Literature DB >> 23479208

Ki-67 evaluation at the hottest spot predicts clinical outcome of patients with hormone receptor-positive/HER2-negative breast cancer treated with adjuvant tamoxifen monotherapy.

Naoko Honma1, Rie Horii, Takuji Iwase, Shigehira Saji, Mamoun Younes, Yoshinori Ito, Futoshi Akiyama.   

Abstract

BACKGROUND: The clinicopathological importance of Ki-67 in breast cancers has been intensely studied; however, there have been few systematic large studies of patients treated with predefined adjuvant therapy. Further, Ki-67 evaluation methodology differed among studies, which prevents Ki-67 from being used for clinical practice. We performed a large systematic study using routinely processed tissues and compared various scoring methods.
METHODS: Representative slides of archival tissue blocks of 442 consecutive invasive breast cancers from women treated with adjuvant tamoxifen monotherapy and having a long follow-up period were subjected to immunohistochemistry using anti-Ki-67 monoclonal antibody, Mib-1. Both the average score across the section and the score at the hottest spot were assessed.
RESULTS: Ki-67 evaluated at the hottest spot, not the average score across the section, independently predicted poor clinical outcomes of patients with hormone receptor-positive/HER2-negative cancer. Ki-67 was not a predictor of clinical outcome in patients with triple-negative breast cancer. Overall, high Ki-67 level significantly correlated with classic unfavorable clinicopathological factors, correlating negatively with the status of estrogen receptor (ER)-α and progesterone receptor (PR), and positively with HER2 status and grade. ER-β status positively correlated with the Ki-67 level.
CONCLUSIONS: Ki-67 evaluation at the hottest spot was superior to that determined by average score across the section as a predictor of outcome in patients with hormone receptor-positive/HER2-negative breast cancers treated with endocrine monotherapy. The different result obtained in patients with triple-negative carcinomas needs to be further investigated.

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Year:  2013        PMID: 23479208     DOI: 10.1007/s12282-013-0455-5

Source DB:  PubMed          Journal:  Breast Cancer        ISSN: 1340-6868            Impact factor:   4.239


  17 in total

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

Authors:  Reiki Nishimura; Tomofumi Osako; Yasuyuki Nishiyama; Rumiko Tashima; Masahiro Nakano; Mamiko Fujisue; Yasuo Toyozumi; Nobuyuki Arima
Journal:  Mol Clin Oncol       Date:  2014-08-22

Review 2.  Significance of evaluating tumor-infiltrating lymphocytes (TILs) and programmed cell death-ligand 1 (PD-L1) expression in breast cancer.

Authors:  Sasagu Kurozumi; Takaaki Fujii; Hiroshi Matsumoto; Kenichi Inoue; Masafumi Kurosumi; Jun Horiguchi; Hiroyuki Kuwano
Journal:  Med Mol Morphol       Date:  2017-09-21       Impact factor: 2.309

3.  Prognostic value of ki-67 in breast carcinoma: tissue microarray method versus whole section analysis- potentials and pitfalls.

Authors:  Natalija Dedić Plavetić; Jasminka Jakić-Razumović; Ana Kulić; Maja Sirotković-Skerlev; Marina Barić; Damir Vrbanec
Journal:  Pathol Oncol Res       Date:  2014-08-06       Impact factor: 3.201

4.  Support of a bi-faceted role of estrogen receptor β (ERβ) in ERα-positive breast cancer cells.

Authors:  Philip Jonsson; Anne Katchy; Cecilia Williams
Journal:  Endocr Relat Cancer       Date:  2014-01-30       Impact factor: 5.678

5.  Prognostic value of Ki67 and p53 in patients with estrogen receptor-positive and human epidermal growth factor receptor 2-negative breast cancer: Validation of the cut-off value of the Ki67 labeling index as a predictive factor.

Authors:  Masahiro Ohara; Kazuo Matsuura; Etsushi Akimoto; Midori Noma; Mihoko Doi; Takashi Nishizaka; Naoki Kagawa; Toshiyuki Itamoto
Journal:  Mol Clin Oncol       Date:  2016-02-10

6.  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

7.  Evaluation of Ki67 expression across distinct categories of breast cancer specimens: a population-based study of matched surgical specimens, core needle biopsies and tissue microarrays.

Authors:  Gøril Knutsvik; Ingunn M Stefansson; Sura Aziz; Jarle Arnes; Johan Eide; Karin Collett; Lars A Akslen
Journal:  PLoS One       Date:  2014-11-06       Impact factor: 3.240

8.  The use of automated Ki67 analysis to predict Oncotype DX risk-of-recurrence categories in early-stage breast cancer.

Authors:  Satbir Singh Thakur; Haocheng Li; Angela M Y Chan; Roxana Tudor; Gilbert Bigras; Don Morris; Emeka K Enwere; Hua Yang
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

9.  Power of PgR expression as a prognostic factor for ER-positive/HER2-negative breast cancer patients at intermediate risk classified by the Ki67 labeling index.

Authors:  Sasagu Kurozumi; Hiroshi Matsumoto; Yuji Hayashi; Katsunori Tozuka; Kenichi Inoue; Jun Horiguchi; Izumi Takeyoshi; Tetsunari Oyama; Masafumi Kurosumi
Journal:  BMC Cancer       Date:  2017-05-22       Impact factor: 4.430

10.  A comparison of Ki-67 counting methods in luminal Breast Cancer: The Average Method vs. the Hot Spot Method.

Authors:  Min Hye Jang; Hyun Jung Kim; Yul Ri Chung; Yangkyu Lee; So Yeon Park
Journal:  PLoS One       Date:  2017-02-10       Impact factor: 3.240

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