Back

Stromal Prostaglandin is a Dominant Spatial Regulator of Cell-fate Plasticity in Colorectal Cancer

Molyneux, C.; OSullivan, R.; Mulholland-Illingworth, E. J.; Moore, J. W.; Li, N.; Vlckova, P.; Amirkhah, R.; Dobric, A.; Crampsie, S.; Wilkinson, A.; Langley, J.; Alonso, M. L.; Campbell, A.; Claus, J.; Krishnaswamy, S.; Dunne, P. D.; Leedham, S.; Tape, C. J.

2026-07-08 cancer biology
10.64898/2026.06.14.732116 bioRxiv
Show abstract

Colorectal cancer (CRC) tumours with high stromal content have a worse outcome, but the mechanisms governing this are unclear. Using high-throughput single-cell perturbation analysis of CRC patient-derived organoids (PDOs) and cancer-associated fibroblasts (CAFs) we find that epithelial cells with high stromal-communication potential are marked by the transcriptional co-repressor DACH1. To define the causal regulators of stromal-epithelial signalling, we developed a novel CRISPR screening platform to perturb the CAF secretome and measure epithelial stem cell responses at single-cell resolution. Intercellular CRISPR screening and full factorial ligand analysis revealed that stromal Prostaglandin E2 (PGE2) is a dominant regulator of CRC cell-fate plasticity. Stromal PGE2 converts DACH1+ epithelia from a chemosensitive proliferative colonic stem cell (proCSC) fate into a chemorefractory and prometastatic revival colonic stem cell (revCSC) fate. PGE2-driven epithelial transdetermination is rapid and reversible, providing an acute mechanism for stromal-driven plasticity in CRC tumours. Genetic and pharmacological inhibition of stromal COX2 inhibits epithelial plasticity, trapping CRC epithelia in an anti-metastatic and chemosensitive proCSC fate. PTGS2+ CAFs support a spatially resolved revCSC to proCSC plasticity gradient in human CRC tumours marked by increasing DACH1 expression. These results reveal that stromal prostaglandin is a dominant spatial regulator of poor-prognosis cell-fates and may explain the benefit of anti-COX therapies in both preventing and treating CRC.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 9%
18.3%
2
Cell Reports
1498 papers in training set
Top 4%
7.2%
3
Nature
645 papers in training set
Top 2%
6.2%
4
Cancer Discovery
66 papers in training set
Top 0.5%
4.8%
5
Developmental Cell
196 papers in training set
Top 0.9%
4.3%
6
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 12%
4.3%
7
Cancer Research
130 papers in training set
Top 0.9%
4.0%
8
Science Advances
1243 papers in training set
Top 8%
4.0%
50% of probability mass above
9
Nature Genetics
286 papers in training set
Top 2%
3.2%
10
eLife
5828 papers in training set
Top 35%
3.2%
11
Cell Stem Cell
62 papers in training set
Top 0.5%
3.2%
12
Cancer Cell
42 papers in training set
Top 0.5%
2.8%
13
Cell
431 papers in training set
Top 4%
2.4%
14
The EMBO Journal
309 papers in training set
Top 2%
2.4%
15
Nature Cell Biology
118 papers in training set
Top 1%
2.4%
16
Genome Medicine
183 papers in training set
Top 3%
1.7%
17
Nature Cancer
39 papers in training set
Top 0.9%
1.7%
18
EMBO Reports
263 papers in training set
Top 4%
1.5%
19
Molecular Cell
350 papers in training set
Top 4%
1.3%
20
Nature Ecology & Evolution
18 papers in training set
Top 0.2%
1.3%
21
Journal of Clinical Investigation
179 papers in training set
Top 4%
1.3%
22
Gastroenterology
42 papers in training set
Top 0.8%
1.1%
23
JCI Insight
277 papers in training set
Top 6%
1.1%
24
Communications Biology
993 papers in training set
Top 25%
1.1%
25
Science Signaling
65 papers in training set
Top 1%
1.0%
26
Science
477 papers in training set
Top 8%
1.0%
27
Gut
40 papers in training set
Top 0.9%
0.8%
28
EMBO Molecular Medicine
95 papers in training set
Top 3%
0.8%
29
Cell Death & Disease
21 papers in training set
Top 0.5%
0.6%
30
Molecular Systems Biology
162 papers in training set
Top 4%
0.6%