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多中心生存分析及结合 Hyams 分级的嗅神经母细胞瘤分期改良的应用。

Multicenter Survival Analysis and Application of an Olfactory Neuroblastoma Staging Modification Incorporating Hyams Grade.

机构信息

Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota.

Department of Otolaryngology-Head and Neck Surgery, Oregon Health & Science University, Portland, Oregon.

出版信息

JAMA Otolaryngol Head Neck Surg. 2023 Sep 1;149(9):837-844. doi: 10.1001/jamaoto.2023.1939.

Abstract

IMPORTANCE

Current olfactory neuroblastoma (ONB) staging systems inadequately delineate locally advanced tumors, do not incorporate tumor grade, and poorly estimate survival and recurrence.

OBJECTIVE

The primary aims of this study were to (1) examine the clinical covariates associated with survival and recurrence of ONB in a modern-era multicenter cohort and (2) incorporate Hyams tumor grade into existing staging systems to assess its ability to estimate survival and recurrence.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective, multicenter, case-control study included patients with ONB who underwent treatment between January 1, 2005, and December 31, 2021, at 9 North American academic medical centers.

INTERVENTION

Standard-of-care ONB treatment.

MAIN OUTCOME AND MEASURES

The main outcomes were overall survival (OS), disease-free survival (DFS), and disease-specific survival (DSS) as C statistics for model prediction.

RESULTS

A total of 256 patients with ONB (mean [SD] age, 52.0 [15.6] years; 115 female [44.9%]; 141 male [55.1%]) were included. The 5-year rate for OS was 83.5% (95% CI, 78.3%-89.1%); for DFS, 70.8% (95% CI, 64.3%-78.0%); and for DSS, 94.1% (95% CI, 90.5%-97.8%). On multivariable analysis, age, American Joint Committee on Cancer (AJCC) stage, involvement of bilateral maxillary sinuses, and positive margins were associated with OS. Only AJCC stage was associated with DFS. Only N stage was associated with DSS. When assessing the ability of staging systems to estimate OS, the best-performing model was the novel modification of the Dulguerov system (C statistic, 0.66; 95% CI, 0.59-0.76), and the Kadish system performed most poorly (C statistic, 0.57; 95% CI, 0.50-0.63). Regarding estimation of DFS, the modified Kadish system performed most poorly (C statistic, 0.55; 95% CI, 0.51-0.66), while the novel modification of the AJCC system performed the best (C statistic, 0.70; 95% CI, 0.66-0.80). Regarding estimation of DSS, the modified Kadish system was the best-performing model (C statistic, 0.79; 95% CI, 0.70-0.94), and the unmodified Kadish performed the worst (C statistic, 0.56; 95% CI, 0.51-0.68). The ability for novel ONB staging systems to estimate disease progression across stages was also assessed. In the novel Kadish staging system, patients with stage VI disease were approximately 7 times as likely to experience disease progression as patients with stage I disease (hazard ratio [HR], 6.84; 95% CI, 1.60-29.20). Results were similar for the novel modified Kadish system (HR, 8.99; 95% CI, 1.62-49.85) and the novel Dulguerov system (HR, 6.86; 95% CI, 2.74-17.18).

CONCLUSIONS AND RELEVANCE

The study findings indicate that 5-year OS for ONB is favorable and that incorporation of Hyams grade into traditional ONB staging systems is associated with improved estimation of disease progression.

摘要

重要性

当前的嗅神经母细胞瘤(ONB)分期系统不能充分描绘局部晚期肿瘤,不包括肿瘤分级,并且对生存和复发的估计也很差。

目的

本研究的主要目的是(1)在一个现代多中心队列中检查与 ONB 生存和复发相关的临床协变量,(2)将 Hyams 肿瘤分级纳入现有分期系统,以评估其估计生存和复发的能力。

设计、地点和参与者:这是一项回顾性、多中心、病例对照研究,纳入了 2005 年 1 月 1 日至 2021 年 12 月 31 日在北美 9 个学术医疗中心接受治疗的 ONB 患者。

干预措施

ONB 的标准治疗。

主要观察指标

主要结局是整体生存(OS)、无病生存(DFS)和疾病特异性生存(DSS),作为模型预测的 C 统计量。

结果

共纳入 256 例 ONB 患者(平均[标准差]年龄 52.0[15.6]岁;女性 115 例[44.9%];男性 141 例[55.1%])。OS 的 5 年率为 83.5%(95%CI,78.3%-89.1%);DFS 为 70.8%(95%CI,64.3%-78.0%);DSS 为 94.1%(95%CI,90.5%-97.8%)。多变量分析显示,年龄、美国癌症联合委员会(AJCC)分期、双侧上颌窦受累和切缘阳性与 OS 相关。只有 AJCC 分期与 DFS 相关。只有 N 分期与 DSS 相关。在评估分期系统估计 OS 的能力时,表现最好的模型是 Dulguerov 系统的新修改版本(C 统计量,0.66;95%CI,0.59-0.76),而 Kadish 系统表现最差(C 统计量,0.57;95%CI,0.50-0.63)。关于 DFS 的估计,改良的 Kadish 系统表现最差(C 统计量,0.55;95%CI,0.51-0.66),而 AJCC 系统的新修改版本表现最好(C 统计量,0.70;95%CI,0.66-0.80)。关于 DSS 的估计,改良的 Kadish 系统是表现最好的模型(C 统计量,0.79;95%CI,0.70-0.94),未修改的 Kadish 系统表现最差(C 统计量,0.56;95%CI,0.51-0.68)。还评估了新的 ONB 分期系统估计疾病跨期进展的能力。在新的 Kadish 分期系统中,与 I 期疾病患者相比,VI 期疾病患者发生疾病进展的可能性大约高 7 倍(风险比[HR],6.84;95%CI,1.60-29.20)。对于新的改良 Kadish 系统(HR,8.99;95%CI,1.62-49.85)和新的 Dulguerov 系统(HR,6.86;95%CI,2.74-17.18),结果相似。

结论和相关性

研究结果表明,ONB 的 5 年 OS 是有利的,并且将 Hyams 分级纳入传统的 ONB 分期系统与疾病进展的估计改善相关。

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