Literature DB >> 26353854

Ki67 Heterogeneity in Estrogen Receptor-Positive Breast Cancers: Which Tumor Type Has the Most Heterogeneity?

Takanori Himuro1, Yoshiya Horimoto2, Atsushi Arakawa3, Masahiko Tanabe1, Mitsue Saito1.   

Abstract

Heterogeneity of Ki67 expression, often seen in breast cancer, can make evaluation of the expression of this marker difficult and give rise to confusion when considering adjuvant treatments for patients. Herein, we investigated estrogen receptor-positive breast cancers to reveal the tumor characteristics associated with Ki67 heterogeneity. Surgical specimens from 85 invasive ductal carcinomas of no special type and 13 invasive lobular carcinomas were examined. We first calculated the differences between Ki67 expression in a hot spot and those in 4 random fields on the same slide. We then evaluated Ki67 heterogeneity within the tumor, based on these differences. Among clinicopathological factors, solid-tubular carcinoma, an architectural growth pattern subtype of invasive ductal carcinoma, correlated with high Ki67 heterogeneity (P < .05). Our results indicate that we might need to be aware of histological patterns when selecting appropriate microscopic fields for evaluating Ki67 expression.
© The Author(s) 2015.

Entities:  

Keywords:  Ki67; breast cancer; heterogeneity; luminal type

Mesh:

Substances:

Year:  2015        PMID: 26353854     DOI: 10.1177/1066896915605179

Source DB:  PubMed          Journal:  Int J Surg Pathol        ISSN: 1066-8969            Impact factor:   1.271


  3 in total

Review 1.  Neoadjuvant Trials in ER+ Breast Cancer: A Tool for Acceleration of Drug Development and Discovery.

Authors:  Angel L Guerrero-Zotano; Carlos L Arteaga
Journal:  Cancer Discov       Date:  2017-05-11       Impact factor: 39.397

2.  SRPX2 Promotes Cell Proliferation and Invasion in Osteosarcoma Through Regulating Hippo Signaling Pathway.

Authors:  Zhiqiang Wu; Chunmeng Wang; Yong Chen; Zhengwang Sun; Wangjun Yan
Journal:  Onco Targets Ther       Date:  2020-02-26       Impact factor: 4.147

3.  Intrinsic subtype distribution should vary according to institutions.

Authors:  Yoshiya Horimoto; Masahiko Tanabe
Journal:  Breast       Date:  2020-11-10       Impact factor: 4.380

  3 in total

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