Kuchi Aditi, Wu Jiande, Fuloria Jyotsna, Hicks Chindo
Department of Genetics and the Bioinformatics and Genomics Program, Louisiana State University Health Sciences Center, School of Medicine, 533 Bolivar Street, New Orleans, LA 70112, USA.
University Medical Center New Orleans, 2000 Canal Street, New Orleans, LA 70112, USA.
Int J Environ Res Public Health. 2022 Mar 15;19(6):3454. doi: 10.3390/ijerph19063454.
Lung cancer patients have the worst outcomes when affected by coronavirus disease 2019 (COVID-19). The molecular mechanisms underlying the association between lung cancer and COVID-19 remain unknown. The objective of this investigation was to determine whether there is crosstalk in molecular perturbation between COVID-19 and lung cancer, and to identify a molecular signature, molecular networks and signaling pathways shared by the two diseases.
We analyzed publicly available gene expression data from 52 severely affected COVID-19 human lung samples, 594 lung tumor samples and 54 normal disease-free lung samples. We performed network and pathways analysis to identify molecular networks and signaling pathways shared by the two diseases.
The investigation revealed a signature of genes associated with both diseases and signatures of genes uniquely associated with each disease, confirming crosstalk in molecular perturbation between COVID-19 and lung cancer. In addition, the analysis revealed molecular networks and signaling pathways associated with both diseases.
The investigation revealed crosstalk in molecular perturbation between COVID-19 and lung cancer, and molecular networks and signaling pathways associated with the two diseases. Further research on a population impacted by both diseases is recommended to elucidate molecular drivers of the association between the two diseases.
肺癌患者感染2019冠状病毒病（COVID-19）时预后最差。肺癌与COVID-19之间关联的分子机制尚不清楚。本研究的目的是确定COVID-19与肺癌之间在分子扰动方面是否存在相互作用，并识别这两种疾病共有的分子特征、分子网络和信号通路。
我们分析了来自52例受严重影响的COVID-19人类肺样本、594例肺肿瘤样本和54例无疾病的正常肺样本的公开可用基因表达数据。我们进行了网络和通路分析，以识别这两种疾病共有的分子网络和信号通路。
该研究揭示了与两种疾病相关的基因特征以及每种疾病特有的基因特征，证实了COVID-19与肺癌之间在分子扰动方面存在相互作用。此外，分析还揭示了与两种疾病相关的分子网络和信号通路。
该研究揭示了COVID-19与肺癌之间在分子扰动方面的相互作用，以及与这两种疾病相关的分子网络和信号通路。建议对受这两种疾病影响的人群进行进一步研究，以阐明这两种疾病之间关联背后的分子驱动因素。
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