Literature DB >> 33199215

Intrinsic subtype distribution should vary according to institutions.

Yoshiya Horimoto1, Masahiko Tanabe2.   

Abstract

Entities:  

Keywords:  Intrinsic subtype; Ki67 labelling index; Luminal type

Year:  2020        PMID: 33199215      PMCID: PMC7770455          DOI: 10.1016/j.breast.2020.11.004

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


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We read with interest the article by Maranta et al. [1], which described the distribution of Ki-67 values at a single institution in an effort to elucidate the cut-off value discriminating luminal A-like and B-like tumours. Despite of their impressively consistent data, this study has several concerns requiring further consideration. Firstly, it is unclear how the biopsy samples (30% of the subjects) were chosen. Ki-67 staining tends to be heterogeneous and as such, is usually assessed at a hot spot. For this reason, surgical specimens may enable a more accurate selection of an assessment field [2]. Furthermore, we previously found the Ki-67 labelling index can change dramatically during neo-adjuvant chemotherapy (NAC) [3] and recommended biopsy specimens be examined in these patients. Information pertaining to NAC is therefore crucial, but is not provided in the current study. Secondly, intrinsic subtype cannot be determined immunohistochemistry, it is only a substitute for gene profiling in practical use. Moreover, the variance in intrinsic subtype distribution between patient cohorts makes the attempt to correspond them pointless, and this approach may cause confusion and misunderstanding among clinicians. Considering the distinctive nature and background of Ki-67, an institution-specific cut-off value can rightfully exist and be established by examining patient outcomes.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Declaration of competing interest

The authors have no conflicts of interest to declare.
  3 in total

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Authors:  Takanori Himuro; Yoshiya Horimoto; Atsushi Arakawa; Masahiko Tanabe; Mitsue Saito
Journal:  Int J Surg Pathol       Date:  2015-09-09       Impact factor: 1.271

2.  Differences in Ki67 expressions between pre- and post-neoadjuvant chemotherapy specimens might predict early recurrence of breast cancer.

Authors:  Emi Tokuda; Yoshiya Horimoto; Atsushi Arakawa; Takanori Himuro; Koji Senuma; Katsuya Nakai; Mitsue Saito
Journal:  Hum Pathol       Date:  2017-02-23       Impact factor: 3.466

3.  Do YOU know the Ki-67 index of your breast cancer patients? Knowledge of your institution's Ki-67 index distribution and its robustness is essential for decision-making in early breast cancer.

Authors:  Angela Fischer Maranta; Simon Broder; Constanze Fritzsche; Michael Knauer; Beat Thürlimann; Wolfram Jochum; Thomas Ruhstaller
Journal:  Breast       Date:  2020-03-23       Impact factor: 4.380

  3 in total

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