Tanaka Atsushi, Ogawa Makiko, Zhou Yihua, Otani Yusuke, Hendrickson Ronald C, Miele Matthew M, Li Zhuoning, Klimstra David S, Wang Julia Y, Roehrl Michael H
Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.
iScience. 2024 Jul 20;27(8):110544. doi: 10.1016/j.isci.2024.110544. eCollection 2024 Aug 16.
Pancreatic neuroendocrine tumors (PanNETs) represent well-differentiated endocrine neoplasms with variable clinical outcomes. Predicting patient outcomes using the current tumor grading system is challenging. In addition, traditional systemic treatment options for PanNETs, such as somatostatin analogs or cytotoxic chemotherapies, are very limited. To address these issues, we characterized PanNETs using integrated proteogenomics and identified four subtypes. Two proteomic subtypes showed high recurrence rates, suggesting clinical aggressiveness that was missed by current classification. Hypoxia and inflammatory pathways were significantly enriched in the clinically aggressive subtypes. Detailed analyses revealed metabolic adaptation via glycolysis upregulation and oxidative phosphorylation downregulation under hypoxic conditions. Inflammatory signature analysis revealed that immunosuppressive molecules were enriched in immune hot tumors and might be immunotherapy targets. In this study, we characterized clinically aggressive proteomic subtypes of well-differentiated PanNETs and identified candidate therapeutic targets.
胰腺神经内分泌肿瘤(PanNETs)是分化良好的内分泌肿瘤,临床结局各异。使用当前的肿瘤分级系统预测患者预后具有挑战性。此外,PanNETs的传统全身治疗选择,如生长抑素类似物或细胞毒性化疗,非常有限。为了解决这些问题,我们利用整合蛋白质基因组学对PanNETs进行了特征分析,并确定了四种亚型。两种蛋白质组学亚型显示出高复发率,表明存在当前分类未发现的临床侵袭性。缺氧和炎症途径在临床侵袭性亚型中显著富集。详细分析显示,在缺氧条件下,通过糖酵解上调和氧化磷酸化下调实现代谢适应。炎症特征分析表明,免疫抑制分子在免疫热肿瘤中富集,可能是免疫治疗靶点。在本研究中,我们对分化良好的PanNETs的临床侵袭性蛋白质组学亚型进行了特征分析,并确定了候选治疗靶点。