@article{ATM30624,
author = {Yuying Hao and Jiandong Zhang and Rui Du and Xinyi Huang and Hui Li and Pingping Hu},
title = {Impact of negative lymph nodes on colon cancer survival and exploring relevant transcriptomics differences through real-world data analyses},
journal = {Annals of Translational Medicine},
volume = {7},
number = {20},
year = {2019},
keywords = {},
abstract = {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 NLN-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},
issn = {2305-5847}, url = {https://atm.amegroups.org/article/view/30624}
}