ReviewCancer cell2026
Molecular phenotypes and spatial archetypes: A new framework for cancer-associated fibroblasts.
Review in Cancer cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Mechanobiology of Matricellular Proteins in Bladder Cancer: A Narrative Review and Bioinformatics Analysis.Biomolecules · 2026Review
- Spatial Topology Reveals Biologically Distinct Recurrent Motifs in Colorectal Cancer.bioRxiv : the preprint server for biology · 2026Article
- Mechanisms and therapeutic strategies of bidirectional crosstalk between hepatic stellate cell-derived cancer-associated fibroblasts and T cells in immune evasion and therapeutic resistance of hepatocellular carcinoma.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
Cancer-associated fibroblasts (CAFs) form a dynamic ecosystem that critically influences tumor progression and therapeutic response. Although recent advances in single-cell and spatial omics have uncovered profound stromal diversity, interpreting the mechanistic relevance of this complexity remains a challenge. Here, we propose a more unifying conceptual framework to bridge high-dimensional data with experimental biology. By categorizing CAFs into conserved molecular phenotypes and distinct spatial archetypes, this model illustrates how CAF identities are intimately linked to local tissue contexts. This refined framework brings the complexity of the tumor stroma into greater focus, underscoring the necessary transition from broad stromal targeting toward precision, context-specific modulation. Ultimately, we hope this integrated effort will aid in the collaborative development of next-generation therapies that selectively target pathogenic stroma in cancer to improve patient outcomes.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.