Monkeypox, an infectious virus that is a member of the Poxviridae family, has raised great threats to humans. Compared to the known oncoviruses, the relationship between monkeypox and cancer still remains obscure. Hence, in this study, we analyzed the multi-omics data from the Cancer Genome Atlas (TCGA) database by using genomic and transcriptomic approaches to comprehensively assess the monkeypox-related genes (MRGs) in tumor samples from 33 types of cancers. Based on the results, the expression of MRGs was highly correlated with the immune infiltration and could be further utilized to predict survival in cancer patients. Furthermore, it was shown that tumorigenesis and patient survival were frequently associated with the genomic alterations of MRGs. Moreover, pathway analysis showed that MRGs participated in the regulation of apoptosis, cell cycle, Epithelial to Mesenchymal Transition (EMT), DNA damage, and hormone androgen receptor (AR), as well as RAS/MAPK and RTK signaling pathways. Besides, we also developed the prognostic features and consensus clustering clusters of MRGs in cancers. Lastly, by mining the cancer drug sensitivity genomics database, we further identified a series of candidate drugs that may target MRGs. Collectively, this study revealed genomic alterations and clinical features of MRGs, which may provide new hints to explore the potential molecular mechanisms between viruses and cancers as well as to provide new clinical guidance of cancer patients who also face the threats during the monkeypox epidemic.

Influenza A virus has been shown to be closely linked to diverse malignancies and may work as an oncovirus. However, the specific role of influenza A virus as well as its target genes in cancer initiation and progression remain unclear. Thus, in this study, a comprehensive evaluation of influenza A virus target genes (IATGs) was performed in thirty-three tumor types by using multi-omics data from The Cancer Genome Atlas (TCGA) and The Cancer Proteome Atlas (TCPA) databases. In the genomic landscape, a high frequency of genetic and epigenetic alterations in the IATGs were found and subsequently affected tumor progression. Moreover, transcriptome analysis revealed that the expression of IATGs was differentially expressed in diverse tumors and could be used to predict clinical survival in patients. In addition, IATGs were also closely associated with cancer-related signaling pathways as well as the immune microenvironment. Furthermore, the involvement of IATGs in the regulation of the resistance of anti-cancer drugs was uncovered. The transcript expression of six identified IATGs in kidney renal clear cell carcinoma (KIRC) was validated by qRT-PCR. In conclusion, this study revealed the genomic alterations and clinical features of IATGs, which may provide new hints for exploring the potential molecular mechanisms between tumors and the influenza A virus. This will also provide new clues for developing novel targeted therapeutic strategies such as viral immunotherapy, promoting the discovery of tumor-related viruses, and designing individualized treatment for tumor patients.