Literature DB >> 21337548

Accumulation of p53 determined by immunohistochemistry as a prognostic marker in node negative breast cancer; analysis according to St Gallen consensus and intrinsic subtypes.

So-Youn Jung1, Junsoo Jeong, Seung Ho Shin, Youngmee Kwon, Eun-A Kim, Kyoung Lan Ko, Kyung Hwan Shin, Jungsil Ro, Keun Seok Lee, In Hae Park, Seeyoun Lee, Seok Won Kim, Han-Sung Kang.   

Abstract

BACKGROUND: This study evaluated the prognostic impact of p53 accumulation by immunohistochemistry (IHC) in lymph node-negative breast cancer (LNN-BC), and in subgroups of St Gallen consensus and intrinsic subtypes.
METHODS: A total 845 with a pathologic diagnosis of LNN-BC patients that underwent surgery at the National Cancer Center, Korea between 2001 and 2005 were retrospectively reviewed.
RESULTS: The median age was 48 years (range: 25-85) and median follow-up period was 66.0 months (range: 9-101). Univariate analysis determined that tumor size, estrogen receptor (ER), progesterone receptor (PgR), p53, and Ki-67 were significant for disease free survival (DFS). Of these factors, PgR negativity (HR 3.57; 95% CI 1.26-10.09; P = 0.01) and p53 positivity (HR 3.17; 95% CI 1.51-6.65; P = 0.002) were independent prognostic factors in multivariate analysis. In the subanalysis for 4 intrinsic subtypes (luminal A, luminal B, HER2-overexpression, and triple-negative subtypes) and risk groups by St Gallen consensus, there were significant differences of DFS rates by p53 (5-year DFS rate, luminal A; 97.2% for p53 (-) vs 93.8% for p53 (+); P = 0.03, triple-negative subgroups; 94.1% vs 78.7%; P = 0.002, intermediate-risk group; 96.5% vs 90.7%; P = 0.003).
CONCLUSIONS: P53 has prognostic power in LNN-BC, and gives the additional prognostic information for intrinsic subtypes and St Gallen consensus.
Copyright © 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 21337548     DOI: 10.1002/jso.21819

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  7 in total

1.  Predictors of recurrence in breast cancer subtypes with negative lymph node in a Chinese population.

Authors:  Xia Liu; Yong Guan; Wei Zhang; Shan Liu; Junjun Liu; Li Wang; Yun Niu
Journal:  Int J Clin Exp Pathol       Date:  2014-05-15

2.  A single nucleotide polymorphism in PIK3CA gene is inversely associated with P53 protein expression in breast cancer.

Authors:  Bo Pang; Shi-Peng Sun; Lei Gao; Rui-Li Zhu; Li-xin Zhang; Cheng An; Zhi-Yuan Liu; Gui-Jian Liu
Journal:  Med Oncol       Date:  2014-06-08       Impact factor: 3.064

3.  Outcome of triple-negative breast cancer in patients with or without markers regulating cell cycle and cell death.

Authors:  Dong Won Ryu; Chung Han Lee
Journal:  J Korean Surg Soc       Date:  2012-09-25

4.  p53 accumulation is a strong predictor of recurrence in estrogen receptor-positive breast cancer patients treated with aromatase inhibitors.

Authors:  Mitsugu Yamamoto; Mitsuchika Hosoda; Kiichiroh Nakano; Shusheng Jia; Kanako C Hatanaka; Emi Takakuwa; Yutaka Hatanaka; Yoshihiro Matsuno; Hiroko Yamashita
Journal:  Cancer Sci       Date:  2013-11-22       Impact factor: 6.716

5.  Effect Modification of Hormonal Therapy by p53 Status in Invasive Breast Cancer.

Authors:  Sei Hyun Ahn; Hwa Jung Kim; Wonshik Han; Jihyoung Cho; Gyungyub Gong; Kyung Hae Jung; Sung-Bae Kim; Byung Ho Son; Jong Won Lee
Journal:  J Breast Cancer       Date:  2013-12-31       Impact factor: 3.588

6.  The effect of immunohistochemically detected p53 accumulation in prognosis of breast cancer; A retrospective survey of outcome.

Authors:  Sanambar Sadighi; Mohammad Zokaasadi; Amir Kasaeian; Somaye Maghsudi; Issa Jahanzad; Hosein Kamranzadeh Fumani
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

7.  Elevated p53 expression levels correlate with tumor progression and poor prognosis in patients exhibiting esophageal squamous cell carcinoma.

Authors:  Kate Huang; Lin Chen; Jiliang Zhang; Zhi Wu; Linhua Lan; Lu Wang; Bin Lu; Yongzhang Liu
Journal:  Oncol Lett       Date:  2014-07-11       Impact factor: 2.967

  7 in total

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