| Literature DB >> 30546351 |
Xuelian Wang1,2, Xiumin Huang2, Youzhong Zhang1,2.
Abstract
Human papillomaviruses (HPV) are the first viruses to have been acknowledged to prompt carcinogenesis, and they are linked with cancers of the uterine cervix, anogenital tumors, and head and neck malignancies. This paper examines the structure and primary genomic attributes of HPV and highlights the clinical participation of the primary HPV serotypes, focusing on the roles that HPV-16 and 18 play in carcinogenesis. The mechanisms that take place in the progression of cervical neoplasia are described. The oncogenic proteins E6 and E7 disrupt control of the cell cycle by their communication with p53 and retinoblastoma protein. Epidemiological factors, diagnostic tools, and management of the disease are examined in this manuscript, as are the vaccines currently marketed to protect against viral infection. We offer insights into ongoing research on the roles that oxidative stress and microRNAs play in cervical carcinogenesis since such studies may lead to novel methods of diagnosis and treatment. Several of these topics are surfacing as being critical for future study. One particular area of importance is the study of the mechanisms involved in the modulation of infection and cancer development at cervical sites. HPV-induced cancers may be vulnerable to immune therapy, offering the chance to treat advanced cervical disease. We propose that oxidative stress, mRNA, and the mechanisms of HPV infection will be critical points for HPV cancer research over the next decade.Entities:
Keywords: HPV genotype; HPV vaccine; HPV-induced carcinogenesis; cervical cancer; human papillomaviruses
Year: 2018 PMID: 30546351 PMCID: PMC6279876 DOI: 10.3389/fmicb.2018.02896
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
FIGURE 1HPV classification based on the nucleotide sequence of the capsid protein L1 gene (Burd, 2016).
FIGURE 2Prevalence of high-risk HPV infection among females undergoing cervical screening. HPV testing in routine cervical screening: cross sectional data from the ARTISTIC trial (Kitchener et al., 2006). Compiled using information from Kitchener et al. (2006).
FIGURE 3Human papillomavirus (HPV) life cycle and cancer. Cartoon depicting normal stratified cervical epithelium (left), HPV-infected epithelium (center), and HPV-induced cancer (right). Epithelial layers are indicated on the far left, and HPV life cycle stages are indicated on the far right. Episomal genomes are shown as orange circles and integrated genomes are shown as orange stripes. (Left) Normal keratinocyte differentiation: basal cells divide and daughter cells migrate upward, beginning the differentiation process. As differentiation proceeds, cells exit the cell cycle. Fully keratinized squames slough off from the apical surface. (Middle) Productive HPV infection: HPV virions gain access to basal cells via microwounds. The viral genomes migrate to the nucleus, where they are maintained at ˜100 copies/cell. As daughter cells begin differentiation, viral genomes are amplified. Cell nuclei are retained and chromatin is activated to support viral DNA replication. (Right) Cancer: viral genomes often integrate into the host genome and E6/E7 expression is increased, leading to enhanced proliferation and the accumulation of cellular mutations. Cellular differentiation is lost, and cancerous cells invade into the dermal layer as well as into neighboring tissues (Langsfeld and Laimin, 2016).
FIGURE 4Schematic model of HPV-driven carcinogenesis. (A) A multistep molecular mechanism of host-viral interaction (Senapati et al., 2016). The initial outcome of carcinogenesis is modulated by both viral (high-risk versus low-risk HPV types, HPV integration) and host factors (inflammatory response, oxidative stress). Inflammatory response upon initial infection such as IFN response plays role in reducing episomal HPV resulting clearance of infection. Integration of HPV is (initiated with DNA damage. The IFN induced loss of episomal HPV and down-regulation of E2 leads to the selection of cells with integrated HPV genomes expressing higher levels of E6 and E7. Once the early genes E6 and E7 are expressed, TLR9 down regulated and IFN response impaired, resulting a conducive milieu for immune evasion and persistent infection. Up regulation of E6/E7 increases genetic instability and chromosomal rearrangements that increase the risk of integration. Overexpression of E6/E7 leads to deregulation of the cell cycle via p53 and Rb degradation, deregulation of oncogenes and miRNAs expression. Epigenetic and genetic modification in viral and host genome leads to the deregulation of E6 and E7 oncogenes, and host tumor suppressor genes that lead to carcinogenesis. Oxidative modification of TFs also leads to altered gene expression and carcinogenesis.
Classification of cervical intraepithelial lesions.
| Papanicolaou classification | Dysplasia classification | Bethesda classification | Histology classification |
|---|---|---|---|
| I | Negative squamous atypia | NILM (negative for intraepithelial lesion or malignancy) | Negative |
| II | Squamous atypia | ASCUS (atypical squamous cell of unknown significance), ASC-H (atypical squamous cells – cannot exclude HSIL) | Squamous atypia |
| Mild | LSIL (Low grade squamous intra-epithelial lesions) | CIN1 (abnormal cells in one of the three layers; very unlikely to progress) | |
| II | Moderate | HSIL (high grade squamous intraepithelial lesions) | CIN 2 (Abnormal cells including mitotic figures in two of the three layers with loss of stratification and differentiation) CIN 3 (Abnormal cells in all layers; can progress to invasive cancer if untreated) |
| IV | Severe CIS (carcinoma | HSIL | CIN 3 (abnormal cells in all layers; can progress to invasive cancer if untreated) |
| V | Carcinoma | Carcinoma | Carcinoma |
HPV infection biomarkers.
| Type of biomarker | Test/Technique | Remarks |
|---|---|---|
| HPV DNA testing | Hybrid capture 2 (Qiagen) detects 13 high-risk HPVs | Detects 13 high-risk HPVs |
| Cervista HPV HR (Hologic) detects 14 high-risk HPVs | Detects 14 high-risk HPVs | |
| Cervista HPV 16/18 (Hologic) | Specifically identifies HPV 16 and 18 | |
| Cobas 4800 HPV (Roche diagnostics) | Targets 14 high-risk HPVs | |
| HPV RNA testing | APITMA (Gen-Probe) and OncoTect (IncellDX) | Based on reverse transcriptase and PCR technique. Can detect E6 and E7 mRNA from 14 and 13 high-risk HPA serotypes, respectively |
| PreTect HPV-Proofer (Norchip) and NucliSENS EasyQ (bioMerieux) | Rely on nucleic acid sequence-based amplification (NAS-BA) and are able to detect E6/E7 transcripts from HPV 16, 18, 31, 33, and 45 | |
| HPV protein testing | OncoE6 (Arbor Vita Corporation) | Detects E6 protein encoded by HPV 16, 18, and 45 |
| Cytoactiv assay (cytoimmune diagnostics) | Measures loss of expression of L1 which has been identified as a potential marker of progressive lesions | |
| Cellular biomarkers | P16/K1-67 immunocytochemistry assay | p16 is a CDK-I while K1-67 is a proliferation antigen expressed in the G2 and M phases of the cell cycle. They are co-expressed in dysplastic lesions and constitute a highly sensitive and specific test for CIN 2 or worse lesions |
| ProExCTM assay (Becton-Dickinson) | Recognizes minichromosome maintenance protein 2 and topoisomerase II α, which are expressed in cells with abnormal S-phases such as HPV-infected cells with increased E6/E7 synthesis. | |
| Fluorescence | Can be used to detect gain of chromosomes 3q and 5p which carry the TERC and TERT genes | |
| Epigenetic biomarkers | Differential methylation hybridization (DMH) | Allows identification of SOX1, NKX6-1, PAX1, WX1, and LMXIA genes that are often methylated in cervical cancer and precancerous lesions |
| Restriction landmark genomic scanning (RLGS) | Detection of methylated NOL4 and LHFPL4 genes | |
| Demethylating agent expression microarray | Identifies methylation of SPARC and TFP2 genes |
Efficacy of HPV vaccines available.
| HPV vaccine type (HPV types included) | ||||
|---|---|---|---|---|
| Bivalent (HPV16, 18) | Quadrivalent (6, 11, 16, 18) | Non-avalent (6, 11, 16, 18 31, 33, 45, 52, and 58) | ||
| Efficacy in HPV-naïve women | Prevention of vaccine-specific HPV type infection | 94.3% (HPV16/18) at 3.6 year | 97% (HPV16) at 3.7 year | 96% (HPV16/18) at 4.5 year |
| Prevention of CIN 2+++ associated with vaccine-specific HPV | 92.9% at 3.6 year | 100% (CIN 2) at 3.7 year | 96.3% at 4.5 year | |
| Prevention of CIN 2+ associated with any HPV type | 61.9% at 3.6 year | No data | No data | |
| Prevention of anal HPV associated with any HPV type | 83.6% at 4.0 year | No data | No data | |
| Efficacy in all women (including HPV-exposed) | Prevention of vaccine-specific HPV type infection | 76.4% at 4 year | 42% (HPV16) at 3.7 year | 80.2% at 4.5 year |
| Prevention of CIN 2+ associated with vaccine-specific HPV | 52.8% (CIN 2+) at 3.6 year | 57% (CIN 2) at 3.7 year | No data | |
| Prevention of CIN 2+ associated with any HPV type | 30.4% (CIN 2+) at 3.6 year | 17% (CIN 2+) at 3.7 year | No data | |
| Prevention of Anal HPV associated with any HPV type | 62.0% at 4.0 year | No data | No data | |
| Efficacy in HPV-naïve men | Prevention of vaccine-specific HPV type infection | No data | 47.8% at 2.9 year | No data |
| Prevention of anogenital lesions | No data | 90.4% at 2.9 year | No data | |
| Efficacy in all men (including HPV-exposed) | Prevention of vaccine-specific HPV type infection | No data | 27.1% at 2.9 year | No data |
| Prevention of anogenital lesions | No data | 65.5% at 2.9 year | No data | |
| Reference | FIS | |||