4.7 Article

Identification of Novel Lung Cancer Driver Genes Connecting Different Omics Levels With a Heat Diffusion Algorithm

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fcell.2022.825272

关键词

lung cancer; driver gene; epigenomics; genomics; transcriptomics; posttranscriptomics; heat diffusion algorithm; protein-protein interaction network

资金

  1. Strategic Priority Research Program of Chinese Academy of Sciences [XDA26040304, XDB38050200]
  2. National Key R and D Program of China [2018YFC0910403]
  3. Fund of the Key Laboratory of Tissue Microenvironment and Tumor of Chinese Academy of Sciences [202002]
  4. science and technology project of Binzhou Medical University [BY2016KYQD22]
  5. medicine and health science technology development program of Shandong Province [2018WS541]

向作者/读者索取更多资源

This study conducted a computational investigation on lung cancer driver genes, involving four omics levels. Through a screening process and intersection operation, novel driver genes involving two omics levels were identified, which were found to be associated with the fundamental pathological mechanisms of lung cancer.
Cancer driver gene is a type of gene with abnormal alterations that initiate or promote tumorigenesis. Driver genes can be used to reveal the fundamental pathological mechanisms of tumorigenesis. These genes may have pathological changes at different omics levels. Thus, identifying cancer driver genes involving two or more omics levels is essential. In this study, a computational investigation was conducted on lung cancer driver genes. Four omics levels, namely, epigenomics, genomics, transcriptomics, and post-transcriptomics, were involved. From the driver genes at each level, the Laplacian heat diffusion algorithm was executed on a protein-protein interaction network for discovering latent driver genes at this level. A following screen procedure was performed to extract essential driver genes, which contained three tests: permutation, association, and function tests, which can exclude false-positive genes and screen essential ones. Finally, the intersection operation was performed to obtain novel driver genes involving two omic levels. The analyses on obtained genes indicated that they were associated with fundamental pathological mechanisms of lung cancer at two corresponding omics levels.

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