Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Anti-cancer treatment schedule optimization based on tumor dynamics modelling incorporating evolving resistance.

Scientific reports - 10 Mar 2022

Yin Anyue, van Hasselt Johan G C, Guchelaar Henk-Jan, Friberg Lena E, Moes Dirk Jan A R

Abstract excerpt

Quantitative characterization of evolving tumor resistance under targeted treatment could help identify novel treatment schedules, which may improve the outcome of anti-cancer treatment. In this study, a mathematical model which considers various clonal populations and evolving treatment resistance was developed. With parameter values fitted to the data or informed by literature data, the model could capture...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biomarkers, Tumor
Share to Circulating Tumor DNA

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Colorectal Neoplasms

Share to Mutation

Share to Treatment Outcome

Source

Open in PubMed Open full text

Identifiers

PMID: 35273301
DOI: 10.1038/s41598-022-08012-7
PMCID: PMC8913638

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Anti-cancer treatment schedule optimization based on tumor dynamics modelling incorporating evolving resistance.PMID 35273301Read ↗

Novel computational method for predicting polytherapy switching strategies to overcome tumor heterogeneity and evolutionSemantic proximity Read ↗

Understanding the potential benefits of adaptive therapy for metastatic melanomaSemantic proximity Read ↗

Deriving Optimal Treatment Timing for Adaptive Therapy: Matching the Model to the Tumor DynamicsSemantic proximity Read ↗

Evolution of Resistance to Targeted Anti-Cancer Therapies during Continuous and Pulsed Administration StrategiesSemantic proximity Read ↗

Phenotypic switching as a non-genetic mechanism of resistance predicts antibody therapy regimensSemantic proximity Read ↗

Evolutionary dynamics of cancer in response to targeted combination therapy.Semantic proximity Read ↗

Dynamic nature of BRAF or KRAS p.G12C mutations in second-line therapy for advanced colorectal cancer patients: do early and late effects exist?Semantic proximity Read ↗

Feasibility of an Evolutionary Tumor Board for Generating Novel Personalized Therapeutic StrategiesSemantic proximity Read ↗

Adaptive Therapy Exploits Fitness Deficits in Chemotherapy-Resistant Ovarian Cancer to Achieve Long-Term Tumor ControlSemantic proximity Read ↗

Feasibility of an Evolutionary Tumor Board for Generating Novel Personalized Therapeutic StrategiesSemantic proximity Read ↗

Dynamic molecular analysis and clinical correlates of tumor evolution within a phase II trial of panitumumab-based therapy in metastatic colorectal cancer.Semantic proximity Read ↗

Spatial Heterogeneity and Evolutionary Dynamics Modulate Time to Recurrence in Continuous and Adaptive Cancer Therapies.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.