XIAOBI HUANG^1,#, CHUNYUAN CHEN², YONGYANG CHEN^1,#, HONGLIAN ZHOU¹, YONGHUA CHEN¹, ZHONG HUANG¹, YULIU XIE¹, BAIYANG LIU¹, YUDONG GUO¹, ZHIXIONG YANG¹, GUANGHUA CHEN^3,*, WENMEI SU^1,4,*

Oncology Research, Vol.32, No.7, pp. 1185-1195, 2024, DOI:10.32604/or.2023.030771 - 20 June 2024

Abstract Background: Long non-coding RNAs are important regulators in cancer biology and function either as tumor suppressors or as oncogenes. Their dysregulation has been closely associated with tumorigenesis. LINC00265 is upregulated in lung adenocarcinoma and is a prognostic biomarker of this cancer. However, the mechanism underlying its function in cancer progression remains poorly understood. Methods: Here, the regulatory role of LINC00265 in lung adenocarcinoma was examined using lung cancer cell lines, clinical samples, and xenografts. Results: We found that high levels of LINC00265 expression were associated with shorter overall survival rate of patients, whereas knockdown of LINC00265 inhibited proliferation… More >

LITING YOU^1,#, FEIFEI NA^2,#, JUAN ZHOU³, LIN JIAO³, YI ZHOU^3,*, BINWU YING^3,*

BIOCELL, Vol.45, No.3, pp. 649-663, 2021, DOI:10.32604/biocell.2021.013978 - 03 March 2021

Abstract Reviews The Dectin-1 cluster comprises seven members: CLEC-12A, CLEC-12B, CLEC-1A, CLEC-7A, CLEC- 2, CLEC-9A and OLR1. These members have been demonstrated to be involved in the tumorigenesis, progression, and metastasis of several cancers. However, little is known about their roles in human lung adenocarcinoma (LUAD). The expression patterns of the Dectin-1 cluster were analyzed via the ONCOMINE and GEPIA databases. We evaluated the prognostic value of the Dectin-1 cluster in patients with LUAD using the Kaplan-Meier plotter and GEPIA. Differential expression was validated with the EMBL-EBI database, and protein expression was analyzed with the HPA… More >

Pihua Han^*†1, Haiming Yang^‡1, Xiang Li^*1, Jie Wu^*, Peili Wang^§, Dapeng Liu^*, Guodong Xiao^¶, Xin Sun^*, Hong Ren^*

Oncology Research, Vol.28, No.7-8, pp. 715-729, 2020, DOI:10.3727/096504020X16037124605559

Abstract The aim of this study was to identify a novel cancer stemness-related ceRNA regulatory axis in lung adenocarcinoma (LUAD) via weighted gene coexpression network analysis of a stemness index. The RNA sequencing expression profiles of 513 cancer samples and 60 normal samples were obtained from the TCGA database. Differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs), and miRNAs (DEmiRNAs) were identified with R software. Functional enrichment analysis was conducted using DAVID 6.8. The ceRNA network was constructed via multiple bioinformatics analyses, and the correlations between possible ceRNAs and prognosis were analyzed using Kaplan–Meier plots. WGCNA was then… More >