Literature DB >> 29866579

Hot Spot and Whole-Tumor Enumeration of CD8+ Tumor-Infiltrating Lymphocytes Utilizing Digital Image Analysis Is Prognostic in Triple-Negative Breast Cancer.

Patrick J McIntire1, Lina Irshaid2, Yifang Liu2, Zhengming Chen3, Faith Menken4, Eugene Nowak4, Sandra J Shin2, Paula S Ginter2.   

Abstract

BACKGROUND: CD8+ tumor-infiltrating lymphocytes (TILs) have emerged as a prognostic indicator in triple-negative breast cancer (TNBC). There is debate surrounding the prognostic value of hot spots for CD8+ TIL enumeration.
METHODS: We compared hot spot versus whole-tumor CD8+ TIL enumeration in prognosticating TNBC using immunohistochemistry on whole tissue sections and quantification by digital image analysis (Halo imaging analysis software; Indica Labs, Corrales, NM). A wide range of clinically relevant hot spot sizes was evaluated.
RESULTS: CD8+ TIL enumeration was independently statistically significant for all hot spot sizes and whole-tumor annotations for disease-free survival by multivariate analysis. A 10× objective (2.2 mm diameter) hot spot was found to correlate significantly with overall survival (P = .04), while the remaining hot spots and whole-tumor CD8+ TIL enumeration did not (P > .05). Statistical significance was not demonstrated when comparing between hot spots and whole-tumor annotations, as the groups had overlapping confidence intervals.
CONCLUSION: CD8+ TIL hot spot enumeration is equivalent to whole-tumor enumeration for prognostication in TNBC and may serve as a good alternative methodology in future studies and clinical practice.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Carcinoma; TIL

Mesh:

Year:  2018        PMID: 29866579     DOI: 10.1016/j.clbc.2018.04.019

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  7 in total

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Journal:  Histochem Cell Biol       Date:  2021-08-12       Impact factor: 4.304

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Authors:  Zixiao Lu; Siwen Xu; Wei Shao; Yi Wu; Jie Zhang; Zhi Han; Qianjin Feng; Kun Huang
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Authors:  Alvaro Ruiz-Martinez; Chang Gong; Hanwen Wang; Richard J Sové; Haoyang Mi; Holly Kimko; Aleksander S Popel
Journal:  PLoS Comput Biol       Date:  2022-07-22       Impact factor: 4.779

  7 in total

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