Single-cell transcriptomic and immune microenvironment analyses reveal a TIMP1-associated OLFM4⁺ tumor epithelial program linked to colorectal cancer progression and immune evasion.
Oct 2026· Translational Oncology· Vol 74, pp.
103066
· 0 citations· 89 references
Medicine
TL;DR
C3 OLFM4⁺ cells represent a stem-like, metabolically active tumor epithelial state associated with CRC progression, fibroblast-derived WNT signaling, immune-evasion-related features, and unfavorable prognosis.
Abstract
Background
Colorectal cancer (CRC) is characterized by marked epithelial heterogeneity and dynamic tumor-microenvironment interactions. However, epithelial states associated with progression across the normal-adenoma-carcinoma sequence remain incompletely defined.
Methods
Single-cell RNA sequencing data from normal colorectal mucosa, adenoma, and tumor tissues were analyzed using inferCNV, Monocle, Slingshot, CytoTRACE, CellChat, and SCENIC. An OLFM4⁺ tumor cell risk score (OTRS) was constructed using Cox and LASSO regression, and TIMP1 function was evaluated in vitro.
Results
Eight major cell types and nine tumor epithelial subtypes were identified. C3 OLFM4⁺ cells showed elevated transcriptional activity, stemness, metabolic activity, and greater representation in carcinoma than adenoma tissues. Trajectory analyses positioned these cells in an early-to-intermediate transitional state. CellChat predicted prominent fibroblast-C3 OLFM4⁺ interactions, including a putative WNT2B-FZD/LRP axis, while SCENIC identified XBP1, NFIA, PPARG, HDAC2, and UBE2K as subtype-associated regulators. The C3 OLFM4⁺-derived OTRS stratified prognosis; high OTRS was associated with poorer survival, macrophage-enriched infiltration, higher stromal, immune, and TIDE scores, and differential predicted drug sensitivity. TIMP1 knockdown suppressed malignant behaviors in CRC cells.
Conclusion
C3 OLFM4⁺ cells represent a stem-like, metabolically active tumor epithelial state associated with CRC progression, fibroblast-derived WNT signaling, immune-evasion-related features, and unfavorable prognosis. The OTRS model may support prognostic and therapeutic assessment, while TIMP1 contributes to malignant CRC cell behavior.
BACKGROUND
Cancer stem-like cells drive tumor progression and therapeutic resistance, yet the epithelial stemness hierarchy in bladder cancer (BLCA) remains poorly defined. We aimed to characterize stemness-associated epithelial populations and their clinical significance.
METHODS
We analyzed single-cell RNA sequenci...
Ying-Jian Wang, Song-Xin Zhang, Xi Luo et al.· Translational Oncology· 0 citations
This study uncovered previously unrecognized immunosuppressive cell populations and key immune regulators that advance understanding of CRC immune evasion and highlight potential targets for personalized immunotherapy.
Dominika Miroszewska, Shi-Yang Song, Víctor Urbiola-Salvador et al.· British Journal of Cancer· 0 citations
Introduction Colorectal cancer (CRC) comprises heterogeneous malignant epithelial states, but it remains unclear which transcriptional programs recur across patients and how these programs relate to the immune context. Methods We integrated five public single-cell RNA-sequencing datasets comprising 425,402 cells from 1...
Wei-Xue Ying, Yu-Han Zhang, Shi-Rong Wu et al.· Frontiers in Immunology· 0 citations
A high-resolution single-cell transcriptomic atlas of the ESCC tumor microenvironment is constructed via single-cell RNA sequencing of 15 tissue specimens derived from 8 ESCC patients, revealing Fibro_myo_C1 as a prominent fibroblast subset associated with ESCC progression that orchestrates stromal crosstalk to drive m...
Xiao-Wei Chen, Yuan-Yuan Lei, Da-Zhi Pang et al.· Cancer Letters· 0 citations
Single-cell transcriptomics of publicly available BLCA data identifies two transcriptionally distinct fibroblast states in adjacent tissue and supports an exploratory ligand–receptor interaction framework, warranting prospective validation with primary CAF populations and adequately powered multi-specimen cohorts.
Yan-Dong He, Wen-Long Lu, Guan-Qun Ju et al.· Frontiers in Cell and Develo...· 0 citations