Back

Human 3D epithelioids enable continuous long-term clonal evolution studies across multiple epithelial tissues

Ferreira, I. S.; Pradilla-Dieste, A.; Valverde-Lopez, J. A.; Abascal, F.; Ishida, Y.; Baselga, M.; Przybilla, M.; Lawson, A.; Nicola, P.; Baez-Ortega, A.; Butler, R.; Soriano-Navarro, M.; Miniter, M.; Malasi, K.; Sancho-Serra, C.; Man, C.-B.; Cameron, M.; Tadross, J. A.; Bates, A.; Harden, G.; Ince, W.; Barnet, G.; Jena, R.; Vento-Tormo, R.; Martin, J.; Mahbubani, K. T.; Saeb-Parsy, K.; Schuhmacher, A. J.; Martincorena, I.; Fernandez-Antoran, D.

2026-06-08 cancer biology
10.64898/2026.06.07.730560 bioRxiv
Show abstract

Modeling human epithelia in vitro remains challenging because current systems do not fully preserve the combination of architecture, heterogeneity, clonal composition, and long-term dynamics shown in vivo. While 3D approaches such as organoids and organotypic cultures capture important aspects of lineage differentiation and niche signaling, they often lose stable organization over time, limiting studies of long-lasting processes such as clonal evolution and cell competition. Here, we present human epithelioids as continuous long-term, 3D epithelial cultures efficiently derived from eight adult human epithelia, including trachea, skin, buccal mucosa, esophagus, blader, urethra, submandibular gland and endometrium. Using immunostaining, electron microscopy, single-cell RNA sequencing, functional assays and somatic mutation analyses, we deeply characterized human epithelioids and confirmed that they recapitulate native architecture and cell diversity, sustain regenerative capacity, and preserve donor-specific mutational landscapes, establishing a robust and versatile platform for longitudinal interrogation of clonal evolution, tissue dynamics and responses to clinically relevant perturbations, including radiotherapy and chemotherapy, over extended timescales.

Matching journals

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

1
Cell Stem Cell
62 papers in training set
Top 0.1%
18.2%
2
Nature Communications
5641 papers in training set
Top 17%
10.4%
3
Nature
645 papers in training set
Top 1%
9.6%
4
Cell
431 papers in training set
Top 2%
4.8%
5
Cancer Discovery
66 papers in training set
Top 0.5%
4.3%
6
Nature Cell Biology
118 papers in training set
Top 0.7%
4.2%
50% of probability mass above
7
Science Advances
1243 papers in training set
Top 8%
4.0%
8
Cell Reports
1498 papers in training set
Top 13%
3.2%
9
Developmental Cell
196 papers in training set
Top 2%
2.6%
10
Science
477 papers in training set
Top 3%
2.6%
11
Nature Genetics
286 papers in training set
Top 2%
2.6%
12
Nature Materials
28 papers in training set
Top 0.2%
2.3%
13
Advanced Science
286 papers in training set
Top 5%
1.5%
14
JCI Insight
277 papers in training set
Top 5%
1.5%
15
eLife
5828 papers in training set
Top 53%
1.4%
16
Nature Biotechnology
172 papers in training set
Top 3%
1.4%
17
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 33%
1.3%
18
Cancer Cell
42 papers in training set
Top 1%
1.1%
19
Nature Cancer
39 papers in training set
Top 1%
1.1%
20
Stem Cell Reports
130 papers in training set
Top 2%
1.1%
21
Communications Biology
993 papers in training set
Top 25%
1.0%
22
Cell Reports Medicine
153 papers in training set
Top 4%
1.0%
23
Nature Ecology & Evolution
18 papers in training set
Top 0.3%
0.9%
24
Nature Medicine
125 papers in training set
Top 3%
0.9%
25
iScience
1154 papers in training set
Top 36%
0.8%
26
Molecular Cancer
16 papers in training set
Top 0.4%
0.8%
27
Cell Reports Methods
165 papers in training set
Top 5%
0.6%
28
Genome Biology
637 papers in training set
Top 10%
0.6%
29
Scientific Reports
3612 papers in training set
Top 79%
0.6%
30
Science Translational Medicine
127 papers in training set
Top 4%
0.6%