Zhao Xiaoxi, Li Lei, Li Yancheng, Liu Yanxiao, Wang Hua, Tabrizi Nika Samadzadeh, Ye Zhou, Zhao Ziru
Department of Ultrasound Medicine, Quzhou People's Hospital, Quzhou, China.
Department of Spinal Surgery, Quzhou People's Hospital, Quzhou, China.
Transl Cancer Res. 2024 Aug 31;13(8):4485-4499. doi: 10.21037/tcr-24-1188. Epub 2024 Aug 27.
Ferroptosis, a form of regulated cell death associated with iron-dependent lipid peroxidation, plays a role in cancer progression. However, the specific mechanisms of ferroptosis in lung adenocarcinoma (LUAD) bone metastasis (BM) remain unclear. Using bioinformatics analysis, this study sought to identify the ferroptosis-associated genes involved in BM in LUAD, thus providing potential novel targets for the treatment of BM in LUAD.
The RNA expression dataset GSE10799 was acquired from the Gene Expression Omnibus (GEO) database, and intersected with the ferroptosis dataset to identify ferroptosis-related differentially expressed genes (DEGs). The expression of candidate genes and their correlation with the prognosis of LUAD patients were validated in The Cancer Genome Atlas (TCGA) database. A protein gene interaction network was constructed using GeneMania and Retrieval of Interacting Genes/Proteins (STRING) databases. The association between the candidate genes and immune cells was assessed via TCGA and Tumor IMmune Estimation Resource (TIMER) databases. The potential mechanisms were elucidated by a gene set enrichment analysis (GSEA). The relevant microRNAs (miRNAs or miRs) that bind to the 3'untranslated region (3'UTR) end of candidate genes' mRNA was explored using the TargetScan database. The expression of these candidate miRNAs in LUAD was validated and the correlation between candidate miRNAs and candidate mRNAs was tested using the TCGA database. Finally, the clinical data of 40 LUAD patients were retrospectively analyzed to evaluate the clinical value of candidate gene expression for LUAD BM patients.
In this research, 15 ferroptosis-related DEGs in LUAD BM were identified. TCGA database analysis indicated that patients with low levels of CDGSH iron-sulfur domain 2 () in LUAD had better disease-specific survival (DSS), overall survival (OS), and a better progression-free interval (PFI) than those with high levels of . The TIMER database results show that the expression of is correlated with the infiltration levels of various immune cells. The GSEA indicated that might influence biological activity in LUAD by participating in cell-cycle regulation, mitochondrial translation, DNA damage repair, c- () activation, and the P53 signaling pathway. Through the combined analysis of the TargetScan and TCGA databases, hsa-miR-320a was identified as the optimal upstream regulatory miRNA. The immunohistochemistry data indicated that the positive CISD2 expression rates and immunohistochemistry scores of the patients with BM were significantly higher than those of the patients without BM (P<0.05). The high expression of CISD2 is a significant risk factor for BM in LUAD.
The downregulation of expression may extend DSS, OS, and the PFI of LUAD patients. Thus, could serve as a novel predictive biomarker for LUAD patients. Further, miR-320a might negatively regulate and participate in LUAD BM by activating . These data provide a potential perspective for developing anticancer therapies for LUAD-BM patients.
铁死亡是一种与铁依赖性脂质过氧化相关的程序性细胞死亡形式,在癌症进展中起作用。然而,肺腺癌(LUAD)骨转移(BM)中铁死亡的具体机制仍不清楚。本研究通过生物信息学分析,旨在鉴定LUAD中参与BM的铁死亡相关基因,从而为LUAD中BM的治疗提供潜在的新靶点。
从基因表达综合数据库(GEO)获取RNA表达数据集GSE10799,并与铁死亡数据集进行交叉分析,以鉴定铁死亡相关的差异表达基因(DEG)。在癌症基因组图谱(TCGA)数据库中验证候选基因的表达及其与LUAD患者预后的相关性。使用GeneMania和相互作用基因/蛋白质检索(STRING)数据库构建蛋白质基因相互作用网络。通过TCGA和肿瘤免疫估计资源(TIMER)数据库评估候选基因与免疫细胞之间的关联。通过基因集富集分析(GSEA)阐明潜在机制。使用TargetScan数据库探索与候选基因mRNA的3'非翻译区(3'UTR)末端结合的相关 microRNA(miRNA或miR)。在LUAD中验证这些候选miRNA的表达,并使用TCGA数据库测试候选miRNA与候选mRNA之间的相关性。最后,回顾性分析40例LUAD患者的临床数据,以评估候选基因表达对LUAD BM患者的临床价值。
在本研究中,鉴定出LUAD BM中15个铁死亡相关的DEG。TCGA数据库分析表明,LUAD中CDGSH铁硫结构域2(CISD2)水平低的患者比CISD2水平高的患者具有更好的疾病特异性生存(DSS)、总生存(OS)和无进展生存期(PFI)。TIMER数据库结果显示,CISD2的表达与各种免疫细胞的浸润水平相关。GSEA表明,CISD2可能通过参与细胞周期调控、线粒体翻译、DNA损伤修复、c-Jun氨基末端激酶(JNK)激活和P53信号通路影响LUAD中的生物学活性。通过TargetScan和TCGA数据库的联合分析,hsa-miR-320a被鉴定为最佳上游调节miRNA。免疫组织化学数据表明,BM患者的CISD2阳性表达率和免疫组织化学评分显著高于无BM患者(P<0.05)。CISD2的高表达是LUAD中BM的一个重要危险因素。
CISD2表达的下调可能延长LUAD患者的DSS、OS和PFI。因此,CISD2可作为LUAD患者的一种新的预测生物标志物。此外,miR-320a可能通过激活JNK负向调节CISD2并参与LUAD BM。这些数据为开发针对LUAD-BM患者的抗癌疗法提供了潜在的前景。