Literature DB >> 33302481

Angiogenesis-Related Gene Expression Signatures Predicting Prognosis in Gastric Cancer Patients.

Haoyu Ren1, Jiang Zhu2, Haochen Yu1, Alexandr V Bazhin1, Christoph Benedikt Westphalen3, Bernhard W Renz1, Sven N Jacob1, Christopher Lampert1, Jens Werner1, Martin K Angele1, Florian Bösch1.   

Abstract

Increasing evidence indicates that angiogenesis is crucial in the development and progression of gastric cancer (GC). This study aimed to develop a prognostic relevant angiogenesis-related gene (ARG) signature and a nomogram. The expression profile of the 36 ARGs and clinical information of 372 GC patients were extracted from The Cancer Genome Atlas (TCGA). Consensus clustering was applied to divide patients into clusters 1 and 2. Least absolute shrinkage and selection operator (LASSO) Cox regression analyses were used to identify the survival related ARGs and establish prognostic gene signatures, respectively. The Asian Cancer Research Group (ACRG) (n = 300) was used for external validation. Risk score of ARG signatures was calculated, and a prognostic nomogram was developed. Gene set enrichment analysis of the ARG model risk score was performed. Cluster 2 patients had more advanced clinical stage and shorter survival rates. ARG signatures carried prognostic relevance in both cohorts. Moreover, ARG-risk score was proved as an independent prognostic factor. The predictive value of the nomogram incorporating the risk score and clinicopathological features was superior to tumor, lymph node, metastasis (TNM) staging. The high-risk score group was associated with several cancer and metastasis-related pathways. The present study suggests that ARG-based nomogram could serve as effective prognostic biomarkers and allow a more precise risk stratification.

Entities:  

Keywords:  angiogenesis; biomarkers; gastric cancer; gene signature; nomogram; prognosis

Year:  2020        PMID: 33302481      PMCID: PMC7763234          DOI: 10.3390/cancers12123685

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


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