Alzibdeh Abdulla, Abuhijlih Ramiz, Abuhijla Fawzi
Department of Radiation Oncology, King Hussein Cancer Center, Amman 11941, Jordan.
Mol Clin Oncol. 2024 Oct 22;21(6):97. doi: 10.3892/mco.2024.2795. eCollection 2024 Dec.
Breast cancer radiotherapy has evolved significantly, driven by decades of research into fractionation schedules aimed at optimizing treatment efficacy and minimizing toxicity. Initial trials such as NSABP B-06 and EBCTCG meta-analyses established the benefits of adjuvant whole-breast irradiation in reducing local recurrence and improving survival rates. The linear-quadratic (LQ) model provided a framework to understand tissue response to radiation, highlighting the importance of the α/β ratio in determining fractionation sensitivity. The present scoping review aimed to identify and describe hypofractionation regimens for whole breast radiotherapy and evaluate dose differences using the LQ model across proposed α/β ratios. A comprehensive PubMed search for clinical trials published since 2010 on hypo-fractionated regimens was performed. Studies discussing α/β ratios for breast cancer have been also searched. Data on dose, fractions and α/β ratios were collected, and biologically effective dose (BED) and equivalent dose in 2 Gy fractions were calculated. The coefficient of variation for BED varied with α/β ratios, showing the lowest variability for an α/β ratio of ~3 without tumor repopulation and increased with repopulation (BED-kT; k is a constant that depends on the repopulation rate of the tumor, and T is the total treatment time in days). Significant differences in BED variances were observed across α/β ratios (F-statistic 219.6, P<0.0001). START trials (P, A, and B) established α/β ratios of 3-4 Gy for breast cancer and normal tissues, confirming that hypofractionation is as effective as standard fractionation with potentially fewer late toxicities. Subsequent trials, such as FAST and FAST-Forward, demonstrated that ultra-hypofractionation is equivalent in tumor compared with conventional regimens. Further research is needed to gain a stronger understanding of radiobiological properties of breast cancer cells. Advances in radiotherapy technologies and the integration of biomarkers, radiomics and genomics are transforming treatment, moving towards precision medicine.
在针对分割方案进行了数十年研究以优化治疗效果并将毒性降至最低的推动下,乳腺癌放疗有了显著进展。诸如NSABP B - 06和EBCTCG荟萃分析等初步试验确立了辅助性全乳照射在降低局部复发率和提高生存率方面的益处。线性二次(LQ)模型提供了一个理解组织对辐射反应的框架,突出了α/β比值在确定分割敏感性方面的重要性。本综述旨在识别和描述全乳放疗的大分割方案,并使用LQ模型评估在不同提议的α/β比值下的剂量差异。对自2010年以来发表的关于大分割方案的临床试验进行了全面的PubMed搜索。还搜索了讨论乳腺癌α/β比值的研究。收集了关于剂量、分割次数和α/β比值的数据,并计算了生物等效剂量(BED)和2 Gy分割等效剂量。BED的变异系数随α/β比值而变化,在没有肿瘤再增殖的情况下,α/β比值约为3时变异最小,随着再增殖而增加(BED - kT;k是一个取决于肿瘤再增殖率的常数,T是以天为单位的总治疗时间)。在不同α/β比值之间观察到BED方差存在显著差异(F统计量219.6,P < 0.0001)。START试验(P、A和B)确定乳腺癌和正常组织的α/β比值为3 - 4 Gy,证实大分割与标准分割一样有效,且潜在的晚期毒性可能更少。随后的试验,如FAST和FAST - Forward,表明与传统方案相比,超分割在肿瘤方面是等效的。需要进一步研究以更深入地了解乳腺癌细胞的放射生物学特性。放疗技术的进步以及生物标志物、放射组学和基因组学的整合正在改变治疗方式,朝着精准医学发展。