Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Surgery and Oncology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Cancer Med. 2019 Jul;8(8):3748-3760. doi: 10.1002/cam4.2232. Epub 2019 May 25.
Although the postoperative recurrence rate for pancreatic neuroendocrine tumors (PNETs) is reported to be 13.5%-30%, the paucity of valuable biomarkers to predict recurrence poses a problem for the early detection of relapse. Hence, this study aimed to identify new biomarkers to predict the recurrence of PNETs. We performed RNA sequencing (RNA-Seq) on RNA isolated from frozen primary tumors sampled from all localized G1/G2 PNETs resected curatively from 1998 to 2015 in our institution. We calculated differentially expressed genes (DEGs) in tumor with and without recurrence (≥3 years) for the propensity-matched cohort. Gene ontology analysis for the identified DEGs was also performed. Furthermore, we evaluated the expression levels of candidate genes as recurrence predictors via immunostaining. Comparison of transcriptional levels in tumors with and without recurrence identified 166 DEGs. Up- and downregulated genes with high significance in these tumors were mainly related to extracellular organization and cell adhesion, respectively. We observed the top three upregulated genes, C-type lectin domain family 3 member A (CLEC3A), matrix metalloproteinase-7 (MMP7), and lipocalin2 (LCN2) immunohistochemically and compared their levels in recurrent and nonrecurrent tumors. Significantly higher recurrence rate was shown in patients with positive expression of CLEC3A (P = 0.028), MMP7 (P = 0.003), and LCN2 (P = 0.040) than that with negative expression. We identified CLEC3A, MMP7, and LCN2 known to be associated with the phosphatidylinositol-3-kinase/Akt pathway, as potential novel markers to predict the postoperative recurrence of PNETs.
尽管胰腺神经内分泌肿瘤(PNETs)的术后复发率据报道为 13.5%-30%,但缺乏有价值的生物标志物来预测复发仍是一个问题,因为这会影响复发的早期检测。因此,本研究旨在寻找新的生物标志物来预测 PNETs 的复发。我们对 1998 年至 2015 年在我院接受根治性切除的局限性 G1/G2 PNETs 患者的冷冻原发肿瘤组织进行 RNA 测序(RNA-Seq),并对有和无复发(≥3 年)的肿瘤进行差异表达基因(DEGs)计算。我们还对鉴定出的 DEGs 进行了基因本体论分析。此外,我们通过免疫组化评估候选基因作为复发预测因子的表达水平。比较有无复发肿瘤的转录水平,鉴定出 166 个 DEGs。这些肿瘤中上调和下调基因具有高显著性,主要分别与细胞外组织和细胞黏附有关。我们观察了三个上调基因,C 型凝集素结构域家族 3 成员 A(CLEC3A)、基质金属蛋白酶-7(MMP7)和脂钙蛋白 2(LCN2)的免疫组织化学表达,并比较了它们在复发和非复发肿瘤中的水平。CLEC3A(P=0.028)、MMP7(P=0.003)和 LCN2(P=0.040)阳性表达患者的复发率明显高于阴性表达患者。我们发现 CLEC3A、MMP7 和 LCN2 与磷脂酰肌醇-3-激酶/ Akt 通路有关,可能是预测 PNETs 术后复发的新潜在标志物。