Department of Pathology, Anhui Provincial Children's Hospital, 39 Wangjiang East Road, Hefei, 230051, Anhui, China.
Sci Rep. 2023 Nov 21;13(1):20406. doi: 10.1038/s41598-023-47796-0.
Neuroblastoma (NB) is an embryonic tumour that originates in the sympathetic nervous system and occurs most often in infants and children under 2 years of age. Moreover, it is the most common extracranial solid tumour in children. Increasing studies suggest that intercellular communication within the tumour microenvironment is closely related to tumour development. This study aimed to construct a prognosis-related intercellular communication-associated genes model by single-cell sequencing and transcriptome sequencing to predict the prognosis of patients with NB for precise management. Single-cell data from patients with NB were downloaded from the gene expression omnibus database for comprehensive analysis. Furthermore, prognosis-related genes were screened in the TARGET database based on epithelial cell marker genes through a combination of Cox regression and Lasso regression analyses, using GSE62564 and GSE85047 for external validation. The patients' risk scores were calculated, followed by immune infiltration analysis, drug sensitivity analysis, and enrichment analysis of risk scores, which were conducted for the prognostic model. I used the Lasso regression feature selection algorithm to screen characteristic genes in NB and developed a 21-gene prognostic model. The risk scores were highly correlated with multiple immune cells and common anti-tumour drugs. Furthermore, the risk score was identified as an independent prognostic factor for NB. In this study, I constructed and validated a prognostic signature based on epithelial marker genes, which may provide useful information on the development and prognosis of NB.
神经母细胞瘤（NB）是一种起源于交感神经系统的胚胎肿瘤，最常发生于 2 岁以下的婴儿和儿童。此外，它是儿童中最常见的颅外实体瘤。越来越多的研究表明，肿瘤微环境中的细胞间通讯与肿瘤的发展密切相关。本研究旨在通过单细胞测序和转录组测序构建与预后相关的细胞间通讯相关基因模型，以预测 NB 患者的预后，从而进行精确管理。从基因表达综合数据库中下载 NB 患者的单细胞数据进行综合分析。此外，通过 Cox 回归和 Lasso 回归分析相结合，基于上皮细胞标记基因，从 TARGET 数据库中筛选预后相关基因，使用 GSE62564 和 GSE85047 进行外部验证。计算患者的风险评分，然后进行免疫浸润分析、药物敏感性分析和风险评分富集分析，用于预后模型。我使用 Lasso 回归特征选择算法筛选 NB 中的特征基因，并开发了一个 21 基因预后模型。风险评分与多种免疫细胞和常见的抗肿瘤药物高度相关。此外，风险评分被确定为 NB 的一个独立预后因素。在这项研究中，我构建并验证了一个基于上皮标记基因的预后特征，这可能为 NB 的发展和预后提供有用的信息。
