A quantitative tumor-wide analysis of morphological heterogeneity of colorectal adenocarcinoma
Mihnea Paul DragomiriD, Vlad Calin PopoviciiD, Simon SchallenbergiD, Martina ČarnogurskáiD, David A. HorstiD, Rudolf NenutiliD, Fred T. BosmaniD, Eva BudínskáiD
Abstract
Morphologic heterogeneity of colorectal adenocarcinoma (CRC) is poorly understood. Previously, we identified morphological patterns associated with CRC molecular subtypes, and showed that these patterns have distinct molecular motifs (Budinska et al., 2023). Here, we evaluated the heterogeneity of these patterns across CRC. Three pathologists evaluated dominant, secondary, and tertiary morphology on four different tissue blocks per tumor in a pilot set of 22 CRCs (n=88). An artificial intelligence (AI) image analysis tool was trained using the pathologist-rated tumors to assess the morphologic heterogeneity on an expanded set of 161 CRCs (644 images). Heterogeneity was expressed as a combination of morphology patterns (morphotypes) across slides and normalized Shannons index (NSI). All pathologists agreed that the majority of tumors had 2-3 different dominant morphotypes, and that the complex tubular (CT) morphotype was the most common. AI analysis confirmed these observations in the full set. CT morphotype combined with all other dominant morphotypes within a tumor. Desmoplastic (DE) morphotype was rarely dominant and rarely combined with other dominant morphotypes. Mucinous (MU) was most often combined with solid/trabecular (TB) and papillary (PP). Most tumors showed medium or high NSI, but without clinical consequence. The proportion of DE morphotype was associated with higher T-stage, N-stage, metastasis, AJCC-stage, and shorter relapse-free survival, and MU morphotype was associated with higher grade, right side, microsatellite instability, and shorter overall survival. In conclusion, we observed high intratumoral morphological heterogeneity of CRC, and that not heterogeneity per se, but the proportion of certain morphotypes showed associations with clinical outcome. This has implications for molecular profiling of CRC.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 4
- FWCI
- 1.57
- Field percentile
- top 18%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Molecular portraits of colorectal cancer morphological regions
E. Budinska, M. Hrivnakova, … V. Popovici·bioRxiv·Jan 24, 2023
- Comprehensive characterization of tumor microenvironment in colorectal cancer via histopathology-molecular analysis
- Consensus molecular subtyping of colorectal cancers is influenced by goblet cell content
Samuel A. Miller, Ahmed H. Ghobashi, Heather M. O’Hagan·Cancer GeneticsPeer-reviewed·Jan 26, 2021
- Image-based consensus molecular subtype classification (imCMS) of colorectal cancer using deep learning
K. Sirinukunwattana, E. Domingo, … V. Koelzer·GutPeer-reviewed·Jul 20, 2020
- Metastasis and cancer stem cell markers identify two colorectal cancer subtypes with different molecular and clinical features
Burair A. Alsaihati, Shaying Zhao·bioRxiv·Dec 21, 2020
- Colorectal cancer heterogeneity co-evolves with tumor architecture to determine disease outcome
Fabien Bertillot, Solène Hervé, … Yekaterina A. Miroshnikova·bioRxiv·Aug 11, 2025