Abstract 4945: Distinct colorectal cancer tumor cell subtypes revealed by single-cell and spatial transcriptomics

Abstract Background: Colorectal cancer is highly heterogeneous, exhibiting diverse tumor characteristics. However, studies focusing on the epithelial cell compartment remain limited. Here, we aimed to comprehensively profile CRC epithelial cells, define tumor-specific subtypes, and explore their spatial distributions and prognostic implications. Method: We performed single-cell RNA sequencing of 65 primary CRC samples, along with 13 liver metastasis, 33 colon normal, and 8 liver normal controls. Epithelial cell clusters were classified using non-negative matrix factorization. After characterizing their transcriptional and developmental features, we mapped the subtypes to spatial transcriptomic data to assess spatial localization patterns within the tumor. Results: We analyzed a total of 273,711 cells including 64,911 epithelial cells. Among these epithelial cells, 14 tumor-associated epithelial clusters were identified after excluding low-quality and normal-like clusters. Of these, seven clusters consistently abundant across multiple samples were selected for further analyses: C1 (inflamed), C2 (ribosomal), C3 (epithelial-mesenchymal transition; EMT), C4 (goblet-like), C5 (MHC II), C6 (oxidative phosphorylation), and C8 (proliferating). C1 and C3 were enriched in advanced-stage tumors and associated with poor prognosis in TCGA data. Trajectory inference suggested a developmental continuum from C8 toward C1 and C3, indicating potential tumor cell evolution toward EMT and inflamed states. Spatial transcriptomic analysis using both Visium and Xenium datasets revealed distinct localization patterns: C2, C6 and C8 were concentrated in the tumor core, whereas C1 and C3 were predominantly enriched at the tumor margin. Interestingly, tumor budding regions were predominantly composed of these C3 clusters, consistent with the EMT-like characteristics of tumor buds. Notably, co-localization analysis revealed subtype-specific epithelial-immune-stromal niches, in which myofibroblastic cancer-associated fibroblasts and SPP1+ macrophages were spatially associated with C3 clusters, suggesting potential crosstalk that may promote tumor invasion and immune modulation. Conclusions: We profiled colorectal cancer epithelial cells and identified distinct tumor cell subtypes with unique transcriptional and spatial characteristics. These subtypes exhibited dynamic interactions with the surrounding tumor microenvironment, suggesting that epithelial plasticity and spatial crosstalk may collectively drive tumor progression and immune evasion. Citation Format: Ji Hye Choi, Yeong Hak Bang, Kyung Yeon Han, Woong-Yang Park. Distinct colorectal cancer tumor cell subtypes revealed by single-cell and spatial transcriptomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4945.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-4945
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 4945: Distinct colorectal cancer tumor cell subtypes revealed by single-cell and spatial transcriptomics

Woong‐Yang Park, Yeong Hak Bang, Kyung Yeon Han, Ji Hye Choi
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 4945: Distinct colorectal cancer tumor cell subtypes revealed by single-cell and spatial transcriptomics

Woong‐Yang Park, Yeong Hak Bang, Kyung Yeon Han, Ji Hye Choi
article en

Abstract

Abstract Background: Colorectal cancer is highly heterogeneous, exhibiting diverse tumor characteristics. However, studies focusing on the epithelial cell compartment remain limited. Here, we aimed to comprehensively profile CRC epithelial cells, define tumor-specific subtypes, and explore their spatial distributions and prognostic implications. Method: We performed single-cell RNA sequencing of 65 primary CRC samples, along with 13 liver metastasis, 33 colon normal, and 8 liver normal controls. Epithelial cell clusters were classified using non-negative matrix factorization. After characterizing their transcriptional and developmental features, we mapped the subtypes to spatial transcriptomic data to assess spatial localization patterns within the tumor. Results: We analyzed a total of 273,711 cells including 64,911 epithelial cells. Among these epithelial cells, 14 tumor-associated epithelial clusters were identified after excluding low-quality and normal-like clusters. Of these, seven clusters consistently abundant across multiple samples were selected for further analyses: C1 (inflamed), C2 (ribosomal), C3 (epithelial-mesenchymal transition; EMT), C4 (goblet-like), C5 (MHC II), C6 (oxidative phosphorylation), and C8 (proliferating). C1 and C3 were enriched in advanced-stage tumors and associated with poor prognosis in TCGA data. Trajectory inference suggested a developmental continuum from C8 toward C1 and C3, indicating potential tumor cell evolution toward EMT and inflamed states. Spatial transcriptomic analysis using both Visium and Xenium datasets revealed distinct localization patterns: C2, C6 and C8 were concentrated in the tumor core, whereas C1 and C3 were predominantly enriched at the tumor margin. Interestingly, tumor budding regions were predominantly composed of these C3 clusters, consistent with the EMT-like characteristics of tumor buds. Notably, co-localization analysis revealed subtype-specific epithelial-immune-stromal niches, in which myofibroblastic cancer-associated fibroblasts and SPP1+ macrophages were spatially associated with C3 clusters, suggesting potential crosstalk that may promote tumor invasion and immune modulation. Conclusions: We profiled colorectal cancer epithelial cells and identified distinct tumor cell subtypes with unique transcriptional and spatial characteristics. These subtypes exhibited dynamic interactions with the surrounding tumor microenvironment, suggesting that epithelial plasticity and spatial crosstalk may collectively drive tumor progression and immune evasion. Citation Format: Ji Hye Choi, Yeong Hak Bang, Kyung Yeon Han, Woong-Yang Park. Distinct colorectal cancer tumor cell subtypes revealed by single-cell and spatial transcriptomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4945.

Cancer ResearchVol. 86(7_Supplement)
Ulsan College (KR), ID Genomics (United States) (US), ToolGen (South Korea) (KR), Sungkyunkwan University (KR)
No poverty
Openalex Percentile: Top 29%
Single-cell and spatial transcriptomics
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