CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Spatial analyses of immune cell infiltration in cancer : current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer
Authors
Khalid Abduljabbar
Gabriela Acosta Haab
+132 more
Balazs Acs
Sylvia Adams
Guray Akturk
Jonas S. Almeida
Isabel Alvarado-Cabrero
Farid Azmoudeh-Ardalan
Sunil Badve
Nurkhairul Bariyah Baharun
John Mark Seaverns Bartlett
Enrique R. Bellolio
Vydehi Bheemaraju
Kim R.M. Blenman
Luciana Botinelly Mendonca Fujimoto
Najat Bouchmaa
Glenn Broeckx
Octavio Burgues
Maggie Chon U. Cheang
Francesco Ciompi
Lee A.D. Cooper
An Coosemans
German Corredor
Flavio Luis Dantas Portela
Frederik Deman
Sandra Demaria
Carsten Denkert
Sarah N. Dudgeon
Mahmoud Elghazawy
Scott Ely
Claudio Fernandez-Martin
Susan Fineberg
Stephen B. Fox
William M. Gallagher
Jennifer M. Giltnane
Sacha Gnjatic
Paula I. Gonzalez-Ericsson
Anita Grigoriadis
Rajarsi R. Gupta
Niels Halama
Matthew G. Hanna
Aparna Harbhajanka
Alexandros Hardas
Steven N. Hart
Johan Hartman
Stephen Hewitt
Akira I. Hida
Hugo M. Horlings
Zaheed Husain
Evangelos Hytopoulos
Sheeba Irshad
Chowdhury Arif Jahangir
Emiel A.M. Janssen
Mohamed Kahila
Tatsuki R. Kataoka
Kosuke Kawaguchi
Durga Kharidehal
Reena Khiroya
Andrey I. Khramtsov
Umay Kiraz
Pawan Kirtani
Liudmila L. Kodach
Konstanty Korski
Zuzana Kos
Aniko Kovacs
Anne-Vibeke Laenkholm
Corinna Lang-Schwarz
Denis Larsimont
Jochen K. Lennerz
Marvin Lerousseau
Xiaoxian Li
Sherene Loi
Sibylle Loibl
Amy Ly
Anant Madabhushi
Sai K. Maley
Vidya Manur Narasimhamurthy
Douglas K. Marks
Elizabeth S. McDonald
Ravi Mehrotra
Stefan Michiels
Fayyaz ul Amir Afsar Minhas
Shachi Mittal
David A. Moore
Shamim Mushtaq
Hussain Nighat
David B. Page
Thomas Papathomas
Frederique Penault-Llorca
Rashindrie D. Perera
Christopher J. Pinard
Juan Carlos Pinto-Cardenas
Giancarlo Pruneri
Lajos Pusztai
Arman Rahman
Nasir Mahmood Rajpoot
Bernardo Leon Rapoport
Tilman T. Rau
Jorge S. Reis-Filho
Joana M. Ribeiro
David Rimm
Roberto Salgado
Anne-Vincent Salomon
Manuel Salto-Tellez
Joel Saltz
Peter Savas
Shahin Sayed
Kalliopi P. Siziopikou
Christos Sotiriou
Elisabeth Specht Stovgaard
Albrecht Stenzinger
Maher A. Sughayer
Daniel Sur
Fraser Symmans
Sunao Tanaka
Timothy Taxter
Sabine Tejpar
Jonas Teuwen
Jeppe Thagaard
E. Aubrey Thompson
Trine Tramm
William T. Tran
Jeroen Van Der Laak
Paul J. Van Diest
Sara Verbandt
Gregory E. Verghese
Giuseppe Viale
Michael Vieth
Noorul Wahab
Thomas Walter
Yannick Waumans
Hannah Y. Wen
Wentao Yang
Yinyin Yuan
Publication date
1 August 2023
Publisher
Wiley
Doi
Abstract
Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. © 2023 The Pathological Society of Great Britain and Ireland.http://www.thejournalofpathology.com/hj2024ImmunologySDG-03:Good heatlh and well-bein
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
UPSpace at the University of Pretoria
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:repository.up.ac.za:2263/9...
Last time updated on 01/08/2024