Transcriptomics and proteomics reveal distinct biology for lymph node metastases and tumour deposits in colorectal cancer

Author:

Brouwer Nelleke PM1ORCID,Webbink Loth1ORCID,Haddad Tariq S1ORCID,Rutgers Natasja1,van Vliet Shannon1,Wood Colin S23,Jansen Pascal WTC4,Lafarge Maxime W5,de Wilt Johannes HW6,Hugen Niek7,Simmer Femke1,Jamieson Nigel B23,Tauriello Daniele VF8,Kölzer Viktor H5,Vermeulen Michiel49,Nagtegaal Iris D1,

Affiliation:

1. Department of Pathology Radboud University Medical Centre Nijmegen The Netherlands

2. Wolfson Wohl Cancer Research Centre, School of Cancer Sciences University of Glasgow UK

3. Academic Unit of Surgery, Glasgow Royal Infirmary University of Glasgow UK

4. Department of Molecular Biology, Faculty of Science, Radboud Institute for Molecular Life Sciences, Oncode Institute Radboud University Nijmegen The Netherlands

5. Department of Pathology and Molecular Pathology University and University Hospital of Zürich Zürich Switzerland

6. Department of Surgery Radboud University Medical Centre Nijmegen The Netherlands

7. Department of Surgery Netherlands Cancer Institute Amsterdam The Netherlands

8. Department of Medical Biosciences, Research Institute for Medical Innovation Radboud University Medical Centre Nijmegen The Netherlands

9. The Netherlands Cancer Institute Amsterdam The Netherlands

Abstract

AbstractBoth lymph node metastases (LNMs) and tumour deposits (TDs) are included in colorectal cancer (CRC) staging, although knowledge regarding their biological background is lacking. This study aimed to compare the biology of these prognostic features, which is essential for a better understanding of their role in CRC spread. Spatially resolved transcriptomic analysis using digital spatial profiling was performed on TDs and LNMs from 10 CRC patients using 1,388 RNA targets, for the tumour cells and tumour microenvironment. Shotgun proteomics identified 5,578 proteins in 12 different patients. Differences in RNA and protein expression were analysed, and spatial deconvolution was performed. Image‐based consensus molecular subtype (imCMS) analysis was performed on all TDs and LNMs included in the study. Transcriptome and proteome profiles identified distinct clusters for TDs and LNMs in both the tumour and tumour microenvironment segment, with upregulation of matrix remodelling, cell adhesion/motility, and epithelial–mesenchymal transition (EMT) in TDs (all p < 0.05). Spatial deconvolution showed a significantly increased abundance of fibroblasts, macrophages, and regulatory T‐cells (p < 0.05) in TDs. Consistent with a higher fibroblast and EMT component, imCMS classified 62% of TDs as poor prognosis subtype CMS4 compared to 36% of LNMs (p < 0.05). Compared to LNMs, TDs have a more invasive state involving a distinct tumour microenvironment and upregulation of EMT, which are reflected in a more frequent histological classification of TDs as CMS4. These results emphasise the heterogeneity of locoregional spread and the fact that TDs should merit more attention both in future research and during staging. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Funder

University of Bern

KWF Kankerbestrijding

Publisher

Wiley

Subject

Pathology and Forensic Medicine

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