已发表论文

共表达网络分析可确定与透明细胞肾细胞癌的转移风险和预后相关的 LTF

 

Authors Ni L, Yuan C, Zhang C, Xiang Y, Wu J, Wang X, Wu X

Received 23 February 2020

Accepted for publication 25 May 2020

Published 17 July 2020 Volume 2020:13 Pages 6975—6986

DOI https://doi.org/10.2147/OTT.S251000

Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 2

Editor who approved publication: Dr Federico Perche

Objective: Clear cell renal cell carcinoma (ccRCC) is the most common renal cancer in adults. The 5-year survival rate of patients with advanced ccRCC is less than 30%. Lack of potential biomarkers for treatment and prognosis is a limitation for early diagnosis and treatment of ccRCC.
Methods: We collected microarray profiles of 39 ccRCC and matched normal samples to identify differential expression genes (DEGs). Then, a weighted gene co-expression network analysis (WGCNA) was constructed to identify gene modules associated with the metastasis in ccRCC. The Cancer Genome Atlas (TCGA) database and the Human Protein Atlas (HPA, https://www.proteinatlas.org/) database were used for verification set. Finally, we used biological experiments to preliminary investigate the impact of LTF on the tumor biological behavior of ccRCC, including proliferation, migration, invasion, and apoptosis.
Results: A total of 15 genetic modules were identified, and the light-green module is considered the most relevant to tumor metastasis. (= 0.02, R2 = − 0.4). Protein–protein interaction (PPI) network was performed to identify the hub nodes in the light-green module. Finally, combining the results of PPI, WGCNA and DEGs, lactotransferrin (LTF ) gene was regarded as “real” hub genes for cancer metastasis risk. LTF was subsequently validated using the TCGA database. Immunohistochemistry confirmed that the expression of LTF in ccRCC tumor tissue was significantly lower than that in normal tissue based on the HPA database. Intriguingly, patients with low expression of LTF had lower survival rates (HR = 0.66, 95% CI: 0.49– 0.89, = 0.0067), the expression level of the sample was negatively correlated with tumor stage (= 0.0385), and patients with low expression of LTF gene were more likely to have distant metastasis (= 0.038). Overexpression of LTF inhibited the proliferation, migration, invasion and promoted apoptosis of human ccRCC cells in vitro.
Conclusion: LTF might be a novel prognostic biomarker for ccRCC.
Keywords: clear cell renal cell carcinoma, LTF , metastasis




Figure 6 The effect of LTF on the clinical features of ccRCC...