PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, Ontario, Canada2Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada3Hepatobiliary/Pancreatic Surgical Oncology Program, University Health Network, Toronto, Ontario, Canada.
PanCuRx Translational Research Initiative, Ontario Institute for Cancer Research, Toronto, Ontario, Canada4Informatics and Bio-computing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada.
JAMA Oncol. 2017 Jun 1;3(6):774-783. doi: 10.1001/jamaoncol.2016.3916.
Outcomes for patients with pancreatic ductal adenocarcinoma (PDAC) remain poor. Advances in next-generation sequencing provide a route to therapeutic approaches, and integrating DNA and RNA analysis with clinicopathologic data may be a crucial step toward personalized treatment strategies for this disease.
To classify PDAC according to distinct mutational processes, and explore their clinical significance.
DESIGN, SETTING, AND PARTICIPANTS: We performed a retrospective cohort study of resected PDAC, using cases collected between 2008 and 2015 as part of the International Cancer Genome Consortium. The discovery cohort comprised 160 PDAC cases from 154 patients (148 primary; 12 metastases) that underwent tumor enrichment prior to whole-genome and RNA sequencing. The replication cohort comprised 95 primary PDAC cases that underwent whole-genome sequencing and expression microarray on bulk biospecimens.
Somatic mutations accumulate from sequence-specific processes creating signatures detectable by DNA sequencing. Using nonnegative matrix factorization, we measured the contribution of each signature to carcinogenesis, and used hierarchical clustering to subtype each cohort. We examined expression of antitumor immunity genes across subtypes to uncover biomarkers predictive of response to systemic therapies.
The discovery cohort was 53% male (n = 79) and had a median age of 67 (interquartile range, 58-74) years. The replication cohort was 50% male (n = 48) and had a median age of 68 (interquartile range, 60-75) years. Five predominant mutational subtypes were identified that clustered PDAC into 4 major subtypes: age related, double-strand break repair, mismatch repair, and 1 with unknown etiology (signature 8). These were replicated and validated. Signatures were faithfully propagated from primaries to matched metastases, implying their stability during carcinogenesis. Twelve of 27 (45%) double-strand break repair cases lacked germline or somatic events in canonical homologous recombination genes-BRCA1, BRCA2, or PALB2. Double-strand break repair and mismatch repair subtypes were associated with increased expression of antitumor immunity, including activation of CD8-positive T lymphocytes (GZMA and PRF1) and overexpression of regulatory molecules (cytotoxic T-lymphocyte antigen 4, programmed cell death 1, and indolamine 2,3-dioxygenase 1), corresponding to higher frequency of somatic mutations and tumor-specific neoantigens.
Signature-based subtyping may guide personalized therapy of PDAC in the context of biomarker-driven prospective trials.
胰腺导管腺癌(PDAC)患者的预后仍然较差。下一代测序的进步为治疗方法提供了途径,将 DNA 和 RNA 分析与临床病理数据相结合可能是为这种疾病制定个性化治疗策略的关键步骤。
根据不同的突变过程对 PDAC 进行分类,并探讨其临床意义。
设计、设置和参与者:我们对 2008 年至 2015 年间国际癌症基因组联盟收集的切除 PDAC 进行了回顾性队列研究。发现队列包括 154 名患者(148 例原发性;12 例转移)中 160 例 PDAC 病例,这些病例在全基因组和 RNA 测序前进行了肿瘤富集。复制队列包括 95 例原发性 PDAC 病例,这些病例在大容量生物样本上进行了全基因组测序和表达微阵列分析。
从序列特异性过程中积累的体细胞突变产生了可通过 DNA 测序检测到的特征。使用非负矩阵分解,我们测量了每个特征对致癌作用的贡献,并使用层次聚类对每个队列进行亚分类。我们检查了肿瘤免疫基因的表达,以揭示预测系统治疗反应的生物标志物。
发现队列中 53%为男性(n=79),中位年龄为 67 岁(四分位距,58-74)。复制队列中 50%为男性(n=48),中位年龄为 68 岁(四分位距,60-75)。确定了 5 种主要的突变亚型,将 PDAC 聚类为 4 种主要亚型:年龄相关、双链断裂修复、错配修复和 1 种病因不明(特征 8)。这些被复制和验证。特征从原发性到匹配的转移中准确地传播,暗示它们在致癌过程中的稳定性。12 例(45%)双链断裂修复病例中缺乏经典同源重组基因 BRCA1、BRCA2 或 PALB2 的种系或体细胞事件。双链断裂修复和错配修复亚型与抗肿瘤免疫的表达增加相关,包括 CD8 阳性 T 淋巴细胞(GZMA 和 PRF1)的激活和调节分子(细胞毒性 T 淋巴细胞抗原 4、程序性细胞死亡 1 和吲哚胺 2,3-双加氧酶 1)的过表达,这与体细胞突变和肿瘤特异性新抗原的频率更高相对应。
基于特征的亚分类可以指导基于生物标志物的前瞻性试验中 PDAC 的个性化治疗。