Sussman Tamara A, Abazeed Mohamed E, McCrae Keith R, Khorana Alok A
Department of Hematology/Oncology Cleveland Clinic Foundation Taussig Cancer Institute Cleveland Ohio.
Department of Radiation Oncology Cleveland Clinic Foundation Translational Hematology and Oncology Research Cleveland Ohio.
Res Pract Thromb Haemost. 2019 Dec 27;4(1):117-123. doi: 10.1002/rth2.12284. eCollection 2020 Jan.
The propensity to develop venous thromboembolism (VTE) on the basis of individual tumor biological features remains unknown.
We conducted a whole transcriptome RNA sequencing strategy, focusing on a single cancer type (lung cancer), to identify biomarkers of cancer-associated VTE.
Twelve propensity-matched patients, 6 each with or without VTE, were identified from a prospective institutional review board-approved registry at the Cleveland Clinic with available tissue from surgical excision of a primary lung mass between 2010 and 2015. Patients were propensity matched based on age, sex, race, history of prior cancer, date of cancer diagnosis, stage, histology, number of lines of chemotherapy, and length of follow-up. RNA sequencing was performed on tumor tissue, and gene set enrichment analysis (GSEA) was performed on differentially expressed genes.
We identified 1037 genes with differential expression. In patients with VTE, 869 genes were overexpressed and 168 were underexpressed compared to patients without VTE. Of these, 276 overexpressed and 35 underexpressed were significantly different ( < 0.05). GSEA revealed upregulation of genes in complement, inflammation, and KRAS signaling pathways in tumors from patients with VTE.
These differentially expressed genes and associated pathways provide biologic insights into cancer-associated VTE and may provide insignts to develop new risk stratification schemes, prevention, or treatment strategies.
基于个体肿瘤生物学特征发生静脉血栓栓塞(VTE)的倾向尚不清楚。
我们采用全转录组RNA测序策略,聚焦于单一癌症类型(肺癌),以识别癌症相关VTE的生物标志物。
从克利夫兰诊所一项经机构审查委员会批准的前瞻性登记研究中,选取12例倾向匹配患者,其中6例有VTE,6例无VTE,这些患者在2010年至2015年间因手术切除原发性肺肿块而有可用组织。根据年龄、性别、种族、既往癌症史、癌症诊断日期、分期、组织学、化疗疗程数和随访时间对患者进行倾向匹配。对肿瘤组织进行RNA测序,并对差异表达基因进行基因集富集分析(GSEA)。
我们鉴定出1037个差异表达基因。与无VTE患者相比,VTE患者中有869个基因过表达,168个基因低表达。其中,276个过表达基因和35个低表达基因有显著差异(<0.05)。GSEA显示,VTE患者肿瘤中补体、炎症和KRAS信号通路中的基因上调。
这些差异表达基因及相关通路为癌症相关VTE提供了生物学见解,并可能为开发新的风险分层方案、预防或治疗策略提供思路。