Literature DB >> 32853707

Breast Cancer Molecular Subtype as a Predictor of Radiation Therapy Fractionation Sensitivity.

Nafisha Lalani1, K David Voduc2, Rachel B Jimenez3, Nathalie Levasseur4, Lovedeep Gondara5, Caroline Speers5, Caroline Lohrisch4, Alan Nichol2.   

Abstract

PURPOSE: The predictive benefit of breast cancer molecular subtypes for systemic therapy approaches has been well established; yet, there is a paucity of data regarding their use as a predictor of radiation therapy fractionation sensitivity. The purpose of this study was to determine whether rates of local recurrence (LR) for patients treated with hypofractionated (HF) radiation therapy, in comparison to conventional fractionation, differ across breast cancer molecular subtypes in a large, prospectively collected cohort treated with modern systemic therapy. METHODS AND MATERIALS: Patients who received a diagnosis of stage I-III breast cancer between 2005 and 2009 were identified. Molecular subtype was determined using the American Joint Committee on Cancer classification system (luminal-A, luminal-B, HER2+, triple negative [TN]). Multivariable Cox regression modeling was used to identify predictors of LR. LR-free-survival (LRFS) was determined using the Kaplan-Meier method and compared using the log-rank test.
RESULTS: A total of 5868 cases were identified with a median follow-up of 10.8 years. Patients with luminal-A subtype composed 45% of the cohort (n = 2628), compared with 30% luminal-B (n = 1734), 15% HER2+ (n = 903), and 10% TN (n = 603). A total of 76% (n = 4429) of patients were treated with HF. The 10-year LRFS was 97.1% (95% confidence interval [CI], 96.6-97.6) for the whole cohort. The 10-year LRFS based on molecular subtypes was 98.3% (95% CI, 97.6-98.7) luminal-A, 96.6% (95% CI, 95.5-97.4) luminal-B, 97.0% (95% CI, 95.5-98.0) HER2+, and 93.5% (95% CI, 91.1-95.3) TN (P < .001). There was no difference in the 10-year LRFS between patients treated with HF versus conventional fractionation among those with luminal-A (98.2% vs 98.4%; P = .42), luminal-B (96.6% vs 96.8%; P = .90), HER2+ (97.5% vs 95.8%; P = .12), or TN (93.9% vs 92.2%; P = .47). There was no significant interaction between subtype and fractionation regimen.
CONCLUSIONS: These data support the routine use of hypofractionated radiation therapy regimens across all breast cancer subtypes.
Copyright © 2020 Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32853707     DOI: 10.1016/j.ijrobp.2020.08.038

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  3 in total

1.  Disease Control After Hypofractionation Versus Conventional Fractionation for Triple Negative Breast Cancer: Comparative Effectiveness in a Large Observational Cohort.

Authors:  Reshma Jagsi; Kent A Griffith; Frank A Vicini; Eyad Abu-Isa; Derek Bergsma; Amit Bhatt; Joshua T Dilworth; Michael Dominello; Stephen Franklin; David K Heimburger; Isaac Kaufman; Paul G Kocheril; Annette E Kretzler; Peter Paximadis; Jeffrey D Radawski; Eleanor M Walker; Lori Pierce
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-10-28       Impact factor: 7.038

Review 2.  Genomic biomarkers to guide precision radiotherapy in prostate cancer.

Authors:  Philip Sutera; Matthew P Deek; Kim Van der Eecken; Alexander W Wyatt; Amar U Kishan; Jason K Molitoris; Matthew J Ferris; M Minhaj Siddiqui; Zaker Rana; Mark V Mishra; Young Kwok; Elai Davicioni; Daniel E Spratt; Piet Ost; Felix Y Feng; Phuoc T Tran
Journal:  Prostate       Date:  2022-08       Impact factor: 4.012

3.  Real-World Practice of Hypofractionated Radiotherapy in Patients With Invasive Breast Cancer.

Authors:  Fang Chen; Timothy S K Hui; Lingyu Ma; Yaqing Nong; Ying Han; Haiman Jing; Eric K W Lee; Zhiyuan Xu; Pingfu Fu; Amy Tien Yee Chang; Victor Hsue; Feng-Ming Spring Kong
Journal:  Front Oncol       Date:  2022-02-03       Impact factor: 6.244

  3 in total

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