Back

Aging restricts colorectal tumor growth by epigenetically silencing developmental gene programs

Liu, Y.; Thiriveedi, V.; Khumukcham, S. S.; Mirminachi, B.; Cano, R. R.; Aladelokun, O.; Choudri, S.; Patel, V.; Khan, S. R.; Mottemmal, S.; Markham, N. O.; Khan, S. A.; Johnson, C. H.; Grimm, S. A.; Roper, J.; Wade, P. A.

2026-07-08 cancer biology
10.64898/2026.06.12.731922 bioRxiv
Show abstract

The incidence of early-onset colorectal cancer (CRC) has risen sharply in recent decades1, yet the biological basis underlying the distinct behavior of tumors arising in young versus aged tissues remains poorly understood. Here we show that aging reprograms the epigenetic landscape of the colon, restricting colon tumor growth through stable silencing of developmental and fetal gene programs. We find that colon tumors arising in aged mice are intrinsically less proliferative than those arising in young animals. Multi-omic profiling of normal colon and colon tumors reveals that aging drives DNA hypermethylation, loss of Polycomb-associated chromatin states, and reduced chromatin accessibility at a defined set of developmental genes that are bivalent (marked by both H3K27me3 and H3K4 methylation), transcriptionally active in colon tumors from young animals and repressed in both tumors and normal tissue from old animals. Among the genes most strongly repressed in old animals is Tacstd2 (Trop2), a regulator of fetal intestinal programs and epithelial stemness. Pharmacologic inhibition of DNA methylation reactivates the aging-silenced gene network in organoids from old animals, whereas genetic disruption of Tacstd2 suppresses growth and developmental transcriptional programs in young tumor organoids. TACSTD2, fetal gene signatures, and the aging-associated bivalent gene program are likewise repressed in late-onset vs. early-onset human colorectal cancers. Collectively, these findings identify age-associated epigenetic silencing of developmental gene programs as a causal mechanism that constrains colorectal tumor growth and provide a mechanistic framework for understanding the distinct biology of early-onset colorectal cancer.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 10%
18.0%
2
Nature
645 papers in training set
Top 1%
11.6%
3
Nature Aging
60 papers in training set
Top 0.3%
6.1%
4
Science
477 papers in training set
Top 1%
6.1%
5
Cell Reports
1498 papers in training set
Top 7%
5.3%
6
Nature Cell Biology
118 papers in training set
Top 0.7%
4.2%
50% of probability mass above
7
Cancer Discovery
66 papers in training set
Top 0.6%
4.2%
8
Molecular Cell
350 papers in training set
Top 2%
3.9%
9
eLife
5828 papers in training set
Top 36%
3.1%
10
Developmental Cell
196 papers in training set
Top 1%
3.0%
11
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 20%
2.6%
12
Cell Stem Cell
62 papers in training set
Top 0.8%
2.1%
13
The EMBO Journal
309 papers in training set
Top 3%
1.9%
14
Science Advances
1243 papers in training set
Top 18%
1.9%
15
Cancer Research
130 papers in training set
Top 2%
1.7%
16
Nature Cancer
39 papers in training set
Top 0.8%
1.7%
17
Genome Medicine
183 papers in training set
Top 3%
1.6%
18
Nature Genetics
286 papers in training set
Top 3%
1.6%
19
Journal of Experimental Medicine
119 papers in training set
Top 2%
1.5%
20
Cell
431 papers in training set
Top 8%
1.1%
21
EMBO Reports
263 papers in training set
Top 6%
1.1%
22
Cancer Cell
42 papers in training set
Top 1%
1.1%
23
Nature Medicine
125 papers in training set
Top 3%
1.1%
24
Immunity
67 papers in training set
Top 2%
0.8%
25
Nature Ecology & Evolution
18 papers in training set
Top 0.4%
0.8%
26
Nature Metabolism
69 papers in training set
Top 2%
0.8%
27
Journal of Clinical Investigation
179 papers in training set
Top 7%
0.6%