Zhai Cai, Xiuqin Li, Pusheng Zhang, Huijuan Zhu, Weirong Jin.   

Abstract

OBJECTIVE: To screen molecular markers in early breast cancer and establish gene subtyping-based diagnostic criteria for predicting the prognosis of early breast cancers.
METHODS: Tumor tissue specimens were obtained from 8 patients with early breast cancer for analysis of the differentially expressed genes using Agilent custom 8×15 000 chips in combination with the prognostic data of the patients. Another 42 tumor tissue specimens were used to validate the differential genes by real-time fluorescent quantitative PCR.
RESULTS: Gene microarray analysis identified 132 differentially expressed genes between the patients with favorable and poor prognosis, and 44 of these genes were significantly up-regulated (by over two folds) and 88 down-regulated in patients with poor prognoses.
CONCLUSION: The gene expression profiles differ in early breast cancer tissues of the same pathological type but with different clinical stages and prognoses, and CD44, MKI67, NTRK2, Nek2, C16orf60, TOP2A, ANCCA, and RRM2 genes can be used as the prognostic markers for early breast cancer.

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Year:  2013        PMID: 24144752

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  3 in total

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Authors:  Hang Zhang; Xiyong Liu; Charles D Warden; Yasheng Huang; Sofia Loera; Lijun Xue; Suzhan Zhang; Peiguo Chu; Shu Zheng; Yun Yen
Journal:  BMC Cancer       Date:  2014-09-11       Impact factor: 4.430

  3 in total

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