包括GARD在内的临床遗传学模型可预测放射治疗的HPV+口咽鳞状细胞癌患者的预后。

Emily Ho, Loris De Cecco, Steven A Eschrich, Stefano Cavalieri, Geoffrey Sedor, Frank Hoebers, Ruud H Brakenhoff, Kathrin Scheckenbach, Tito Poli, Kailin Yang, Jessica A Scarborough, Shivani Nellore, Shauna Campbell, Neil Woody, Tim Chan, Jacob Miller, Natalie Silver, Shlomo Koyfman, James Bates, Jimmy J Caudell, Michael W Kattan, Lisa Licitra, Javier F Torres-Roca, Jacob G Scott
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引用次数: 0

摘要

背景:口咽鳞状细胞癌(OPSCC)的治疗决策包括临床分期、HPV状态和吸烟史。尽管AJCC第8版(AJCC8)通过分离HPV阳性和阴性OPSCC改善了分期,但患者在很大程度上采用了统一的方法进行治疗,最近的努力集中在低风险患者的去强化治疗上。我们之前在一项汇总分析中表明,基因组调整辐射剂量(GARD)可以预测辐射治疗的益处,并可用于指导RT剂量的选择。我们假设GARD可用于预测接受放疗(RT)的HPV阳性OPSCC患者的总生存期(OS),前瞻性/回顾性观察性研究,包括AJCC第7版III期IVb患者。GARD是衡量RT治疗效果的指标,如前所述为每位患者计算。总的来说,191名患者接受了初级RT明确治疗(单独放化疗或RT,43名患者接受术后RT。两次RT剂量分级用于初级RT病例(35次70 Gy或33次69.96 Gy)。原发性RT确定病例的中位RT剂量为70 Gy(范围50.88-74),术后RT病例的中位数RT剂量为66 Gy(范44-70)。中位随访时间为46.2个月(95%CI,33.5-63.1)。将GARD作为连续和二分变量进行Cox比例风险分析,并将GARD的表现与NRG临床诺模图进行总生存率的时间依赖性ROC分析。结果:尽管辐射剂量利用率一致,GARD显示出显著的异质性(范围30-110),反映了队列中潜在的基因组差异。在多变量分析中,与AJCC8(HR=1.99(0.791,5.047),p=0.013)相比,GARD的每单位增加与OS的改善有关(HR=0.951(0.911,0.993),p=0.023)。36个月时GARD的ROC分析得出AUC为80。6(69.4,91.9),而NRG临床列线图的AUC为73.6(55.4,91.7)。GARD≥64.2与OS改善相关(HR=0.280(0.100,0.781),p=0.015)。在一项虚拟试验中,GARD预测均匀的RT剂量递减会导致总体较差的OS,但提出了两种单独的基因组策略,在GARD选择的人群中选择性的RT剂量递增会导致临床平衡。结论:在这个HPV阳性OPSCC患者的多机构队列中,GARD预测OS是一个连续变量,优于NRG列线图,并为现代临床试验设计提供了一种新的基因组策略。我们建议将GARD纳入HPV阳性OPSCC患者的诊断检查中,它为基因组引导的辐射剂量个性化提供了第一次机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Personalization of Radiotherapy Dose in HPV Positive Oropharynx Cancer Using GARD.

Personalization of Radiotherapy Dose in HPV Positive Oropharynx Cancer Using GARD.

Personalization of Radiotherapy Dose in HPV Positive Oropharynx Cancer Using GARD.

Personalization of Radiotherapy Dose in HPV Positive Oropharynx Cancer Using GARD.

A central clinical goal for patients with HPV-positive oropharynx cancer has been to reduce radiation doses while maintaining cure rates. Recent results of Phase 3 prospective trial HN005 demonstrated that RT dose de-escalation can not be safely done based on clinical factors alone. We have previously shown that the genomic adjusted radiation dose (GARD) is predictive of radiation treatment benefit and can be used to guide RT dose selection. We hypothesize that GARD can be used to guide RT dose de-escalation in HPV-positive OPSCC patients. Gene expression was analyzed for 191 formalin-fixed paraffin-embedded samples from HPV-positive OPSCC patients within an international, multi-institutional, prospective/retrospective observational study including patients with AJCC 8th edition stage I-III. Two RT dose fractionations were utilized for the majority of primary RT cases (70 Gy in 35 fractions or 69.96 Gy in 33 fractions). Median RT dose was 70 Gy (range 51.0-74.0), survival at 36 months and 60 months was 94.1% and 87.3%, respectively. Cox proportional hazards analyses were performed with GARD as a continuous variable and time-dependent ROC analyses compared the performance of GARD to clinical variables alone. Despite near-uniform RT dosing, GARD reveals significant heterogeneity (range 15.4 - 71.7) in predicted effect. In univariate analysis, GARD was associated with an improvement in OS (HR = 0.941 (0.888, 0.998), p = 0.041). In multivariable analysis, each unit increase in GARD was associated with an improvement in OS (HR = 0.943 (0.891, 0.999), p = 0.046) where stage was not (T stage HR = 1.992 (0.711-5.576), p=0.190, N stage HR = 2.367 (0.867-6.460), p=0.093). ROC analysis for GARD at 36 months yielded an AUC of 78.26 (65.14, 91.38) compared with 71.20 (54.47, 87.93) for standard clinical variables. We identify two GARD-based strategies to RT dose personalization which are predicted to yield improved clinical outcomes, while delivering an average lower RT dose. In this multi-institutional cohort of patients with HPV-positive OPSCC, GARD associates with OS, outperforms standard clinical variables and provides a novel genomic strategy to RT dose personalization. We propose that GARD should be incorporated in the diagnostic workup of HPV-positive OPSCC patients.

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