Department of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.; State Key Laboratory of Oncogenes and Related Genes, National Research Center for Translational Medicine (Shanghai), Shanghai, China.
Genecast Biotechnology Co., Ltd, Wuxi, China.
EBioMedicine. 2021 Dec;74:103716. doi: 10.1016/j.ebiom.2021.103716. Epub 2021 Nov 25.
Pancreatic adenocarcinoma (PAAD) is one of the most lethal carcinomas, and the current histopathological classifications are of limited use in clinical decision-making. There is an unmet need to identify new biomarkers for prognosis-informative molecular subtyping and ultimately for precision medicine.
We profiled genomic alterations for 608 PAAD patients in a Chinese cohort, including somatic mutations, pathogenic germline variants and copy number variations (CNV). Using the CNV information, we performed unsupervised consensus clustering of these patients, differential CNV analysis and functional/pathway enrichment analysis. Cox regression was conducted for progression-free survival analysis, the elastic net algorithm used for prognostic model construction, and rank-based gene set enrichment analysis for exploring tumor microenvironments.
Our data did not support prognostic value of point mutations in either highly mutated genes (such as KRAS, TP53, CDKN2A and SMAD4) or homologous recombination repair genes. Instead, associated with worse prognosis were amplified genes involved in DNA repair and receptor tyrosine kinase (RTK) related signalings. Motivated by this observation, we categorized patients into four molecular subtypes (namely repair-deficient, proliferation-active, repair-proficient and repair-enhanced) that differed in prognosis, and also constructed a prognostic model that can stratify patients with low or high risk of relapse. Finally, we analyzed publicly available datasets, not only reinforcing the prognostic value of our identified genes in DNA repair and RTK related signalings, but also identifying tumor microenvironment correlates with prognostic risks.
Together with the evidence from genomic footprint analysis, we suggest that repair-deficient and proliferation-active subtypes are better suited for DNA damage therapies, while immunotherapy is highly recommended for repair-proficient and repair-enhanced subtypes. Our results represent a significant step in molecular subtyping, diagnosis and management for PAAD patients.
This work was supported by the National Natural Science Foundation of China (grant numbers 81470894, 81502695, 81672325, 81871906, 82073326, 82103482 and 32170663), the Shanghai Sailing Program (grant number 20YF1426900), and the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (awarded to H.F.).
胰腺导管腺癌(PAAD)是最致命的癌种之一,目前的组织病理学分类在临床决策中的应用有限。因此,需要鉴定新的生物标志物,以进行预后相关的分子亚型分析,并最终实现精准医疗。
我们对一个中国队列中的 608 名 PAAD 患者进行了基因组改变分析,包括体细胞突变、致病性种系变异和拷贝数变异(CNV)。我们利用 CNV 信息对这些患者进行无监督共识聚类、差异 CNV 分析和功能/通路富集分析。我们进行 Cox 回归以进行无进展生存期分析,使用弹性网络算法构建预后模型,并使用基于秩的基因集富集分析来探索肿瘤微环境。
我们的数据不支持点突变(如 KRAS、TP53、CDKN2A 和 SMAD4 等高度突变基因,以及同源重组修复基因)在预后中的作用。相反,与较差的预后相关的是涉及 DNA 修复和受体酪氨酸激酶(RTK)相关信号的扩增基因。基于这一观察结果,我们将患者分为四个分子亚型(即修复缺陷型、增殖活跃型、修复功能良好型和修复增强型),这些亚型在预后上存在差异,我们还构建了一个可以对复发风险低或高的患者进行分层的预后模型。最后,我们分析了公开可用的数据集,不仅证实了我们在 DNA 修复和 RTK 相关信号中鉴定出的基因的预后价值,还确定了与预后风险相关的肿瘤微环境特征。
结合基因组足迹分析的证据,我们建议修复缺陷型和增殖活跃型亚型更适合进行 DNA 损伤治疗,而免疫治疗则强烈推荐用于修复功能良好型和修复增强型亚型。我们的研究结果代表了在 PAAD 患者的分子亚型、诊断和管理方面的重要进展。
本研究得到了国家自然科学基金(grant numbers 81470894、81502695、81672325、81871906、82073326、82103482 和 32170663)、上海市扬帆计划(grant number 20YF1426900)和上海市东方学者特聘教授计划(上海市属高校特聘教授)(授予 H.F.)的资助。