Literature DB >> 22939959

Ki-67 expression in axillary lymph node metastases in breast cancer is prognostically significant.

Kareem Tawfik1, Bruce F Kimler, Marilyn K Davis, Fang Fan, Ossama Tawfik.   

Abstract

Several studies have documented the prognostic significance of cell proliferation in breast cancer and its positive relationship with tumor grade, size, mitotic activity, hormonal and Her-2 status, and tumor progression. The Ki-67 antigen provides an accurate measure of the growth fraction of a tumor. Ki-67 expression in 103 primary breast carcinomas and their corresponding axillary lymph node metastases was correlated with age, tumor grade, size, estrogen receptor (ER), progesterone receptor (PgR), p53, epidermal growth factor receptor (EGFR), Bcl-2, Her-2 status, and patients' overall survival. Median Ki-67 expression in primary and metastatic tumors was 20% and 15%, respectively. Although there was no difference in overall survival (P = .65, log-rank test) between primary tumors with less than or at least 10% Ki-67 expression, there was significantly better overall survival when Ki-67 expression in lymph nodes was less than 10% (P = .040). For patients whose primary tumors exhibited Ki-67 expression less than 10%, most of their metastatic lesions had a similar low Ki-67; these patients had a favorable outcome. A small subgroup was noted to have a nodal Ki-67 of 10% or more and worse survival (P = .047). For patients whose primary tumors had a Ki-67 of 10% or more, most of their metastatic lesions had similar high Ki-67 values; however, a group of 12 patients had lymph node Ki-67 less than 10% and had a better overall survival (P = .092). Our results showed that measurement of Ki-67 in lymph node is superior to its evaluation in primary tumors. Identification of subgroups of patients in whom Ki-67 expression in lymph nodes differs from expression in primary tumor may assist in the selection of therapeutic options.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22939959     DOI: 10.1016/j.humpath.2012.05.007

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  18 in total

1.  Epithelial-mesenchymal transition markers in lymph node metastases and primary breast tumors - relation to dissemination and proliferation.

Authors:  Aleksandra Markiewicz; Marzena Wełnicka-Jaśkiewicz; Barbara Seroczyńska; Jarosław Skokowski; Hanna Majewska; Jolanta Szade; Anna J Żaczek
Journal:  Am J Transl Res       Date:  2014-11-22       Impact factor: 4.060

2.  Comparison of the expression of prognostic biomarkers between primary tumor and axillary lymph node metastases in breast cancer.

Authors:  Song Zhao; Lanwei Xu; Wenjun Liu; Cuixia Lv; Kai Zhang; Haidong Gao; Jianli Wang; Rong Ma
Journal:  Int J Clin Exp Pathol       Date:  2015-05-01

3.  Diagnostic implications of Ki-67 expression in adipocytes and lipoblasts: an immunohistochemical study.

Authors:  Hong-Jun Wang; Cong-Yang Li; Yang-Kun Wang
Journal:  Int J Clin Exp Pathol       Date:  2014-12-01

4.  Large-scale RNA-Seq Transcriptome Analysis of 4043 Cancers and 548 Normal Tissue Controls across 12 TCGA Cancer Types.

Authors:  Li Peng; Xiu Wu Bian; Di Kang Li; Chuan Xu; Guang Ming Wang; Qing You Xia; Qing Xiong
Journal:  Sci Rep       Date:  2015-08-21       Impact factor: 4.379

5.  Ki-67 is a strong prognostic marker of non-small cell lung cancer when tissue heterogeneity is considered.

Authors:  Kazuhiro Tabata; Tomonori Tanaka; Tomayoshi Hayashi; Takashi Hori; Sayuri Nunomura; Suguru Yonezawa; Junya Fukuoka
Journal:  BMC Clin Pathol       Date:  2014-05-13

6.  Ki-67 Expression in CRC Lymph Node Metastasis Does Not Predict Survival.

Authors:  Sandra F Martins; Ricardo Amorim; Sílvia Coelho Mota; Luís Costa; Fernando Pardal; Mesquita Rodrigues; Adhemar Longatto-Filho
Journal:  Biomed Res Int       Date:  2015-09-13       Impact factor: 3.411

7.  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 8.  Molecular markers for breast cancer: prediction on tumor behavior.

Authors:  Bruna Karina Banin Hirata; Julie Massayo Maeda Oda; Roberta Losi Guembarovski; Carolina Batista Ariza; Carlos Eduardo Coral de Oliveira; Maria Angelica Ehara Watanabe
Journal:  Dis Markers       Date:  2014-01-28       Impact factor: 3.434

9.  Preferential Allele Expression Analysis Identifies Shared Germline and Somatic Driver Genes in Advanced Ovarian Cancer.

Authors:  Najeeb M Halabi; Alejandra Martinez; Halema Al-Farsi; Eliane Mery; Laurence Puydenus; Pascal Pujol; Hanif G Khalak; Cameron McLurcan; Gwenael Ferron; Denis Querleu; Iman Al-Azwani; Eman Al-Dous; Yasmin A Mohamoud; Joel A Malek; Arash Rafii
Journal:  PLoS Genet       Date:  2016-01-06       Impact factor: 5.917

10.  Evaluation of Tumor Cell Proliferation by Ki-67 Expression and Mitotic Count in Lymph Node Metastases from Breast Cancer.

Authors:  Sura Aziz; Elisabeth Wik; Gøril Knutsvik; Tor Audun Klingen; Ying Chen; Benedicte Davidsen; Hans Aas; Turid Aas; Lars A Akslen
Journal:  PLoS One       Date:  2016-03-08       Impact factor: 3.240

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