Transcription of human papillomaviruses in nonmelanoma skin cancers of the immunosuppressed

Microbiomes, Their Function, and Cancer: How Metatranscriptomics Can Close the Knowledge Gap

The interaction between the microbial communities in the human body and the onset and progression of cancer has not been investigated until recently. The vast majority of the metagenomics research in this area has concentrated on the composition of microbiomes, attempting to link the overabundance or depletion of certain microorganisms to cancer proliferation, metastatic behaviour, and its resistance to therapies. However, studies elucidating the functional implications of the microbiome activity in cancer patients are still scarce; in particular, there is an overwhelming lack of studies assessing such implications directly, through analysis of the transcriptome of the bacterial community. This review summarises the contributions of metagenomics and metatranscriptomics to the knowledge of the microbial environment associated with several cancers; most importantly, it highlights all the advantages that metatranscriptomics has over metagenomics and suggests how such an approach can be leveraged to advance the knowledge of the cancer bacterial environment.

A novel artificial intelligence-based predictive analytics technique to detect skin cancer

One of the leading causes of death among people around the world is skin cancer. It is critical to identify and classify skin cancer early to assist patients in taking the right course of action. Additionally, melanoma, one of the main skin cancer illnesses, is curable when detected and treated at an early stage. More than 75% of fatalities worldwide are related to skin cancer. A novel Artificial Golden Eagle-based Random Forest (AGEbRF) is created in this study to predict skin cancer cells at an early stage. Dermoscopic images are used in this instance as the dataset for the system's training. Additionally, the dermoscopic image information is processed using the established AGEbRF function to identify and segment the skin cancer-affected area. Additionally, this approach is simulated using a Python program, and the current research's parameters are assessed against those of earlier studies. The results demonstrate that, compared to other models, the new research model produces better accuracy for predicting skin cancer by segmentation.

Understanding human health through metatranscriptomics

Metatranscriptomics has revolutionized our ability to explore and understand transcriptional programs in microbial communities. Moreover, it has enabled us to gain deeper and more specific insight into the microbial activities in human gut, respiratory, oral, and vaginal communities. Perhaps the most important contribution of metatranscriptomics arises, however, from the analyses of disease-associated communities. We review the advantages and disadvantages of metatranscriptomics analyses in understanding human health and disease. We focus on human tissues low in microbial biomass and conditions associated with dysbiotic microbiota. We conclude that a more widespread use of metatranscriptomics and increased knowledge on microbe activities will uncover critical interactions between microbes and host in human health and provide diagnostic basis for culturing-independent, direct functional pathogen identification.

Transcription Properties of Beta-HPV8 and HPV38 Genomes in Human Keratinocytes

Persistent infections with high-risk human papillomaviruses (HR-HPV) from the genus alpha are established risk factors for the development of anogenital and oropharyngeal cancers. In contrast, HPV from the genus beta have been implicated in the development of cutaneous squamous cell cancer (cSCC) in epidermodysplasia verruciformis (EV) patients and organ transplant recipients. Keratinocytes are the in vivo target cells for HPV, but keratinocyte models to investigate the replication and oncogenic activities of beta-HPV genomes have not been established. A recent study revealed, that beta-HPV49 immortalizes normal human keratinocytes (NHK) only, when the viral E8^E2 repressor (E8^-) is inactivated (T. M. Rehm, E. Straub, T. Iftner, and F. Stubenrauch, Proc Natl Acad Sci U S A 119:e2118930119, 2022, https://doi.org/10.1073/pnas.2118930119). We now demonstrate that beta-HPV8 and HPV38 wild-type or E8^- genomes are unable to immortalize NHK. Nevertheless, HPV8 and HPV38 express E6 and E7 oncogenes and other transcripts in transfected NHK. Inactivation of the conserved E1 and E2 replication genes reduces viral transcription, whereas E8^- genomes display enhanced viral transcription, suggesting that beta-HPV genomes replicate in NHK. Furthermore, growth of HPV8- or HPV38-transfected NHK in organotypic cultures, which are routinely used to analyze the productive replication cycle of HR-HPV, induces transcripts encoding the L1 capsid gene, suggesting that the productive cycle is initiated. In addition, transcription patterns in HPV8 organotypic cultures and in an HPV8-positive lesion from an EV patient show similarities. Taken together, these data indicate that NHK are a suitable system to analyze beta-HPV8 and HPV38 replication. IMPORTANCE High-risk HPV, from the genus alpha, can cause anogenital or oropharyngeal malignancies. The oncogenic properties of high-risk HPV are important for their differentiation-dependent replication in human keratinocytes, the natural target cell for HPV. HPV from the genus beta have been implicated in the development of cutaneous squamous cell cancer in epidermodysplasia verruciformis (EV) patients and organ transplant recipients. Currently, the replication cycle of beta-HPV has not been studied in human keratinocytes. We now provide evidence that beta-HPV8 and 38 are transcriptionally active in human keratinocytes. Inactivation of the viral E8^E2 repressor protein greatly increases genome replication and transcription of the E6 and E7 oncogenes, but surprisingly, this does not result in immortalization of keratinocytes. Differentiation of HPV8- or HPV38-transfected keratinocytes in organotypic cultures induces transcripts encoding the L1 capsid gene, suggesting that productive replication is initiated. This indicates that human keratinocytes are suited as a model to investigate beta-HPV replication.

Vaccination with human alphapapillomavirus-derived L2 multimer protects against human betapapillomavirus challenge, including in epidermodysplasia verruciformis model mice

Human alphapapillomaviruses (αHPV) infect genital mucosa, and a high-risk subset is a necessary cause of cervical cancer. Licensed L1 virus-like particle (VLP) vaccines offer immunity against the nine most common αHPV associated with cervical cancer and genital warts. However, vaccination with an αHPV L2-based multimer vaccine, α11-88x5, protected mice and rabbits from vaginal and skin challenge with diverse αHPV types. While generally clinically inapparent, human betapapillomaviruses (βHPV) are possibly associated with cutaneous squamous cell carcinoma (CSCC) in epidermodysplasia verruciformis (EV) and immunocompromised patients. Here we show that α11-88x5 vaccination protected wild type and EV model mice against HPV5 challenge. Passive transfer of antiserum conferred protection independently of Fc receptors (FcR) or Gr-1+ phagocytes. Antisera demonstrated robust antibody titers against ten βHPV by L1/L2 VLP ELISA and neutralized and protected against challenge by 3 additional βHPV (HPV49/76/96). Thus, unlike the licensed vaccines, α11-88x5 vaccination elicits broad immunity against αHPV and βHPV.

Using HPV-meta for human papillomavirus RNA quality detection

In the era of cervical cancer elimination, accurate and validated pipelines to detect human papillomavirus are essential to elucidate and understand HPV association with human cancers. We aimed to provide an open-source pipeline, "HPV-meta", to detect HPV transcripts in RNA sequencing data, including several steps to warn operators for possible viral contamination. The "HPV-meta" pipeline automatically performs several steps, starting with quality trimming, human genome filtering, HPV detection (blastx), cut-off settlement (10 reads and 690 bp coverage to make an HPV call) and finishing with fasta sequence generation for HPV positive samples. Fasta sequences can then be aligned to assess sequence diversity among HPV positive samples. All RNA sequencing files (n = 10,908) present in the cancer genome atlas (TCGA) were analyzed. "HPV-meta" identified 25 different HPV types being present in 488/10,904 specimens. Validation of results showed 99.98% agreement (10,902/10,904). Multiple alignment from fasta files warned about high sequence identity between several HPV 18 and 38 positive samples, whose contamination had previously been reported. The "HPV-meta" pipeline is a robust and validated pipeline that detects HPV in RNA sequencing data. Obtaining the fasta files enables contamination investigation, a non very rare occurrence in next generation sequencing.

Human Papillomavirus Related Neoplasia of the Ocular Adnexa

Human papillomaviruses (HPV) are a large group of DNA viruses that infect the basal cells of the stratified epithelium at different anatomic locations. In the ocular adnexal region, the mucosa of the conjunctiva and the lacrimal drainage system, as well as the eyelid skin, are potential locations for HPV-related neoplasia. The role of HPV in squamous cell neoplasia of the ocular adnexa has been debated for several decades. Due to the rarity of all these tumors, large studies are not available in the scientific literature, thereby hampering the precision of the HPV prevalence estimates and the ability to conclude. Nevertheless, increasing evidence supports that defined subsets of conjunctival papillomas, intraepithelial neoplasia, and carcinomas develop in an HPV-dependent pathway. The role of HPV in squamous cell tumors arising in the lacrimal drainage system and the eyelid is still uncertain. Further, the potential of HPV status as a diagnostic, prognostic, or predictive biomarker in these diseases is a topic for future research.