Computational and Structural Biotechnology Journal (Jan 2021)

Analysis of the immune landscape in virus-induced cancers using a novel integrative mechanism discovery approach

  • Lindsay M. Wong,
  • Wei Tse Li,
  • Neil Shende,
  • Joseph C. Tsai,
  • Jiayan Ma,
  • Jaideep Chakladar,
  • Aditi Gnanasekar,
  • Yuanhao Qu,
  • Kypros Dereschuk,
  • Jessica Wang-Rodriguez,
  • Weg M. Ongkeko

Journal volume & issue
Vol. 19
pp. 6240 – 6254

Abstract

Read online

Background: The mechanisms of carcinogenesis from viral infections are extraordinarily complex and not well understood. Traditional methods of analyzing RNA-sequencing data may not be sufficient for unraveling complicated interactions between viruses and host cells. Using RNA and DNA-sequencing data from The Cancer Genome Atlas (TCGA), we aim to explore whether virus-induced tumors exhibit similar immune-associated (IA) dysregulations using a new algorithm we developed that focuses on the most important biological mechanisms involved in virus-induced cancers. Differential expression, survival correlation, and clinical variable correlations were used to identify the most clinically relevant IA genes dysregulated in 5 virus-induced cancers (HPV-induced head and neck squamous cell carcinoma, HPV-induced cervical cancer, EBV-induced stomach cancer, HBV-induced liver cancer, and HCV-induced liver cancer) after which a mechanistic approach was adopted to identify pathways implicated in IA gene dysregulation. Results: Our results revealed that IA dysregulations vary with the cancer type and the virus type, but cytokine signaling pathways are dysregulated in all virus-induced cancers. Furthermore, we also found that important similarities exist between all 5 virus-induced cancers in dysregulated clinically relevant oncogenic signatures and IA pathways. Finally, we also discovered potential mechanisms for genomic alterations to induce IA gene dysregulations using our algorithm. Conclusions: Our study offers a new approach to mechanism identification through integrating functional annotations and large-scale sequencing data, which may be invaluable to the discovery of new immunotherapy targets for virus-induced cancers.

Keywords