Diao Ruigang, Mu Xiaodong, Wang Tingting, Li Shuqing
Yangtai Yuhuangding Hospital, Zhifu District, Yantai, Shandong Province, China.
PLoS One. 2017 Aug 10;12(8):e0182908. doi: 10.1371/journal.pone.0182908. eCollection 2017.
The prognosis of colorectal carcinoma (CRC) is unstable in the stage II-III patients. Patients with early stage II CRC have a relative poor prognosis while other stage III CRC patients have a better prognosis. In our work, by utilizing the expression of lncRNAs and mRNAs measured by microarray (GSE39582), we constructed a risk score staging system with Cox multivariate regression model to predict the outcome of grade II-III CRC patients. Ten genes including two lncRNAs and eight mRNAs were used to estimate the survival of stage II-III CRC patients. The patients with high risk scores have poorer survival rate those with low risk scores, significantly. These results were further validated in another three independent datasets (GSE37892, GSE33113, and GSE17536). The relationship between clinical information and were evaluated, and the risk score is independent from the other clinical information and performs better in evaluating the survival of stage II-III CRC patients. Moreover, the correlation between chemotherapy was also evaluated, and we found that both patients with or without chemotherapy have a poor survival in high risk group. Gene Set Enrichment Analysis were used to find the difference between high-risk and low-risk groups, and pathways including cell adhesion and focal adhesion were significantly enriched, suggesting that the risk score reflects the status of cell-cell physical interaction. In summary, we constructed a risk staging model for grade II-III CRC, which is independent from and performs better than clinical information.
结直肠癌(CRC)患者在II - III期的预后不稳定。早期II期CRC患者的预后相对较差,而其他III期CRC患者的预后较好。在我们的研究中,通过利用微阵列(GSE39582)测量的lncRNA和mRNA的表达,我们用Cox多变量回归模型构建了一个风险评分分期系统,以预测II - III级CRC患者的预后。包括两个lncRNA和八个mRNA在内的十个基因被用于评估II - III期CRC患者的生存情况。高风险评分的患者生存率明显低于低风险评分的患者。这些结果在另外三个独立数据集(GSE37892、GSE33113和GSE17536)中得到了进一步验证。我们评估了临床信息之间的关系,发现风险评分独立于其他临床信息,并且在评估II - III期CRC患者的生存情况方面表现更好。此外,我们还评估了化疗之间的相关性,发现无论是否接受化疗,高风险组患者的生存率都很低。基因集富集分析用于找出高风险组和低风险组之间的差异,包括细胞黏附和黏着斑在内的通路显著富集,这表明风险评分反映了细胞间物理相互作用的状态。总之,我们构建了一个II - III级CRC的风险分期模型,该模型独立于临床信息且表现优于临床信息。