Literature DB >> 17180510

p53 expression status is a significant molecular marker in predicting the time to endocrine therapy failure in recurrent breast cancer: a cohort study.

Kazuharu Kai1, Reiki Nishimura, Nobuyuki Arima, Haruhiko Miyayama, Hirotaka Iwase.   

Abstract

BACKGROUND: Hormone receptor status has been one of the most important factors in predicting the response to endocrine therapy in breast cancer patients. However, half of those patients with estrogen receptor-positive tumors do not respond to endocrine therapy. There have been no universal factors for predicting resistance to endocrine therapy in this population. Recently, p53 status has been extensively used as a predictive factor for response to systemic therapy, because tumor cells lacking p53 function do not respond to systemic therapy due to a failure in apoptosis. We therefore studied the relationship between the efficacy of endocrine therapy and biological factors, including p53.
METHODS: The expression of p53, Ki67, and human epidermal growth factor receptor (HER)2 was examined by immunostaining in the primary tumors of 53 patients who received endocrine therapy for recurrent or advanced breast cancer. The following clinical factors were also analyzed: site treated, disease-free interval, and response to first-line endocrine therapy. To evaluate the significance of these factors, time to endocrine therapy failure (TTEF), or the total duration of sequential endocrine therapies was adopted as representing the clinical outcome.
RESULTS: The median TTEF was 16.1 months (range, 2.5-89.9 months). Multivariate analysis showed significantly reduced TTEF associated with no response to first-line endocrine therapy (P = 0.006 and P = 0.002 in all patients and in recurrent patients, respectively) and associated with positive p53 expression (P = 0.066 and P = 0.004, respectively).
CONCLUSION: p53 expression status was a significant molecular marker as well as the response to first-line endocrine therapy for predicting TTEF in recurrent breast cancer with hormone-sensitive disease.

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Year:  2006        PMID: 17180510     DOI: 10.1007/s10147-006-0601-6

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  21 in total

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  13 in total

1.  Prognostic impact of progesterone receptor status combined with body mass index in breast cancer patients treated with adjuvant aromatase inhibitor.

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2.  Prognostic significance of Ki-67 index value at the primary breast tumor in recurrent breast cancer.

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3.  Ki-67 as a prognostic marker according to breast cancer subtype and a predictor of recurrence time in primary breast cancer.

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4.  Time to first tumor progression as a predictor of efficacy of continued treatment with trastuzumab beyond progression in human epidermal growth factor receptor 2-positive metastatic breast cancer.

Authors:  Mitsuhiro Hayashi; Yasuhiro Okumura; Tomofumi Osako; Yasuo Toyozumi; Nobuyuki Arima; Hirotaka Iwase; Reiki Nishimura
Journal:  Int J Clin Oncol       Date:  2011-05-11       Impact factor: 3.402

5.  High estrogen receptor expression and low Ki67 expression are associated with improved time to progression during first-line endocrine therapy with aromatase inhibitors in breast cancer.

Authors:  Yumi Endo; Tatsuya Toyama; Satoru Takahashi; Hiroshi Sugiura; Nobuyasu Yoshimoto; Mai Iwasa; Shunzo Kobayashi; Yoshitaka Fujii; Hiroko Yamashita
Journal:  Int J Clin Oncol       Date:  2011-03-23       Impact factor: 3.402

6.  An evaluation of lymphovascular invasion in relation to biology and prognosis according to subtypes in invasive breast cancer.

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7.  Analysis of p53 gene polymorphisms and protein over-expression in patients with breast cancer.

Authors:  Mustafa Akkiprik; Ozgur Sonmez; Bahadir M Gulluoglu; Hale B Caglar; Handan Kaya; Pakize Demirkalem; Ufuk Abacioglu; Meric Sengoz; Aydin Sav; Ayse Ozer
Journal:  Pathol Oncol Res       Date:  2009-09       Impact factor: 3.201

8.  Shift in cytotoxic target from estrogen receptor-positive to estrogen receptor-negative breast cancer cells by trastuzumab in combination with taxane-based chemotherapy.

Authors:  Mitsuhiro Hayashi; Kazuharu Kai; Yasuhiro Okumura; Tomofumi Osako; Nobuyuki Arima; Hirotaka Iwase; Reiki Nishimura
Journal:  Oncol Lett       Date:  2011-01-11       Impact factor: 2.967

9.  Changes in the ER, PgR, HER2, p53 and Ki-67 biological markers between primary and recurrent breast cancer: discordance rates and prognosis.

Authors:  Reiki Nishimura; Tomofumi Osako; Yasuhiro Okumura; Rumiko Tashima; Yasuo Toyozumi; Nobuyuki Arima
Journal:  World J Surg Oncol       Date:  2011-10-17       Impact factor: 2.754

10.  Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study.

Authors:  Rumiko Tashima; Reiki Nishimura; Tomofumi Osako; Yasuyuki Nishiyama; Yasuhiro Okumura; Masahiro Nakano; Mamiko Fujisue; Yasuo Toyozumi; Nobuyuki Arima
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

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