Department of Oral and Maxillofacial Surgery, State Key Laboratory of Military Stomatology, School of Stomatology, the Fourth Military Medical University, Xi'an, 710032, China.
Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Curr Med Sci. 2018 Aug;38(4):714-720. doi: 10.1007/s11596-018-1935-9. Epub 2018 Aug 20.
Human tongue cancer (TC) is an aggressive malignancy with a very poor prognosis. There is an urgent need to elucidate the underlying molecular mechanisms involved in TC progression. mRNA expression profiles play a vital role in the exploration of cancer-related genes. Therefore, the purpose of our study was to identify the progression associated candidate genes of TC by bioinformatics analysis. Five microarray datasets of TC samples were downloaded from the Gene Expression Omnibus (GEO) database and the data of 133 TC patients were screened from The Cancer Genome Atlas (TCGA) head and neck squamous cell carcinoma (HNSC) database. The integrated analysis of five microarray datasets and the RNA sequencing data of TC samples in TCGA-HNSC was performed to obtain 1023 overlapping differentially expressed genes (DEGs) in TC and adjacent normal tissue (ANT) samples. Next, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was conducted to enrich the significant pathways of the 1023 DEGs and PI3KAkt signaling pathway (P=0.011) was selected to be the candidate pathway. A total of 23 DEGs with |log2 fold change (FC)| ≥1.0 in phosphatidylinositol 3-kinase-serine/threonine kinase (PI3K-Akt) signaling pathway were subjected to survival analysis of 125 eligible TC samples in TCGA database, indicating increased integrin-α3 gene (ITGA3) expression was significantly associated with poorer prognosis. Taken together, our study suggested ITGA3 may facilitate the development of TC via activating PI3K-Akt signaling pathway.
人类舌癌（TC）是一种侵袭性恶性肿瘤，预后极差。阐明 TC 进展中涉及的潜在分子机制迫在眉睫。mRNA 表达谱在探索癌症相关基因方面发挥着重要作用。因此，本研究旨在通过生物信息学分析鉴定 TC 进展相关的候选基因。从基因表达综合数据库（GEO）下载了 5 个 TC 样本的微阵列数据集，并从癌症基因组图谱（TCGA）头颈部鳞状细胞癌（HNSC）数据库中筛选了 133 例 TC 患者的数据。对 5 个微阵列数据集和 TCGA-HNSC 中 TC 样本的 RNA 测序数据进行综合分析，获得 1023 个在 TC 和相邻正常组织（ANT）样本中重叠的差异表达基因（DEG）。接下来，对 1023 个 DEG 进行京都基因与基因组百科全书（KEGG）通路分析，富集显著通路，选择 PI3KAkt 信号通路（P=0.011）作为候选通路。对 TCGA 数据库中 125 例 TC 患者的 23 个 DEG 在 PI3K-Akt 信号通路中的 |log2 倍数变化（FC）|≥1.0 进行生存分析，结果表明整合素-α3 基因（ITGA3）表达增加与预后不良显著相关。综上所述，本研究提示 ITGA3 可能通过激活 PI3K-Akt 信号通路促进 TC 的发展。
