Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Wake Forest Baptist Comprehensive Cancer Center, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Ann Surg Oncol. 2020 May;27(5):1439-1447. doi: 10.1245/s10434-020-08210-5. Epub 2020 Jan 24.
Appendiceal mucinous neoplasm (AMN) with peritoneal metastasis is a rare but deadly disease with few prognostic or therapy-predictive biomarkers to guide treatment decisions. Here, we investigated the prognostic and biological attributes of gene expression-based AMN molecular subtypes.
AMN specimens (n = 138) derived from a population-based subseries of patients treated at our institution with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) between 05/2000 and 05/2013 were analyzed for gene expression using a custom-designed NanoString 148-gene panel. Signed non-negative matrix factorization (sNMF) was used to define a gene signature capable of delineating robustly-classified AMN molecular subtypes. The sNMF class assignments were evaluated by topology learning, reverse-graph embedding and cross-cohort performance analysis.
Three molecular subtypes of AMN were discerned by the expression patterns of 17 genes with roles in cancer progression or anti-tumor immunity. Tumor subtype assignments were confirmed by topology learning. AMN subtypes were termed immune-enriched (IE), oncogene-enriched (OE) and mixed (M) as evidenced by their gene expression patterns, and exhibited significantly different post-treatment survival outcomes. Genes with specialized immune functions, including markers of T-cells, natural killer cells, B-cells, and cytolytic activity showed increased expression in the low-risk IE subtype, while genes implicated in the promotion of cancer growth and progression were more highly expressed in the high-risk OE subtype. In multivariate analysis, the subtypes demonstrated independent prediction power for post-treatment survival.
Our findings suggest a greater role for the immune system in AMN than previously recognized. AMN subtypes may have clinical utility for predicting CRS/HIPEC treatment outcomes.
阑尾黏液性肿瘤(AMN)伴腹膜转移是一种罕见但致命的疾病,目前尚无预后或治疗预测的生物标志物来指导治疗决策。在这里,我们研究了基于基因表达的 AMN 分子亚型的预后和生物学特征。
对本机构于 2000 年 5 月至 2013 年 5 月期间接受细胞减灭术和腹腔热灌注化疗(CRS/HIPEC)治疗的患者的人群亚系列 AMN 标本(n=138)进行了基因表达分析,使用了定制设计的 NanoString 148 基因芯片。采用有符号非负矩阵分解(sNMF)来定义一个能够明确分类 AMN 分子亚型的基因特征。通过拓扑学习、反向图嵌入和跨队列性能分析来评估 sNMF 分类的分配。
通过对 17 个基因的表达模式进行分析,发现了三种 AMN 分子亚型,这些基因在癌症进展或抗肿瘤免疫中发挥作用。肿瘤亚型的分配通过拓扑学习得到证实。AMN 亚型被命名为免疫富集型(IE)、癌基因富集型(OE)和混合型(M),这是由它们的基因表达模式决定的,并且表现出明显不同的治疗后生存结果。具有特殊免疫功能的基因,包括 T 细胞、自然杀伤细胞、B 细胞和细胞溶解活性的标志物,在低风险的 IE 亚型中表达增加,而参与促进癌症生长和进展的基因在高风险的 OE 亚型中表达更高。在多变量分析中,这些亚型对治疗后生存具有独立的预测能力。
我们的研究结果表明,免疫系统在 AMN 中发挥的作用比以前认识到的更为重要。AMN 亚型可能对预测 CRS/HIPEC 治疗结果具有临床应用价值。