Ortega-Bernal Daniel, La Rosa Claudia H González-De, Arechaga-Ocampo Elena, Alvarez-Avitia Miguel Angel, Moreno Nora Sobrevilla, Rangel-Escareño Claudia
Natural Sciences Department, Universidad Autónoma Metropolitana, Mexico City 05300, Mexico.
Medical Oncology Department, Instituto Nacional de Cancerología, Mexico City 14080, Mexico.
Oncol Lett. 2018 Aug;16(2):1899-1911. doi: 10.3892/ol.2018.8861. Epub 2018 May 31.
Melanoma represents one of the most aggressive malignancies and has a high tendency to metastasize. The present study aims to investigate the molecular mechanisms of two pathways to cancer transformation with the purpose of identifying potential biomarkers. Our approach is based on a meta-analysis of gene expression profiling contrasting two scenarios: A model that describes a transformation pathway from melanocyte to melanoma and a second model where transformation occurs through an intermediary nevus. Data consists of three independent, publicly available microarray datasets from the Gene Expression Omnibus (GEO) database comprising samples from melanocytes, nevi and melanoma. The present analysis identified 808 differentially expressed genes (528 upregulated and 360 downregulated) in melanoma compared with nevi, and 2,331 differentially expressed genes (946 upregulated and 1,385 downregulated) in melanoma compared with melanocytes. Further analysis narrowed down this list, since 682 differentially expressed genes were found in both models (417 upregulated and 265 downregulated). Enrichment analysis identified relevant dysregulated pathways. This article also presented a discussion on significant genes including ADAM like decysin 1, neudesin neurotrophic factor, , apolipoprotein L6, motif chemokine ligand ()8, basic, immunoglobulin-like variable motif containing and . These are of particular interest because they encode secreted proteins hence represent potential blood biomarkers for the early detection of malignant transformation in both scenarios. Cytotoxic T-lymphocyte associated protein 4, an important therapeutic target in melanoma treatment, was also upregulated in both comparisons indicating a potential involvement in immune tolerance, not only at advanced stages but also during the early transformation to melanoma. The results of the present study may provide a research direction for studying the mechanisms underlying the development of melanoma, depending on its origin.
黑色素瘤是最具侵袭性的恶性肿瘤之一,且具有很高的转移倾向。本研究旨在探究两条癌症转化途径的分子机制,以识别潜在的生物标志物。我们的方法基于对基因表达谱的荟萃分析,对比两种情况:一种描述从黑素细胞到黑色素瘤的转化途径的模型,以及另一种通过中间痣发生转化的模型。数据由来自基因表达综合数据库(GEO)的三个独立的、公开可用的微阵列数据集组成,包括来自黑素细胞、痣和黑色素瘤的样本。本分析确定,与痣相比,黑色素瘤中有808个差异表达基因(528个上调和360个下调),与黑素细胞相比,黑色素瘤中有2331个差异表达基因(946个上调和1385个下调)。进一步分析缩小了这个列表范围,因为在两种模型中都发现了682个差异表达基因(417个上调和265个下调)。富集分析确定了相关的失调途径。本文还对包括类解整合素金属蛋白酶1、神经生长因子、载脂蛋白L6、趋化因子配体8、含碱性免疫球蛋白样可变基序等重要基因进行了讨论。这些基因特别受关注,因为它们编码分泌蛋白,因此在两种情况下都代表了用于早期检测恶性转化的潜在血液生物标志物。细胞毒性T淋巴细胞相关蛋白4是黑色素瘤治疗中的一个重要治疗靶点,在两项比较中也均上调,这表明其不仅在晚期,而且在早期向黑色素瘤转化过程中可能参与免疫耐受。本研究结果可能为根据黑色素瘤的起源研究其发生发展机制提供一个研究方向。