Department of Pathology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11794, USA.
Department of Pathology, School of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia.
Sci Rep. 2019 Aug 2;9(1):11239. doi: 10.1038/s41598-019-47519-4.
Although the overall five-year survival of patients with pancreatic ductal adenocarcinoma (PDAC) is dismal, there are survival differences between cases with clinically and pathologically indistinguishable characteristics, suggesting that there are uncharacterized properties that drive tumor progression. Recent mRNA sequencing studies reported gene-expression signatures that define PDAC molecular subtypes that correlate with differences in survival. We previously identified Keratin 17 (K17) as a negative prognostic biomarker in other cancer types. Here, we set out to determine if K17 is as accurate as molecular subtyping of PDAC to identify patients with the shortest survival. K17 mRNA was analyzed in two independent PDAC cohorts for discovery (n = 124) and validation (n = 145). Immunohistochemical localization and scoring of K17 immunohistochemistry (IHC) was performed in a third independent cohort (n = 74). Kaplan-Meier and Cox proportional-hazard regression models were analyzed to determine cancer specific survival differences in low vs. high mRNA K17 expressing cases. We established that K17 expression in PDACs defines the most aggressive form of the disease. By using Cox proportional hazard ratio, we found that increased expression of K17 at the IHC level is also associated with decreased survival of PDAC patients. Additionally, within PDACs of advanced stage and negative surgical margins, K17 at both mRNA and IHC level is sufficient to identify the subgroup with the shortest survival. These results identify K17 as a novel negative prognostic biomarker that could inform patient management decisions.
虽然胰腺导管腺癌(PDAC)患者的总体五年生存率较差,但具有临床和病理上不可区分特征的病例存在生存差异,这表明存在未被描述的特性推动肿瘤进展。最近的 mRNA 测序研究报告了定义 PDAC 分子亚型的基因表达特征,这些特征与生存差异相关。我们之前发现角蛋白 17(K17)在其他癌症类型中是一种负预后生物标志物。在这里,我们着手确定 K17 是否像 PDAC 的分子分型一样准确,以识别生存时间最短的患者。在两个独立的 PDAC 队列中分析了 K17 mRNA,用于发现(n=124)和验证(n=145)。在第三个独立队列(n=74)中进行了 K17 免疫组织化学(IHC)的免疫组织化学定位和评分。使用 Kaplan-Meier 和 Cox 比例风险回归模型分析低 vs. 高 mRNA K17 表达病例的癌症特异性生存差异。我们确定 K17 在 PDAC 中的表达定义了疾病最具侵袭性的形式。通过使用 Cox 比例风险比,我们发现 IHC 水平上 K17 的表达增加也与 PDAC 患者的生存时间减少相关。此外,在晚期和阴性手术切缘的 PDAC 中,mRNA 和 IHC 水平上的 K17 足以识别生存时间最短的亚组。这些结果确定 K17 为一种新的负预后生物标志物,可用于告知患者管理决策。