The Fraction Size Sensitivity of Late Genitourinary Toxicity: Analysis of Alpha/Beta (α/β) Ratios in the CHHiP Trial.


Journal

International journal of radiation oncology, biology, physics
ISSN: 1879-355X
Titre abrégé: Int J Radiat Oncol Biol Phys
Pays: United States
ID NLM: 7603616

Informations de publication

Date de publication:
01 02 2023
Historique:
received: 09 06 2022
revised: 04 08 2022
accepted: 06 08 2022
pubmed: 20 8 2022
medline: 11 1 2023
entrez: 19 8 2022
Statut: ppublish

Résumé

Moderately hypofractionated external beam intensity modulated radiation therapy (RT) for prostate cancer is now standard-of-care. Normal tissue toxicity responses to fraction size alteration are nonlinear: the linear-quadratic model is a widely used framework accounting for this, through the α/β ratio. Few α/β ratio estimates exist for human late genitourinary endpoints; here we provide estimates derived from a hypofractionation trial. The CHHiP trial randomized 3216 men with localized prostate cancer 1:1:1 between conventionally fractionated intensity modulated RT (74 Gy/37 fractions (Fr)) and 2 moderately hypofractionated regimens (60 Gy/20 Fr and 57 Gy/19 Fr). RT plan and suitable follow-up assessment was available for 2206 men. Three prospectively assessed clinician-reported toxicity scales were amalgamated for common genitourinary endpoints: dysuria, hematuria, incontinence, reduced flow/stricture, and urine frequency. Per endpoint, only patients with baseline zero toxicity were included. Three models for endpoint grade ≥1 (G1+) and G2+ toxicity were fitted: Lyman Kutcher-Burman (LKB) without equivalent dose in 2 Gy/Fr (EQD2) correction [LKB-NoEQD2]; LKB with EQD2-correction [LKB-EQD2]; LKB-EQD2 with dose-modifying-factor (DMF) inclusion [LKB-EQD2-DMF]. DMFs were age, diabetes, hypertension, pelvic surgery, prior transurethral resection of prostate (TURP), overall treatment time and acute genitourinary toxicity (G2+). Bootstrapping generated 95% confidence intervals and unbiased performance estimates. Models were compared by likelihood ratio test. The LKB-EQD2 model significantly improved performance over LKB-NoEQD2 for just 3 endpoints: dysuria G1+ (α/β = 2.0 Gy; 95% confidence interval [CI], 1.2-3.2 Gy), hematuria G1+ (α/β = 0.9 Gy; 95% CI, 0.1-2.2 Gy) and hematuria G2+ (α/β = 0.6 Gy; 95% CI, 0.1-1.7 Gy). For these 3 endpoints, further incorporation of 2 DMFs improved on LKB-EQD2: acute genitourinary toxicity and prior TURP (hematuria G1+ only), but α/β ratio estimates remained stable. Inclusion of EQD2-correction significantly improved model fitting for dysuria and hematuria endpoints, where fitted α/β ratio estimates were low: 0.6 to 2 Gy. This suggests therapeutic gain for clinician-reported GU toxicity, through hypofractionation, might be lower than expected by typical late α/β ratio assumptions of 3 to 5 Gy.

Identifiants

pubmed: 35985457
pii: S0360-3016(22)03133-9
doi: 10.1016/j.ijrobp.2022.08.030
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

327-336

Subventions

Organisme : Cancer Research UK
ID : 12518
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 7253
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C1491/A9895
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C1491/A15955
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C1491/A25351
Pays : United Kingdom
Organisme : Cancer Research UK
ID : SP2312/021
Pays : United Kingdom
Organisme : Department of Health
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C33589/A19727
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C33589/A28284
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C7893/A28990
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C7224/A28724
Pays : United Kingdom

Informations de copyright

Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Douglas H Brand (DH)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Urology Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom; Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom. Electronic address: douglas.brand@icr.ac.uk.

Sarah C Brüningk (SC)

Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland; Swiss Institute for Bioinformatics (SIB), Lausanne, Switzerland.

Anna Wilkins (A)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Urology Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom.

Olivia Naismith (O)

Radiotherapy Trials QA Group (RTTQA), Royal Marsden NHS Foundation Trust, London, United Kingdom.

Annie Gao (A)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Urology Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom.

Isabel Syndikus (I)

Radiotherapy Department, Clatterbridge Cancer Centre, Liverpool, United Kingdom.

David P Dearnaley (DP)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Urology Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom.

Nicholas van As (N)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Urology Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom.

Emma Hall (E)

Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, United Kingdom.

Sarah Gulliford (S)

Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom; Department of Radiotherapy Physics, University College London Hospitals NHS Foundation Trust, London, United Kingdom.

Alison C Tree (AC)

Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Urology Unit, Royal Marsden NHS Foundation Trust, London, United Kingdom.

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