Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Sci Rep. 2017 Sep 11;7(1):11119. doi: 10.1038/s41598-017-11520-6.
Cancer is a highly complicated biological process due to large scale heterogeneity. Identification of differentially expressed genes between normal and cancer samples is widely utilized in the discovery of prognostic factors. In this study, based on RNA sequencing data of lung adenocarcinoma, we focused on the expression differentiation during confined (with neither lymph node invasion nor distant metastasis) primary tumors and lymphnode (with only lymph node invasion but not distant metastasis) primary tumors. The result indicated that differentially expressed genes during confined-lymphnode transition were more closely related to patient's overall survival comparing with those identified from normal-cancer transition. With the aid of public curated biological network, we successfully retrieved the biggest connected module composed of 135 genes, of which the expression was significantly associated with patient's overall survival, confirmed by 9 independent microarray datasets.
由于大规模异质性，癌症是一个高度复杂的生物学过程。在预后因素的发现中，正常和癌症样本之间差异表达基因的鉴定被广泛应用。在这项研究中，基于肺腺癌的 RNA 测序数据，我们专注于局限（既无淋巴结侵犯也无远处转移）原发肿瘤和淋巴结（仅淋巴结侵犯但无远处转移）原发肿瘤之间的表达差异。结果表明，与正常-癌症转变相比，在局限-淋巴结转移过程中差异表达的基因与患者的总生存率更为密切相关。借助公共 curated 生物网络，我们成功检索到由 135 个基因组成的最大连通模块，其表达与患者的总生存率显著相关，这一结果在 9 个独立的微阵列数据集上得到了验证。
