Literature DB >> 31783023

Multiplex immunofluorescence staining and image analysis assay for diffuse large B cell lymphoma.

Chung-Wein Lee1, Yan J Ren2, Mathieu Marella2, Maria Wang2, James Hartke2, Suzana S Couto2.   

Abstract

With the explosion of immuno-oncology and the approval of many immune checkpoint therapies by regulatory agencies in the last few years, understanding the tumor microenvironment (TME) in the context of patients' immune status has become essential. Among available immune profiling techniques, multiplex immunofluorescence (mIF) assays offer the unique advantage of preserving the architectural features of the tumor and revealing the spatial relationships between tumor cells and immune cells. A number of mIF and image analysis assays have been described for solid tumors but most are not sufficiently suitable in lymphoma, where the lack of clear tumor-stromal boundaries and high tumor density present significant challenges. Here we describe the development and optimization of a reliable workflow using Akoya Opal staining kits to label and analyze 6 markers per slide in diffuse large B-cell lymphoma (DLBCL) tissue sections. Five panels totaling 30 markers were developed to characterize infiltrating immune cells and relevant check-point proteins such as PD1, PD-L1, ICOS, SIRP-alpha and Lag3 on 70 DLBCL sections. Multiplexed sections were scanned using an Akoya multispectral scanner. An image analysis workflow using InForm and Matlab was developed to overcome challenges inherent to the DLBCL environment. Using the assays and workflows detailed here, we were able to quantify cell densities of subsets of infiltrating immune cells and observe their spatial patterns within the tumors. We highlight heterogeneous distribution of cytotoxic T cells across tumors with similar T cell density to underscores the importance of considering spatial context when studying the effects of immunological therapies in DLBCL.
Copyright © 2019 Celgene. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Digital pathology; Image analysis; Immunophenotyping; Lymphoma; Multiplex immunofluorescence; Multispectral imaging

Mesh:

Substances:

Year:  2019        PMID: 31783023     DOI: 10.1016/j.jim.2019.112714

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  12 in total

Review 1.  Multiplex Immunofluorescence and the Digital Image Analysis Workflow for Evaluation of the Tumor Immune Environment in Translational Research.

Authors:  Frank Rojas; Sharia Hernandez; Rossana Lazcano; Caddie Laberiano-Fernandez; Edwin Roger Parra
Journal:  Front Oncol       Date:  2022-06-27       Impact factor: 5.738

2.  Validation of an Accurate Automated Multiplex Immunofluorescence Method for Immuno-Profiling Melanoma.

Authors:  Zarwa Yaseen; Tuba N Gide; Jordan W Conway; Alison J Potter; Camelia Quek; Angela M Hong; Georgina V Long; Richard A Scolyer; James S Wilmott
Journal:  Front Mol Biosci       Date:  2022-05-19

3.  An overview of multiplexed analyses of CAR T-cell therapies: insights and potential.

Authors:  Brittany Paige DePriest; Noah Vieira; Alan Bidgoli; Sophie Paczesny
Journal:  Expert Rev Proteomics       Date:  2021-10-17       Impact factor: 4.250

Review 4.  A narrative review of digital pathology and artificial intelligence: focusing on lung cancer.

Authors:  Taro Sakamoto; Tomoi Furukawa; Kris Lami; Hoa Hoang Ngoc Pham; Wataru Uegami; Kishio Kuroda; Masataka Kawai; Hidenori Sakanashi; Lee Alex Donald Cooper; Andrey Bychkov; Junya Fukuoka
Journal:  Transl Lung Cancer Res       Date:  2020-10

5.  In Situ Characterization of Follicular Helper CD4 T Cells Using Multiplexed Imaging.

Authors:  Kalliopi Ioannidou; Daba-Rokhya Ndiaye; Alessandra Noto; Craig Fenwick; Sotirios P Fortis; Giuseppe Pantaleo; Constantinos Petrovas; Laurence de Leval
Journal:  Front Immunol       Date:  2021-02-03       Impact factor: 7.561

6.  PD-L1 Multiplex and Quantitative Image Analysis for Molecular Diagnostics.

Authors:  Fatima Abdullahi Sidi; Victoria Bingham; Stephanie G Craig; Stephen McQuaid; Jacqueline James; Matthew P Humphries; Manuel Salto-Tellez
Journal:  Cancers (Basel)       Date:  2020-12-23       Impact factor: 6.575

7.  Effect of Amniotic Membrane/Collagen-Based Scaffolds on the Chondrogenic Differentiation of Adipose-Derived Stem Cells and Cartilage Repair.

Authors:  Le Cao; Yuling Tong; Xiao Wang; Qiang Zhang; Yiying Qi; Chenhe Zhou; Xinning Yu; Yongping Wu; Xudong Miao
Journal:  Front Cell Dev Biol       Date:  2021-11-25

8.  Tumor immune cell clustering and its association with survival in African American women with ovarian cancer.

Authors:  Christopher Wilson; Alex C Soupir; Ram Thapa; Jordan Creed; Jonathan Nguyen; Carlos Moran Segura; Travis Gerke; Joellen M Schildkraut; Lauren C Peres; Brooke L Fridley
Journal:  PLoS Comput Biol       Date:  2022-03-02       Impact factor: 4.475

Review 9.  Challenges and Opportunities in the Statistical Analysis of Multiplex Immunofluorescence Data.

Authors:  Christopher M Wilson; Oscar E Ospina; Mary K Townsend; Jonathan Nguyen; Carlos Moran Segura; Joellen M Schildkraut; Shelley S Tworoger; Lauren C Peres; Brooke L Fridley
Journal:  Cancers (Basel)       Date:  2021-06-17       Impact factor: 6.575

10.  A robust multiplex immunofluorescence and digital pathology workflow for the characterisation of the tumour immune microenvironment.

Authors:  Amélie Viratham Pulsawatdi; Stephanie G Craig; Victoria Bingham; Kris McCombe; Matthew P Humphries; Seedevi Senevirathne; Susan D Richman; Phil Quirke; Leticia Campo; Enric Domingo; Timothy S Maughan; Jacqueline A James; Manuel Salto-Tellez
Journal:  Mol Oncol       Date:  2020-09-01       Impact factor: 6.603

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