Literature DB >> 24023325

Definition of p53 overexpression and its association with the clinicopathological features in luminal/HER2-negative breast cancer.

Shoichi Kikuchi1, Reiki Nishimura, Tomofumi Osako, Yasuhiro Okumura, Yasuyuki Nishiyama, Yasuo Toyozumi, Nobuyuki Arima.   

Abstract

AIMS: A suitable cut-off value for p53 overexpression and its usefulness as a prognostic factor in luminal/HER2-negative breast cancer were evaluated. PATIENTS AND METHODS: A retrospective analysis of 1,987 patients with luminal/HER2-negative breast cancer who underwent surgery between 2001 and 2009 was performed.
RESULTS: p53 expression ≥50% was present in 9% of the patients. Moreover, these patients had significantly lower estrogen/progesterone receptor-positive rates, higher Ki-67 values, larger tumors, disease-positive nodes, higher nuclear grade, and shorter disease-free survival than patients with p53 expression <50% (p<0.0001). Therefore, status of p53-positive cells ≥50% was classified as p53 overexpression. These findings indicate that p53 overexpression is associated with unfavorable characteristics and prognosis.
CONCLUSION: The suitable cut-off value for p53 overexpression was determined to be 50%, and p53 overexpression appears to be a significant prognostic factor in patients with luminal/HER2-negative breast cancer.

Entities:  

Keywords:  Clinicopathological features; immunohistochemistry; luminal/HER2-negative breast cancer; p53 cut-off point; p53 overexpression; prognostic factor

Mesh:

Substances:

Year:  2013        PMID: 24023325

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  10 in total

1.  Rational Manual and Automated Scoring Thresholds for the Immunohistochemical Detection of TP53 Missense Mutations in Human Breast Carcinomas.

Authors:  Nicholas J Taylor; Nana Nikolaishvili-Feinberg; Bentley R Midkiff; Kathleen Conway; Robert C Millikan; Joseph Geradts
Journal:  Appl Immunohistochem Mol Morphol       Date:  2016-07

2.  Application of Multiplex Ligation-Dependent Probe Amplification in Determining the Copy Number Alterations of HER Gene Family Members in Invasive Ductal Breast Carcinoma.

Authors:  Mohsen Soosanabadi; Reza Mirfakhraie; Lilit Atanesyan; Akbar Biglarian; Fatemeh Aghakhani Moghadam; Maryam Rahimi; Farkhondeh Behjati; Elaheh Keyhani
Journal:  Rep Biochem Mol Biol       Date:  2019-04

3.  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

4.  In situ normoxia enhances survival and proliferation rate of human adipose tissue-derived stromal cells without increasing the risk of tumourigenesis.

Authors:  Jane Ru Choi; Belinda Pingguan-Murphy; Wan Abu Bakar Wan Abas; Kar Wey Yong; Chi Tat Poon; Mat Adenan Noor Azmi; Siti Zawiah Omar; Kien Hui Chua; Feng Xu; Wan Kamarul Zaman Wan Safwani
Journal:  PLoS One       Date:  2015-01-23       Impact factor: 3.240

5.  Clinical Characteristics and Prognosis Associated with Multiple Primary Cancers in Breast Cancer Patients.

Authors:  Bong Kyun Kim; Se Jeong Oh; Jeong-Yoon Song; Han-Byoel Lee; Min Ho Park; Yongsik Jung; Woo-Chan Park; Jina Lee; Woo Young Sun
Journal:  J Breast Cancer       Date:  2018-03-23       Impact factor: 3.588

Review 6.  Oncogenic and Tumor Suppressive Components of the Cell Cycle in Breast Cancer Progression and Prognosis.

Authors:  Dharambir Kashyap; Vivek Kumar Garg; Elise N Sandberg; Neelam Goel; Anupam Bishayee
Journal:  Pharmaceutics       Date:  2021-04-17       Impact factor: 6.321

7.  Determination of expression profile of p53 gene in different grades of breast cancer tissues by real time PCR.

Authors:  Haleema Sadia; Munir Ahmad Bhinder; Asma Irshad; Beenish Zahid; Rais Ahmed; Sana Ashiq; Kausar Malik; Muhammad Riaz; Tariq Nadeem; Kanwal Ashiq; Ali Akbar
Journal:  Afr Health Sci       Date:  2020-09       Impact factor: 0.927

8.  Distinguishing Low-Risk Luminal A Breast Cancer Subtypes with Ki-67 and p53 Is More Predictive of Long-Term Survival.

Authors:  Se Kyung Lee; Soo Youn Bae; Jun Ho Lee; Hyun-Chul Lee; Hawoo Yi; Won Ho Kil; Jeong Eon Lee; Seok Won Kim; Seok Jin Nam
Journal:  PLoS One       Date:  2015-08-04       Impact factor: 3.240

9.  Amplification of Mdmx and overexpression of MDM2 contribute to mammary carcinogenesis by substituting for p53 mutations.

Authors:  Qiong Yu; Yan Li; Kun Mu; Zhishuang Li; Qingyong Meng; Xiaojuan Wu; Yan Wang; Li Li
Journal:  Diagn Pathol       Date:  2014-03-25       Impact factor: 2.644

10.  The Value of Prognostic Nutritional Index (PNI) in Predicting Survival and Guiding Radiotherapy of Patients With T1-2N1 Breast Cancer.

Authors:  Xin Hua; Zhi-Qing Long; Xin Huang; Jia-Peng Deng; Zhen-Yu He; Ling Guo; Wen-Wen Zhang; Huan-Xin Lin
Journal:  Front Oncol       Date:  2020-01-30       Impact factor: 6.244

  10 in total

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