Details

Autor(en) / Beteiligte

• Xiao, Jian
• Wang, Gang
• Zhu, Chuming
• Liu, Kanghui
• Wang, Yuanhang
• Shen, Kuan
• Fan, Hao
• Ma, Xiang
• Xu, Zekuan
• Yang, Li

Titel

A thirty-three gene-based signature predicts lymph node metastasis and prognosis in patients with gastric cancer

Ist Teil von

• Heliyon, 2023-06, Vol.9 (6), p.e17017-e17017, Article e17017

Ort / Verlag

England: Elsevier Ltd

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Recently, several studies have indicated the great potential of gene expression signature of the primary tumor in predicting lymph node metastasis; however, few current gene biomarkers can predict lymph node status and prognosis in gastric cancer (GC). Thus, we used the RNA-seq data from The Cancer Genome Atlas (TCGA) to identify differentially expressed genes between pathological lymph node-negative (pN0) and positive (pN+) patients and to establish a gene signature that could predict lymph node metastasis. Meanwhile, the robustness of identified gene signatures was validated in an independent dataset Asian Cancer Research Group (n = 300). In this study, our thirty-three gene-based signature was highly correlated with lymph node metastasis and could successfully discriminate pN + patients in the training set (Area under the receiver operating characteristic curve = 0.951). Moreover, Disease-free survival (P = 0.0029) and overall survival (P = 0.026) were significantly worse in high-risk compared with low-risk patients overall and when confined to pN0 patients only (P < 0.0001). Of note, this gene signature also proved useful in predicting lymph node status and survival in the validation cohort. The present study suggests a thirty-three gene-based signature that could effectively predict lymph node metastasis and prognosis in GC.