Evidence mapPaperPMID 42435531Full record

ArticleTranslational oncology2026

Vasculopathy as a mechanical barrier to cancer spread: Clinical evidence and a rheology-based model in lung cancer and other solid tumors.

Giulia M Stella, Cristina Novy, Francesco Rocco Bertuccio, Ilaria Ferrarotti, Valentina Conio, Chandra Bortolotto, Tiziana Giorgiani, Lucrezia Pisanu, Ilaria Salzillo, Annalisa De Silvestri and 5 more

Abstract read
In one paragraph

Article in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Giulia M StellaDept. of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100, Pavia, Italy; Cardiothoracic and Vascular Department, Unit of Respiratory Disease, IRCCS Policlinico San Matteo, 27100, Pavia, Italy. Electronic address: giuliamaria.stella@unipv.it.
Cristina NovyCardiothoracic and Vascular Department, Unit of Respiratory Disease, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Francesco Rocco BertuccioDept. of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100, Pavia, Italy; Cardiothoracic and Vascular Department, Unit of Respiratory Disease, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Ilaria FerrarottiDept. of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100, Pavia, Italy; Cardiothoracic and Vascular Department, Unit of Respiratory Disease, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Valentina ConioCardiothoracic and Vascular Department, Unit of Respiratory Disease, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Chandra BortolottoSC Information Systems, IRCCS Policlinico San Matteo, 27100, Pavia, Italy; Diagnostic Imaging and Radiotherapy Unit, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Tiziana GiorgianiDepartment of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia Medical School, 27100, Pavia, Italy.
Lucrezia PisanuCardiothoracic and Vascular Department, Unit of Respiratory Disease, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Ilaria SalzilloCardiothoracic and Vascular Department, Unit of Vascular Surgery, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Annalisa De SilvestriSSD Biostatistics and Clinical Trial Center, Scientific Direction, Fondazione IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Vittorio AriciCardiothoracic and Vascular Department, Unit of Vascular Surgery, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Alice MaccariniDept. of Industrial and Information Engineering, University of Pavia, 27100, Pavia, Italy.
Pietro CerveriDept. of Industrial and Information Engineering, University of Pavia, 27100, Pavia, Italy.
Angelo G CorsicoDept. of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, 27100, Pavia, Italy; Cardiothoracic and Vascular Department, Unit of Respiratory Disease, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.
Antonio BozzaniCardiothoracic and Vascular Department, Unit of Vascular Surgery, IRCCS Policlinico San Matteo, 27100, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 associated with aneurysmal dilation, is frequent among long-term smokers and is characterized by 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, with non-small cell lung cancer (NSCLC) considered the primary biologically interpretable model. Metastatic burden at diagnosis was compared with that of an unselected LC population from the same institution and with literature-reported data. Within this framework, a phenomenological biophysical model was developed linking inflammation-driven changes in blood viscosity to metastatic competence, and a Monte Carlo approach was used to estimate metastasis probability under control and PAD-like 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%. Multivariable analysis and partition modeling identified arteriopathy as the dominant factor associated with reduced metastatic dissemination, whereas conventional tumor and inflammatory biomarkers showed limited explanatory value. 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.

Indexed as

Aneurysmal diseaseBlood viscosityCancerCOPDInflammationMetastases

Identifiers

PMID42435531
PMCPMC13380756

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.