1
Return

Tumour cell density quantified by artificial intelligence is associated with differential benefit from irinotecan-based chemo-radiotherapy in locally advanced rectal cancer: a post-hoc study of the phase 3 ARISTOTLE trial

delete2026-07-27
delete0
delete
OA
AI
Z
Zhuoyan Shen *
D
Douglas Brand
M
Mikaël Simard
N
Nicholas P. West
A
André Lopes
R
Rubina Begum
Y
Yu Zhang
G
Gary Royle
D
D. Sebag-Montefiore
C
Charles‐Antoine Collins‐Fekete
M
M. Hawkins
DOI:10.1016/j.ebiom.2026.106397delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Tumour cells and tumour-associated stroma are key components of the tumour microenvironment, and their interaction impacts disease progression and treatment resistance in rectal cancer. This study introduces a computational approach to quantify tumour cell density (TCD) within epithelial and stromal regions and assess whether treatment response differs according to TCD status in patients with locally advanced rectal cancer (LARC) undergoing neoadjuvant chemoradiotherapy (nCRT).
Keywords:
Locally advanced rectal cancer
Tumour cell density
Chemoradiotherapy
Artificial intelligence
Digital pathology
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

EBioMedicine cover
EBioMedicine
IF:
10.8
Papers:
6.4K
Citations:
3.2W

Organization

C
Cancer Research UK and UCL Cancer Trials Centre
Scholars:
12
Papers: 6
Citations: 0
U
university college london
Scholars:
7.3K
Papers: 4.0K
Citations: 1
U
University College London Hospitals NHS Foundation Trust
Scholars:
7.1K
Papers: 4.9K
Citations: 3.2K
U
university of leeds
Scholars:
3.5W
Papers: 3.3W
Citations: 45
Cited Papers

Cited Papers

Citing Papers

Citing Papers