Assié Guillaume, Jouinot Anne, Fassnacht Martin, Libé Rossella, Garinet Simon, Jacob Louis, Hamzaoui Nadim, Neou Mario, Sakat Julien, de La Villéon Bruno, Perlemoine Karine, Ragazzon Bruno, Sibony Mathilde, Tissier Frédérique, Gaujoux Sébastien, Dousset Bertrand, Sbiera Silviu, Ronchi Cristina L, Kroiss Matthias, Korpershoek Esther, De Krijger Ronald, Waldmann Jens, Quinkler Marcus, Haissaguerre Magalie, Tabarin Antoine, Chabre Olivier, Luconi Michaela, Mannelli Massimo, Groussin Lionel, Bertagna Xavier, Baudin Eric, Amar Laurence, Coste Joel, Beuschlein Felix, Bertherat Jérôme
Institut Cochin, INSERM U1016, CNRS UMR8104, Paris Descartes University, Paris, France.
Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France.
JAMA Oncol. 2019 Oct 1;5(10):1440-1447. doi: 10.1001/jamaoncol.2019.1558.
The risk stratification of adrenocortical carcinoma (ACC) based on tumor proliferation index and stage is limited. Adjuvant therapy after surgery is recommended for most patients. Pan-genomic studies have identified distinct molecular groups closely associated with outcome.
To compare the molecular classification for prognostic assessment of ACC with other known prognostic factors.
DESIGN, SETTING, AND PARTICIPANTS: In this retrospective biomarker analysis, ACC tumor samples from 368 patients who had undergone surgical tumor removal were collected from March 1, 2005, to September 30, 2015 (144 in the training cohort and 224 in the validation cohort) at 21 referral centers with a median follow-up of 35 months (interquartile range, 18-74 months). Data were analyzed from March 2016 to March 2018.
Meta-analysis of pan-genomic studies (transcriptome, methylome, chromosome alteration, and mutational profiles) was performed on the training cohort. Targeted biomarker analysis, including targeted gene expression (BUB1B and PINK1), targeted methylation (PAX5, GSTP1, PYCARD, and PAX6), and targeted next-generation sequencing, was performed on the training and validation cohorts.
Disease-free survival. Cox proportional hazards regression and C indexes were used to assess the prognostic value of each model.
Of the 368 patients (mean [SD] age, 49 [16] years), 144 were in the training cohort (100 [69.4%] female) and 224 were in the validation cohort (142 [63.4%] female). In the training cohort, pan-genomic measures classified ACC into 3 molecular groups (A1, A2, and A3-B), with 5-year survival of 9% for group A1, 45% for group A2, and 82% for group A3-B (log-rank P < .001). Molecular class was an independent prognostic factor of recurrence in stage I to III ACC after complete surgery (hazard ratio, 55.91; 95% CI, 8.55-365.40; P < .001). The combination of European Network for the Study of Adrenal Tumors (ENSAT) stage, tumor proliferation index, and molecular class provided the most discriminant prognostic model (C index, 0.88). In the validation cohort, the molecular classification, determined by targeted biomarker measures, was confirmed as an independent prognostic factor of recurrence (hazard ratio, 5.96 [95% CI, 1.81-19.58], P = .003 for the targeted classifier combining expression, methylation, and chromosome alterations; and 2.61 [95% CI, 1.31-5.19], P = .006 for the targeted classifier combining methylation, chromosome alterations, and mutational profile). The prognostic value of the molecular markers was limited for patients with stage IV ACC.
The findings suggest that in localized ACC, targeted classifiers may be used as independent markers of recurrence. The determination of molecular class may improve individual prognostic assessment and thus may spare unnecessary adjuvant treatment.
基于肿瘤增殖指数和分期的肾上腺皮质癌(ACC)风险分层存在局限性。大多数患者术后建议进行辅助治疗。全基因组研究已确定了与预后密切相关的不同分子亚组。
比较ACC预后评估的分子分类与其他已知预后因素。
设计、设置和参与者:在这项回顾性生物标志物分析中,2005年3月1日至2015年9月30日期间,从21个转诊中心收集了368例接受手术切除肿瘤的ACC患者的肿瘤样本(训练队列144例,验证队列224例),中位随访时间为35个月(四分位间距为18 - 74个月)。2016年3月至2018年3月对数据进行分析。
对训练队列进行全基因组研究的荟萃分析(转录组、甲基化组、染色体改变和突变谱)。对训练队列和验证队列进行靶向生物标志物分析,包括靶向基因表达(BUB1B和PINK1)、靶向甲基化(PAX5、GSTP1、PYCARD和PAX6)以及靶向二代测序。
无病生存期。采用Cox比例风险回归和C指数评估每个模型的预后价值。
368例患者(平均[标准差]年龄为49[16]岁)中,144例在训练队列(100例[69.4%]为女性),224例在验证队列(142例[63.4%]为女性)。在训练队列中,全基因组测量将ACC分为3个分子亚组(A1、A2和A3 - B),A1组5年生存率为9%,A2组为45%,A3 - B组为82%(对数秩检验P <.001)。分子分类是I至III期ACC完全手术后复发的独立预后因素(风险比为55.91;95%置信区间为8.55 - 365.4;P <.001)。欧洲肾上腺肿瘤研究网络(ENSAT)分期、肿瘤增殖指数和分子分类的组合提供了最具判别力的预后模型(C指数为0.88)。在验证队列中,通过靶向生物标志物测量确定的分子分类被确认为复发的独立预后因素(风险比为5.96[95%置信区间为1.81 - 19.58],对于结合表达、甲基化和染色体改变的靶向分类器,P = 0.003;对于结合甲基化、染色体改变和突变谱的靶向分类器,风险比为2.61[95%置信区间为1.31 - 5.19],P = 0.006)。分子标志物对IV期ACC患者的预后价值有限。
研究结果表明,在局限性ACC中,靶向分类器可作为复发的独立标志物。分子分类的确定可能改善个体预后评估,从而避免不必要的辅助治疗。