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Dose-Response Analysis Describes Particularly Rapid Repopulation of Non-Small Cell Lung Cancer during Concurrent Chemoradiotherapy.
Huang, Huei-Tyng; Nix, Michael G; Brand, Douglas H; Cobben, David; Hiley, Crispin T; Fenwick, John D; Hawkins, Maria A.
Afiliación
  • Huang HT; Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
  • Nix MG; Department of Medical Physics and Engineering, Leeds Cancer Centre, Leeds Teaching Hospitals NHS Foundation Trust, Leeds LS9 7TF, UK.
  • Brand DH; Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.
  • Cobben D; University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK.
  • Hiley CT; Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool CH63 4JY, UK.
  • Fenwick JD; Department of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool L69 3GF, UK.
  • Hawkins MA; University College London Hospitals NHS Foundation Trust, London NW1 2BU, UK.
Cancers (Basel) ; 14(19)2022 Oct 05.
Article en En | MEDLINE | ID: mdl-36230791
(1) Purpose: We analysed overall survival (OS) rates following radiotherapy (RT) and chemo-RT of locally-advanced non-small cell lung cancer (LA-NSCLC) to investigate whether tumour repopulation varies with treatment-type, and to further characterise the low α/ß ratio found in a previous study. (2) Materials and methods: Our dataset comprised 2-year OS rates for 4866 NSCLC patients (90.5% stage IIIA/B) belonging to 51 cohorts treated with definitive RT, sequential chemo-RT (sCRT) or concurrent chemo-RT (cCRT) given in doses-per-fraction ≤3 Gy over 16-60 days. Progressively more detailed dose-response models were fitted, beginning with a probit model, adding chemotherapy effects and survival-limiting toxicity, and allowing tumour repopulation and α/ß to vary with treatment-type and stage. Models were fitted using the maximum-likelihood technique, then assessed via the Akaike information criterion and cross-validation. (3) Results: The most detailed model performed best, with repopulation offsetting 1.47 Gy/day (95% confidence interval, CI: 0.36, 2.57 Gy/day) for cCRT but only 0.30 Gy/day (95% CI: 0.18, 0.47 Gy/day) for RT/sCRT. The overall fitted tumour α/ß ratio was 3.0 Gy (95% CI: 1.6, 5.6 Gy). (4) Conclusion: The fitted repopulation rates indicate that cCRT schedule durations should be shortened to the minimum in which prescribed doses can be tolerated. The low α/ß ratio suggests hypofractionation should be efficacious.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2022 Tipo del documento: Article Pais de publicación: Suiza