ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2017
Morphological characterization of colorectal cancers in The Cancer Genome Atlas reveals distinct morphology-molecular associations: clinical and biological implications.
Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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63 citing papers in PubMed, 110 citations in OpenAlex.
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- Mutation enrichment in targeted panels flags immunotherapy-responsive POLE-driven hypermutated microsatellite-stable colorectal cancers.NPJ precision oncology · 2026Article
- Uncovering Hidden Prognostic Patterns in Colorectal Cancer Histology Using Unsupervised Learning: A Computational Pathology Study.Bioengineering (Basel, Switzerland) · 2026Article
- Random features meet MIL: a deep GP approach to colorectal MSI prediction.NPJ digital medicine · 2025Article
- Molecular Basis, Diagnostic Approaches, and Therapeutic Strategies in Colorectal Cancer-Comprehensive Review.International journal of molecular sciences · 2025Review
- An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.The Lancet. Digital health · 2025Article
- Counterfactual Diffusion Models for Interpretable Morphology-based Explanations of Artificial Intelligence Models in Pathology.bioRxiv : the preprint server for biology · 2025Article
- A quantitative tumor-wide analysis of morphological heterogeneity of colorectal adenocarcinoma.The journal of pathology. Clinical research · 2025Article
- Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer.Nature communications · 2025Article
- Clinicopathological and molecular features of genome-stable colorectal cancers.Histology and histopathology · 2025Article
- Multiomics Reveals the Immunologic Features and the Immune Checkpoint Blockade Potential of Colorectal Medullary Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- A histopathology-based artificial intelligence system assisting the screening of genetic alteration in intrahepatic cholangiocarcinoma.British journal of cancer · 2025Article
- Multi-cancer analysis of histopathologic MSI screening based on digital histology image.PloS one · 2025Article
- Clinicopathological and immune characterization of mismatch repair deficient endocervical adenocarcinoma.The oncologist · 2024Article
- Artificial Intelligence Models for the Detection of Microsatellite Instability from Whole-Slide Imaging of Colorectal Cancer.Diagnostics (Basel, Switzerland) · 2024Review
- SMAD4 depletion contributes to endocrine resistance by integrating ER and ERBB signaling in HR + HER2- breast cancer.Cell death & disease · 2024Article
- Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology.NPJ precision oncology · 2024Article
- Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer.Fundamental research · 2024Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors at 2 institutions in 1 country.
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Abstract
The Cancer Genome Atlas data on colorectal carcinoma have provided a comprehensive view of the tumor's genomic alterations and their tumorigenic roles. Tumor morphology, however, has not been fully integrated into the analysis. The aim of this study was to explore relevant associations between tumor morphology and the newly characterized genomic alterations in colorectal carcinoma. Two hundred and seven colorectal carcinomas that had undergone whole-exome sequencing as part of The Cancer Genome Atlas project and had adequate virtual images in the cBioPortal for Cancer Genomics constituted our study population. Upon analysis, a tight association between 'microsatellite instability-high histology' and microsatellite instability-high (P<0.001) was readily detected and helped validate our image-based histology evaluation. Further, we showed, (1) among all histologies, the not otherwise specified type had the lowest overall mutation count (P<0.001 for entire cohort, P<0.03 for the microsatellite-instable group), and among the microsatellite-instable tumors, this type also correlated with fewer frameshift mutations in coding mononucleotide repeats of a defined set of relevant genes (P<0.01); (2) cytosine phosphate guanine island methylator phenotype-high colorectal cancers with or without microsatellite instability tended to have different histological patterns: the former more often mucinous and the latter more often not otherwise specified; (3) mucinous histology was associated with more frequent alterations in BRAF, PIK3CA, and the transforming growth factor-β pathway when compared with non-mucinous histologies (P<0.001, P=0.01, and P<0.001, respectively); and (4) few colorectal cancers (<9%) exhibited upregulation of immune-inhibitory genes including major immune checkpoints; these tumors were primarily microsatellite-instable (up to 43%, vs <3% in microsatellite-stable group) and had distinctly non-mucinous histologies with a solid growth. These morphology-molecular associations are interesting and propose important clinical implications. The morphological patterns associated with alterations of immune checkpoint genes bear the potential to guide patient selection for clinical trials that target immune checkpoints in colorectal cancer, and provide directions for future studies.
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