A FOXF1/FOXF2-associated CAF-like transitional fibroblast state is defined and links it to stromal signaling, immune–stromal communication, and cancer-type-specific clinical relevance.
Abstract
Fibroblast heterogeneity shapes tumor progression, yet the transitional states linking normal-associated fibroblasts to cancer-associated fibroblasts (CAFs) remain poorly defined. Here, we integrated single-cell transcriptomic profiles of more than 90,000 stromal cells from 281 samples across nine cancer types to construct a pan-cancer atlas of fibroblast diversity. We identified a distinct CAF-like population positioned between normal-activated fibroblasts and established CAF subsets along the inferred fibroblast activation trajectory. Integration with single-nucleus chromatin accessibility data nominated FOXF1 and FOXF2 as candidate regulators of this CAF-like state. Functionally, CAF-like fibroblasts were characterized by non-canonical WNT activity, WNT5A-associated stromal communication, and a candidate GZMA–F2R/PAR immune–stromal signaling axis supported by spatial transcriptomics. Clinically, the CAF-like signature showed context-dependent prognostic relevance, with high expression associated with poorer survival in the tumor compartment of TCGA stomach adenocarcinoma. Together, this study defines a FOXF1/FOXF2-associated CAF-like transitional fibroblast state and links it to stromal signaling, immune–stromal communication, and cancer-type-specific clinical relevance.
The data support a progression-linked association among tumor-cell-enriched MDK, CAF state remodeling, an ECM-high Fib-WNT5A program, and predicted collagen-mediated immune interactions in CRC.
CAV1 is identified as a fibroblast-associated gene linked to stemness- and ferroptosis-related signatures and promoting bladder cancer progression by activating the LIF-STAT3 signaling axis.
It is shown that aCAFs, whose expression has been associated with poor prognosis, tend to localize at tumor boundaries, where proximity to tumor cells predicts increased expression of aCAF-associated genes.
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These findings define the cellular organization and molecular programs that shape the cSCC microenvironment and provide insights into the coordinated immune, stromal, and epithelial interactions involved in cSCC progression.
Yong He, Ting Tian, Liming Li et al.· Frontiers in Immunology· 0 citations
These findings define functionally distinct and pharmacologically targetable CAF programs in HNSCC and support stromal-directed interventions as a rational component of future combination treatment strategies.
Llara Prieto-Fernández, A. Martínez-Carrillo, L. de Villalaín et al.· bioRxiv· 0 citations
Integrative single-cell RNA sequencing analysis of publicly available datasets from non-small cell lung cancer and breast cancer is performed to systematically map transcriptional heterogeneity and regulatory networks within the TME, providing a systems-level framework of TME organization.
M. O. Odubote, Chiemeka Elochi Emeribe· bioRxiv· 0 citations
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