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Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research

Ly, Amy ; Garcia, Victor ; Blenman, Kim R M ; Ehinger, Anna LU orcid ; Elfer, Katherine ; Hanna, Matthew G ; Li, Xiaoxian ; Peeters, Dieter J E ; Birmingham, Ryan and Dudgeon, Sarah , et al. (2024) In Histopathology 84(6). p.915-923
Abstract

A growing body of research supports stromal tumour-infiltrating lymphocyte (TIL) density in breast cancer to be a robust prognostic and predicive biomarker. The gold standard for stromal TIL density quantitation in breast cancer is pathologist visual assessment using haematoxylin and eosin-stained slides. Artificial intelligence/machine-learning algorithms are in development to automate the stromal TIL scoring process, and must be validated against a reference standard such as pathologist visual assessment. Visual TIL assessment may suffer from significant interobserver variability. To improve interobserver agreement, regulatory science experts at the US Food and Drug Administration partnered with academic pathologists internationally... (More)

A growing body of research supports stromal tumour-infiltrating lymphocyte (TIL) density in breast cancer to be a robust prognostic and predicive biomarker. The gold standard for stromal TIL density quantitation in breast cancer is pathologist visual assessment using haematoxylin and eosin-stained slides. Artificial intelligence/machine-learning algorithms are in development to automate the stromal TIL scoring process, and must be validated against a reference standard such as pathologist visual assessment. Visual TIL assessment may suffer from significant interobserver variability. To improve interobserver agreement, regulatory science experts at the US Food and Drug Administration partnered with academic pathologists internationally to create a freely available online continuing medical education (CME) course to train pathologists in assessing breast cancer stromal TILs using an interactive format with expert commentary. Here we describe and provide a user guide to this CME course, whose content was designed to improve pathologist accuracy in scoring breast cancer TILs. We also suggest subsequent steps to translate knowledge into clinical practice with proficiency testing.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Histopathology
volume
84
issue
6
pages
915 - 923
publisher
Wiley-Blackwell
external identifiers
  • scopus:85186910145
  • pmid:38433289
ISSN
0309-0167
DOI
10.1111/his.15140
language
English
LU publication?
yes
id
c5de05d4-a29a-460d-8856-502203118928
date added to LUP
2024-03-04 21:50:57
date last changed
2025-05-16 22:27:20
@article{c5de05d4-a29a-460d-8856-502203118928,
  abstract     = {{<p>A growing body of research supports stromal tumour-infiltrating lymphocyte (TIL) density in breast cancer to be a robust prognostic and predicive biomarker. The gold standard for stromal TIL density quantitation in breast cancer is pathologist visual assessment using haematoxylin and eosin-stained slides. Artificial intelligence/machine-learning algorithms are in development to automate the stromal TIL scoring process, and must be validated against a reference standard such as pathologist visual assessment. Visual TIL assessment may suffer from significant interobserver variability. To improve interobserver agreement, regulatory science experts at the US Food and Drug Administration partnered with academic pathologists internationally to create a freely available online continuing medical education (CME) course to train pathologists in assessing breast cancer stromal TILs using an interactive format with expert commentary. Here we describe and provide a user guide to this CME course, whose content was designed to improve pathologist accuracy in scoring breast cancer TILs. We also suggest subsequent steps to translate knowledge into clinical practice with proficiency testing.</p>}},
  author       = {{Ly, Amy and Garcia, Victor and Blenman, Kim R M and Ehinger, Anna and Elfer, Katherine and Hanna, Matthew G and Li, Xiaoxian and Peeters, Dieter J E and Birmingham, Ryan and Dudgeon, Sarah and Gardecki, Emma and Gupta, Rajarsi and Lennerz, Jochen and Pan, Tony and Saltz, Joel and Wharton, Keith A and Ehinger, Daniel and Acs, Balazs and Dequeker, Elisabeth M C and Salgado, Roberto and Gallas, Brandon D}},
  issn         = {{0309-0167}},
  language     = {{eng}},
  month        = {{03}},
  number       = {{6}},
  pages        = {{915--923}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Histopathology}},
  title        = {{Training pathologists to assess stromal tumour-infiltrating lymphocytes in breast cancer synergises efforts in clinical care and scientific research}},
  url          = {{http://dx.doi.org/10.1111/his.15140}},
  doi          = {{10.1111/his.15140}},
  volume       = {{84}},
  year         = {{2024}},
}