ArticleScientific reports2017
Prediction of Treatment Response for Combined Chemo- and Radiation Therapy for Non-Small Cell Lung Cancer Patients Using a Bio-Mathematical Model.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Translational tumor control probability modeling for NSCLC: A two-dimensional maximum-likelihood framework.Medical physics · 2026Article
- A perspective on individualized treatment effects estimation from time-series health data.Journal of the American Medical Informatics Association : JAMIA · 2026Review
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- Mathematical modeling of the synergetic effect between radiotherapy and immunotherapy.Mathematical biosciences and engineering : MBE · 2025Article
- Proper likelihood functions for parameter estimation in S-shaped models of unperturbed tumor growth.Scientific reports · 2025Article
- Modeling of chemo-radiotherapy targeting growing vascular tumors: A continuum-level approach.PloS one · 2025Article
- Uncertainty Quantification for Conditional Treatment Effect Estimation under Dynamic Treatment Regimes.Proceedings of machine learning research · 2024Article
- G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes.Proceedings of machine learning research · 2024Article
- Predicting efficacy assessment of combined treatment of radiotherapy and nivolumab for NSCLC patients through virtual clinical trials using QSP modeling.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Aerobic Exercise Improves Radiation Therapy Efficacy in Non-Small Cell Lung Cancer: Preclinical Study Using a Xenograft Mouse Model.International journal of molecular sciences · 2024Article
- Simulating Interclonal Interactions in Diffuse Large B-Cell Lymphoma.Bioengineering (Basel, Switzerland) · 2023Article
- Mathematical Modeling of Non-Small-Cell Lung Cancer Biology through the Experimental Data on Cell Composition and Growth of Patient-Derived Organoids.Life (Basel, Switzerland) · 2023Article
- Mathematical Modeling Support for Lung Cancer Therapy-A Short Review.International journal of molecular sciences · 2023Review
- Radio-immune response modelling for spatially fractionated radiotherapy.Physics in medicine and biology · 2023Article
- Article
- Optimizing the future: how mathematical models inform treatment schedules for cancer.Trends in cancer · 2022Review
- Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin.Frontiers in molecular biosciences · 2022Article
- A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy ParameterizedFrontiers in oncology · 2022Article
- Fractal-fractional and stochastic analysis of norovirus transmission epidemic model with vaccination effects.Scientific reports · 2021Article
- Survival Analysis of Cervical Cancer Patients: A Case Study of Bhutan.Asian Pacific journal of cancer prevention : APJCP · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The goal of this work was to develop a mathematical model to predict Kaplan-Meier survival curves for chemotherapy combined with radiation in Non-Small Cell Lung Cancer patients for use in clinical trial design. The Gompertz model was used to describe tumor growth, radiation effect was simulated by the linear-quadratic model with an α/β-ratio of 10, and chemotherapy effect was based on the log-cell kill model. To account for repopulation during treatment, we considered two independent methods: 1) kickoff-repopulation using exponential growth with a decreased volume doubling time, or 2) Gompertz-repopulation using the gradually accelerating growth rate with tumor shrinkage. The input parameters were independently estimated by fitting to the SEER database for untreated tumors, RTOG-8808 for radiation only, and RTOG-9410 for sequential chemo-radiation. Applying the model, the benefit from concurrent chemo-radiation comparing to sequential for stage III patients was predicted to be a 6.6% and 6.2% improvement in overall survival for 3 and 5-years respectively, comparing well to the 5.3% and 4.5% observed in RTOG-9410. In summary, a mathematical model was developed to model tumor growth over extended periods of time, and can be used for the optimization of combined chemo-radiation scheduling and sequencing.
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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 OpenQuestion graph.