Literature DB >> 31630876

Invasive lobular carcinoma of the breast: assessment of proliferative activity using automated Ki-67 immunostaining.

Benjamin Dessauvagie1, Anitha Thomas2, Carla Thomas3, Cleo Robinson3, Marais Combrink3, Vanitha Budhavaram4, Bindu Kunjuraman4, Katie Meehan5, Greg Sterrett6, Jennet Harvey6.   

Abstract

Invasive lobular carcinoma (ILC) is almost always classified as Nottingham histological grade 2. Despite this, prognosis is markedly varied, with some ILCs behaving more akin to grade 3 invasive ductal carcinoma (IDC). Methods to separate these aggressive ILCs are needed. Digital image analysis (DIA) of the Ki-67 biomarker has potential in this regard; thus, we sought to determine the feasibility of its use for automated evaluation of ILC. An initial pilot study demonstrated no ILC specific changes were required to our Ki-67 DIA algorithm for reproducible results. Subsequently, 42 consecutive cases of ILC were evaluated by visual mitosis counting in H&E stained sections and by DIA on Ki-67 stained sections. Ki-67 proliferative index (PI) DIA showed significant correlation with visual mitosis counting on H&E stained sections (rs=0.63; p<0.05), significant strong correlation (rs=0.78; p<0.05) and substantial agreement (κ=0.62) with manual/visual Ki-67 assessment and significant positive associations with grade, nodal status and 'pleomorphic' ILC subtype, and a wide stratification of values in classical/grade 2 ILC. In conclusion, DIA of Ki-67 PI in ILC is feasible, correlates with mitotic index, manual/visual Ki-67 PI and clinico-pathological variables. The broad stratification of Ki-67 PI in classical/grade 2 ILC supports its practicability as a biomarker with prognostic and predictive potential, although large studies with outcome data are required for validation. Crown
Copyright © 2019. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast neoplasms; cell proliferation; computer assisted diagnosis; image processing

Mesh:

Substances:

Year:  2019        PMID: 31630876     DOI: 10.1016/j.pathol.2019.08.004

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  2 in total

1.  E-Cadherin-Deficient Cells Are Sensitive to the Multikinase Inhibitor Dasatinib.

Authors:  Nicola Bougen-Zhukov; Lyvianne Decourtye-Espiard; Wilson Mitchell; Kieran Redpath; Jacqui Perkinson; Tanis Godwin; Michael A Black; Parry Guilford
Journal:  Cancers (Basel)       Date:  2022-03-22       Impact factor: 6.639

2.  Development and validation of an extended Cox prognostic model for patients with ER/PR+ and HER2- breast cancer: a retrospective cohort study.

Authors:  Yiqun Xie; Xizhou Li; Ying Wu; Wenting Cui; Yang Liu
Journal:  World J Surg Oncol       Date:  2022-10-12       Impact factor: 3.253

  2 in total

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