Mechanotransduction in tumor dynamics modeling

Blanco, Beatriz; Gómez, Héctor; Melchor, Jerry P.; Palma, R.; Soler, Juan; Rus, Guillermo

doi:10.1016/j.plrev.2023.01.017

Cited by 9 publications

(5 citation statements)

References 233 publications

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“…The average stiffness of a consolidated tumor on the mucosal surface is in the range of E t = 10–60 kPa with Poisson’s ratio υ = 0.3–0.4. − The roughness of a mucosal surface can be approximated by a periodic function f ( x ) = h p sin 2 (π x / L ), where h p is the asperity height, h p ∼ 10 μm, and L is the period, L ∼ 150 μm.…”

Section: Resultsmentioning

confidence: 99%

“… 23 Deformation and detachment of cells are strongly influenced by the mechanical properties of the tumor, where prior works have shown a correlation between the mechanical properties of cells and pathophysiological states, such as cancer. 17 , 18 As an example, the measured debonding forces obtained when trying to separate breast cells from their ECM were 211 ± 5 nN for normal cells and 133 ± 46 nN for cancer cells. 24 The forces that developed during deformation and detachment of cultivated murine fibroblasts from one another were 350 ± 40 nN.…”

Section: Resultsmentioning

confidence: 99%

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Mechanical Perspective on Increasing Brush Cytology Yield

Khamaysi,

Firman,

Martin

et al. 2024

ACS Biomater. Sci. Eng.

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Brush cytology is a sampling technique extensively used for mucosal surfaces, particularly to identify malignancies. A sample is obtained by rubbing the brush bristles over the stricture or lesion several times until cells are trapped. Brush cytology detection rate varies, with malignancy confirmed in 15−65% of cases of adenocarcinoma-associated biliary strictures and 44−80% of cases of cholangiocarcinoma. Despite the widespread use of brush cytology, there is no consensus to date defining the optimal biliary brushing parameters for the collection of suspicious lesions, such as the number of passes, brushing rate, and force applied. The aim of this work is to increase the brush cytology diagnostic yield by elucidating the underlying mechanical phenomena. First, the mechanical interactions between the brush bristles and sampled tissue are analyzed. During brushing, mucus and detached cells are transferred to the space between the bristles through the capillary rise and flow eddies. These mass transfer mechanisms and their dependence on mucus rheology as a function of pH, brush displacement rate, and bristle geometry and configuration are examined. Lastly, results from ex vivo brushing experiments performed on porcine stomachs are presented. Clinical practitioners from a variety of disciplines can apply the findings of this study to outline clear procedures for cytological brushing to increase the sensitivity and specificity of the brushings.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Mechanical Perspective on Increasing Brush Cytology Yield

Khamaysi,

Firman,

Martin

et al. 2024

ACS Biomater. Sci. Eng.

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“…Liquid (shear stress) and solid mechanical stress are associated with carcinogenesis, invasion [ 200 , 201 , 202 , 203 ], and the initiation of autophagy [ 196 ]. Two sources of shear stress may be encountered by a cancer cell during its lifespan: firstly, shear stresses produced through interstitial fluid flow within the TME [ 203 , 204 ], and, secondly, shear stresses (hemodynamics shear stress) in the circulation occurring throughout intravasation and circulation [ 200 ].…”

Section: Mechanical Aspects Of the Ecm On Cells (Plasticity) And Mech...mentioning

confidence: 99%

Extracellular Matrix Cues Regulate Mechanosensing and Mechanotransduction of Cancer Cells

Mierke

2024

Cells

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Extracellular biophysical properties have particular implications for a wide spectrum of cellular behaviors and functions, including growth, motility, differentiation, apoptosis, gene expression, cell–matrix and cell–cell adhesion, and signal transduction including mechanotransduction. Cells not only react to unambiguously mechanical cues from the extracellular matrix (ECM), but can occasionally manipulate the mechanical features of the matrix in parallel with biological characteristics, thus interfering with downstream matrix-based cues in both physiological and pathological processes. Bidirectional interactions between cells and (bio)materials in vitro can alter cell phenotype and mechanotransduction, as well as ECM structure, intentionally or unintentionally. Interactions between cell and matrix mechanics in vivo are of particular importance in a variety of diseases, including primarily cancer. Stiffness values between normal and cancerous tissue can range between 500 Pa (soft) and 48 kPa (stiff), respectively. Even the shear flow can increase from 0.1–1 dyn/cm2 (normal tissue) to 1–10 dyn/cm2 (cancerous tissue). There are currently many new areas of activity in tumor research on various biological length scales, which are highlighted in this review. Moreover, the complexity of interactions between ECM and cancer cells is reduced to common features of different tumors and the characteristics are highlighted to identify the main pathways of interaction. This all contributes to the standardization of mechanotransduction models and approaches, which, ultimately, increases the understanding of the complex interaction. Finally, both the in vitro and in vivo effects of this mechanics–biology pairing have key insights and implications for clinical practice in tumor treatment and, consequently, clinical translation.

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“…Tumor microenvironment includes tumor and stromal cells, ECM and other elements, which are significantly different from those of normal tissue. It is crucial for the proliferation and development of tumor cells and is influenced by the compressive stress in the tumor tissue [209][210][211]. For example, mechanical stress can regulate the functions of blood vessels and lymphatic vessels, resulting in metabolic abnormalities and elevated interstitial pressure, increased difficulty of drug transport and promotion of tumor cell metastasis.…”

Section: Mechanical Stressmentioning

confidence: 99%

Biomechanical modelling of tumor growth with chemotherapeutic treatment: a review

Xu,

Wang,

Gomez

et al. 2023

Smart Mater. Struct.

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The efficiency of chemotherapy in the treatment of cancer depends on the administration schedule, such as dosage, timing and frequency, and the release control if self-assembled drugs are administered, in addition to the drug transport in the tumor microenvironment. Biomechanical models can help deepen our understanding of drug pharmacokinetics and pharmacodynamics, tumor response and resistance to treatment, as well as enable the use of personalized treatment and optimal therapies. This review aims to provide an overview of computational modeling for vascular tumor growth, drug biotransport, and tumor response with integration of microenvironmental biology phenomena, e.g., angiogensis, blood flow, and mechanical stress. We first review some discrete and continuum models for vascular tumors, highlighting the advantages and challenges of each approach. Then, we discuss mathematical models that include chemotherapeutic treatment and provide potential strategies to promote drug effectiveness through numerical observations. We finalize discussing several aspects that warrant further research including multiscale modeling of cancer, incorporation of patient-specific parameters and coupling of models with emerging medical imaging technologies.

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Mechanotransduction in tumor dynamics modeling

Cited by 9 publications

References 233 publications

Mechanical Perspective on Increasing Brush Cytology Yield

Mechanical Perspective on Increasing Brush Cytology Yield

Extracellular Matrix Cues Regulate Mechanosensing and Mechanotransduction of Cancer Cells

Biomechanical modelling of tumor growth with chemotherapeutic treatment: a review

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