Feng Fan, Xu Wanjie, Lian Chaoqun, Wang Luyao, Wang Ziqiang, Chen Huili, Wang Xiaojing, Wang Hongtao, Zhang Jing
Anhui Provincial Key Laboratory of Immunology in Chronic Diseases, Research Center of Laboratory Medicine, School of Laboratory Medicine, Bengbu Medical University, Bengbu, 233030, China.
School of Biological and Food Engineering, Suzhou University, Anhui 234000, China.
J Cancer. 2024 Aug 13;15(16):5329-5350. doi: 10.7150/jca.97898. eCollection 2024.
: There is an association between LUAD and TB, and TB increases the risk of lung adenocarcinogenesis. However, the role of TB in the development of lung adenocarcinoma has not been clarified. : DEGs from TB and LUAD lung samples were obtained to identify TB-LUAD-shared DEGs. Consensus Clustering was performed on the TCGA cohort to characterize unique changes in TB transcriptome-derived lung adenocarcinoma subtypes. Prognostic models were constructed based on TB signatures to explore the characterization of subgroups. Finally, experimental validation and single-cell analysis of potential markers were performed. : We characterized three molecular subtypes with unique clinical features, cellular infiltration, and pathway change manifestations. We constructed and validated TB-related Signature in six cohorts. TB-related Signature has characteristic alterations, and can be used as an effective predictor of immunotherapy response. Prognostically relevant novel markers , , and were validated by RT-qPCR. The association between and lung adenocarcinoma disease progression was verified in Bulk transcriptome and single-cell transcriptome. : For the first time, a comprehensive bioinformatics analysis of tuberculosis signatures was used to identify subtypes of lung adenocarcinoma. The TB-related Signature predicted prognosis and identified potential markers. This result reveals a potential pathogenic association of tuberculosis in the progression of lung adenocarcinoma.
肺腺癌(LUAD)与肺结核(TB)之间存在关联,且肺结核会增加肺腺癌发生的风险。然而,肺结核在肺腺癌发展中的作用尚未阐明。:获取来自肺结核和肺腺癌肺样本的差异表达基因(DEGs),以鉴定肺结核 - 肺腺癌共享的差异表达基因。对癌症基因组图谱(TCGA)队列进行一致性聚类,以表征源自肺结核转录组的肺腺癌亚型的独特变化。基于肺结核特征构建预后模型,以探索亚组的特征。最后,对潜在标志物进行实验验证和单细胞分析。:我们表征了三种具有独特临床特征、细胞浸润和通路变化表现的分子亚型。我们在六个队列中构建并验证了与肺结核相关的特征。与肺结核相关的特征具有特征性改变,可作为免疫治疗反应的有效预测指标。通过逆转录定量聚合酶链反应(RT-qPCR)验证了与预后相关的新型标志物、和。在批量转录组和单细胞转录组中验证了与肺腺癌疾病进展之间的关联。:首次使用对肺结核特征的全面生物信息学分析来鉴定肺腺癌的亚型。与肺结核相关的特征预测了预后并鉴定了潜在标志物。这一结果揭示了肺结核在肺腺癌进展中的潜在致病关联。