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基因组注释风险模型在晚期肾细胞癌中的应用:一项回顾性队列研究。

Genomically annotated risk model for advanced renal-cell carcinoma: a retrospective cohort study.

机构信息

Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA.

出版信息

Lancet Oncol. 2018 Dec;19(12):1688-1698. doi: 10.1016/S1470-2045(18)30648-X. Epub 2018 Nov 8.

Abstract

BACKGROUND

The Memorial Sloan Kettering Cancer Center (MSKCC) risk model is an established prognostic tool for metastatic renal-cell carcinoma that integrates clinical and laboratory data, but is agnostic to tumour genomics. Several mutations, including BAP1 and PBRM1, have prognostic value in renal-cell carcinoma. Using two independent clinical trial datasets of patients with metastatic renal-cell carcinoma, we aimed to study whether the addition of the mutation status for several candidate prognostic genes to the MSKCC model could improve the model's prognostic performance.

METHODS

In this retrospective cohort study, we used available formalin-fixed paraffin-embedded tumour tissue and clinical outcome data from patients with metastatic renal-cell carcinoma assigned to treatment with tyrosine kinase inhibitors in the COMPARZ trial (training cohort; n=357) and RECORD-3 trial (validation cohort; n=258). Eligible patients in both trials were treatment-naive; had histologically confirmed, advanced, or metastatic renal-cell carcinoma; and a Karnofsky performance status score of at least 70. For each cohort, data from patients in all treatment groups (sunitinib and pazopanib in the training cohort, and everolimus and sunitinib in the validation cohort) were pooled for this analysis. In the training cohort, tumour tissue was used to evaluate somatic mutations by next-generation sequencing, and the association between cancer-specific outcomes (overall survival, progression-free survival, and overall response) and the mutation status of six genes of interest (BAP1, PBRM1, TP53, TERT, KDM5C, and SETD2) was tested. Only those genes with prognostic value in this setting were added to the MSKCC risk model to create a genomically annotated version. The validation cohort was used to independently test the prognostic value of the annotated model compared with the original MSKCC risk model.

FINDINGS

357 (32%) of 1110 patients assigned to protocol treatment in the COMPARZ study between August, 2008, and September, 2011, were evaluable for mutation status and clinical outcomes in the training cohort. The independent validation cohort included 258 (55%) of 471 evaluable patients, enrolled between October, 2009, and June, 2011, on the RECORD-3 study. In the training cohort, the presence of any mutation in BAP1 or TP53, or both, and absence of any mutation in PBRM1 were prognostic in terms of overall survival (TP53/BAP1, TP53/BAP1 o TP53/BAP1 vs TP53/BAP1 hazard ratio [HR] 1·57, 95% CI 1·21-2·04; p=0·0008; PBRM1 vs PBRM, HR 1·58, 1·16-2·14; p=0·0035). The mutation status for these three prognostic genes were added to the original MSKCC risk model to create a genomically annotated version. Distribution of participants in the training cohort into the three risk groups of the original MSKCC model changed from 87 (24%) of 357 patients deemed at favourable risk, 217 (61%) at intermediate risk, and 53 (15%) at poor risk, to distribution across four risk groups in the genomically annotated risk model, with 36 (10%) of 357 deemed at favourable risk, 77 (22%) at good risk, 108 (30%) at intermediate risk, and 136 (38%) at poor risk. Addition of genomic information improved model performance for predicting overall survival (C-index: original model, 0·595 [95% CI 0·557-0·634] vs new model, 0·637 [0·595-0·679]) and progression-free survival (0·567 [95% CI 0·529-0·604] vs 0·602 [0·560-0·643]) with adequate discrimination of the proportion of patients who achieved an objective response (Cochran-Armitage one-sided p=0·0014). Analyses in the validation cohort confirmed the superiority of the genomically annotated risk model over the original version.

INTERPRETATION

The mutation status of BAP1, PBRM1, and TP53 has independent prognostic value in patients with advanced or metastatic renal-cell carcinoma treated with first-line tyrosine kinase inhibitors. Improved stratification of patients across risk groups by use of a genomically annotated model including the mutational status of these three genes warrants further investigation in prospective trials and could be of use as a model to stratify patients with metastatic renal-cell carcinoma in clinical trials.

FUNDING

Novartis Pharmaceuticals Corporation, MSKCC Support Grant/Core Grant, and the J Randall & Kathleen L MacDonald Research Fund.

摘要

背景

纪念斯隆-凯特琳癌症中心(MSKCC)风险模型是一种已确立的转移性肾细胞癌预后工具,它整合了临床和实验室数据,但与肿瘤基因组学无关。几种突变,包括 BAP1 和 PBRM1,在肾细胞癌中具有预后价值。使用转移性肾细胞癌患者的两个独立临床试验数据集,我们旨在研究候选预后基因的突变状态是否可以改善 MSKCC 模型的预后性能。

方法

在这项回顾性队列研究中,我们使用了转移性肾细胞癌患者的可用福尔马林固定石蜡包埋肿瘤组织和临床结局数据,这些患者被分配接受酪氨酸激酶抑制剂治疗COMPARZ 试验(训练队列;n=357)和 RECORD-3 试验(验证队列;n=258)。两项试验中的合格患者均为初治;组织学证实为晚期或转移性肾细胞癌;且卡诺夫斯基表现状态评分至少为 70。对于每个队列,来自所有治疗组(训练队列中的舒尼替尼和帕唑帕尼,验证队列中的依维莫司和舒尼替尼)的患者数据均用于此分析。在训练队列中,使用下一代测序评估肿瘤组织的体细胞突变,并且癌症特异性结局(总生存期、无进展生存期和总缓解)与六个感兴趣基因(BAP1、PBRM1、TP53、TERT、KDM5C 和 SETD2)的突变状态之间的关联进行了测试。仅在该环境中具有预后价值的那些基因被添加到 MSKCC 风险模型中以创建基因组注释版本。验证队列用于独立测试注释模型与原始 MSKCC 风险模型的预后价值。

结果

2008 年 8 月至 2011 年 9 月期间,在 COMPARZ 研究中接受方案治疗的 1110 名患者中的 357 名(32%)可用于训练队列中的突变状态和临床结局评估。独立验证队列包括 2009 年 10 月至 2011 年 6 月期间在 RECORD-3 研究中入组的 471 名可评估患者中的 258 名(55%)。在训练队列中,BAP1 或 TP53 或两者存在任何突变,并且不存在 PBRM1 突变与总生存期相关(TP53/BAP1、TP53/BAP1 o TP53/BAP1 与 TP53/BAP1 的 HR 1.57,95%CI 1.21-2.04;p=0.0008;PBRM1 与 PBRM,HR 1.58,1.16-2.14;p=0.0035)。这些三个预后基因的突变状态被添加到原始 MSKCC 风险模型中以创建基因组注释版本。原始 MSKCC 风险模型中 357 名参与者的分布情况发生了变化,从被认为风险低的 357 名患者中的 87 名(24%),风险中等的 217 名(61%),风险高的 53 名(15%),改变为基因组注释风险模型中的四个风险组,其中 36 名(10%)被认为风险低,77 名(22%)风险好,108 名(30%)风险中等,136 名(38%)风险高。加入基因组信息可提高预测总生存期的模型性能(原始模型的 C 指数:0.595 [95%CI 0.557-0.634] 与新模型的 0.637 [0.595-0.679])和无进展生存期(0.567 [95%CI 0.529-0.604] 与 0.602 [0.560-0.643]),并能充分区分达到客观缓解的患者比例(Cochran-Armitage 单侧检验 p=0.0014)。验证队列中的分析证实了基因组注释风险模型优于原始版本。

解释

BAP1、PBRM1 和 TP53 的突变状态在接受一线酪氨酸激酶抑制剂治疗的晚期或转移性肾细胞癌患者中具有独立的预后价值。使用包括这三个基因突变状态的基因组注释模型对患者进行风险组的更好分层,需要在前瞻性试验中进一步研究,并可能有助于作为临床试验中转移性肾细胞癌患者分层的模型。

资金

诺华制药公司、MSKCC 支持赠款/核心赠款以及 Randall 和 Kathleen L MacDonald 研究基金。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c583/6701184/cdddb23fe041/nihms-1045819-f0001.jpg

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