A theoretical quantitative model for evolution of cancer chemotherapy resistance - Wikidata - awgldk - TriplyDB

A theoretical quantitative model for evolution of cancer chemotherapy resistance

A theoretical quantitative model for evolution of cancer chemotherapy resistance

http://www.wikidata.org/entity/Q40516956

about

Conciliation biology: the eco-evolutionary management of permanently invaded biotic systems Integrated PK-PD and agent-based modeling in oncology Estimating dose painting effects in radiotherapy: a mathematical model Can oncology recapitulate paleontology? Lessons from species extinctions Evolutionary medicine: its scope, interest and potential Applying evolutionary biology to address global challenges.Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression.Evolution of acquired resistance to anti-cancer therapy.The origins of cancer robustness and evolvability.Natural resistance to cancers: a Darwinian hypothesis to explain Peto's paradox.Simulating cancer growth with multiscale agent-based modeling Mathematical modelling of the pathogenesis of multiple myeloma-induced bone disease.Episensitization: Defying Time's Arrow How to Use a Chemotherapeutic Agent When Resistance to It Threatens the Patient.Cancer as a moving target: understanding the composition and rebound growth kinetics of recurrent tumors.Generalized principles of stochasticity can be used to control dynamic heterogeneity TrAp: a tree approach for fingerprinting subclonal tumor composition.Microenvironmental Niches and Sanctuaries: A Route to Acquired Resistance.A preclinical assay for chemosensitivity in multiple myeloma.Exploiting ecological principles to better understand cancer progression and treatment.Limiting the development of anti-cancer drug resistance in a spatial model of micrometastases Evolutionary scalpels for dissecting tumor ecosystems.Emergent properties of a computational model of tumour growth.Evolution and cancer: a mathematical biology approach Spatial competition constrains resistance to targeted cancer therapy.Targeting the T-Lak cell originated protein kinase by OTS964 shrinks the size of power-law coded heterogeneous glioma stem cell populations.The effect of intrinsic and acquired resistances on chemotherapy effectiveness.Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer.Community interactions and spatial structure shape selection on antibiotic resistant lineages.A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer

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P2860

A theoretical quantitative model for evolution of cancer chemotherapy resistance

http://www.wikidata.org/entity/Q40516956

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2010 nî lūn-bûn

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2010年の論文

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2010年論文

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2010年論文

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2010年论文

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2010年论文

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A theoretical quantitative model for evolution of cancer chemotherapy resistance

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A theoretical quantitative model for evolution of cancer chemotherapy resistance

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A theoretical quantitative model for evolution of cancer chemotherapy resistance

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A theoretical quantitative model for evolution of cancer chemotherapy resistance

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Ariosto S Silva

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Robert A Gatenby

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P2860

Hypoxia and oxidative stress in breast cancer. Oxidative stress: its effects on the growth, metastatic potential and response to therapy of breast cancer.

Doxorubicin gradients in human breast cancer.

Oxygen diffusion and reaction kinetics in the photodynamic therapy of multicell tumour spheroids.

Drug resistance mediated by cellular stress response to the microenvironment of solid tumors.

Caloric restriction in primates and relevance to humans.

Drug resistance in cancer: a perspective.

Adaptive therapy.

Multidrug resistance in cancer therapy: role of the microenvironment.

2-Methoxyoestradiol-3,17-O,O-bis-sulphamate and 2-deoxy-D-glucose in combination: a potential treatment for breast and prostate cancer.

The bone marrow microenvironment as a tumor sanctuary and contributor to drug resistance.

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