Grupo de Investigación INPAC, Unidad de Investigación, Fundación Universitaria Sanitas, Bogotá, Colombia.
Dirección Académica, Universidad Nacional de Colombia, Sede de La Paz, La Paz, Colombia.
Front Cell Infect Microbiol. 2024 Aug 20;14:1425388. doi: 10.3389/fcimb.2024.1425388. eCollection 2024.
The diagnosis and treatment of lung, colon, and gastric cancer through the histologic characteristics and genomic biomarkers have not had a strong impact on the mortality rates of the top three global causes of death by cancer.
Twenty-five transcriptomic analyses (10 lung cancer, 10 gastric cancer, and 5 colon cancer datasets) followed our own bioinformatic pipeline based on the utilization of specialized libraries from the R language and DAVID´s gene enrichment analyses to identify a regulatory metafirm network of transcription factors and target genes common in every type of cancer, with experimental evidence that supports its relationship with the unlocking of cell phenotypic plasticity for the acquisition of the hallmarks of cancer during the tumoral process. The network's regulatory functional and signaling pathways might depend on the constant crosstalk with the microbiome network established in the oral-gut-lung axis.
The global transcriptomic network analysis highlighted the impact of transcription factors (SOX4, TCF3, TEAD4, ETV4, and FOXM1) that might be related to stem cell programming and cancer progression through the regulation of the expression of genes, such as cancer-cell membrane receptors, that interact with several microorganisms, including human T-cell leukemia virus 1 (HTLV-1), the human papilloma virus (HPV), the Epstein-Barr virus (EBV), and SARS-CoV-2. These interactions can trigger the MAPK, non-canonical WNT, and IFN signaling pathways, which regulate key transcription factor overexpression during the establishment and progression of lung, colon, and gastric cancer, respectively, along with the formation of the microbiome network.
The global transcriptomic network analysis highlights the important interaction between key transcription factors in lung, colon, and gastric cancer, which regulates the expression of cancer-cell membrane receptors for the interaction with the microbiome network during the tumorigenic process.
通过组织学特征和基因组生物标志物对肺癌、结肠癌和胃癌进行诊断和治疗，并未对癌症导致的全球三大主要死亡原因的死亡率产生重大影响。
我们采用了自己的生物信息学分析流程，对 25 项转录组分析（10 项肺癌数据集、10 项胃癌数据集和 5 项结肠癌数据集）进行了分析，这些分析均基于 R 语言的专用库的利用和 DAVID 的基因富集分析，以确定转录因子和靶基因的调控元网络，该网络在每一种癌症中都普遍存在，并且有实验证据支持其与细胞表型可塑性的解锁之间的关系，这种解锁是肿瘤发生过程中获得癌症标志性特征所必需的。该网络的调控功能和信号通路可能依赖于在口腔-肠道-肺部轴中建立的微生物组网络的持续串扰。
全球转录组网络分析强调了转录因子（SOX4、TCF3、TEAD4、ETV4 和 FOXM1）的影响，这些转录因子可能通过调节与多种微生物相互作用的癌细胞膜受体的表达，与干细胞编程和癌症进展有关，这些微生物包括人类 T 细胞白血病病毒 1（HTLV-1）、人乳头瘤病毒（HPV）、爱泼斯坦-巴尔病毒（EBV）和 SARS-CoV-2。这些相互作用可以触发 MAPK、非经典 WNT 和 IFN 信号通路，分别调节肺癌、结肠癌和胃癌建立和进展过程中关键转录因子的过度表达，同时形成微生物组网络。
全球转录组网络分析强调了肺癌、结肠癌和胃癌中关键转录因子之间的重要相互作用，这些相互作用调节了癌细胞膜受体的表达，以便在肿瘤发生过程中与微生物组网络相互作用。
