| Title: |
Computational pathology applied to clinical colorectal cancer cohorts identifies immune and endothelial cell spatial patterns predictive of outcome. |
| Authors: |
Trahearn, N; Sakr, C; Banerjee, A; Lee, SH; Baker, A-M; Kocher, HM; Angerilli, V; Morano, F; Bergamo, F; Maddalena, G; Intini, R; Cremolini, C; Caravagna, G; Graham, T; Pietrantonio, F; Lonardi, S; Fassan, M; Sottoriva, A |
| Contributors: |
Baker, Ann-Marie Clare; Graham, Trevor; Sottoriva, Andrea |
| Publisher Information: |
WILEY |
| Publication Year: |
2025 |
| Collection: |
The Institute of Cancer Research (ICR): Publications Repository |
| Subject Terms: |
computational pathology; artificial intelligence; colorectal cancer; endothelial; lymphocyte; macrophage; Humans; Colorectal Neoplasms; Tumor Microenvironment; Microsatellite Instability; Endothelial Cells; Biomarkers; Tumor; Female; Male; Aged; Proto-Oncogene Proteins B-raf; Middle Aged; Lymphocytes; Tumor-Infiltrating; Computational Biology; Mutation; Treatment Outcome |
| Subject Geographic: |
England |
| Description: |
Colorectal cancer (CRC) is a histologically heterogeneous disease with variable clinical outcome. The role the tumour microenvironment (TME) plays in determining tumour progression is complex and not fully understood. To improve our understanding, it is critical that the TME is studied systematically within clinically annotated patient cohorts with long-term follow-up. Here we studied the TME in three clinical cohorts of metastatic CRC with diverse molecular subtype and treatment history. The MISSONI cohort included cases with microsatellite instability that received immunotherapy (n = 59, 24 months median follow-up). The BRAF cohort included BRAF V600E mutant microsatellite stable (MSS) cancers (n = 141, 24 months median follow-up). The VALENTINO cohort included RAS/RAF WT MSS cases who received chemotherapy and anti-EGFR therapy (n = 175, 32 months median follow-up). Using a Deep learning cell classifier, trained upon >38,000 pathologist annotations, to detect eight cell types within H&E-stained sections of CRC, we quantified the spatial tissue organisation and colocalisation of cell types across these cohorts. We found that the ratio of infiltrating endothelial cells to cancer cells, a possible marker of vascular invasion, was an independent predictor of progression-free survival (PFS) in the BRAF+MISSONI cohort (p = 0.033, HR = 1.44, CI = 1.029-2.01). In the VALENTINO cohort, this pattern was also an independent PFS predictor in TP53 mutant patients (p = 0.009, HR = 0.59, CI = 0.40-0.88). Tumour-infiltrating lymphocytes were an independent predictor of PFS in BRAF+MISSONI (p = 0.016, HR = 0.36, CI = 0.153-0.83). Elevated tumour-infiltrating macrophages were predictive of improved PFS in the MISSONI cohort (p = 0.031). We validated our cell classification using highly multiplexed immunofluorescence for 17 markers applied to the same sections that were analysed by the classifier (n = 26 cases). These findings uncovered important microenvironmental factors that underpin treatment response across and ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
Print; 210; application/pdf |
| Language: |
English |
| ISSN: |
1096-9896; 0022-3417 |
| Relation: |
Journal of Pathology, 2025, 265 (2), pp. 198 - 210; https://repository.icr.ac.uk/handle/internal/6627 |
| DOI: |
10.1002/path.6378 |
| Availability: |
https://doi.org/10.1002/path.6378; https://repository.icr.ac.uk/handle/internal/6627 |
| Rights: |
http://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.C5ACF3CD |
| Database: |
BASE |