■食管鳞状细胞癌(ESCC)是一种侵袭性和致命的恶性肿瘤,可导致上皮癌。上皮细胞异质性之间的关联,预后,这种癌症的免疫反应仍然不确定。本研究旨在调查ESCC中的上皮细胞异质性,并使用已识别的细胞类型开发预测风险模型。
■单细胞RNA测序(scRNA-seq)和差异ESCC基因数据从基因表达Omnibus获得。功能富集分析,地狱CNV,细胞发育轨迹,上皮细胞表征后分析细胞间通讯。将差异表达的ESCC(n=773)和上皮细胞标记基因(n=3407)交叉获得核心基因,并鉴定了与上皮细胞相关的预后基因。LASSO回归分析用于构建预后模型。使用外部数据集GSE53624进一步验证模型的稳定性。药物敏感性预测,并对免疫细胞浸润进行分析。分子对接阐明了β-谷甾醇在ESCC中的可能治疗作用。最后,伤口愈合试验,细胞集落,并构建transwell法检测核心基因PDLIM2对ESCC细胞增殖的影响,入侵,和移民。
■确定了八个细胞簇,和上皮细胞分为肿瘤组和副瘤组。肿瘤组比副瘤组具有更多的染色体变异。上皮细胞与多种细胞类型相关,并与Wnt显著相关。转化生长因子,和表皮生长因子信号通路。从231个交叉基因中,筛选了五个核心基因用于风险模型:CTSL,LAPTM4B,MYO10、NCF2和PDLIM2。这些基因可能有助于正常食管上皮细胞的癌性转化,从而在ESCC患者中充当生物标志物和潜在的治疗靶标。β-谷甾醇还显示出与这些基因的优异对接潜力。同时,进一步的实验表明,PDLIM2基因在食管鳞癌的进展中起着重要作用。
■我们成功开发了基于上皮细胞的ESCC预后风险模型,该模型解决了ESCC对免疫治疗的反应,并提供了新的癌症治疗选择。
UNASSIGNED: Esophageal squamous cell carcinoma (ESCC) is an aggressive and fatal malignancy that leads to epithelial cancer. The association between epithelial cell heterogeneity, prognosis, and immune response in this cancer remains uncertain. This study aimed to investigate epithelial cell heterogeneity in ESCC and develop a predictive risk model using the identified cell types.
UNASSIGNED: Single-cell RNA sequencing (scRNA-seq) and differential ESCC gene data were accessed from the Gene Expression Omnibus. Functional enrichment analysis, inferCNV, cell development trajectories, and intercellular communication were analyzed following epithelial cell characterization. Differentially expressed ESCC (n = 773) and epithelial cell marker genes (n = 3407) were intersected to obtain core genes, and epithelial cell-related prognostic genes were identified. LASSO regression analysis was used to construct a prognostic model. The external dataset GSE53624 was used to further validate the stability of the model. Drug sensitivity predictions, and immune cell infiltration were analyzed. Molecular docking clarified the possible therapeutic role of β-sitosterol in ESCC. Finally, wound healing assay, cell colony, and transwell assay were constructed to detect the effects of the core gene PDLIM2 on ESCC cell proliferation, invasion, and migration.
UNASSIGNED: Eight cell clusters were identified, and epithelial cells were categorized into tumor and paratumor groups. The tumor group possessed more chromosomal variants than the paratumor group. Epithelial cells were associated with multiple cell types and significantly correlated with the Wnt, transforming growth factor, and epidermal growth factor signaling pathways. From 231 intersected genes, five core genes were screened for use in the risk model: CTSL, LAPTM4B, MYO10, NCF2, and PDLIM2. These genes may contribute to the cancerous transformation of normal esophageal epithelial cells and thereby act as biomarkers and potential therapeutic targets in patients with ESCC. β-Sitosterol furthermore displayed excellent docking potential with these genes. Meanwhile, further experiments demonstrated that the gene PDLIM2 plays a major role in the progression of oesophageal squamous carcinoma.
UNASSIGNED: We successfully developed a risk model for the prognosis of ESCC based on epithelial cells that addresses the response of ESCC to immunotherapy and offers novel cancer treatment options.