A cross-sectional study of human papillomavirus genotype distribution and integration status in penile cancer among Chinese population

Human papillomavirus (HPV) has been recognized as an important risk factor in penile cancer. This study aimed to investigate the HPV subtypes and integration status in Chinese patients. Samples were collected from 103 penile cancer patients aged 24-90 years between 2013 and 2019. We found that HPV infection rate was 72.8%, with 28.0% integration. The aging patients were more susceptible to HPV (p = 0.009). HPV16 was the most frequent subtype observed (52/75) and exhibited the highest frequency of integration events, with 11 out of 30 single infection cases showing integration positive. The HPV integrations sites in the viral genome were not randomly distributed, the breakpoints were enriched in the E1 gene (p = 0.006) but relatively scarce in L1, E6 and E7. Our research might provide some clues how HPV leads to the progression of penile cancer.

Multi-region sequencing depicts intratumor heterogeneity and clonal evolution in cervical cancer

Cervical cancer is a heterogeneous malignancy mainly caused by human papillomavirus (HPV). While a few studies have revealed heterogeneity of cervical cancer in chromosome levels, the correlation between genetic heterogeneity and HPV integration in cervical cancer remains unknown. Here, we applied multi-region whole-exome sequencing and HPV integration analysis to explore intratumor heterogeneity in cervical cancer. We sequenced 20 tumor regions and 5 adjacent normal tissues from 5 cervical cancer patients, analysis based on somatic mutations and somatic copy number alterations (SCNAs) levels were performed. Variable heterogeneity was observed between the five patients with different tumor stages and HPV infection statuses. We found HPV integration has a positive effect on somatic mutation burden, but the relation to SCNAs remains unclear. Frequently mutated genes in cervical cancer were identified as trunk events, such as FBXW7, PIK3CA, FAT1 in somatic mutations and TP63, MECOM, PIK3CA, TBL1XR1 in SCNAs. New potential driver genes in cervical cancer were summarized including POU2F2, TCF7 and UBE2A. The SCNAs level has potential relation with tumor stage, and Signature 3 related to homologous recombination deficiency may be the appropriate biomarker in advanced cervical cancer. Mutation signature analysis also revealed a potential pattern that APOBEC-associated signature occurs in early stage and signatures associated with DNA damage repair arise at the later stage of cervical cancer evolution. In a conclusion, our study provides insights into the potential relationship between HPV infection and tumor heterogeneity. Those results enhanced our understanding of tumorigenesis and progression in cervical cancer.