HPV types classification according their oncogenic potential
Human Papillomavirus (HPV) is arguably the most common sexually transmitted agent worldwide, either in its clinical (genital warts) or subclinical presentation in men and women. The main interest in HPV relates to its recognized as a causal and necessary factor for cervical cancer one of the most common cancers in women (80% of cases in most developing countries, with an annual incidence of almost half a millon and a mortality rate of approximately 50%) [1-5], and other types of cancer, such as penis, anal or oral cancer .
The overall prevalence of HPV in cervix in women in the general population is 10%. This prevalence is higher in the less developed world than in more developed regions [7, 8]. A review of studies has also shown prevalence of HPV in men as usually 20% or greater, depending on population tested and the type and number of anatomic sities evaluated .
HPV infection is most common in sexually active young women 25 years of age or younger but cervical cancer is common in older woman, suggesting infection at younger age and slow progression to cancer .
The most significant predictor for adquiring HPV infection in men or women appears to be the life time number of sexual parteners [11,12,13]. For women, the sexual activity of their partner(s) is also important, with increased risk of adquiring HPV if their partner had, or currently has, other partners .
Not all women infected with high-risk HPV develop cervical cancer, other factors are necessary: genotype, persistent infection, viral variants, viral load, integration, coinfection, age of 30 years old, inmunosupresión, smoking, condom use, coinfections, long-term use of oral contraceptives, parity and circumcision. [10, 12, 14-24]
About 189 HPV genotypes have been sequence and classified according to their biological niche, oncogenic potential and phylogenetic position . From them, about 40 can infect the genital tract . HPV types are classified based on their association with cervical cancer and precursor lesion into low-risk types (LR-HPV), which are found mainly in genital warts, high-risk types (HR-HPV), which are frequently associated with invasive cervical cancer and undetermined risk types (table 1) [27, 28, 29].
|Risk category||HPV types|
|Low-risk||6,11,40,42,43,44,54, 61,70,72, 81, 83, 89|
Worldwide, HPV-16 is the most common HPV type across the spectrum of HPV related cervical lesions. In women with ICC (invasive cervical cancer), the most common HPV types are HPV-16,18,33,45,31 and 58 [30, 31], but among these genotypes, certain variants have linked to different clinical outcomes. It is now generally accepted that HPV has co-existed with its human host over a very long period of time and has evolved into multiple evolutionary lineages [25, 32]. Intratypic variants of HPV16 have been identified from different geographic locations and are classified according to their host ethnic groups as European (including prototypes and Asian types), Asian American, African and North American . Through epidemiological and in-vitro experimental studies, natural variants of HPV16 have shown substantial differences in pathogenicity, immunogenicity and tumorigenicity. IARC Study  and IARC Meta-analysis  are very robust in identifying that HPV-16 and 18 contibute approximately 70% of all ICC. HPV-16,18 and 45 are the three most relevant types in cervical adenocarcinoma . The geographical variation in type distribution is of minor significance variation.
Among men and women, cancers of the ano-genital tract and their precursor lesions have been strongly linked to infection with sexually transmited human papillomavirus. In men, HPV infection has been strongly associated with anal cancer and is associated with approximately 85% of the anal squamous cell cancers that accur annually worldwide. Likewise, approximately 50% of cancers of penis have been associtated to HPV infection . Genital warts are a common sexually transmitted condition with an estimated prevalence of 1-2% of young adults . Although having genital warts is not associated with mortality, represent a significant public health problem (clinical symptoms and psychosocial problems) and healthcare costs for society [37-39]. More than 90% of genital warts are related to HPV-6 and 11 (low risk genotypes) in general these types are not associated with malignant lesions, however 20-50% of these also contained coinfection with oncogenic HPV types [39-41].
2. Etiopathogenesis of HPV
The HPV virion has a double-stranded, circular DNA genome of approximately 7900bp, with eight overlapping open reading frames, comprising early (E), and late (L) genes and an untranslated long control region, within an icosahedral capsid. The L1 and L2 genes encode the mayor and minor capsid proteins. The capsid contains 72 pentamers of L1, and a pproximately 12 molecules of L2. The early genes regulate viral replication and some have transformation potential. Late genes L6 and L7 code for structural capsid proteins which encapsidate the viral genome. (Figure 1).
Infection by papillomaviruses requires that virus particles gain access to the epithelial basal layer and enter the dividing basal cells. Having entered the epithelial tissues, the HPV virus enters the nucleus of a basal epithelial cell, where early genes E1 and E2 are expressed, replicating the viral genome and transcribing messenger RNA needed for viral replication; in addition to its role in replication and genome segregation, E2 can also act as a transcription factor and can regulate the viral early promoter and control expression of the viral oncogenes (E6 and E7). At low levels, E2 acts as a transcriptional activator, whereas at high levels E2 represses oncogene expression . As the host cells differentiate, genes E4 and E5 assist in the production of the viral genome by controlling epidermal growth factor. E6 and E7 are viral oncogenes which now become important. E6 causes degradation of the tumour suppressor gene p53, while E7 completes for retinoblastoma protein (pRb), allowing the transcription factor E2F to drive cell proliferation processes. The p16 protein, encoded by the suppressor gene CDKN2A (MTS1, INK4A) at chromosome 9p21, is an inhibitor of cyclin dependent kinases (cdk)which slows cell cycle by inactivating the function of the complex-cdk4 and cdk6-cyclin D. These complexes regulate the control point of the G1 phase of the cell cycle with subsequent phosphorylation and inactivation of retinoblastoma (pRb), which E2F released and which allows cells to enter S phase. It has been demonstrated existence of a correlation between pRb and p16 reciprocal, which is why there a strong overexpression of p16 both in carcinomas as in lesions premalignant cervix. In cervical cancer, pRb is functionally inactivated from the initial stages of cervical carcinogenesis as a consequence of expression of HPV E7 gene. Genes E6 and E7 therefore act to remove two principle mechanisms of cell defence, and drive the cell replication machinery towards production of new virus particles. E6 and E7 are also known to promote oncogenesis. 
On the other hand, integration of HPV-DNA into the host DNA is a well known topic in cervical cancer. Integration of HPV 16 DNA correlates with dysfunction of HPV E1 or E2 ORF, which are active during HPV replication. E2 loss of function allows up-regulation of E6 and E7 oncoproteins, because E2 is a repressor of E6 and E7. (Figure 2).
3. Diagnosis of HPV infections
Despite the promising outcomes, vaccination does not exempt from performing periodic control visits, because the effects of the vaccine at 15-20 years and the role other genotypes with oncogenic capacity not included in the vaccine may play are still unknown. Furthermore, there is still a large population of women which has had no access to it. Then, secondary prevention by screening and treatment will continue to be crucially important in cervical cancer prevention programs. Moreover, the fact that infection by HPV provokes long-term symptomatology demands a close follow-up (screening) of those individuals susceptible to infection in order to avoid related problems.
Currently, cervical cancer screening is acknowledged as the most effective approach for cervical cancer control. The primary screening and diagnostic methods have been cytology and histology, but two limitations of the Pap smear exist: low specificity leading to the need for repeat screening at relatively short intervals and cervical cancer screening, based on Pap smear, remains beyond the economic resources of nation in developing world. This economic disparity has meant that cervical cancer incidence and mortality rates in the developing world have remained high, with large reductions in these rates being limited primarily to the industrialized world. Thus, the reduction of cervical cancer in developing nations remains an unmet need of high priority. Since the link between HPV and cervical cancer is known and numerous large scale studies have been done, molecular methods to detect HPV DNA in clinical specimens (vaginal, urethral, paraurethral, anal or pharyngeal exudates, biopsies, and, especially, endocervical exudates) have been introduced into screening algorithms.
Increased sensitivity has important clinical outcomes because reduce mortality and an elongation of screening, and implies better compliance with screening and lower cost . An Italian study showed that HPV-based screening is more effective than cytology in preventing invasive cervical cancer, by detecting persistent high-grade lesions earlier and providing longer low-risk period .
HPV serves as paradigm for the use of NAATs for its diagnosis and typification due to how difficult it is to obtain the virus via cell cultures or to develop indirect diagnosis techniques .
The first protocols for detect HPV were described about 20 years ago, using L1 consensus primers PCR systems, particularly MY09/11 and GP5+/6+ [50-52]. These primer systems have been widely used to study the natural history of HPV and their rule in the development of genital cancer [53-55]. Nowadays, several kits are commercially available which allow for the detection of the virus or the detection and typification of the most relevant HPVs: Amplicor HPV test and Linear array HPV Genotyping test (Roche Diagnostics, Switzerland), Innolipa HPV Genotyping Extra (Innogenetics, Belgium), Biopat kit (Biotools, Spain) or Clart Papillomavirus 2 (Genómica, Spain). The latter uses microarray technology to increase the number of hybridizations in a reduced space. Besides genome amplification, direct hybridization protocols on the sample (hybrid capture) approved by the FDA for diagnosing HPV in women (Hybrid Capture II, Digene, USA) is also used. These protocols identify high and low-risk genotypes without specifying the infecting genotype.
The sensitivity of such methods has left out cytological methods (Papanicolau), which are less sensitive and specific. This high degree of sensitivity allows to extending the period between control visits of women to 5 or 6 years [56, 57].
3.1. Signal amplification systems
The Hybrid Capture II system (HCII, Digene, USA) is a non radioactive signal amplification method based on the hybridization of the target HPV-DNA to labeled RNA probes in solution. The resulting RNA-DNA hybrids are captured onto microtiter wells and are detected by specific monoclonal antibody and chemiluminiscence substrate, providing a semi-quantitative measurement of HPV-DNA. Two different probe cocktails are used, one containing probes for five low-risk gentypes: HPV 6, 11, 42,43 and 44 and the other containing probes for 13 high-risk genotypes: HPV 16,18,31,33,35,39,45,51,52,56,58,59 and 68. However, HCII has some limitations. It distinguishes between the high-risk and low-risk groups but does not permit identification of specific HPV genotypes. Hybrid Capture II (HCII) has been shown to have similar analytic sensitivity to some PCR methods for HPV DNA detection , but present cross-reactivity of the two probe cocktails can reduce the clinical relevance of a positive result [59, 60].
The Hybrid Capture III (HCIII, Digene, USA) is being evaluated as the next generation of hybrid capture clinical assays. A primary technical distinction between HCIII and HCII is that HCIII employs a biotinylated DNA oligonucleotide specific for selected HPV DNA sequences (HPV16 and HPV18) for the capture of the DNA-RNA complexes on streptavidin-coated wells, to reduce false positivity .
3.2. Target amplification systems (PCR)
Type specific primers designed to amplify exclusively a single HPV genotype can be use but multiple type-specific PCR reactions must be performed separately to detect the presence of HPV in a sample. This method is labor-intensive, a little bit expensive and the type –specificity of each PCR primer set should be validated. Alternatively, consensus or general PCR primers can be used to amplify a broad-spectrum of HPV types: genome amplification protocols (PCR) with degenerate primers targeted towards the L1 gene fragment (MY09/MY11) allow for the detection of a wide range of viral subtypes, which are then identified with specific probes [50, 61]. Other consensual primers (PGMY, GP5+/GP6+ or SF10) used on the same target enhance diagnostic sensitivity [52, 62, 63]. Thanks to these protocols, the low and high cancer progression risk genotypes were identified .
Amplification protocols have also experimented great advancements with the application of real-time PCR, which reduces reaction times (e.g. HPV RealTime test, Abbot, USA; GenoID, Hungary). In fact, it is now possible to automate the whole process (Cobas® 4800 HPV Test with 16/18 Genotyping, Roche Diagnostics, Switzerland).
Type-specific PCR primers can be combined with fluorescent probes to real-time detection [64-66] although multiplexing several type specific primers within one reaction can be technically difficult. Broad-spectrum PCR primers have also been used in real-time PCR [67, 68].
The HCII method and consensus PCR assays are currently the most frecuently applied. In last years, RT-PCR is being introduced in clinical microbiology laboratories.
3.3. Full spectrum genotyping
About 40 different HPV types (involved in human genital infections) have been identified based on DNA sequence analysis so far, with a subset of these being classified as high risk. DNA of these types is found in almost all cervical cancers, however, regional variation in the distribution of certain HPV types should be taken into account in the composition of screening “cocktails” for high-risk HPV types from different populations . The diversity of virus types and the incidence of multiple infections have made it necessary to develop reliable methods to identify the different genotypes, for epidemiological studies as well as for the patient follow up . Over the last few years, virus genotyping has become an important way to approach cervical cancer. Then HPV genotype detection could increase specificity in a routine screening program or in post –treatment follow-up (i.e. test of cure) by differentiating transient and sequential infection from persistent infection [70-72].
Population-based genotyping characterizations pre- and post-vaccination will be important to determinate vaccine effectiveness and potential unmasking of niche replacements by non-vaccines HPV types in cytologically normal women and women with low and high grade lesions.
Genotyping assays have been developed, like GP5+/6+ reverse line blot, or MY90/11 dot-blot. Based in these technologies, specific kits have been comercializated: PGMY09/11 linear array (Linear Array® HPV genotyping test; Roche Molecular Systems, Switzeland) and SPF10 LiPA 25 (Inno-LiPA® HPV test, Innogenetics, Belgium). The assays are based on consensus broad spectrum PCR which are subsequently differentiated by type-specific oligonucleotide probe hybrydizacion. These assays have the ability to identify multiple several viruses in cases of multiple infections. In the last years, others assays for HPV genotyping has been commercialised and introduced in clinical and research laboratories with full or partial automation (PapilloCheck HPV-Screening Test, Greiner Bio-One; Clart HPV2, Genomica, Infiniti HPV Genotyping assay, Autogenomics; Cobas 4800 HPV Test, Roche diagnostics; Real Time High Risk HPV test, Abbott Molecular) 
As already reported and in spite of its limitations, sequencing could be considered the gold standard for HPV genotyping, due to the possibility of identifying virtually all virus types without mistaken classifications through cross-reactions among similar types, which can occur using tests based on hybriditation [74, 75]. Nevertheless, it was disadvantaged at identifying genotypes in samples with multiple infections, in which viral sequences overlap and it is not possible to distinguish the various types [74, 76].
In any case, genotyping is a technology that has to be incorporated in the HPV surveillance. Waiting for massive sequencing, now the most promising field is automated methods, because simplifies the testing procedure, increases the sample processing capability, minimizes the human errors, facilitates the quality assurance, reduces the cost and can be developed in multiples laboratories.
4. Screening and progression prognostic biomarkers technologies
Because molecular testing for HR-HPV DNA may detect infection too early in the process, with only a small subset of women developing disease that progresses to cancer, there is interest in defining secondary markers that have potential application in identification of women who need to be followed more closely because they are at higher risk of developing high-grade lesions ; especially, when the positive predictive value of current screening strategies will be diminished in a vaccinated population . Then, the impetus for new screenig or progresion technologies in the developed world is thus predominately driven by the need to increase positive predictive value and reduce over-manegement of low-grade and often transient abnormalities.
In these situations, several surrogate markers are in research.
4.1. HPV viral load
Several studies have suggested that a high HPV-DNA viral load may be a candidate marker that could help identify women at greater risk of CIN progression [64, 65, 79, 80]. It has been reproted that average HPV DNA copy number increases significantly with the grade of CIN mainly for HPV 16, but not for other HR-HPV types [81-83]. Some studies have pointed out that high viral load in cytological normal epithelium could also be a risk factor for neoplasic progression but other studies suggested an important limitation to the utility in screening algorithms for the sustancial overlap oh HPV load values between women without and with CIN and the common presence of more than one carcinogenic HPV type [64, 84].
Real- time PCR techniques have been developed to quantify HPV in clinical samples. Moreover, the HCII provides semiquantitative measurement of HPV–DNA, and some studies have demonstrated that the estimated HCII load correlated well with the precise load generated by RT-PCR [85-86]. However, real-time PCR assays more accurately measure HPV 16 viral load by adjusting the signal obtained for HPV 16 DNA with the amount of cellular DNA calculated for amplification of a human gene, therefore providing a more accurate viral load [64, 65, 87, 88]. However, due to low multiplicity for different HR-HPV types, real-time PCR methods are not suitable as a high-throughput screening tool.
4.2. HPV mRNA
Although HR-HPV genotypes are associated with any grade of dysplasia, these types can be detected in a significant proportion of women with normal cytology. It is konwn that HPV E6 and E7 genes are overexpressed throughout the thickness of epithelial cells in high-grade lesions and cancer. Then, mRNA could be more efficient than cytology for the triage of HPV DNA-positive women, and provides high speficity for high grade cervical intraepithelial neoplasia identification [69, 89-93].
Some authors have developed a real time reverse transcriptase amplificatios (RT–PCR) for HPV detection strategies and suggested that it may be more specific for the detection of symtomatic infections and quantitative increased coordinately with severity of the lesion [94, 95].
These assays incorporates NASBA amplification of E6/7 mRNA transcripts prior to type specific detection via molecular beacons for HPVs 16,18,31,33,and 45. Initial data, on the pronsotic value and specificity for underlying disease, is promising, but the value of this method compared with DNA based assays remains to be determined in large-scale prospective studies [96,97].
Detection of human papillomavirus (HPV) E6/E7 oncogene expression may be more predictive of cervical cancer risk than test HPV-DNA.Commercial test targeting HPV mRNA has been developed: NucliSENS-EasyQ® HPV E6/E7 mRNA assay (Biomerieux, USA) and Aptima HPV test (Gen-Probe, USA) both are a type-specific E6/E7 mRNA test for HR-HPV types performed in one NASBA reaction NucliSENS-EasyQ® HPV E6/E7 mRNA assay detected HPV 16,18,31,33 and 45 with detection and genotyping and Aptima HPV test detects E6/E7 mRNA of 14 oncogenic types HPV16,18,31,33,35,39,45,51,52,56,58,59,66, and 68.
4.3. HPV integration (E2/E6-7 ratio)
Most HR-HPV infections are either latent or permissive. Latent infections are not very well defined, but it is assumed that the viral genome is maintained as an episome in the basal and parabasal cells of the epithelium without inducing obvious phenotypic alterations in the host cell.
The transformation process is characterized by the deregulation of viral oncogenes E6 and E7 in cycling cells which ultimately results in chromosomal instability and the accumulation of mutations. The underlying mechanisms for deregulation are manifold. Integration of the HPV genome is a characteristic step in cervical carcinogenesis and its appearance correlates with the progression of precancerous lesions (CIN2/3) to invasive carcinoma [98-100].
However, integration is not mandatory in this process and was shown to be HPV-type dependent. Vinokurova and colleagues observed that HPV16, 18 and 45 were substantially more often present in an integrated state compared with HPV types 31 and 33 .
The loss of the viral E2 gene is a common consequence of HPV integration. This event may lead to an elevated expression of the oncogenes E6 and E7 due to the fact that E2 is no longer able to repress the expression of the viral oncogenes in trans [102, 103 ]. However, in a recent analysis of biopsy material no correlation between the expression levels of viral oncogene transcripts and the physical state of the viral genome was found [104.
Several investigators have also focussed on the impact integration may have on the host genome. Methods for detection of integrated HPV have been described [87, 105. However, they are affected by similar limitations described for HPV viral load. On the other hand, cervical epithelial cells for women with CIN may simultaneously countain episomal and integrated HPV DNA. Recent data suggest that integration frequency in CIN3 and ICC is variable by HPV genotype, further reducing the desired gains in specificity .
4.4. E6-T350G HPV 16 variant
A variety of HPV types have been characterized on the basis of differences greater than 10% in L1 gene sequence . Isolates of the same type are referred to as “variants” when the nucleotide sequences of their coding genes differ by less than 2%, or when the non-coding region (LCR) differs by as much as 5% . HPV 16 is one of the most important HPV genotypes wich cause serius cervical disorders, but amoung these genotypes, certains variants have been linked to different clinical outcomes. HPV 16 variants have been grouped into six distinct phylogenetic branches: E (European), AA (Asian-American), Af1(African 1), Af2 (African 2), NA (North American), As (Asian) with different geographic distributions. Most HPV16 variants from European and North American samples were classified as European prototype (EP) . Several studies have shown that the infection by the European L83V HPV16 variant, harbouring a nucleotide substitution at position 350 in the E6 gene (E6-T350G), is a risk factor for advanced cervical disease although some discrepant results have also been found [21, 104, 108, 109 ].
Detection of HPV variant has been performed mainly by Sanger sequencing, pyrosequencing or high resolution melting analysis [110, 111]. A new one-step allelic discrimination real time PCR assay to detect the E6-T350G HPV 16 variant was evaluated in clinical samples, this novel allelic discrimination assay is a fast sensitive and specific method .
4.5. p16 enzyme linked inmunosorbent assay
Protein p16 is a cell cycle regulation protein which accumulates in abnormal epithelial cells infected with HR-HPVs as a result of a loss of negative regulation by the retinoblastoma protein induced by E7 expresion . In immunostaining studies, p16 (INK4a) has shown potential as a marker of high grade cervical intraepithelial neoplasia (CIN) and invasive cervical cancer [113, 114]. A recent literature report demonstrates different p16 accuracy according to different anatomical sub-sites. In this complex scenario the p16-IHC test alone or in association to CDKN2a promoter methylation could be used only as screening methods but need to be associated with molecular tests in order to detect HPV-DNA and to assess its integration status. Furthermore, non-dysplastic cells, particulary methaplastic, atrophic and endocervical cells, may display p16 immunoreactivity, thereby reducing specificity .
4.6. Methylation profile
Methylation of CpG islands within gene promoter regions can lead to silencing of gene expression. Methylation of tumor-relevant genes has been identified in many cancers: p16 methylation is the paradigm for epigenetic inactivation of a tumor suppressor gene, leading to abrogation of cell cycle control, escape from senescence, and induction of proliferation.
Methylation has been detected already at precancerous stages, suggesting that methylation markers may have value in cervical cancer screening . Furthermore, methylated DNA is a stable target and allows for flexibility of assay development.The detection of methylated genes from cervical specimens is technically feasible and represents a source for detecting potential biomarkers of relevance to cervical carcinogenesis. In particular, there is the ultimate hope of finding methylation markers that, among HPV-infected women, would indicate the presence of CIN2+ and risk of cancer.
A clear role of methylation in carcinogenesis has been demonstrated only for 6 genes (DAPK1, RASSF1, CDKN2A, RARB, MLH1, and GSTP1 .
During the last years, several new platforms have been developed that allow for accurate high-throughput genome-wide DNA methylation profiling . Markers or marker panels identified in these approaches could be translated to smaller scaled assays such as Methylight to be used in cervical cancer screening, but their use is in research.
4.7. Human telomerase RNA component (hTERC)-gain
It has been generally accepted that carcinogenesis involves the progressive accumulation of genetic abnormalities. Gain at 3q is a common feature of squamous-cell carcinoma (SCC), with an overlapping area of gain at 3q26 having been reported in SCC at different anatomic sites , including cervix of the uterus [120, 121].
The human telomerase RNA component (hTERC) gene, localized on chromosome 3q26, encodes the RNA component of human telomerase, and acts as a template for the addition of the repeat sequence . Genetic studies have shown that amplification of hTERC gene might be an early event commonly involved in the progression of CIN to cervical cancer [123-127].
Amplification of hTERC gene has been identified in many tumor samples and immortalized cell lines using techniques such as fluorescence in situ hybridization (FISH) and Southern blot analysis, suggesting that transcription is upregulated during tumorigenesis . Lan YL et al. confirm that measuring hTERC gene gain could be a useful biomarker to predict the progression of CIN-I or –II to CIN-III and cervical cancer . The present limitation to this assay is the technical complexity and requeriment of highly trained individuals to interpret the FISH staining, however automated methods for reading TERCH FISH slides are under development.
4.8. Other proliferation/cell cycle markers
HPV contributes to neoplastic progression predominantly through the action of two viral oncoproteins (E6 and E7) and is manifested by changes in the expression of host cell cycle regulatory proteins . Such differentially expressed host proteins and nucleic acids may have a role as “biomarkers” of dysplastic cells.
To date, a wide array of molecular markers has been evaluated. Three markers that have shown the greatest potential are the cyclin dependant kinase inhibitor p16INK4 [131, 132] and the DNA replication licensing proteins CDC6 (cell division cycle protein 6) and MCM5 (mini chromosome maintenance 5) . Some authors found that three markers showed a linear correlation between their presence or absence and the grade of dysplasia .
In summary, the relevance of HPV infections requires a close monitoring, especially in certain groups o individuals (e. i. Women older than 30 years old). The accuracy of methos using NAATs has emerged as election in the control of HPV infection. But the search is ongoing for safer: more precise markers which may allow for a better control of the infection . These markers include genome quantification via real-time PCR, viral integration into the human genome via E2-E1/E6-E7 genes ratio or the search of viral variants by sequencing, pyrosequencing or allelic discrimination techniques [24, 109, 135].
Addition of new technologies into existing, highly efective screening programs are considered according to the ability to increase the efficiency of the program (high sensitivity with reduction in unnecessary follow-up of minor, transient infection) .
|HCII||Non radioactive signal amplification method||Not identification of specific HPV genotypes|
|Distinguishes between the high-risk and low-risk HPV||Cross-reactivity between high-risk and low-risk HPV|
|Similar analytic sensitivity to some PCR methods for HPV DNA detection|
|PCR||Non radioactive signal amplification method||Contamination|
|Amenable to use with many-samples|
|HPV genotyping||Discrimination of HPV-18/18 from other high-risk types may have greater positive predictive value.||Moderate to high complexity even with standardized commercial reagents.|
|May differentiate sequential infection with different types from persistent infection with the same type.||Very difficult to establish consensus primer-based genotyping de novo with adequate quality control|
|Useful for test of cure.||Algorithms may be too complicated to be readily translated into clinical practice.|
|Amenable to use with self-sampling.||High cost|
|Compatible with many collection buffers.|
|HPV mRNA||Potential to increase specificity||Moderate to high complexity|
|Objective output.||RNA less stable, not compatible with some common collection buffers|
|Compatibility with self-sampling unknown|
|HPV viral load||Potential to increase specificity||High complexity|
|Objective and quantitative output.||Not pronostic (except for HPV 16)|
|Requires type-specific quantitation|
|HPV integration||Potential to increase specificity||Moderate complexity for DNA methods|
|Objective output.||Very high complexity to detect integrated transcripts|
|Integrated DNA may not be transcriptionally active|
|Requires type-specific assay|
|Common occurrence of mixed episomal and integrated HPV in cervical intraepithelial neoplasia|
|p16 enzyme liked inmunobsorbent assay||Single analyte (p16protein) to detect infection with any high-risk HPV||Moderate complexity|
|May increase specificity by detecting active infection||Compatibility with self-sampling unknown|
|Subjective output||Not compatible with all collection buffers|
|Cost may be lower than DNA/RNA test||Order of sampling may affect performance|
|Methylacion profile||As a marker of disease and not infection, may increase specificity||High complexity|
|Compatible with urine sampling||Sensitivity limited; questionable reproducibility|
|Objective output.||High cost|
|TERC-gain||As a marker of disease and not infection, may increase specificity||Very high complexity|
|Subjective output||High cost|
|May be useful as a pronostic marker|
|Other proliferation/cell cycle markers||As a marker of disease and not infection, may increase specificity||High complexity|
|Subjective output||Questionable reproducibility|