Literature DB >> 15473930

[Expression correlation of Ki67 to P53,VEGF,and C-erbB-2 genes in breast cancer and their clinical significances].

Bao-Jiang Li1, Zhi-Hua Zhu, Jun-Ye Wang, Jing-Hui Hou, Jin-Ming Zhao, Peng-Yuan Zhang, Guang-Yu Yao, Xi Wang, Hao Long, Ming-Tian Yang, Tie-Hua Rong.   

Abstract

BACKGROUND &
OBJECTIVE: The proliferating antigen Ki67 is an important biological marker in cell proliferation. This study was designed to investigate the expressions of Ki67, P53, vascular endothelial growth factor (VEGF),and C-erbB-2 in breast cancer tissue, and their correlations with cliniopathological significance.
METHODS: The expressions of Ki67,p53,VEGF,and C-erbB-2 in 151 cases of breast cancer were assessed by immunohisto-chemistry, and their correlations with clinicopathological factors were statistically analyzed.
RESULTS: The positive rate of Ki67 was 78.2%(113/151). The expression of Ki67 correlated with tumor stages (P< 0.05), but didn't relate to age, tumor size, and lymph node status (P >0.05). In addition,the expression of Ki76 had a positive correlation with the expressions of p53, and C-erbB-2 (P< 0.05), but not with the expression of VEGF (P >0.05). The co-expression of Ki67 and VEGF related to tumor size,and clinical stage (P< 0.05).
CONCLUSIONS: The expression of Ki67 is an objective biological marker for estimating the occurrence and progression of breast cancer. Combined detection of Ki67 and VEGF may helps to judge the clinical stage of breast cancer.

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Year:  2004        PMID: 15473930

Source DB:  PubMed          Journal:  Ai Zheng


  5 in total

1.  Relation between qualitative and quantitative 3-dimensional ultrasound and ki-67 expression in breast cancer.

Authors:  Xiao-Yan Wang; Bing Zhang; Yan He; Bing Ning; Mei-Fen Nong; Hai-Ming Wei; Xiang-Hong Huang
Journal:  Int J Clin Exp Med       Date:  2015-10-15

2.  Correlation Between Contrast-enhanced Ultrasound Characteristics (Qualitative and Quantitative) and Pathological Prognostic Factors in Breast Cancer.

Authors:  Irene Vraka; Evangelia Panourgias; Emmanouil Sifakis; Andreas Koureas; Petros Galanis; Dionysios Dellaportas; Athanasios Gouliamos; Aristides Antoniou
Journal:  In Vivo       Date:  2018 Jul-Aug       Impact factor: 2.155

3.  Number of negative lymph nodes can predict survival after postmastectomy radiotherapy according to different breast cancer subtypes.

Authors:  San-Gang Wu; Fang Peng; Juan Zhou; Jia-Yuan Sun; Feng-Yan Li; Qin Lin; Huan-Xin Lin; Yong Bao; Zhen-Yu He
Journal:  J Cancer       Date:  2015-01-20       Impact factor: 4.207

4.  Prognostic value of Ki-67 in breast cancer patients with positive axillary lymph nodes: a retrospective cohort study.

Authors:  Feng-yan Li; San-gang Wu; Juan Zhou; Jia-yuan Sun; Qin Lin; Huan-xin Lin; Xun-xing Guan; Zhen-yu He
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

Review 5.  A Review of the Clinical Implications of Breast Cancer Biology.

Authors:  Yekta Parsa; Seyed Abbas Mirmalek; Fatemeh Elham Kani; Amir Aidun; Seyed Alireza Salimi-Tabatabaee; Soheila Yadollah-Damavandi; Ehsan Jangholi; Tina Parsa; Ehsan Shahverdi
Journal:  Electron Physician       Date:  2016-05-25
  5 in total

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