Back

Spatiotemporal Patterns of Active Deformation Reveal Downregulation of Cell-Cell Adhesion in Patient-Derived Colorectal Cancer Organoids with BRAF Mutation

Nagai, S.; Suzuki, R.; Yamakawa, G.; Fukuda, A.; Seno, H.; Tanaka, M.

2026-03-08 biophysics
10.64898/2026.03.07.710277 bioRxiv
Show abstract

Colorectal cancer (CRC) is the second most common cause of cancer-related mortality. At the molecular level, CRC is associated with genetic mutations and epigenetic modifications that dysregulate various signaling networks. From the biophysical viewpoint, invasive and metastatic cell migration need to be empowered by mechanical forces. In this study, we analyze the dynamic deformation of patient-derived CRC organoids in Fourier space and demonstrate how organoids with protooncogene BRAF mutation exhibit deformation phenotypes at an early stage. The organoids with BRAFmut have significantly lower elasticity and higher viscosity than those with BRAFWT, which mathematically indicated as the weakening of cell-cell adhesion. Immunohistochemical images, qRT-PCR, and TCGA data analysis confirm the downregulation of E-cadherin (CDH1) in BRAFmut organoids as well as in BRAFmut CRC, suggesting that the decrease in cell-cell adhesion in BRAFmut CRC facilitates invasive and metastatic migration. Notably, the recovery of CDH1 expression by pharmacological inhibition of DNA methylation can quantitatively be detected as the change in mechanical properties, suggesting that the complementary combination of dynamic phenotyping, mathematical modelling, and molecular-level analyses has a potential to unravel the mechanistic causality of the critical gene mutation and CRCs prognosis and the response to therapeutic interventions.

Matching journals

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

1
Advanced Science
249 papers in training set
Top 0.5%
14.7%
2
APL Bioengineering
18 papers in training set
Top 0.1%
7.2%
3
Biophysical Journal
545 papers in training set
Top 0.9%
6.4%
4
Scientific Reports
3102 papers in training set
Top 19%
6.3%
5
PLOS Computational Biology
1633 papers in training set
Top 7%
4.8%
6
eLife
5422 papers in training set
Top 17%
4.8%
7
iScience
1063 papers in training set
Top 3%
4.3%
8
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 2%
3.7%
50% of probability mass above
9
Physical Review Research
46 papers in training set
Top 0.1%
3.6%
10
Journal of The Royal Society Interface
189 papers in training set
Top 1%
3.6%
11
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.3%
2.1%
12
Physical Biology
43 papers in training set
Top 0.9%
1.9%
13
Soft Matter
50 papers in training set
Top 0.2%
1.8%
14
Communications Biology
886 papers in training set
Top 9%
1.7%
15
Frontiers in Physics
20 papers in training set
Top 0.3%
1.7%
16
The European Physical Journal E
15 papers in training set
Top 0.1%
1.7%
17
PNAS Nexus
147 papers in training set
Top 0.4%
1.5%
18
Cancers
200 papers in training set
Top 3%
1.3%
19
Computational and Structural Biotechnology Journal
216 papers in training set
Top 7%
0.9%
20
Physical Review Letters
43 papers in training set
Top 0.5%
0.9%
21
Acta Biomaterialia
85 papers in training set
Top 0.7%
0.9%
22
PRX Life
34 papers in training set
Top 0.7%
0.9%
23
Frontiers in Molecular Biosciences
100 papers in training set
Top 4%
0.8%
24
PLOS ONE
4510 papers in training set
Top 68%
0.7%
25
Nature Communications
4913 papers in training set
Top 63%
0.7%
26
Nano Letters
63 papers in training set
Top 3%
0.7%
27
The Journal of Physical Chemistry Letters
58 papers in training set
Top 2%
0.7%
28
Advanced Healthcare Materials
71 papers in training set
Top 2%
0.7%
29
Communications Physics
12 papers in training set
Top 0.7%
0.6%
30
ACS Nano
99 papers in training set
Top 4%
0.6%