Di Raimondo Cosimo, Han Zhen, Su Chingyu, Wu Xiwei, Qin Hanjun, Sanchez James F, Yuan Yate-Ching, Martinez Xochiquetzal, Abdulla Farah, Zain Jasmine, Chen Chun-Wei, Rosen Steven T, Querfeld Christiane
Division of Dermatology, City of Hope, Duarte, CA 91010, USA.
Department of Dermatology, University of Roma Tor Vergata, Rome 00133, Italy.
Cancers (Basel). 2021 Nov 22;13(22):5854. doi: 10.3390/cancers13225854.
Large cell transformation of mycosis fungoides (LCT-MF) occurs in 20-50% of advanced MF and is generally associated with poor response and dismal prognosis. Although different mechanisms have been proposed to explain the pathogenesis, little is known about the role of microRNAs (miRs) in transcriptional regulation of LCT-MF. Here, we investigated the miR and mRNA expression profile in lesional skin samples of patients with LCT-MF and non-LCT MF using RNA-seq analysis. We found miR-146a and miR-21 to be significantly upregulated, and miR-708 the most significantly downregulated miR in LCT-MF. Integration of miR and mRNA expression profiles revealed the miR-regulated networks in LCT-MF. Ingenuity pathway analysis (IPA) demonstrated the involvement of genes for ICOS-ICOSL, PD1-PDL1, NF-κB, E2F transcription, and molecular mechanisms of cancer signaling pathways. Quantitative real time (qRT)-PCR results of target genes were consistent with the RNA-seq data. We further identified the immunosuppressive tumor microenvironment (TME) in LCT-MF. Moreover, our data indicated that miR-146a, -21 and -708 are associated with the immunosuppressive TME in LCT-MF. Collectively, our results suggest that the key LCT-MF associated miRs and their regulated networks may provide insights into its pathogenesis and identify promising targets for novel therapeutic strategies.
蕈样肉芽肿的大细胞转化(LCT-MF)发生在20%-50%的晚期蕈样肉芽肿患者中,通常与反应不佳和预后不良相关。尽管已经提出了不同的机制来解释其发病机制,但关于微小RNA(miR)在LCT-MF转录调控中的作用知之甚少。在这里,我们使用RNA测序分析研究了LCT-MF患者和非LCT-MF患者皮损样本中的miR和mRNA表达谱。我们发现miR-146a和miR-21在LCT-MF中显著上调,而miR-708是LCT-MF中下调最显著的miR。miR和mRNA表达谱的整合揭示了LCT-MF中的miR调控网络。 Ingenuity通路分析(IPA)表明ICOS-ICOSL、PD1-PDL1、NF-κB、E2F转录相关基因以及癌症信号通路的分子机制参与其中。靶基因的定量实时(qRT)-PCR结果与RNA测序数据一致。我们进一步确定了LCT-MF中的免疫抑制性肿瘤微环境(TME)。此外,我们的数据表明miR-146a、-21和-708与LCT-MF中的免疫抑制性TME相关。总的来说,我们的结果表明,与LCT-MF相关的关键miR及其调控网络可能为其发病机制提供见解,并为新的治疗策略确定有前景的靶点。