Skip to main content

A review of methods for detect human Papillomavirusinfection


Human Papillomavirus (HPV) is the most common sexually transmitted virus. Worldwide, the most common high-risk (HR)-HPV are -16/18, and approximately 70% of cervical cancers (CC) are due to infection by these genotypes. Persistent infection by HR-HPV is a necessary but not sufficient cause of this cancer, which develops over a long period through precursor lesions, which can be detected by cytological screening. Although this screening has decreased the incidence of CC, HPV-related cervical disease, including premalignant and malignant lesions, continues to be a major burden on health-care systems. Although not completely elucidated, the HPV-driven molecular mechanisms underlying the development of cervical lesions have provided a number of potential biomarkers for both diagnostic and prognostic use in the clinical management of women with HPV-related cervical disease, and these biomarkers can also be used to increase the positive predictive value of current screening methods. In addition, they can provide insights into the biology of HPV-induced cancer and thus lead to the development of nonsurgical therapies. Considering the importance of detecting HPV and related biomarkers, a variety of methods are being developed for these purposes. This review summarizes current knowledge of detection methods for HPV, and related biomarkers that can be used to discriminate lesions with a high risk of progression to CC.


Human Papillomavirus (HPV) is the most common sexually transmitted virus [1]. There are around 100 types of HPV, with different variations in their genetic and oncogenic potential [2]. Cervical cancer (CC) is caused by types of HPV that belong to a few phylogenetically related “high-risk” (HR) species (alpha-5, 6, 7, 9, 11) of the mucosotropic alpha genus [3, 4]. The types found most frequently in CC (-16, -18, -31, -33, -35, -45, -52, -58) and four less-common types (-39, -51, -56, -59) were classified in Group 1. The remaining types of HPV in the HR alpha species were classified as “possibly carcinogenic” (Group 2. 2A: -68; 2B: -26, -30, -34, -53, -66, -67, -69, -70, -73, -82, -85, -97). Finally, HPV -6 and -11, which belong to the alpha-10 species, were “not classifiable as to their carcinogenicity in humans” (Group 3) [5] and were also described as “low risk” (LR) [6].

Worldwide, the most common HR-HPV are -16/18, and approximately 70% of CC are due to these genotypes. LR-HPV, principally -6/11, are predominantly involved in the development of genital warts [6]. CC is the second most common cancer in women worldwide, and is a major cause of morbidity and mortality [7]. Persistent infection with HR-HPV is a necessary but not sufficient cause of this cancer, which develops over a long period of time through precursor lesions, which can be detected by cytological screening. The majority of these lesions regress spontaneously without treatment. The challenge of CC screening is to detect the lesions that have a high risk of progression [8, 9].

Although cervical cytology screening has decreased the incidence of CC, HPV-related cervical disease, including premalignant and malignant lesions, continues to represent a major burden on health-care systems. Some of the problems include the potential for either under- or overtreatment of women, due to low specificity of screening tests, as well as to significant variability in the diagnosis of cervical dysplastic lesions. Although not completely elucidated, the HPV-driven molecular mechanisms underlying the development of cervical lesions have provided a number of potential biomarkers for both diagnostic and prognostic use in the clinical management of these women, and have increased the positive predictive value of current screening methods [10].

Considering the importance of detection of HPV and related biomarkers, several methods are being developed for these purposes. This review summarizes current knowledge about detection methods for HPV and related biomarkers that can be used to discriminate lesions with a high risk of progression to CC.

Molecular methods for HPV detection

HPV cannot be propagated in tissue culture, and therefore, in most cases its accurate identification relies on molecular biology techniques. With a double-stranded DNA genome of about 8000 base pairs (bp) and a well-known physical structure and gene organization, the tests of choice for detecting HPV in clinical specimens are based on nucleic probe technology [11] (Figure 1).

Figure 1
figure 1

Genome organization of HPV. Location of the HPV major proteins. The HPV genome encodes early proteins with regulatory (E1 and E2) and transforming (E6 and E7) functions and two late capsid proteins (L1 and L2). Protein E4 has a largely unknown function and E5 is a hydrophobic protein that enhances cell immortalization. Adapted from Faridi R, Zahra A, Khan K, Idrees M. Virol J. 2011; 8:269.

The six main possible clinical applications of HPV DNA testing are: (i) triage of women with equivocal or low-grade cytological abnormalities; (ii) follow-up of women with abnormal screening results who are negative at colposcopy/biopsy; (iii) prediction of the therapeutic outcome after treatment of cervical intraepithelial neoplasia (CIN); (iv) primary screening for HPV DNA testing, alone or in combination with a Pap smear, to detect cervical-cancer precursors [12]; (v) gain valuable information on the persistence of certain HPV types [13]; and (vi) investigations of regional and country-based prevalence of type-specific HPV, to provide baseline values against which the global impact of HPV vaccination can be assessed in the future [14].

Two HPV vaccines are commercially available, a bivalent (types -16/18) and quadrivalent (types -6, -11, -16 and 18) [15]. Vaccination against HPV-16/18 in particular can potentially prevent more than two-thirds of CC worldwide. Promising new broad-spectrum HPV vaccines are in development [16]. In addition, novel strategies based on the use of HPV DNA assays for primary cervical screening are increasingly recommended [14].

The presence of HPV can be inferred from morphological, serological and clinical findings [11, 17]. However, HPV diagnosis relies on molecular-biology techniques that allow its accurate detection and typing [18]. At present, nucleic acid-hybridization assays, signal-amplification assays and nucleic-acid amplification are available (Figure 2) (Table 1).

Figure 2
figure 2

Schematic diagram of classification for HPV tests.

Table 1 Benefits and weaknesses of the molecular methods for HPV detection

Nucleic acid-hybridization assays

Initially, techniques such as Southern blotting, in situ hybridization, and dot-blot hybridization used radio-labeled nucleic acid hybridization assays to detect HPV infection in cervical samples. Although these techniques generated high-quality information, the disadvantages of these direct-probe approaches include low sensitivity, the need for relatively large amounts of purified DNA, and time-consuming procedures [11].

Signal-amplification assays

The Digene® HPV test using Hybrid Capture® 2 (hc2) technology, and the Cervista® HPV HR assay are the only methods that currently have FDA (Food and Drug Administration) approval for diagnostic testing in the United States [19].

The Hybrid Capture® 2 system (hc2, Digene Corp., USA) is a non-radioactive signal-amplification method based on the hybridization of the target HPV-DNA to labeled RNA probes in solution [20]. This test detects 13 HR-HPV types (-16,-18,-31,-33,-35,-39,-45,-51,-52,-56,-58,-59 and -68) or 5 LR-types (-6, -11, -42, -43, and -44) [19].

This assay distinguishes between HR and LR groups, but was not designed for genotyping single HPV [19]. This is a significant finding, since with persistent infection the risk of a precancerous lesion is between 10 and 15% with HPV types -16/18, and below 3% for all other HR types combined. Therefore, HPV genotyping is very important to identify single oncogenic HPV types [21] and to provide more information regarding risk-stratification as well as persistence of infection [22, 23].

The Cervista® HPV (Hologic, Inc., Marlborough, MA, USA) detects the presence of 14 HR-HPV types, consisting of -16,-18,-31,-33,-35,-39,-45,-51,-52,-56,-58,-59,-66 and -68 [19]. This assay also utilizes a signal-amplification method for the detection of specific nucleic acids.

In comparison with hc2, the Cervista® assay demonstrated 100% sensitivity in the detection of CIN III and 98% sensitivity in the detection of CIN II [24]. In addition, this assay showed a lower false-positive rate, and high sensitivity and specificity to genotyping HPV -16/18 [25, 26].

Nucleic acid-amplification methods

Microarray analysis

This method uses probe amplification, the PCR (Polymerase chain reaction) product is hybridized onto a chip, and after a washing step, hybridized signals are visualized with a DNA chip scanner [27]. The microarray-based automated techniques allow for parallel analysis of multiple DNA samples. At present, the two major applications of DNA microarrays are gene-expression profiling and mutation analysis [28].

Some studies have demonstrated that DNA microarray analysis coupled with PCR can be successfully applied to detection and genotyping of the HPV. The HPV DNA chip showed higher sensitivity and specificity than gel electrophoresis, and in some cases produced better results than direct DNA sequencing [29, 30].


This assay detects and genotypes 24 HPV types in a single reaction (HPV -6, -11, -16, -18, -31, -33, -35, -39, -40, -42, -43, -44, -45, -51, -52, -53, -55, -56, -58, -59, -66, -68, -70, -73, and -82). The assay uses a multiplex PCR with fluorescent primers to amplify a 350 bp fragment of the E1 gene of HPV, comprising 28 probes, each in 5 replicate spots fixed on a DNA chip. Co-amplification of the human ADAT1 gene is used as internal control. The hybridization is performed on a microarray chip, which is automatically scanned and analyzed using the CheckScanner™ at both 532 and 635 nm, and the Check-Report™ software, respectively [31, 32].

The main advantages of the PapilloCheck® assay (Greiner Bio-One GmbH, Frickenhausen, Germany) is HR/LR-HPV identification, and detection of multiple infections, and may be considered a reliable screening test [30]. However, this assay does not amplify HPV -35 and -53, the cost is still relatively high, and it requires specific apparatus [3335].

Polymerase chain reaction (PCR)

The PCR-based techniques are highly sensitive, specific, and widely used. In a conventional PCR, the thermostable DNA polymerase recognizes and extends a pair of oligonucleotide primers that flank the region of interest. In the final process, the PCR can generate one billion copies from a single double-stranded DNA molecule after 30 cycles of amplification [36].

The HPV-PCR protocols use consensus primers such as PGMY09/PGMY1 and GP5+/GP6+, which allow amplification of a large number of HPV genotypes in a single reaction. The primers target conserved regions of the HPV genome, such as the L1 capsid gene [37]. After amplification, the HPV genotypes can be determined separately, using techniques such as restriction-fragment length polymorphism (RFLP), linear probe assays, direct sequencing, or genotype-specific primers [38]. Some researchers have used a type-specific PCR, with primers that amplify the long control region L1 and E6/E7 [39].

These PCR techniques also have some drawbacks, mainly in competition for reagents, leading to false negative results for multiple type infections that are contained in samples at lower copy numbers. Because of this problem, the PCR method may not detect all the HPV genotypes that are present in the sample. Another downside is that multiple infections are not uncommon [29]. Amplification of samples containing DNA from more than one HPV genotype can lead to a much stronger amplification of one of the sequences present, which would complicate the detection of all genotypes in a sample with multiple infections. Sometimes, additional, labor-intensive procedures, such as sequencing or type-specific PCR, are required [38].


Genotyping by PCR-RFLP allows the HPV to be typed, and is easier and less expensive than sequencing [40]. The method is simple and robust, does not require sophisticated equipment, and is particularly suited to settings in which financial resources are limited [38, 41]. PCR-RFLP shows good discriminatory power by differentiating the virus in HR or LR, and it is possible to identify single or multiple infections. In this technique, the amplified DNA is digested by restriction enzymes, resulting in DNA fragments of various lengths. The commonest restriction enzymes are BamHI, Dd6eI, HaeIII, HinfI, PstI and RsaI [42]. However, Santiago et al. used a single restriction enzyme, HpyCH4V, to detect 21 HR- and 31 LR-HPV genotypes [43].

Real-time PCR

This assay is a reliable, sensitive, and specific diagnostic tool for detection and genotyping of targeted HPV genotypes in tissue specimens [44] and cellular samples. The advantages of this method are: (i) ability to detect viral load; (ii) with the use of different fluorochromes that emit fluorescence, as the PCR reaction proceeds, the reactions can be performed in multiples and can amplify different nucleic-acid targets; (iii) nucleic acids can be detected even in very small concentrations, using a 7-log dynamic range to extrapolate the viral load/concentration over the standard curve; and finally, (iv) it is extremely reproducible, rapid, and applicable to clinical samples [45].

Abbott real-time PCR

The Abbott Real-Time HR-HPV test is a novel assay based on concurrent individual genotyping for HPV-16 /18 and pooled detection of 12 HPV genotypes: -31, -33, -35, -39, -45, -51, -52, -56, -58, -59, -66 and -68 [44].

COBAS® 4800 HPV test

This test features automated sample preparation combined with Real-Time PCR technology to detect 14 HR-HPV. The PCR amplification and detection occur in a single tube, (i) HPV -16, (ii) HPV -18, (iii) 12 HR (-31, -33, -35, -39, -45, -51, -52, -56, -58, -59, -66, and -68) as a pool, and (iv) β-globin as the control for extraction and amplification adequacy [46].

The agreement between COBAS® 4800 (Roche Molecular Systems, Pleasanton, CA, USA) and Real-Time PCR was strong in a study that determined the reproducibility, involving a sequence of several consecutive steps, both intra- and interlaboratory [46]. The assay is easy to use because it is adapted for primary specimens, and the results can be obtained approximately 4h after the sample is received. COBAS® 4800 fulfills all requirements as defined in the international guidelines to consider it clinically validated for screening, and is reliable in the detection of HR-HPV [47]. This test has been clinically validated for ASC-US triage [48].

HPV genome sequencing

The dideoxy chain-termination technique (Sanger technique) was first described for genome sequencing more than three decades ago [49]. Fluorescently labeled nucleotides were incorporated into Sanger sequencing, and advances have led to increasing expansion and development of high-quality, thorough sequencing [50, 51]. However, it has not been validated for clinical use.

Similar to dideoxy sequencing methods, pyrosequencing is applicable to any source of DNA or RNA that can be amplified by PCR (blood, saliva, cell line, plasma, serum, tissue, formalin-fixed paraffin-embedded samples, and whole genome-amplified DNA). The method is based on the detection of the pyrophosphate released during DNA synthesis, and has many advantages over dideoxy sequencing for a wide range of applications that require short-to medium-sequence stretches. The primary advantage is simplicity: the readout sequence itself is obtained, rather than a fluorescent signal that must be converted to a sequence. Second, it is faster and less expensive: savings result from its sequence-by-synthesis process where a DNA sequence is read in real time, and it is synthesized by addition of inexpensive, unlabeled nucleotides; and finally, the method is uniquely quantitative [52].

CLART® human papillomavirus 2

The CLART® Human Papillomavirus 2 (Genomica, Madrid, Spain) methodology uses biotinylated primers that amplify a 450 bp fragment within the HPV L1 region. Co-amplification of an 892 bp region of the FTR gene and a 1.202 bp fragment of a transformed plasmid provides a control to ensure DNA extraction adequacy and PCR efficiency. Amplicons are detected by hybridization in a low-density microarray containing triplicate DNA probes specific for 35 HPV (-6, -11, -16, -18, -26, -31, -33, -35, -39, -40, -42, -43, -44, -45, -51, -52, -53, -54, -56, -58, -59, -61, -62, -66, -68, -70, -71, -72, -73, -81, -82, -83, -84, -85 and -89). Semi-quantitative results can be obtained in an automatic reader with highly comparable outcomes, showing excellent sensitivity, specificity, and reproducibility [31].


This assay genotypes all 14 HPV that are covered by Real-Time [44]. INNO-LiPA (LiPA HBV GT; Innogenetics N.V., Ghent, Belgium) is based on the co-amplification of the 65 bp region of the HPV L1 gene and the 270 bp of the human HLA-DP1 gene using SPF10 biotinylated primers, followed by genotyping [53, 54]. Some carcinogenic genotypes such as HPV-35, -39, -52, -56 and -66 were not covered by this method, and it was found to be the least effective genotyping for HPV-42 and -59 [33].

Although the majority of nucleic-acid amplification methods can reliably detect HPV in cervical-swab specimens, only a few, including Real-Time PCR, are potentially suitable for archival clinical specimens, since they target a relatively small portion of the HPV genome (less than 160 bp). Therefore, the observed differences in internal control amplification efficacy between Real-Time and INNO-LiPA can be attributed most reasonably to the differences in target amplicon length: 136 bp vs. 270 bp, respectively [44]. This kit can be also used on samples taken with swabs, brushes, tampons, and lavage [55, 56].

The Linear array®

The Linear Array® HPV Genotyping (Roche Molecular Diagnostics, Pleasanton, CA, USA) is a PCR-based assay coupled with a reverse line blot hybridization. This assay allows the discrimination of 36 HPV, including 15 HR (-16, -18, -31, -33, -35, -39, -45, -51, -52, -56, -58, -59, -68, -73 and -82), 3 probable HR (-26, -53 and -66), 10 LR (-6, -11, -40, -42, -54, -61, -70,-72, -81 and -CP6108) and 9 genotypes for which the risk is still undetermined (-55, -62, -64, -67, -69, -71, -83, -84 and -IS39) [57].

The test uses biotinylated PGMY09/11 primers to amplify a 450 bp fragment within the polymorphic L1 region of the HPV genome. Co-amplification of the 268 bp region of the human β-globin gene provides a control to ensure DNA extraction adequacy and PCR efficiency. The hybridization and detection of the amplified product are performed with the Auto-LIPA™ instrument (Innogenetics, Ghent, Belgium), which can process up to 30 strips simultaneously in a perfectly standardized fashion. Colored signals on the strips are read by the naked eye and interpreted according to the Linear Array® reference guide. Equivocal results can be obtained for HPV-52 when -33, -35 or -58 are also present, because it is detected through a cross-hybridization probe for these 4 HPV types. An additional, specific probe is present on the strip to confirm the detection of HPV -33, -35 and -58, but not of HPV -52 [34, 58].

Clinical arrays® HPV

This kit (Genomica SAU, Madrid, Spain) allows the detection and genotyping of HPV. The DNA extraction method is a modified procedure using absorption columns. The kit employs biotinylated primers to define a sequence of 451 nucleotides within the polymorphic L1 region of the HPV genome. A human cystic-fibrosis transmembrane conductance regulator (CFTR) gene and control plasmids are used to order to check both the PCR procedure and the integrity of the DNA [23].

This also allows the detection of the 35 genotypes that are individually associated with HR- (-16, -18, -26,-31, -33, -35, -39, -45, -51, -52, -53, -56, -58, -59, -66, -68, -70, -73, -82 and -85) or LR-HPV (-6, -11, -40, -42, -43, -44, -54, -61, -62, -71, -72, -81, -83, -84 and -89). It is possible to identify simple infections or co-infections [23, 59].

Microplate colorimetric hybridization assay (MCHA)

The MCHA (Boehringer Mannheim, Germany) is a method for identifying six HR-HPV (-16, -18, -31, -33, -39 and -45) and is based on the amplification by PCR of the 150 bp fragment within the L1 region by consensus primers GP5+/6+, followed by colorimetric hybridization to six type-specific probes on microwell plates (Immobilizer™ Amino Surface, Nunc, Roskilde, Denmark) [35].

The MCHA showed very good agreement with PapilloCheck® for HPV-31, -33, -45 and higher sensitivity in identifying HPV -16/18, but poor agreement for -39. To improve MCHA for detection of other genotypes, probes for HPV-35, -52, -56 and -58 should be included [35].

HPV-mRNA detection

E6 and E7 are the main genes responsible for cell transformation mediated by HR-HPV, and they modulate the activities of cellular proteins that regulate the cell cycle [60]. Thus, the presence of E6/E7 can be a specific marker for diagnosing precancerous lesions by HPV [61]. For this reason, the search for transcripts of E6/E7 could increase the specificity and sensitivity of the tests in screening for cervical lesions that have a greater chance of progressing, compared with a simple detection of HPV-DNA [11, 19, 62].

The main techniques used to detect mRNA for E6/E7 oncogenes are two commercial assays: PreTect® Proofer and APTIMA® HPV Assay [63]. The chemistry is based on transcription-mediated amplification of full-length E6/E7 transcripts preempted by target capture.

The Pretect® HPV-Proofer assay (NorChip AS, Klokkarstua, Norway) detects E6/E7 mRNA from five HR-HPV (-16, -18, -31,-33, and -45). Clinical studies have shown high sensitivity. This assay is based on Real-Time multiplex PCR and is more specific than HPV-PCR for the detection of underlying HSIL (high-grade squamous intraepithelial lesions) [19].

The APTIMA® HPV assay (Gen-Probe, San Diego, CA, USA) detects HPV E6/E7 mRNA of the 14 HR (-16, -18, -31, -33, -35, -39, -45, -51, -52, -56, -58, -59, -66, and -68), which provides better sensitivity than the Proofer test, which detects only 5 HR-HPV [62]. This assay has several advantages over the other HPV tests, including: (i) detects HPV E6/E7 mRNA, which may be a better marker of advanced disease than hc2; (ii) the limit of detection is lower than the limits reported for other tests; (iii) it does not cross-react with LR-HPV types tested in the current study; and (iv) it is compatible with a fully automated processing system [19, 62].

In addition, the oncoprotein E6 activates telomerase reverse transcriptase (TERT) expression and causes cellular immortalization [64]. Telomerase consists of several subunits, including a structural RNA component (hTR) that serves as a model during telomere elongation, and a catalytic subunit (hTERT) that has reverse transcriptase activity [65]. High levels of telomerase in tumor cells invariably result from deregulated hTERT expression, and can be detected by quantitative Real-Time PCR [66]. Also, studies have indicated that elevated hTERT expression is a frequent event during cervical carcinogenesis, and may be a valuable marker for progressive cervical lesions [67, 68].

HPV viral load quantification and integration

HPV-DNA viral load

The association between the HPV viral load and cervical lesions with malignant potential remains unclear. Many studies of HPV load address the utility of predicting the progression or severity of disease [6972]. Lowe et al. demonstrated differences in load between CIN I and CIN II and between normal and all CIN, but not between CIN II and CIN III [72]. Thus, the results from load histology and cytology are in agreement. Lowe et al. also reported that the viral load declines in response to therapy, and provides an acceptable alternative for decisions to pursue further clinical trials [72]. However, other studies have shown that viral load assessment had no added value over cytology, and that testing for high load levels may not be clinically useful, except in the case of HPV -16 [70, 71, 73].

HPV viral load can be determined by Real-Time PCR techniques. These techniques have been used for semi-quantification in clinical samples, which can be also determined by hc2 [74].

HPV-DNA integration

HPV-DNA is usually present in extrachromosomal or episomal form in beginning cervical precursor lesions. Integration of viral DNA frequently occurs in HSIL and CC, and these lesions may often contain episomal and integrated HPV-DNA at the same time [75]. During HPV-DNA integration into the host cell, the viral genome usually breaks at E1 and/or E2 open reading frames (ORFs), whereas the E6/E7 ORFs and long control region remain intact [76, 77]. Loss of the E2 gene function results in uncontrolled and increased expression of the oncogenic proteins E6 and E7. A high copy number of HPV-DNA directly contributes to HPV-DNA integration and increased expression of E6 and E7 [75], and is related to persistent HPV infection [74].

The viral integration is a very early event, it occurs earlier than the onset of morphological changes. Molecular events precede morphological features leading to malignancy, and that integration does not always temporally coincide with a high grade lesion. It is also possible that viral integration is not necessarily always followed by immediate viral E1 and/or E2 expression [78, 79].

The main methods used for HPV integration detection are PCR, fluorescence in situ hybridization, and Real-Time PCR. The latter allows calculation of the ratio between the levels of E2 and E6/E7 HPV genes. When there is HPV integration, the viral genome shows a 1:1 ratio between the E2 and E6/E7 genes [74].

Frequently, HPV integration by PCR uses E2-type-specific primers in the HPV -16, -18 and/or E1-type-specific primers in the HPV -16 [77, 80]. The PCR method is simple and easy to use, but it cannot be used to determine the site of integration or to distinguish between extrachromosomal or episomal forms, only the pure integrated form [81]. Fluorescence in-situ hybridization uses the locus-specific fluorescence probes TERC (human telomerase gene-region 3q26) and MYC gene (region 8q24) in cervical cytology specimens, and can be used to supplement the evaluation of the integration of HPV by PCR [82].


CC develops over a long period, through precursor lesions that may regress spontaneously without treatment. The challenge of CC cytological screening is to detect the lesions that have a high risk of progression. Consequently, various biomarkers associated with the risk of progression of this cancer have been investigated, and most are associated with HR-HPV. Molecular techniques are most commonly used for HPV testing, and are the gold standard for diagnosing this viral infection. Some of these methods may also be used for investigations of regional and country-based type-specific HPV prevalence.

Cell infection by HPV is shown by changes in function or in host gene expression, and the detection of these changes may play a major role in the screening and follow-up of infected patients. HPV-DNA viral load quantification and integration, and E6/E7 expression are promising biomarkers that can predict the progression of lesions to CC, thus increasing the sensitivity of cytological screening. To date, there is no one ideal biomarker; however, overall, the combination of biomarkers can contribute to early determination of CC, which can be used to increase the positive predictive value of current screening methods. Therefore, this review summarizes current knowledge about detection methods for HPV and related biomarkers. In spite of their value, molecular techniques still must become more rapid, automated, and low-cost to be of practical use in low-income populations and countries.

Author’s contributions

ALPA and FG searched the literature, organized the data. MELC, ALPA and FG wrote the manuscript. RPS helped in literature review and participated in its design. ALPA has been involved in revising the manuscript critically for important intellectual content. MELC revised the manuscript, helped to provide information and suggestion. MELC is the corresponding author. All the authors read and approved the final of the manuscript.

Author’s information

André Luelsdorf Pimenta de Abreu graduated in Nurse at the Cesumar in 2009. He is currently doctoral student in Clinical Citology at the State University of Maringa. He has research interests in the HPV and biomarkers. Raquel Pantarotto Souza graduated in Pharmacy-Biochemistry at the State University of Maringa in 2010. She is currently master student the same university. Her scientific activity has been mainly intent in cervical cancer and HPV. Fabrícia Gimenes graduated in Biological Science at the State University of Maringá in 2004. In 2006 she became master in genetics and in 2010 she became doctor in Molecular and Biology Cell the same university. Since 2010 she has been post-doctoral student in Clinical Citology. She has research interests in the cervical cancer, HPV and biomarkers. Marcia Edilaine Lopes Consolaro Graduated in Pharmacy-Biochemistry at the State University of Maringá, Master and PhD degree in Biological Sciences (Cell Biology), since 1996 she is Assistant Professor of Clinical Cytology at the same university. Her teaching activity is currently held in the official courses of pharmacy and biomedicine, had experience in Pharmacy, enabling Clinical Analysis with Emphasis on Clinical Cytology. Her scientific activity has been mainly intent on issues related to HPV, cervical cancer, vaginal candidiasis, sexually transmitted diseases and herbal agents with properties against STDs. Coordinator of the Graduate Program in Biosciences Applied to Pharmacy.



Human Papillomavirus


Cervical cancer






Base pairs


Cervical intraepithelial neoplasia


Hybrid Capture 2


Polymerase chain reaction


Restriction fragment length polymorphisms


Atypical Squamous cells of undetermined significanceADAT1, Human Adenosine Deaminase tRNA-Specific 1


Microplate Colorimetric Hybridization Assay


High-grade squamous intraepithelial lesions


Telomerase reverse transcriptase


Formylmethanofuran: tetrahydromethanopterin formyltransferase


Open reading frames


Human telomerase gene.


  1. Stanley M: Pathology and epidemiology of HPV infection in females. Gynecol Oncol. 2010, 117 (Suppl 2): 5-10.

    Article  Google Scholar 

  2. Faridi R, Zahra A, Khan K, Idrees M: Oncogenic potential of Papillomavirus (HPV) and its relation with cervical cancer. Virol J. 2011, 8: 269-10.1186/1743-422X-8-269.

    Article  PubMed  PubMed Central  Google Scholar 

  3. de Villiers EM, Fauquet C, Broker TR, Bernard HU, Zur H: Classification of papillomaviruses. Virology. 2004, 324: 17-27. 10.1016/j.virol.2004.03.033.

    Article  PubMed  CAS  Google Scholar 

  4. IARC: Human papillomaviruses. IARC Monogr Eval Carcinog Risks Hum. 2007, 90: 1-636.

    Google Scholar 

  5. Bouvard V, Baan R, Straif K, Grosse Y, Secretan B, El Ghissassi F, et al: WHO International Agency for WHO International Agency for Research on Cancer Monograph Working Group: A review of human carcinogens- Part B: biological agents. Lancet Oncol. 2009, 10: 321-322. 10.1016/S1470-2045(09)70096-8.

    Article  PubMed  Google Scholar 

  6. Khan S, Jaffer NN, Khan MN, Rai MA, Shafiq M, Ali A, et al: Human papillomavirus subtype 16 is common in Pakistaniwomen with cervical carcinoma. Int J Infect Dis. 2007, 11: 313-317. 10.1016/j.ijid.2006.06.007.

    Article  PubMed  CAS  Google Scholar 

  7. Sheng J, Zhang WY: Identification of biomarkers for cervical cancer in peripheral blood lymphocytes using oligonucleotide microarrays. Chin Med J. 2010, 123: 1000-1005.

    PubMed  CAS  Google Scholar 

  8. Termini L, Villa LL: Biomarkers in screening of Cervical Cancer. J Bras Doenças Sex Trasm. 2008, 20: 125-131.

    Google Scholar 

  9. Wentzensen N, Klug SJ: Cervical cancer control in the era of HPV vaccination and novel biomarkers. Pathobiology. 2009, 76: 82-89. 10.1159/000201676.

    Article  PubMed  Google Scholar 

  10. Chow LT, Broker TR, Steinberg BM: The natural history of human papillomavirus infections of the mucosal epithelia. APMIS. 2010, 118: 422-449. 10.1111/j.1600-0463.2010.02625.x.

    Article  PubMed  CAS  Google Scholar 

  11. Villa LL, Denny L: Methods for detection of HPV infection and its clinical utility. Int J Gyn Obst. 2006, 94: 71-80.

    Article  Google Scholar 

  12. Cuzick J, Arbyn M, Sankaranarayanan R, Tsu V, Ronco G, Mayrand MH, et al: Overview of human papillomavirus-based and other novel options for cervical cancer screening in developed and developing countries. Vaccine. 2008, 26: 29-41.

    Article  Google Scholar 

  13. Pannier-Stockman C, Segard C, Bennamar S, Gondry J, Boulanger JC, Sevestre H, et al: Prevalence of HPV genotypes determined by PCR and DNA sequencing in cervical specimens from French women with or without abnormalities. J Clin Virol. 2008, 42: 353-360. 10.1016/j.jcv.2008.03.022.

    Article  PubMed  CAS  Google Scholar 

  14. Bruni L, Diaz M, Castellsagué X, Ferrer E, Bosch FX, de Sanjosé S: Cervical human Papillomavirus prevalence in 5 continents: meta-analysis of 1 million women with normal cytological findings. J Infect Dis. 2010, 202: 1789-1799. 10.1086/657321.

    Article  PubMed  Google Scholar 

  15. Forinash AB, Yancey AM, Pitlick JM, Myles TD: Safety of the HPV bivalent and quadrivalent vaccines during pregnancy (february). Ann Pharmacother. 2011, 45: 258-262.

    PubMed  CAS  Google Scholar 

  16. Merck : Broad spectrum HPV (Human Papillomavirus) vaccine study in 16-to 26-Year-Old Women (V503-001). Acessed in March 20, 2011

  17. Porras C, Bennett C, Safaeian M, Coseo S, Rodríguez AC, González P, et al: Costa Rica HPV vaccine trial (CVT) group: determinants of seropositivity among HPV-16/18 DNA positive young women. BMC Infect Dis. 2010, 10: 238-

    PubMed  PubMed Central  Google Scholar 

  18. Shen-Gunther J, Yu X: HPV molecular assays: defining analytical and clinical performance characteristics for cervical cytology specimens. Gynecol Oncol. 2011, 123: 263-271. 10.1016/j.ygyno.2011.07.017.

    Article  PubMed  CAS  Google Scholar 

  19. Hwang SJ, Shroyer KR: Biomarkers of cervical dysplasia and carcinoma. J Oncol. 2012, 507286: Epub 2011 Oct 29

    Google Scholar 

  20. Bozzetti M, Nonnenmacher B, Mielzinska II, Villa L, Lorincz A, Breitenbach VV, et al: Comparison between hybrid capture II and polymerase chain reaction results among women at low risk for cervical cancer. Ann Epidemiol. 2000, 10: 466-

    Article  PubMed  Google Scholar 

  21. Wright TC, Schiffman M: Adding a test for human papillomavirus DNA to cervical-cancer screening. N Engl J Med. 2003, 348: 489-490. 10.1056/NEJMp020178.

    Article  PubMed  Google Scholar 

  22. Frazer IH, Leggatt GR, Mattarollo SR: Prevention and treatment of papillomavirus-related cancers through immunization. Annu Rev Immunol. 2011, 29: 111-138. 10.1146/annurev-immunol-031210-101308.

    Article  PubMed  CAS  Google Scholar 

  23. Otero-Motta AP, Ordóñez JL, González-Celador R, Rivas B, Macías M, Macías MC, et al: Prevalence of human papillomavirus genotypes in cytologic abnormalities from unvaccinated women living in north-western Spain. APMIS. 2011, 119: 204-215. 10.1111/j.1600-0463.2010.02711.x.

    Article  PubMed  Google Scholar 

  24. Johnson LR, Starkey CR, Palmer J, Taylor J, Stout S, Holt S, et al: A comparasion of two methods to determine the presence of high-risk HPV cervical infections. Am J Clin Pathol. 2008, 130: 401-408. 10.1309/4DXEAFG2JXYF34N3.

    Article  PubMed  Google Scholar 

  25. Einstein MH, Martens MG, Garcia FA, Ferris DG, Mitchell AL, Day SP, et al: Clinical validation of the Cervista HPV HR and 16/18 genotyping tests for use in women with ASC-US cytology. Gynecol Oncol. 2010, 118: 116-122. 10.1016/j.ygyno.2010.04.013.

    Article  PubMed  Google Scholar 

  26. Bartholomew DA, Luff RD, Quigley NB, Curtis M, Olson MC: Analytical performance of Cervista HPV 16/18 genotyping test for cervical cytology samples. J Clin Virol. 2011, 51: 38-43. 10.1016/j.jcv.2011.01.016.

    Article  PubMed  CAS  Google Scholar 

  27. Rahman M, Sasagawa T, Yamada R, Kingoro A, Ichimura H, Makinoda S: High prevalence of intermediate-risk human papillomavirus infection in uterine cervices of kenyan women infected with human immunodeficiency virus. J Med Virol. 2011, 83: 1988-1996. 10.1002/jmv.22203.

    Article  PubMed  Google Scholar 

  28. Hoheisel JD: Microarray technology: beyond transcript profiling and genotype analysis. Nat Rev Genet. 2006, 7: 200-210. 10.1038/nrg1809.

    Article  PubMed  CAS  Google Scholar 

  29. Brandstetter T, Böhmer S, Prucker O, Bissé E, zur Hausen A, Alt-Mörbe J, et al: A polymerase based DNA biochip platform for human papillomavirus genotyping. J Virol Methods. 2010, 163: 40-48. 10.1016/j.jviromet.2009.07.027.

    Article  PubMed  CAS  Google Scholar 

  30. Didelot MN, Boulle N, Damay A, Costes V, Segondy M: Comparison of the PapilloCheck® assay with the digene HC2 HPV DNA assay for the detection of 13 high-risk human papillomaviruses in cervical and anal scrapes. J Med Virol. 2011, 83: 1377-1382. 10.1002/jmv.22148.

    Article  PubMed  CAS  Google Scholar 

  31. Pista A, Verdasca N, Oliveira A: Clinical performance of the CLART human papillomavirus 2 assay compared with the hybrid capture 2 test. J Med Virol. 2011, 83: 272-276. 10.1002/jmv.21952.

    Article  PubMed  Google Scholar 

  32. Bryant D, Rai N, Rowlands G, Hibbitts S, Jones J, Tristram A, et al: Human papillomavirus type distribution in vulval intraepithelial neoplasia determined using PapilloCheck DNA microarray. J Med Virol. 2011, 83: 1358-1361. 10.1002/jmv.22107.

    Article  PubMed  CAS  Google Scholar 

  33. Schopp B, Holz B, Zago M, Stubenrauch F, Petry KU, Kjaer SK, et al: Evaluation of the performance of the novel PapilloCheck HPV genotyping test by comparison with two other genotyping systems and the HC2 test. J Med Virol. 2010, 82: 605-615. 10.1002/jmv.21719.

    Article  PubMed  Google Scholar 

  34. Dalstein V, Merlin S, Bali C, Saunier M, Dachez R, Ronsin C: Analytical evaluation of the PapilloCheck test, a new commercial DNA chip for detection and genotyping of papillomavirus in cervical and anal scraps. J Med Virol. 2011, 83: 1377-1382. 10.1002/jmv.22148.

    Article  Google Scholar 

  35. Barcellos RB, Almeida SE, Sperhacke RD, Verza M, Rosso F, Medeiros RM, et al: Evaluation of a novel microplate colorimetric hybridization genotyping assay for human papillomavirus. J Virol Methods. 2011, 77: 38-43.

    Article  Google Scholar 

  36. Zaravinos A, Mammas IN, Sourvinos G, Spandidos DA: Molecular detection methods of human papillomavirus (HPV). Int J Biol Markers. 2009, 24: 215-222.

    PubMed  CAS  Google Scholar 

  37. Camargo M, Soto-De Leon S, Sanchez R, Munoz M, Vega E, Beltran M, et al: Detection by HPV of human papillomavirus in Colombia: comparison of GP5+/6+ and MY09/11 primer sets. J Virol Methods. 2011, 178: 68-74. 10.1016/j.jviromet.2011.08.014.

    Article  PubMed  CAS  Google Scholar 

  38. Coser J, Boeira TR, Fonseca AS, Ikuta N, Lunge VR: Human papillomavirus detection and typing using a nested-PCR-RFLP assay. Braz J Infect Dis. 2011, 15: 467-472. 10.1016/S1413-8670(11)70229-X.

    Article  PubMed  CAS  Google Scholar 

  39. Carvalho NO, del Castillo DM, Perone C, Januário JN, Melo VH, Brasileiro Filho G: Comparison of HPV genotyping by type-specific PCR and sequencing. Mem Inst Oswaldo Cruz. 2010, 105: 73-78. 10.1590/S0074-02762010000100011.

    Article  CAS  Google Scholar 

  40. Nogara PR, Gimenes F, Consolaro ME: Distribution of HPV genotypes and HPV-16 and HPV-18 E2 gene disruption in South Brazilian women with cervical abnormalities. Int J Gynaecol Obstet. 2012, 10.1016/j.ijgo.2012.01.003.

    Google Scholar 

  41. Maver PJ, Poljak M, Seme K, Kocjan BJ: Detection and typing of low-risk human papillomavirus genotypes HPV 6, HPV 11, HPV 42, HPV 43 and HPV 44 by polymerase chain reaction and restriction fragment length polymorphism. J Virol Methods. 2010, 169: 215-218. 10.1016/j.jviromet.2010.07.007.

    Article  PubMed  CAS  Google Scholar 

  42. Naqvi SH, Wajid S, Mitra AB: Restriction fragment length polymorphism of L1 amplificon using RSA 1 detects five different human papillomavirus types and their co-infections among women attending a gynaecological outpatient department. J Virol Methods. 2004, 117: 91-95. 10.1016/j.jviromet.2003.12.002.

    Article  PubMed  CAS  Google Scholar 

  43. Santiago E, Camacho L, Junquera ML, Vázquez F: Full HPV typing by a single restriction enzyme. J Clin Virol. 2006, 37: 38-46. 10.1016/j.jcv.2006.06.001.

    Article  PubMed  CAS  Google Scholar 

  44. Kocjan BJ, Seme K, Poljak M: Comparison of the Abbott Real Time High Risk HPV test and INNO-LiPA HPV Genotyping Extra test for the detection of human papillomaviruses in formalin-fixed, paraffin-embedded cervical cancer specimens. J Virol Methods. 2011, 175: 117-119. 10.1016/j.jviromet.2011.04.006.

    Article  PubMed  CAS  Google Scholar 

  45. Roberts I, Ng G, Foster N, Stanley M, Herdman MT, Pett MR, et al: Critical evaluation of HPV16 gene copy number quantification by SYBR green PCR. BMC Biotechnol. 2008, 8: 57-10.1186/1472-6750-8-57.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Heideman DA, Hesselink AT, Berkhof J, van Kemenade F, Melchers WJ, Daalmeijer NF, et al: Clinical validation of the Cobas 488 HPV test for cervical screening purposes. J Clin Microbiol. 2011, 49: 3983-3985. 10.1128/JCM.05552-11.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  47. Mateos ML, Rodríguez-Domínguez M, Sanz I, Rubio MD, Antonio J, Chacón D: Evaluation of a prototype real-time PCR assay for the separate detection of human papillomavirus genotypes 16 and 18 and other high risk human papillomavirus in cervical cancer screening. Enferm Infecc Microbiol Clin. 2011, 29: 411-414. 10.1016/j.eimc.2011.01.007.

    Article  PubMed  Google Scholar 

  48. Martínez SB, Palomares JC, Artura A, Parra M, Cabezas JL, Romo JM, et al: Comparison of the Cobas 4800 Human Papillomavirus test against a combination of the Amplicor Human Papillomavirus and the Linear Array tests for detection of HPV types 16 and 18 in cervical samples. J Virol Methods. 2012, 180: 7-10. 10.1016/j.jviromet.2011.12.002.

    Article  PubMed  Google Scholar 

  49. Sanger F, Nicklen S, Coulson AR: DNA sequencing with chain-terminating inhibitors. Biotechnology. 1992, 24: 104-108.

    PubMed  CAS  Google Scholar 

  50. Smith LM, Sanders JZ, Kaiser RJ, Hughes P, Dodd C, Connell CR, et al: Fluorescence detection in automated DNA sequence analysis. Nature. 1986, 321: 674-679. 10.1038/321674a0.

    Article  PubMed  CAS  Google Scholar 

  51. Lee LG, Connell CR, Woo SL, Cheng RD, McArdle BF, Fuller CW, et al: DNA sequencing with dye-labeled terminators and T7 DNA polymerase: effect of dyes and dNTPs on incorporation of dye-terminators and probability analysis of termination fragments. Nucleic Acids Res. 1992, 20: 2471-2483. 10.1093/nar/20.10.2471.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  52. Novais RC, Thorstenson YR: The evolution of Pyrosequencing® for microbiology: from genes to genomes. J Microbiol Methods. 2011, 86: 1-7. 10.1016/j.mimet.2011.04.006.

    Article  PubMed  CAS  Google Scholar 

  53. van Hamont D, van Ham MA, Bakkers JM, Massuger LF, Melchers WJ: Evaluation of the SPF10-Inno LiPA human papillomavirus (HPV) genotyping test and the roche linear array HPV genotyping test. J Clin Microbiol. 2006, 44: 3122-3129. 10.1128/JCM.00517-06.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  54. Sukasem C, Pairoj W, Saekang N, Pombubpha H, Srichunrasami C, Pongtippan A, Junyangdikul P, Chantratita W: Molecular epidemiology of human papillomavirus genotype in women with high-grade squamous intraepithelial lesion and cervical cancer: will a quadrivalent vaccine be necessary in Thailand?. J Med Virol. 2011, 83: 119-126. 10.1002/jmv.21948.

    Article  PubMed  Google Scholar 

  55. Lenselink CH, de Bie RP, van Hamont D, Bakkers JM, Quint WG, Massuger LF, et al: Detection and genotyping of human papillomavirus in self-obtained cervicovaginal samples by the FTA cartridge: new possibilities for cervical screening. J Clin Microbiol. 2009, 47: 2564-2570. 10.1128/JCM.00285-09.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Schmeink CE, Bekkers RL, Massuger LF, Melchers WJ: The potential role of self-sampling for high-risk human papillomavirus detection in cervical cancer screening. Rev Med Virol. 2011, 21: 139-153. 10.1002/rmv.686.

    Article  PubMed  Google Scholar 

  57. Dobec M, Bannwart F, Kilgus S, Kaeppeli F, Cassinotti P: Human papillomavirus infection among women with cytological abnormalities in Switzerland investigated by an automated linear array genotyping test. J Med Virol. 2011, 83: 1370-1376. 10.1002/jmv.22126.

    Article  PubMed  Google Scholar 

  58. Weaver B, Shew M, Qadadri B, Tu W, Tong Y, Denski C, et al: Low- level persistence of human papillomavirus 16 DNA in a cohort of closely followed adolescent women. J Med Virol. 2011, 83: 1362-1369. 10.1002/jmv.22116.

    Article  PubMed  CAS  Google Scholar 

  59. Muñoz N, Manalastas R, Pitisuttithum P, Tresukosol D, Monsonego J, Ault K, et al: Safety, immunogenicity, and efficacy of quadrivalent human papillomavirus (types 6, 11, 16, 18) recombinant vaccine in women aged 24–45 years: a randomised, double-blind trial. Lancet. 2009, 373: 1949-1957. 10.1016/S0140-6736(09)60691-7.

    Article  PubMed  Google Scholar 

  60. Rosenblatt C, Wroclawski ER, Lucon AM, Pereyra EAG: HPV in Clinical Practice. 2005, Atheneu, São Paulo, 25-37.

    Google Scholar 

  61. Wentzensen N, von Knebel DM: Biomarkers in cervical cancer screening. Dis Markers. 2007, 23: 315-330.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  62. Dockter J, Schroder A, Eaton B, Wang A, Sikhamsay N, Morales L, et al: Analytical characterization of the APTIMA HPV Assay. J Clin Virol. 2009, 45 (Suppl 1): 39-47.

    Article  Google Scholar 

  63. Cuschieri K, Wentzensen N: Human papillomavirus mRNA and p16 detection as biomarkers for the improved diagnosis of cervical neoplasia. Cancer Epidemiol Biomarkers Prev. 2008, 17: 2536-2545. 10.1158/1055-9965.EPI-08-0306.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  64. Katzenellenbogen RA, Egelkrout EM, Vliet-Gregg P, Gewin LC, Gafken PR, Galloway DA: NFX1-123 and poly (A) binding proteins synergistically augment activation of telomerase in human papillomavirus type 16 E6-expressing Cells. J Virol. 2007, 81: 3786-3796. 10.1128/JVI.02007-06.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  65. Meyerson M, Counter CM, Eaton EN, Ellisen LW, Steiner P, Caddle SD, et al: hEST2, the putative human telomerase catalytic subunit gene, is up-regulated in tumor cells and during immortalization. Cell. 1997, 90: 785-795. 10.1016/S0092-8674(00)80538-3.

    Article  PubMed  CAS  Google Scholar 

  66. Liu X, Yuan H, Fu B, Disbrow GL, Apolinario T, Tomaic V, et al: The E6AP ubiquitin ligase is required for transactivation of the hTERT promoter by the human papillomavirus E6 oncoprotein. J Biol Chem. 2005, 280: 10807-10816. 10.1074/jbc.M410343200.

    Article  PubMed  CAS  Google Scholar 

  67. Walboomers JM, Jacobs MV, Manos MM, Bosch FX, Kummer JA, Shah KV, et al: Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol. 1999, 189: 12-19. 10.1002/(SICI)1096-9896(199909)189:1<12::AID-PATH431>3.0.CO;2-F.

    Article  PubMed  CAS  Google Scholar 

  68. de Wilde J, Wilting SM, Meijer CJ, van de Wiel MA, Ylstra B, Snijders PJ, et al: Gene expression profiling to identify markers associated with deregulated hTERT in HPV-transformed keratinocytes and cervical cancer. Int J Cancer. 2008, 122: 877-888. 10.1002/ijc.23210.

    Article  PubMed  CAS  Google Scholar 

  69. Monnier-Benoit S, Dalstein V, Riethmuller D, Lalaoui N, Mougin C, Prétet JL: Dynamics of HPV16 DNA load reflect the natural history of cervical HPV-associated lesions. J Clin Virol. 2006, 35: 270-277. 10.1016/j.jcv.2005.09.001.

    Article  PubMed  CAS  Google Scholar 

  70. Hesselink AT, van Ham MA, Heideman DA, Groothuismink ZM, Rozendaal L, Berkhof J, et al: Comparison of GP5+/6+−PCR and SPF10-line blot assays for detection of high-risk human papillomavirus in samples from women with normal cytology results who develop grade 3 cervical intraepithelial neoplasia. J Clin Microbiol. 2008, 46: 3215-3221. 10.1128/JCM.00476-08.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  71. Xi LF, Koutsky LA, Castle PE, Wheeler CM, Galloway DA, Mao C, et al: Human papillomavirus type 18 DNA load and 2-year cumulative diagnoses of cervical intraepithelial neoplasia grades 2–3. J Natl Cancer Inst. 2009, 101: 153-161. 10.1093/jnci/djn461.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  72. Lowe B, O'Neil D, Loeffert D, Nazarenko I: Distribution of Human papillomavirus load in clinical specimens. J Virol Methods. 2011, 173: 150-152. 10.1016/j.jviromet.2011.01.018.

    Article  PubMed  CAS  Google Scholar 

  73. Gravitt PE, Kovacic MB, Herrero R, Schiffman M, Bratti C, Hildesheim A, et al: High load for most high risk human papillomavirus genotypes is associated with prevalent cervical cancer precursors but only HPV16 load predicts development incident disease. Int J Cancer. 2007, 21: 2787-2793.

    Article  Google Scholar 

  74. Yoshida T, Sano T, Kanuma T, Owada N, Sakurai S, Fukuda T, et al: Quantitative real-time polymerase chain reaction analysis of the type distribution, viral load, and physical status of human papillomavirus in liquid-based cytology samples from cervical lesions. Int J Gynecol Cancer. 2008, 18: 121-127. 10.1111/j.1525-1438.2007.00979.x.

    Article  PubMed  CAS  Google Scholar 

  75. Kulmala SM, Syrjänen SM, Gyllensten UB, Shabalova IP, Petrovichev N, Tosi P, et al: Early integration of high copy HPV16 detectable in women with normal and low grade cervical cytology and histology. J Clin Pathol. 2006, 59: 513-517. 10.1136/jcp.2004.024570.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  76. Dos Santos Oliveira LH, Rodrigues EV, de Salles Lopes AP, Fernandez AP, Cavalcanti SM: HPV 16 detection in cervical lesions, physical state of viral DNA and changes in p53 gene. Sao Paulo Med J. 2003, 121: 67-71. 10.1590/S1516-31802003000200007.

    Article  Google Scholar 

  77. Cricca M, Venturoli S, Leo E, Costa S, Musiani M, Zerbini M: Disruption of HPV 16 and E2 genes in precancerous cervical lesions. J Virol Methods. 2009, 158: 180-183. 10.1016/j.jviromet.2009.01.005.

    Article  PubMed  CAS  Google Scholar 

  78. Gallo G, Bibbo M, Bagella L, Zamparelli A, Sanseverino F, Giovagnoli MR, Vecchione A, Giordano A: Study of viral integration of HPV-16 in young patients with LSIL. J Clin Pathol. 2003, 56: 532-632. 10.1136/jcp.56.7.532.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  79. Ho CM, Lee BH, Chang SF, Chien TY, Huang SH, Yan CC, Cheng WF: Integration of human papillomavirus correlates with levels of viral oncogene transcripts in cervical carcinogenesis. Virus Res. 2011, 161: 124-130. 10.1016/j.virusres.2011.06.012.

    Article  PubMed  CAS  Google Scholar 

  80. Ho CM, Chien TY, Huang SH, Lee BH, Chang SF: Integrated human papillomavirus types 52 and 58 are infrequently found in cervical cancer, and high viral loads predict risk of cervical cancer. Gynecol Oncol. 2006, 102: 54-60. 10.1016/j.ygyno.2005.11.035.

    Article  PubMed  Google Scholar 

  81. Matovina M, Sabol I, Grubisić G, Gasperov NM, Grce M: Identification of human papillomavirus type 16 integration sites in high-grade precancerous cervical lesions. Gynecol Oncol. 2009, 113: 120-127. 10.1016/j.ygyno.2008.12.004.

    Article  PubMed  CAS  Google Scholar 

  82. Jin Y, Li JP, He D, Tang LY, Zee CS, Guo SZ, et al: Clinical significance of human telomerase RNA gene (hTERC) amplification in cervical squamous cell lesions detected by fluorescence in situ hybridization. Asian Pac J Cancer Prev. 2011, 12: 1167-1171.

    PubMed  Google Scholar 

Download references


This work was supported by grants from Coordenação de Aperfeiçoamento de Pessoal de Nível superior (CAPES), AUX-PE-PRODOC 2571/2010, Brazilian Government.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Marcia E L Consolaro.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Abreu, A.L.P., Souza, R.P., Gimenes, F. et al. A review of methods for detect human Papillomavirusinfection. Virol J 9, 262 (2012).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: