VNN1 overexpression is associated with poor response to preoperative chemoradiotherapy and adverse prognosis in patients with rectal cancers

VNN1 过表达与直肠癌患者术前放化疗反应不佳及预后不良相关

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作者:Chi-Yung Chai, Yimin Zhang, Junlong Song, Shih-Chun Lin, Shengrong Sun, I-Wei Chang

Background

Colorectal cancer is prevalent worldwide and it is also the fourth most common cause of cancer mortality. For rectal cancer, neoadjuvant concurrent chemoradiotherapy (CCRT) followed by radical proctectomy is gold standard treatment for patients with stage II/III rectal cancer. By data mining a public dataset of rectal cancer transcriptome (GSE35452) from Gene Expression Omnibus, National Center of Biotechnology Information (GEO, NCBI), we identified that VNN1 was the most significantly upregulated gene among those related to nitrogen compound metabolic process (GO:0006807). Therefore, we analyzed the clinicopathological correlation and prognostic impact of VNN1 protein (pantetheinase), which encoded by VNN1 gene.

Conclusion

VNN1 may play a crucial role in rectal cancer progression and responsiveness to CCRT, and serve as a novel prognostic biomarker. Additional studies to clarify the molecular pathway are essential for developing potential VNN1-targeted therapies for rectal cancer.

Methods

VNN1 immunostaining was performed in 172 rectal adenocarcinomas treated with preoperative CCRT followed by surgery, which were bisected into high- and low-expression subgroups. Furthermore, statistical analyses were performed to correlate the relationship between VNN1 immunoreactivity and clinicopathological features, as well as three survival indices: disease-specific survival (DSS), local recurrence-free survival (LRFS) and metastasis-free survival (MeFS).

Results

High VNN1 immunoexpression was significantly associated with advanced pre-treatment and post-treatment disease and poor response to CCRT (all P ≤ .026). In addition, VNN1 overexpression was linked to adverse DSS, LRFS and MeFS in univariate analysis and served as an independent prognosticator indicating worse DSS and LRFS in multivariate analysis (all P ≤ .019).

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