Increased expression levels of AURKA and KIFC1 are promising predictors of progression and poor survival associated with gastric cancer
- Authors
- Jung, Jiyoon; Jeong, Hoiseon; Choi, Jung-Woo; Kim, Hye-Sun; Oh, Hwa Eun; Lee, Eung Seok; Kim, Young-Sik; Lee, Ju-Han
- Issue Date
- 8월-2021
- Publisher
- ELSEVIER GMBH
- Keywords
- Aurora kinase A; Biomarker; Gastric cancer; Kinesin family member C1
- Citation
- PATHOLOGY RESEARCH AND PRACTICE, v.224
- Indexed
- SCIE
SCOPUS
- Journal Title
- PATHOLOGY RESEARCH AND PRACTICE
- Volume
- 224
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/137011
- DOI
- 10.1016/j.prp.2021.153524
- ISSN
- 0344-0338
- Abstract
- Increased cell proliferation is a critical hallmark of cancer development and progression. The proliferation of tumor cells depends on mitotic deregulation. Here, we identified the differentially expressed genes (DEGs) in gastric cancer (GC) through RNA sequencing data and bioinformatics analysis. Subsequent functional and pathway enrichment analyses showed that the screened DEGs were enriched in the mitosis-associated pathway. Based on the analysis results, we selected two signatures (aurora kinase A [AURKA] and kinesin family member C1 [KIFC1]) to determine their clinicopathological significance. The results showed a significant positive correlation between AURKA and KIFC1 expression both at the mRNA and protein levels. AURKA expression was positively correlated with distant metastases (p = 0.032) and tumor-node-metastasis (TNM) stage (p = 0.001). Elevated KIFC1 expression was significantly associated with tumor size (p = 0.029), depth of invasion (p < 0.001), lymph node metastasis (p < 0.001), distant metastasis (p = 0.023), and TNM stage (p < 0.001). Higher AURKA (hazard ratio [HR] = 1.3, p < 0.001) and KIFC1 (HR = 1.41, p < 0.001) mRNA levels were also significantly correlated with poor overall survival. Thus, AURKA and KIFC1 could serve as potential prognostic markers and therapeutic targets for GC.
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Collections - College of Medicine > Department of Medical Science > 1. Journal Articles
- Graduate School > Department of Biomedical Sciences > 1. Journal Articles
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