Back

Vasculopathy as a Mechanical Barrier to Cancer Spread: Clinical Evidence and a Rheology-Based Model in Lung Cancer

Stella, G. M.; Novy, C.; Bertuccio, F.; ferrarotti, I.; Bortolotto, C.; Conio, V.; Giorgiani, T.; Pisanu, L.; Salzillo, I.; De Silvestri, A.; Arici, V.; Maccarini, A.; Cerveri, P.; Corsico, A.; Bozzani, A.

2026-01-15 oncology
10.64898/2026.01.12.26343968 medRxiv
Show abstract

Metastatic dissemination in lung cancer (LC) and other solid tumors is influenced not only by tumor-intrinsic biology and immune-inflammatory responses, but also by the physical properties of the vascular system through which circulating tumor cells (CTCs) migrate. Peripheral arterial disease (PAD), particularly when manifesting as aneurysmal dilation, is frequent among long-term smokers and is associated with chronic vascular inflammation and altered hemodynamics. We hypothesized that PAD-related vascular remodeling and rheological alterations may influence tumor metastatic capacity. Through a retrospective analysis of 976 patients diagnosed with both cancer and arteriopathy between 2018 and 2024, a cohort of 120 individuals with concomitant aneurysmal and neoplastic disease was identified. Demographic, biochemical, and pathological variables were examined, and metastatic burden at diagnosis was compared with that of an unselected LC population from the same institution and with literature-reported data. We focused on non-small cell lung cancer (NSCLC) as a well-characterized biological model and developed a phenomenological biophysical framework linking inflammation-driven changes in blood viscosity to metastatic competence. A Monte Carlo simulation approach was used to estimate metastasis probability under control and PAD-like rheological conditions. Despite marked male predominance and high smoking exposure, the study cohort exhibited an unexpectedly low metastatic burden, with 13.3% of patients presenting metastatic disease at diagnosis and only 7.6% showing extrathoracic dissemination, compared with an expected rate of approximately 30%. Partition analysis identified arteriopathy as the strongest predictor associated with reduced metastatic dissemination. The rheological model indicated that once inflammation exceeds a critical threshold, increased blood viscosity and disturbed flow patterns may act as a mechanical filter impairing CTC extravasation. Monte Carlo simulations supported this threshold-dependent mechanism, showing an approximately 50% reduction in predicted metastatic rates in PAD-like conditions compared with controls. Collectively, these findings suggest that chronic PAD and aneurysmal vasculopathy may reshape the circulatory microenvironment, with NSCLC providing a mechanistically interpretable framework for a transition from a metastasis-permissive to a metastasis-restrictive rheological regime.

Matching journals

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

1
Cancers
213 papers in training set
Top 0.3%
12.0%
2
Scientific Reports
3612 papers in training set
Top 4%
10.7%
3
Interface Focus
14 papers in training set
Top 0.1%
6.3%
4
eLife
5828 papers in training set
Top 18%
6.3%
5
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 10%
5.2%
6
Communications Medicine
113 papers in training set
Top 0.7%
4.1%
7
Frontiers in Oncology
103 papers in training set
Top 1%
3.3%
8
Arteriosclerosis, Thrombosis, and Vascular Biology
71 papers in training set
Top 0.5%
3.3%
50% of probability mass above
9
Annals of Epidemiology
21 papers in training set
Top 0.1%
3.3%
10
iScience
1154 papers in training set
Top 8%
2.8%
11
PLOS ONE
5266 papers in training set
Top 40%
2.8%
12
Frontiers in Immunology
638 papers in training set
Top 4%
2.7%
13
Journal of the American Heart Association
140 papers in training set
Top 3%
1.9%
14
Nature Communications
5641 papers in training set
Top 43%
1.9%
15
Pulmonary Circulation
10 papers in training set
Top 0.1%
1.7%
16
PLOS Computational Biology
1863 papers in training set
Top 14%
1.7%
17
Annals of Biomedical Engineering
37 papers in training set
Top 0.6%
1.4%
18
Circulation Research
47 papers in training set
Top 0.9%
1.1%
19
Bulletin of Mathematical Biology
92 papers in training set
Top 1%
1.1%
20
Angiogenesis
14 papers in training set
Top 0.1%
1.1%
21
Communications Biology
993 papers in training set
Top 26%
1.0%
22
Fluids and Barriers of the CNS
28 papers in training set
Top 0.5%
0.9%
23
British Journal of Haematology
15 papers in training set
Top 0.2%
0.9%
24
Biomolecules
100 papers in training set
Top 3%
0.9%
25
Cardiovascular Research
37 papers in training set
Top 1%
0.9%
26
PeerJ
308 papers in training set
Top 11%
0.9%
27
Frontiers in Pharmacology
111 papers in training set
Top 3%
0.6%
28
International Journal of Molecular Sciences
494 papers in training set
Top 17%
0.6%
29
eBioMedicine
183 papers in training set
Top 7%
0.6%
30
British Journal of Cancer
49 papers in training set
Top 2%
0.6%