Fonseca André L, da Silva Vandeclécio L, da Fonsêca Marbella M, Meira Isabella T J, da Silva Thayná E, Kroll José E, Ribeiro-Dos-Santos André M, Freitas Cléber R, Furtado Raimundo, de Souza Jorge E, Stransky Beatriz, de Souza Sandro J
Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil; Ph.D. Program in Bioinformatics, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Brain Institute, Federal University of Rio Grande do Norte, 59064-560 Natal, RN, Brazil.
Int J Genomics. 2016;2016:8346198. doi: 10.1155/2016/8346198. Epub 2016 Nov 14.
It is estimated that 10 to 20% of all genes in the human genome encode cell surface proteins and due to their subcellular localization these proteins represent excellent targets for cancer diagnosis and therapeutics. Therefore, a precise characterization of the surfaceome set in different types of tumor is needed. Using TCGA data from 15 different tumor types and a new method to identify cancer genes, the -score, we identified several potential therapeutic targets within the surfaceome set. This allowed us to expand a previous analysis from us and provided a clear characterization of the human surfaceome in the tumor landscape. Moreover, we present evidence that a three-gene set-WNT5A, CNGA2, and IGSF9B-can be used as a signature associated with shorter survival in breast cancer patients. The data made available here will help the community to develop more efficient diagnostic and therapeutic tools for a variety of tumor types.
据估计，人类基因组中10%至20%的基因编码细胞表面蛋白，由于其亚细胞定位，这些蛋白是癌症诊断和治疗的理想靶点。因此，需要对不同类型肿瘤中的表面蛋白组进行精确表征。利用来自15种不同肿瘤类型的TCGA数据和一种识别癌症基因的新方法——-评分，我们在表面蛋白组中鉴定出了几个潜在的治疗靶点。这使我们能够扩展之前来自我们的分析，并清晰地表征肿瘤环境中的人类表面蛋白组。此外，我们提供的证据表明，一个由WNT5A、CNGA2和IGSF9B组成的三基因集可作为与乳腺癌患者较短生存期相关的标志物。此处提供的数据将有助于该领域开发针对多种肿瘤类型的更高效诊断和治疗工具。
