Dong Zhengbang, Zhu Xiaomei, Li Yang, Gan Lu, Chen Hao, Zhang Wei, Sun Jianfang
Department of Pathology, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College Department of Dermatology, Zhongda Hospital, Southeast University, Nanjing, Jiangsu Department of Dermatology, The Affiliated Qingdao Municipal Hospital of Qingdao University, Qingdao, China.
Medicine (Baltimore). 2018 May;97(21):e10871. doi: 10.1097/MD.0000000000010871.
Patients with mycosis fungoides (MF) developing tumors or extracutaneous lesions usually have a poor prognosis with no cure has so far been available. To identify potential novel biomarkers for MF at the tumor stage, a genomic mapping of 41 cutaneous lymphoma biopsies was used to explore for significant genes.The gene expression profiling datasets of MF were obtained from Gene Expression Omnibus database (GEO). Gene modules were simulated using Weighted Gene Co-expression Network Analysis (WGCNA) and the top soft-connected genes (hub genes) were filtrated with a threshold (0.5). Subsequently, module eigengenes were calculated and significant biological pathways were enriched based on the KEGG database.Four genetic modules were simulated with 3263 genes collected from the whole genomic profile based on cutoff values. Significant diseases genetic terminologies associated with tumor stage MF were found in black module. Subsequently, 13 hub genes including CFLAR, GCNT2, IFNG, IL17A, IL22, MIP, PLCG1, PTH, PTPN6, REG1A, SNAP25, SUPT7L, and TP63 were shown to be related to cutaneous T-cell lymphoma (CTCL) and adult T-cell lymphoma/leukemia (ATLL).In summary, in addition to the reported genes (IL17F, PLCG1, IFNG, and PTH) in CTCL/ATLL, the other high instable genes may serve as novel biomarkers for the regulation of the biological processes and molecular mechanisms of CTLT (MF/SS).
蕈样肉芽肿（MF）患者出现肿瘤或皮肤外病变通常预后较差，目前尚无治愈方法。为了确定MF肿瘤阶段潜在的新型生物标志物，对41例皮肤淋巴瘤活检组织进行基因组图谱分析以探索重要基因。MF的基因表达谱数据集从基因表达综合数据库（GEO）获得。使用加权基因共表达网络分析（WGCNA）模拟基因模块，并以阈值（0.5）筛选出顶级软连接基因（枢纽基因）。随后，计算模块特征基因，并基于KEGG数据库富集重要的生物途径。根据截止值，从全基因组图谱中收集的3263个基因模拟出四个遗传模块。在黑色模块中发现了与肿瘤阶段MF相关的重要疾病遗传术语。随后，包括CFLAR、GCNT2、IFNG、IL17A、IL22、MIP、PLCG1、PTH、PTPN6、REG1A、SNAP25、SUPT7L和TP63在内的13个枢纽基因被证明与皮肤T细胞淋巴瘤（CTCL）和成人T细胞淋巴瘤/白血病（ATLL）有关。总之，除了CTCL/ATLL中已报道的基因（IL17F、PLCG1、IFNG和PTH）外，其他高不稳定基因可能作为调节CTLT（MF/SS）生物学过程和分子机制的新型生物标志物。
