Translating Mathematical Modeling of Tumor Growth Patterns into Novel Therapeutic Approaches for Breast Cancer

2012 ◽  
Vol 17 (3-4) ◽  
pp. 241-249 ◽  
Author(s):  
Elizabeth Comen ◽  
Patrick G. Morris ◽  
Larry Norton
Keyword(s):  
Breast Cancer ◽  
Mathematical Modeling ◽  
Tumor Growth ◽  
Growth Patterns ◽  
Therapeutic Approaches ◽  
Novel Therapeutic

scholarly journals Combining Mechanistic Models and Machine Learning for Personalized Chemotherapy and Surgery Sequencing in Breast Cancer

2020 ◽  
Author(s):  
Cristian Axenie ◽  
Daria Kurz
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Tumor Growth ◽  
Predictive Modelling ◽  
Growth Patterns ◽  
Growth Behaviour ◽  
Computational Oncology ◽  
Chemotherapy Protocol ◽  
Clinical Advantage ◽  
Personalized Chemotherapy

AbstractMathematical and computational oncology has increased the pace of cancer research towards the advancement of personalized therapy. Serving the pressing need to exploit the large amounts of currently underutilized data, such approaches bring a significant clinical advantage in tailoring the therapy. CHIMERA is a novel system that combines mechanistic modelling and machine learning for personalized chemotherapy and surgery sequencing in breast cancer. It optimizes decision-making in personalized breast cancer therapy by connecting tumor growth behaviour and chemotherapy effects through predictive modelling and learning. We demonstrate the capabilities of CHIMERA in learning simultaneously the tumor growth patterns, across several types of breast cancer, and the pharmacokinetics of a typical breast cancer chemotoxic drug. The learnt functions are subsequently used to predict how to sequence the intervention. We demonstrate the versatility of CHIMERA in learning from tumor growth and pharmacokinetics data to provide robust predictions under two, typically used, chemotherapy protocol hypotheses.

scholarly journals Successful Treatment of Mycobacterium chelonae Keratitis Within a Corneal Transplant Using Intrastromal Amikacin Injections—A Case Report Demonstrating the Fundamental Principles and Challenges of Infective Keratitis Management and Novel Therapeutic Approaches

2019 ◽  
Vol 6 (8) ◽  
Author(s):  
Nancy Louisa Merridew ◽  
Ravinder Singh Phagura ◽  
Edward Anderson ◽  
Louise Anne Cooley ◽  
Graeme Alfred Pollock ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Case Report ◽  
Transplant Recipient ◽  
Effective Treatment ◽  
Metastatic Breast ◽  
Corneal Transplant ◽  
Therapeutic Approaches ◽  
Mycobacterium Chelonae ◽  
Novel Therapeutic

Abstract Mycobacterium chelonae keratitis is rare and difficult to treat. This is the first known case worldwide of effective treatment using intrastromal amikacin injections in a corneal transplant recipient who had metastatic breast cancer. The challenges and principles of management, applicable to other causes of infective keratitis, are reviewed.

Experimental and theoretical studies of tumor growth

2019 ◽  
Vol 04 (03) ◽  
pp. 1950004 ◽  
Author(s):  
Hao Sun ◽  
Timothy Eswothy ◽  
Kerlin P. Robert ◽  
Jiaoyan Li ◽  
L. G. Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Growth ◽  
Growth Dynamics ◽  
Cancer Cell Line ◽  
Growth Patterns ◽  
Pressure Fields ◽  
Biological Phenomena ◽  
Growth Mechanics ◽  
Experimental And Theoretical Studies

Most biological phenomena commonly involve growth and expansion mechanics. In this work, we propose an innovative model of cancerous growth which posits that an expandable tumor can be described as a poroelastic medium consisting of solid and fluid components. To verify the feasibility of the model, we utilized an established epithelial human breast cancer cell line (MDA-MB-231) to generate an in vitro tumorsphere system to observe tumor growth patterns in both constrained and unconstrained growth environments. The tumorspheres in both growth environments were grown with and without the FDA-approved anti-breast cancer anthracycline, Doxorubicin (Dox), in order to observe the influence small molecule drugs have on tumor-growth mechanics. In our biologically informed mechanical description of tumor growth dynamics, we derive the governing equations of the tumor’s growth and incorporate them with large deformation to improve the accuracy and efficiency of our simulation. Meanwhile, the dynamic finite element equations (DFE) for coupled displacement field and pressure field are formulated. Moreover, the porosity and growth tensor are generalized to be functions of displacement and pressure fields. We also introduce a specific porosity and growth tensor. In both cases, the formalism of continuum mechanics and DFE are accompanied by accurate numerical simulations.

scholarly journals Cross-talk between Notch and the Estrogen Receptor in Breast Cancer Suggests Novel Therapeutic Approaches

2008 ◽  
Vol 68 (13) ◽  
pp. 5226-5235 ◽  
Author(s):  
Paola Rizzo ◽  
Haixi Miao ◽  
Gwendolyn D'Souza ◽  
Clodia Osipo ◽  
Jieun Yun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Cross Talk ◽  
Therapeutic Approaches ◽  
Novel Therapeutic

Novel therapeutic approaches to the treatment of metastatic breast cancer

2010 ◽  
Vol 36 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Yolanda Fernández ◽  
Juan Cueva ◽  
Andrés G. Palomo ◽  
Manuel Ramos ◽  
Ana de Juan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Metastatic Breast ◽  
Therapeutic Approaches ◽  
Novel Therapeutic

scholarly journals High endogenous CCL2 expression promotes the aggressive phenotype of human inflammatory breast cancer

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Anita Rogic ◽  
Ila Pant ◽  
Luca Grumolato ◽  
Ruben Fernandez-Rodriguez ◽  
Andrew Edwards ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Growth ◽  
Inflammatory Breast Cancer ◽  
Xenograft Model ◽  
Lymphatic Invasion ◽  
Therapeutic Approaches ◽  
Ccl2 Expression ◽  
Mouse Xenograft Model ◽  
Skin Erythema ◽  
Key Factor

AbstractInflammatory Breast Cancer (IBC) is a highly aggressive malignancy with distinct clinical and histopathological features whose molecular basis is unresolved. Here we describe a human IBC cell line, A3250, that recapitulates key IBC features in a mouse xenograft model, including skin erythema, diffuse tumor growth, dermal lymphatic invasion, and extensive metastases. A3250 cells express very high levels of the CCL2 chemokine and induce tumors enriched in macrophages. CCL2 knockdown leads to a striking reduction in macrophage densities, tumor proliferation, skin erythema, and metastasis. These results establish IBC-derived CCL2 as a key factor driving macrophage expansion, and indirectly tumor growth, with transcriptomic analysis demonstrating the activation of multiple inflammatory pathways. Finally, primary human IBCs exhibit macrophage infiltration and an enriched macrophage RNA signature. Thus, this human IBC model provides insight into the distinctive biology of IBC, and highlights potential therapeutic approaches to this deadly disease.

scholarly journals miR-18a promotes glioblastoma development by down-regulating ALOXE3-mediated ferroptotic and anti-migration activities

Oncogenesis ◽  
2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Xinzhi Yang ◽  
Jiangang Liu ◽  
Chenci Wang ◽  
Kenneth King-yip Cheng ◽  
Hongchao Xu ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Tumor Growth ◽  
Cell Survival ◽  
Akt Pathway ◽  
Therapeutic Approaches ◽  
Functional Roles ◽  
Human Gbm ◽  
And Migration ◽  
Hydroxyeicosatetraenoic Acids ◽  
Novel Therapeutic

AbstractThe development of glioblastoma (GBM) is typically accompanied by marked changes in lipid metabolism. Oxylipins and their catalyzed enzymes lipoxygenases (LOXs) have been shown to participate in the development of cancers via multiple pathways, while the understanding of LOXs in GBM remains enigmatic. Thus, we aimed to explore the expression and functional roles of LOXs in the development of GBM. Here we showed that ALOXE3 was markedly down-regulated in human GBM. Knockdown of ALOXE3 in GBM cells fostered the orthotopic tumor growth and shortened lifespan in mice. ALOXE3 deficiency rendered GBM cells resistant to p53-SLC7A11 dependent ferroptosis, promoting GBM cell survival. Mechanistically, miR-18a directly targeted ALOXE3 and suppressed its expression and functions in GBM cells. Furthermore, ALOXE3 silencing promoted 12-hydroxyeicosatetraenoic acids (12-HETE) secretion from GBM cells, in turn, 12-HETE enhanced migration of GBM cells by activating Gs-protein-coupled receptor (GsPCR)-PI3K-Akt pathway in an autocrine manner. Altogether, miR-18a/ALOXE3 axis exerts tumor promoting functions by regulating ferroptosis and migration of GBM cells. Targeting miR-18a/ALOXE3 axis may provide novel therapeutic approaches for GBM treatment.

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