Wang Xifan, Song Xiaoyan, Wei Hongxuan, Li Xiaoqing, Li Huihui, Zhu Yan, Zhu Chuandong, Chen Fangfang
Department of Oncology, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine, Nanjing 210003, Jiangsu, China.
Institute of Laboratory Medicine, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210002, Jiangsu, China.
Clinics (Sao Paulo). 2025 Aug 7;80:100733. doi: 10.1016/j.clinsp.2025.100733.
Lung cancer is a leading cause of cancer deaths worldwide, underscoring the need for new biomarkers. Circular RNAs (circRNAs) exhibit potential as biomarkers for lung cancer. ZBTB46 is linked to lung cancer prognosis. This study intends to investigate circRNA expression and the role of ZBTB46 in predicting and treating lung cancer.
CircRNAs demonstrate differential expression in lung cancer and paracarcinoma tissues, as identified by high-throughput sequencing (RNA-seq). DEcircRNAs were analyzed through GO and KEGG analyses. A potential circRNA-miRNA-mRNA axis was predicted based on ceRNA theory. ZBTB46 expression in lung cancer tissue was compared to normal tissue. Using the TCGA database, protein expression was compared through the CPTAC and HPA databases.
We identified 411 differentially expressed circRNAs, of which 365 were down-regulated and 46 were up-regulated. By combining qRT-PCR validation results, ceRNA theory, and intersecting data from several databases, hsa_circ_0002872/hsa-miR-29b-1-5p/ZBTB46 was predicted as the most promising downstream regulatory axis. ZBTB46 mRNA and protein expression were reduced in human lung cancer tissue compared to normal tissue.
hsa_circ_0002872/hsa-miR-29b-1-5p/ZBTB46 represents an axis that may influence lung cancer progression, with the molecule ZBTB46 potentially inhibiting lung cancer progression and serving as a useful prognostic indicator.
肺癌是全球癌症死亡的主要原因，这凸显了对新生物标志物的需求。环状RNA（circRNA）展现出作为肺癌生物标志物的潜力。锌指蛋白46（ZBTB46）与肺癌预后相关。本研究旨在调查circRNA的表达以及ZBTB46在预测和治疗肺癌中的作用。
通过高通量测序（RNA-seq）确定circRNA在肺癌组织和癌旁组织中存在差异表达。通过基因本体（GO）和京都基因与基因组百科全书（KEGG）分析对差异表达的circRNA（DEcircRNAs）进行分析。基于竞争性内源RNA（ceRNA）理论预测潜在的circRNA-微小RNA（miRNA）-信使核糖核酸（mRNA）轴。将肺癌组织中ZBTB46的表达与正常组织进行比较。利用癌症基因组图谱（TCGA）数据库，通过临床蛋白质组肿瘤分析联盟（CPTAC）和人类蛋白质图谱（HPA）数据库比较蛋白质表达。
我们鉴定出411个差异表达的circRNA，其中365个下调，46个上调。通过结合定量逆转录聚合酶链反应（qRT-PCR）验证结果、ceRNA理论以及来自多个数据库的交叉数据，预测hsa_circ_0002872/hsa-miR-29b-1-5p/ZBTB46为最有前景的下游调控轴。与正常组织相比，人肺癌组织中ZBTB46的mRNA和蛋白质表达降低。
hsa_circ_0002872/hsa-miR-29b-1-5p/ZBTB46代表了一个可能影响肺癌进展的轴，分子ZBTB46可能抑制肺癌进展并作为一个有用的预后指标。
