Johns Amber L, McKay Skye H, Humphris Jeremy L, Pinese Mark, Chantrill Lorraine A, Mead R Scott, Tucker Katherine, Andrews Lesley, Goodwin Annabel, Leonard Conrad, High Hilda A, Nones Katia, Patch Ann-Marie, Merrett Neil D, Pavlakis Nick, Kassahn Karin S, Samra Jaswinder S, Miller David K, Chang David K, Pajic Marina, Pearson John V, Grimmond Sean M, Waddell Nicola, Zeps Nikolajs, Gill Anthony J, Biankin Andrew V
Cancer Research Program, Garvan Institute of Medical Research, Kinghorn Cancer Centre, Sydney, Australia.
St Vincents Hospital, Darlinghurst, Australia.
Genome Med. 2017 Apr 28;9(1):41. doi: 10.1186/s13073-017-0430-4.
The return of research results (RoR) remains a complex and well-debated issue. Despite the debate, actual data related to the experience of giving individual results back, and the impact these results may have on clinical care and health outcomes, is sorely lacking. Through the work of the Australian Pancreatic Cancer Genome Initiative (APGI) we: (1) delineate the pathway back to the patient where actionable research data were identified; and (2) report the clinical utilisation of individual results returned. Using this experience, we discuss barriers and opportunities associated with a comprehensive process of RoR in large-scale genomic research that may be useful for others developing their own policies.
We performed whole-genome (n = 184) and exome (n = 208) sequencing of matched tumour-normal DNA pairs from 392 patients with sporadic pancreatic cancer (PC) as part of the APGI. We identified pathogenic germline mutations in candidate genes (n = 130) with established predisposition to PC or medium-high penetrance genes with well-defined cancer associated syndromes or phenotypes. Variants from candidate genes were annotated and classified according to international guidelines. Variants were considered actionable if clinical utility was established, with regard to prevention, diagnosis, prognostication and/or therapy.
A total of 48,904 germline variants were identified, with 2356 unique variants undergoing annotation and in silico classification. Twenty cases were deemed actionable and were returned via previously described RoR framework, representing an actionable finding rate of 5.1%. Overall, 1.78% of our cohort experienced clinical benefit from RoR.
Returning research results within the context of large-scale genomics research is a labour-intensive, highly variable, complex operation. Results that warrant action are not infrequent, but the prevalence of those who experience a clinical difference as a result of returning individual results is currently low.
研究结果的反馈(RoR)仍然是一个复杂且备受争议的问题。尽管存在争议,但严重缺乏与反馈个体结果的实际经验以及这些结果可能对临床护理和健康结局产生的影响相关的实际数据。通过澳大利亚胰腺癌基因组计划(APGI)的工作,我们:(1)描绘了将已识别的可操作研究数据反馈给患者的途径;(2)报告了反馈的个体结果的临床应用情况。利用这一经验,我们讨论了大规模基因组研究中与全面的RoR过程相关的障碍和机遇,这可能对其他制定自身政策的机构有所帮助。
作为APGI的一部分,我们对392例散发性胰腺癌(PC)患者的配对肿瘤-正常DNA对进行了全基因组(n = 184)和外显子组(n = 208)测序。我们在具有既定PC易感性的候选基因(n = 130)或具有明确癌症相关综合征或表型的中高外显率基因中鉴定出致病种系突变。根据国际指南对候选基因中的变异进行注释和分类。如果在预防、诊断、预后和/或治疗方面确定了临床实用性,则认为这些变异是可操作的。
共鉴定出48,904个种系变异,其中2356个独特变异经过注释和计算机模拟分类。20例被认为是可操作的,并通过先前描述的RoR框架进行了反馈,可操作发现率为5.1%。总体而言,我们队列中的1.78%的患者从RoR中获得了临床益处。
在大规模基因组研究背景下反馈研究结果是一项劳动密集型、高度可变且复杂的操作。需要采取行动的结果并不罕见,但因反馈个体结果而经历临床差异的患者比例目前较低。