A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.

ABSTRACT:

Background

Preoperative evaluation of lymph node (LN) state is of pivotal significance for informing therapeutic decisions in gastric cancer (GC) patients. However, there are no non-invasive methods that can be used to preoperatively identify such status. We aimed at developing a genomic biosignature based model to predict the possibility of LN metastasis in GC patients.

Methods

We used the RNA profile retrieving strategy and performed RNA expression profiling in a large GC cohort (GSE62254, n = 300) from Gene Expression Ominus (GEO). In the exploratory stage, 300 GC patients from GSE62254 were involved and the differentially expressed RNAs (DERs) for LN-status were determined using the R software. GC samples in GSE62254 were randomly allocated into a learning set (n = 210)

SUBMITTER: Zhong X 

PROVIDER: S-EPMC8066490 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature