Impact of negative lymph nodes on colon cancer survival and exploring relevant transcriptomics differences through real-world data analyses
Impact of negative lymph nodes on colon cancer survival and exploring relevant transcriptomics differences through real-world data analyses
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淋巴结阴性对结肠癌生存的影响，并通过真实世界数据分析探索相关转录组学差异
DOI：
10.21037/atm.2019.09.138
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发表时间：
2019-10-01
影响因子：
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通讯作者：
Hu, Pingping
中科院分区：
文献类型：
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作者：
Hao, Yuying;Zhang, Jiandong;Hu, Pingping
背景：阴性淋巴结（NLN）对结肠癌的预后作用和潜在异质性尚未得到很好的理解。本研究的目的是构建NIL为基础的预后模型，并揭示相关机制影响NLN通过分析omic data.Methods：这一起始队列研究包括314,398例结肠癌患者从美国监测，流行病学和最终结果（SEER）数据库。采用受试者工作特征曲线（ROC）确定NLN的临界值。分别使用SEER数据和癌症基因组图谱（TCGA）数据构建和验证列线图。使用edgeR分析差异表达基因（DEG）。结果：多变量分析证实，高NLN与低NLN相比，CSS和（HR =0. 601 - 0. 620）具有改善的癌症特异性生存期（CSS）和总生存期（OS）[风险比（HR）= 0. 610，95%置信区间（CI），0. 601 - 0. 620]。CSS和OS的C统计量分别为0.790（95%CI，0.788-0.792）和0.734（95%CI，0.732-0.736）。高NLN与较少的B细胞（P=0.002）和巨噬细胞浸润（P
Background: The prognostic role and underlying heterogeneity of negative lymph nodes (NLNs) on colon cancer is not well understood. The purpose of this study was to construct NIL-based prognostic models and reveal relevant mechanisms affecting NLNs by analyzing omic data.Methods: This inception cohort study included 314,398 colon cancer patients from the US Surveillance, Epidemiology, and End Results (SEER) database. Receiver operating characteristic (ROC) curve was used to determine the cut-off of NLNs. Nomograms were constructed and validated using SEER data and the Cancer Genome Atlas (TCGA) data, respectively. The differentially expressed genes (DEGs) were analyzed using edgeR. Enrichment analyses were performed by Metascape.Results: Multivariate analysis confirmed the high NLN had improved cancer-specific survival (CSS) and overall survival (OS) compared to low NLN [hazard ratio (HR) =0.610, 95% confidence interval (CI), 0.601-0.620] for CSS and (HR =0. 682, 95% CI, 0.674-0.690) for OS. Nomograms were established for CSS and OS with the c-statistic 0.790 (95% CI, 0.788-0.792) for CSS and 0.734 (95% CI, 0.732-0.736) for OS. High NLN was associated with less B cell (P=0.002) and macrophage infiltration (P