Back

Role of c-Met/β1 integrin complex in the metastatic cascade

Lau, D.; Wadhwa, H.; Sudhir, S.; Jain, S.; Chandra, A.; Nguyen, A.; Spatz, J.; Shah, S. S.; Cheng, J.; Safaee, M.; Yagnik, G.; Jahangiri, A.; Aghi, M. K.

2020-04-22 cancer biology
10.1101/2020.04.20.051888 bioRxiv
Show abstract

Metastases cause 90% of human cancer deaths. The metastatic cascade involves local invasion, intravasation, extravasation, metastatic site colonization, and proliferation. While individual mediators of these processes have been investigated, interactions between these mediators remain less well defined. We previously identified a structural complex between receptor tyrosine kinase c-Met and {beta}1 integrin in metastases. Using novel cell culture and in vivo assays, we found that c-Met/{beta}1 complex induction promotes breast cancer intravasation and adhesion to the vessel wall, but does not increase extravasation. These effects may be driven by the ability of the c-Met/{beta}1 complex to increase mesenchymal and stem cell characteristics. Multiplex transcriptomic analysis revealed upregulated Wnt and hedgehog pathways after c-Met/{beta}1 complex induction. A {beta}1 integrin point mutation that prevented binding to c-Met reduced intravasation. OS2966, a therapeutic antibody disrupting c-Met/{beta}1 binding, decreased invasion and mesenchymal gene expression and morphology of breast cancer cells. Bone-seeking breast cancer cells exhibited higher c-Met/{beta}1 complex levels than parental controls and preferentially adhere to tissue-specific matrix. Patient bone metastases demonstrated higher c-Met/{beta}1 levels than brain metastases. Thus, the c-Met/{beta}1 complex drives breast cancer cell intravasation and preferential affinity for bone tissue-specific matrix. Pharmacological targeting of the complex may prevent metastases, particularly osseous metastases.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Oncogene
76 papers in training set
Top 0.1%
22.3%
2
Nature Communications
4913 papers in training set
Top 18%
10.0%
3
Cancer Research
116 papers in training set
Top 0.1%
8.3%
4
eLife
5422 papers in training set
Top 9%
8.3%
5
Cell Reports
1338 papers in training set
Top 7%
6.3%
50% of probability mass above
6
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 19%
3.6%
7
Molecular Cancer Research
42 papers in training set
Top 0.1%
3.6%
8
Developmental Cell
168 papers in training set
Top 6%
3.0%
9
Journal of Experimental Medicine
106 papers in training set
Top 1%
2.4%
10
Scientific Reports
3102 papers in training set
Top 56%
1.8%
11
Cancers
200 papers in training set
Top 3%
1.6%
12
Cell Death & Disease
126 papers in training set
Top 1%
1.3%
13
Communications Biology
886 papers in training set
Top 15%
1.2%
14
Matrix Biology
28 papers in training set
Top 0.2%
1.2%
15
Nature Cancer
35 papers in training set
Top 1%
0.9%
16
Journal of Clinical Investigation
164 papers in training set
Top 7%
0.7%
17
Journal of Bone and Mineral Research
32 papers in training set
Top 0.4%
0.7%
18
JCI Insight
241 papers in training set
Top 7%
0.7%
19
iScience
1063 papers in training set
Top 33%
0.7%
20
Cell Reports Medicine
140 papers in training set
Top 8%
0.7%
21
Cell
370 papers in training set
Top 18%
0.7%
22
Breast Cancer Research
32 papers in training set
Top 0.6%
0.7%
23
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 11%
0.6%