Document Type

Article

Publication Date

2024

Identifier

DOI: 10.1142/9789811286421_0051

Abstract

Immune modulation is considered a hallmark of cancer initiation and progression, with immune cell density being consistently associated with clinical outcomes of individuals with cancer. Multiplex immunofluorescence (mIF) microscopy combined with automated image analysis is a novel and increasingly used technique that allows for the assessment and visualization of the tumor microenvironment (TME). Recently, application of this new technology to tissue microarrays (TMAs) or whole tissue sections from large cancer studies has been used to characterize different cell populations in the TME with enhanced reproducibility and accuracy. Generally, mIF data has been used to examine the presence and abundance of immune cells in the tumor and stroma compartments; however, this aggregate measure assumes uniform patterns of immune cells throughout the TME and overlooks spatial heterogeneity. Recently, the spatial contexture of the TME has been explored with a variety of statistical methods. In this PSB workshop, speakers will present some of the state-of-the-art statistical methods for assessing the TIME from mIF data.

Journal Title

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

Volume

29

First Page

654

Last Page

660

MeSH Keywords

Humans; Reproducibility of Results; Computational Biology; Neoplasms; Tumor Microenvironment

Keywords

spatial biology, multiplex immunofluorescence, single-cell protein, tumor microenvironment, biostatistical analysis, spatial analysis

Comments

Open Access chapter published by World Scientific Publishing Company and distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC) 4.0 License.

Publisher's Link: https://www.worldscientific.com/doi/10.1142/9789811286421_0051

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