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The DNA load of six high-risk human papillomavirus types and its association with cervical lesions



Analysing human papillomavirus (HPV) viral load is important in determining the risk of developing cervical cancer (CC); most knowledge to date regarding HPV viral load and cervical lesions has been related to HPV-16. This study evaluated the association between the viral load of the six most prevalent high-risk viral types in Colombia and cervical intraepithelial neoplasia (CIN) frequency.


114 women without CIN and 59 women having CIN confirmed by colposcopy, all of them positive by conventional PCR for HPV infection in the initial screening, were included in the study. Samples were tested for six high-risk HPV types to determine viral copy number by real-time PCR. Crude and adjusted odds ratios (ORa) were estimated for evaluating the association between each viral type’s DNA load and the risk of cervical lesions occurring.


The highest viral loads were identified for HPV-33 in CIN patients and for HPV-31 in patients without lesions (9.33 HPV copies, 2.95 interquartile range (IQR); 9.41 HPV copies, 2.58 IQR). Lesions were more frequent in HPV-16 patients having a low viral load (3.53 ORa, 1.16–10.74 95%CI) compared to those having high HPV-16 load (2.62 ORa, 1.08–6.35 95%CI). High viral load in HPV-31 patients was associated with lower CIN frequency (0.34 ORa, 0.15–0.78 95%CI).


An association between HPV DNA load and CIN frequency was seen to be type-specific and may have depended on the duration of infection. This analysis has provided information for understanding the effect of HPV DNA load on cervical lesion development.

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The main factor for developing cervical cancer (CC) lies in persistent infection by at least one viral type of high-risk human papillomavirus (HR-HPV). Fifteen types of HR-HPV have been described, 99.7% being associated with cases of CC and/or cervical intraepithelial neoplasia (CIN) [1-3]. However, some host and virus related factors modulate such association, i.e. HPV viral load [4,5].

Researchers have thus become interested in HPV viral load. Its association with infection duration has already been described [6,7]. Prior studies have determined the association between viral load and CC severity, progression and development, whilst others have found that the amount of HPV DNA increases proportionally with lesion severity and can even be detected before cervical lesions develop [8-11]. However, other studies have found no such association [12-14].

As HPV-16 is the viral type most associated with cases of CC (50%–70%) [3,5], most knowledge concerning HPV viral load and CC has been based on HPV-16. Studies, which have included other HR-HPV types, have not led to comparable results regarding those obtained for HPV-16 [15,16].

The real-time polymerase chain reaction (RT-PCR) has been widely used and described in detecting and typing HPV, as well as quantifying a broad range of viral copies and normalising viral load according to the amount of human DNA, having high reproducibility, sensitivity, specificity and yield [13,17]. It was thus considered that it would provide a suitable approach for measuring HPV viral load, thereby facilitating investigating the role of HR-HPV viral load in developing CC [10,12,18].

The present study was thus aimed at using RT-PCR for determining the association between HPV viral load and the presence of CIN for six HR-HPV types, which have been previously reported as having the greatest prevalence in Colombia [19]. It was thus expected to contribute towards knowledge regarding the parameters leading to identifying HPV positive women having a higher risk of developing cervical lesions.


Study population and ethical considerations

Women eligible for the present study were voluntarily attending their cervical screening consultations between April 2007 and March 2010 in three Colombian regions (Girardot, Chaparral and Bogotá). Bogotá (the capital of Colombia) has the highest percentage of inhabitants, being mainly an urban population. Girardot is a city located in the Cundinamarca department which has focused its economy on the tourist sector due to its climate and infrastructure. The city of Chaparral (Tolima department) was included in the study as it is located in Colombia’s coffee-growing region and is also known for ecotourism. Girardot and Chaparral were grouped together in the “other city” category to improve the quality of the present study’s statistical analysis.

All the women signed a written informed consent form and completed a questionnaire regarding their sociodemographic characteristics, sexual behaviour and risk factor data before undergoing a gynaecological examination and providing a cervical smear. Samples were analysed using the Papanicolaou test and HPV DNA detection. Colposcopy and biopsy were performed in accordance with current Colombian screening programme guidelines, thereby establishing that women having normal, satisfactory cytology would continue following the 1-1-3 scheme, meaning that they should have a new control in a year’s time and, if this continued being normal, in three year’s time. However, colposcopy would be required when cytology was abnormal and, in case colposcopy was abnormal, samples would then be taken for pathology study, as in this study, for diagnosing CIN 1 and CIN 2+ [20]. Colposcopy and biopsy were also carried out for women having normal cytology but who were positive for HPV by conventional PCR, as previous studies have reported an increased risk of CIN 2+ development in women having normal cytology when they are HPV positive [21]. Due to biopsy not being taken from women having negative colposcopy, complete or satisfactory colposcopy (squamocolumnar junction completely visible), evaluation of the transformation area, having normal vascularisation and squamous, cylindrical epithelia without alterations were taken as criteria for guaranteeing the absence of lesions [22]. Colposcopy was chosen as the best method for defining the presence or absence of cervical lesions, as previous studies have found that colposcopy has a good correlation with histological results [23] and it remains the standard for detecting cervical lesions until new methods can be applied; in addition, cervical cytology has been reported worldwide as having variable sensitivity for detecting pre-neoplastic lesions and is considered a screening method which identifies women at risk of developing CC who must then be submitted to definitive diagnostic methods (colposcopy and biopsy) [20,24-26]. Women who had both a colposcopy result and HPV DNA detected by conventional PCR were thus included. Women were excluded in whom there was no amplification of the Homo sapiens hydroxymethylbilane synthase (HMBS) gene (Gene ID: 3145) by RT-PCR and those having an insufficient sample for analysis (Figure 1).

Figure 1

Flowchart of the studied population.*Inclusion criteria: women who had both a colposcopy result and HPV DNA detected by conventional PCR. RT-PCR: real-time polymerase chain reaction; HMBS: hydroxymethylbilane synthase gene; HR-HPV: high-risk human papillomavirus; CIN: cervical intraepithelial neoplasia; CIN 1: cervical intraepithelial neoplasia 1; CIN 2+: cervical intraepithelial neoplasia 2 or 3.

This study was supervised and approved by each institution’s Ethics Committee as follows: Fundación Instituto de Inmunología de Colombia’s Ethics Committee and the Ethics Committee of the Nuevo Hospital San Rafael E.S.E, Girardot, the Hospital San Juan Bautista de Chaparral E.S.E. Bioethics Committee and Hospital de Engativá (level II) Ethics Committee.

HPV DNA collection, processing and detection by conventional PCR

Genomic DNA from cervical samples (stored at 4°C, in 95% ethanol) taken from HR-HPV 16, 18, 31, 33, 45 and 58 patients, which had been previously confirmed by conventional PCR (proving positive for at least one of the following previously described primers: GP5+/6+, MY09/11 or pU1M/2R) [27], was extracted using a Quick Extract DNA Extraction Solution kit (Epicentre, Madison, WI), according to the manufacturer’s recommendations. The samples were homogenised in 200 μL lysis buffer and incubated at 65°C for 6 minutes and then at 92°C for 2 minutes. The samples were then spun at 13,000 rpm for 10 minutes and the supernatant was stored at −20°C until use.

Viral load quantification by RT-PCR

The methodology used in this study has already been described in detail in a previous article by our group [28]. Briefly, specific primers for each viral type and for HMBS were synthesised according to a study published by Moberg et al. [13]. The probes for each viral type and HMBS were designed, taking into account the types included in each reaction. Four parallel duplex real-time PCRs per patient were carried out (Table 1).

Table 1 The probes and quenchers used for real-time polymerase chain reaction

The cervical samples processed and identified as being HPV-positive by conventional PCR were used as template in PCR reactions for each fragment. The amplicons so obtained were purified with a Wizard PCR preps kit (Promega), once their quality has been evaluated on 3.25% agarose gel. A TOPO TA cloning kit was used for ligation, followed by transformation in TOP10 E. coli cells (Invitrogen). Several clones were incubated in LB broth and kept overnight (250 rpm at 37°C). Recombinant plasmids were purified using an UltraClean mini plasmid prep kit (MO BIO laboratories, California, USA) and sequenced using an automatic ABI PRISM 310 Genetic Analyser (PE Applied Biosystems, California, USA). Each insert’s integrity was checked by aligning the products with the respective theoretical sequenced fragments from each gene using Clustal W software [29].

Real-time PCR

Standardised RT-PCR assays with 10-fold serial plasmid dilutions (1011-106copies) (using known DNA concentration and copy number) gave a standard curve for each viral type and the HMBS gene. CFX96 Touch RT-PCR detection system was used for analysis. Samples were tested for HPV-16, HPV-18, HPV-31, HPV-33, HPV-45 and HPV-58. The human HMBS gene was amplified in all samples to verify DNA integrity and determine viral copy number per cell. Four RT-PCR reactions were carried out per sample: HPV-16, HPV-18 and -31, HPV-33 and -45 and HPV-58 and HMBS. RT-PCR reaction conditions and protocols have been described previously [28].

Each run was performed in 96-well plates, including 6 standards for each viral type and HMBS, involving 10-fold plasmid dilutions (1011–106 copy dynamic detection range) and a no template control to rule out DNA contamination.

The viral load was normalised to cellular DNA input using a previously described formula (Equation 1) [15]. Absolute and normalised viral loads were both log10 transformed.

Normalised viral load formula

$$ \mathrm{H}\mathrm{P}\mathrm{V}\kern0.5em \mathrm{D}\mathrm{N}\mathrm{A}\kern0.5em \mathrm{load}\left(\mathrm{H}\mathrm{P}\mathrm{V}\kern0.5em \mathrm{copies}/\mathrm{cell}\right)=\frac{\mathrm{Number}\kern0.5em \mathrm{of}\kern0.5em \mathrm{H}\mathrm{P}\mathrm{V}\kern0.5em \mathrm{copies}}{\left(\mathrm{Number}\kern0.5em \mathrm{of}\kern0.5em \mathrm{H}\mathrm{MBS}\kern0.5em \mathrm{copies}/2\right)} $$

Statistical analysis

Sample size was calculated using the difference of proportions test for high viral load between women having and without cervical lesions (0.42 and 0.052 respectively) [8,30]; 0.05 significance, 90% statistical power and a 1:2 ratio between both groups were established. This meant that at least 23 women with lesions and 46 women without them were required for the study. Based on the availability of women without CIN, two women without cervical lesions reported by colposcopy were matched to each woman with CIN by age (within 5 years) and date of enrolment. As only a limited amount of women had CIN 2+ or high-grade squamous intraepithelial lesions (CIN 2+, according to The Bethesda System (TBS)), CIN category was established which included women having CIN 2+ and women with CIN 1 or low-grade squamous intraepithelial lesions (CIN 1, according to TBS) [31,32] to improve the quality of the present study’s statistical analysis.

Analysis was based on type-specific HPV infection rather than on individual women, taking into account that multiple infection is common in the Colombian population [19].

Categorical variable differences between groups were assessed by Chi-squared test or Fisher’s test, as appropriate, using a 0.05 significance level. Median and interquartile ranges (IQR) were used for quantitative variables, according to the data distribution.

HPV DNA load distribution between women according to colposcopy and biopsy results was analysed by the Mann–Whitney U test or Kruskal Wallis test, depending on the number of groups to be compared. Both absolute HPV DNA load and normalised HPV DNA load were analysed. Absolute viral load was categorised according to percentile distribution in both groups of patients as follows: negative ≤ 0, low 0 < VL ≤105 HPV copies and high >105 HPV copies (to ensure better quality analysis).

Considering that women with CIN were paired with women without CIN by age and date of entering the study, conditional logistic regression was used for assessing the association between the HPV DNA load for each viral type and cervical lesion frequency according to colposcopy results. This analysis was not done taking the presence of biopsy-defined cervical lesions as outcome, as histology results were not available for all patients included in the study. Crude odds ratio (OR) and adjusted OR with their 95% confidence intervals (CI) were estimated, taking control variables into account, such as origin, ethnicity, age on starting to have sexual relations and the number of infecting HPV types. Hypothesis testing involved a two-tailed test (0.05 significance); STATA 10 was used for all statistical analysis.


180 patients fulfilled the inclusion criteria; 7 of them were excluded from statistical analysis, as their HMBS gene could not be amplified. This meant that 114 women were classified as negative for intraepithelial lesions (92.98% having normal cytology) and 59 women having CIN identified by colposcopy (56 women having CIN 1 and 3 having CIN 2+) were included in the analysis (Figure 1).

According to the diagnostic algorithm, a biopsy was taken from 59 women having colposcopy-defined cervical lesions; however, results were only obtained for 45 women as the samples taken for pathology regarding the remaining 14 women were unsatisfactory or had been lost. 23.73% (n = 14) of the women had confirmation of CIN 1 by biopsy (only one woman with CIN 2+ was found). Two of the CIN 2+ women detected by colposcopy had CIN 1 by biopsy.

Regarding women with CIN, median age was 40 years old (14 years IQR) and 41.5 years old (13 years IQR) in women without CIN. Most women participating in the study came from the city of Girardot (60.69%; n = 105); 76.19% (n = 80) of these women were negative for lesions. 95.95% of the women in the study were mestizos (n = 166) and the remaining percentage (4.05%) was made up of indigenous, white and black women. The distribution of socio-demographic characteristics and risk factors associated with CC and the detection of HPV infection was compared between both groups (those with CIN and those without it), significant differences being found regarding origin (p < 0.05) (Table 2).

Table 2 The distribution of socio-demographic characteristics and risk factors

Overall, 91.91% (n = 159) of the sample proved positive for the detection of HPV by RT-PCR, i.e. 93.22% (n = 55) of women with CIN (92.86% positive from the group having CIN 1 and 100% positive from the group having CIN 2+) and 91.23% (n = 104) of women without lesions. 79.24% (n = 126) of all infected women were infected by more than one viral type; this was observed in 81.82% (n = 45) of women with CIN and 77.88% (n = 81) of women negative for lesions. Simultaneous infection was more frequent concerning 2 high-risk viral types in women without lesions (n = 29; 27.88%) and 3 types in women with cervical lesions (n = 19; 34.54%). The most frequently encountered viral types were HPV-18 and HPV-16 in multiple infections, in both groups.

The type-specific distribution revealed HPV-18 as being most frequent in both groups (69.49% in women having CIN and 66.66% in women without CIN), followed by HPV-16 (57.63%) and HPV-45 (38.98%) in women having lesions and HPV-16 (45.61%), HPV-31 (45.61%) and HPV-45 (38.60%) in women proving negative for lesions. HPV-33 had the lowest infection frequency in both groups.

Higher high viral load was recorded concerning HPV-18, HPV-16 and HPV-33 infection in women with CIN, whilst high viral load was most frequent in HPV-31, HPV-45 and HPV-58 infection in women without lesions (Table 3).

Table 3 Type-specific HR-HPV viral load distribution by category

Figures 2 shows absolute (A) and normalised (B) viral load distribution for each HR-HPV type, comparing both groups of women. It is worth stating that HPV-31 (in women without CIN) and HPV-33 (in women having CIN) were the HR-HPV viral types having the highest absolute viral load (median = 9.41 (2.58 IQR) HPV copies for HPV-31 and median = 9.33 (2.94 IQR) HPV copies for HPV-33) whilst HPV-58 infection had the lowest absolute viral load in both groups of women. The range of values for normalised viral load was lower than for absolute (up to 108 HPV copies). The highest absolute viral load was detected for HPV-31 in women with CIN (1022 HPV copies) and highest normalised viral load for HPV-33 in women without CIN. No statistically significant differences were observed regarding viral load distribution (absolute and normalised) for each HR-HPV type in either group of patients.

Figure 2

Distribution of viral load for 6 HR-HPV types in both groups of patients. A. Absolute viral load. B Normalised viral load. The dotted line indicates the median; the box represents the interquartile range (IQR). The whiskers extending from the boxes are the upper and lower limits. Diamond markers represent extreme values. No statistically significant differences were observed regarding DNA load distribution of each HPV type between both groups of patients (Mann–Whitney U test). CIN: cervical intraepithelial neoplasia.

The three patients having CIN 2+ were positive for HR-HPV; HPV-18 and HPV-31 were detected in two of them, whilst the other one was positive for HPV-18, HPV-16 and HPV-45. Even though women having CIN 2+ had a higher viral load (normalised for HPV-18 and absolute for HPV-16) than women having CIN 1, the differences in viral load distribution were not statistically significant. However, normalised viral load for HPV-31 was greater in women negative for cervical lesion and having CIN 1 compared to women having CIN 2+ (marginal significance, i.e. p = 0.052).

The distribution of viral load was also analysed for each HR-HPV type, according to biopsy result. Similar results were found to those with colposcopy (i.e. higher absolute viral loads in women having a severer degree of lesion); and for some types (HPV-31, HPV-33 and HPV-58) higher normalised viral loads; however, the differences were not statistically significant due to the amount of women analysed (Table 4).

Table 4 Distribution of 6 HR-HPV types’ viral load regarding biopsy results

Crude and adjusted odds ratios (OR) were calculated for estimating the magnitude of absolute viral load association with CIN for each viral type. The conditional logistic regression model revealed that HPV-16 infection was significantly associated with greater frequency regarding cervical lesions. However, lesions occurred more frequently in the group of women having low viral load for HPV-16 (0 < VL ≤ 5.86 HPV copies) than in women having a high load (>5.86 HPV copies), (3.53 ORa, 1.16–10.74 95%CI; 2.63 ORa, 1.09–6.36 95%CI, respectively). It was also found that CIN frequency was lower in women having HPV-31 and high viral load (>5.14 HPV copies; 0.34 ORa, 0.15–0.78 95%CI). No significant associations were obtained for the other viral types with the presence of CIN (Table 5).

Table 5 Conditional logistic regression model


This study involved using RT-PCR; this enabled type-specific evaluation of the viral load of the most frequently occurring oncogenic types in Colombia (HPV-16, -18, -31, -33, -45 and -58) [19] for determining each type’s association with precursor lesions of CC. As the method has high sensitivity, specificity and has a broad dynamic range of viral detection (up to 1022 HPV copies) this provided the best approach for this study [12,13,16,18,33].

More HPV infections were found in women having CIN in our sample, amongst whom all women having CIN 2+ were HPV positive. The foregoing was consistent with the fact that almost 99.7% of CC cases are associated with HPV [1]. Previous studies have demonstrated that HPV prevalence in women having CIN is high, proportionally increasing as lesion severity increases [30,34,35]. The prevalence found here was greater than that reported in the literature (100% in CIN 2+, 92.86% in CIN 1 and 91.23% in women without CIN). Women were included in this study who had been previously identified as HPV positive using conventional PCR; this explained the high prevalence of HPV when using RT-PCR in women without lesions. However, variable infection prevalence in women without CIN has been found worldwide (mean = 12.6%) [35,36].

Multiple infection frequency has been variable (16.3%–55%) in previous reports concerning women having lesions [35]; up to 3.4% infection by multiple types of HR-HPV has been described in women without lesions [37]. The present study revealed more multiple infections (in both the general population and women having CIN and those without them) regarding previous reports worldwide, but similar to that previously reported in Colombia [27,38]. However, RT-PCR was used which has high sensitivity and allows small amounts of viral DNA to be detected, compared to other methods [13,18]. This has been previously demonstrated by studies carried out involving RT-PCR which have reported high multiple infection frequency [39,40]. Such differences regarding co-infection prevalence reported in various studies might have been due to their design, sample size, the HPV detection methods used and the population being studied (geographic, demographic and clinical factors) [37].

HPV-18 and HPV-16 occurred most frequently in the present study, followed by HPV-45 and HPV-58. Differences concerning type-specific prevalence have been reported according to geographic and demographic factors [3,35]. It is worth noting that the two most common types found here are responsible for the 70% of cases of CC [41] and that the HPV genotypes evaluated in this study have been reported amongst the 8 HR-HPV types most frequently occurring around the world, in both women without lesions and women with CC [2,3,35].

Absolute viral load was highest in women having CIN compared to women without lesions determined by both colposcopy and biopsy; an increase in the viral load was observed for HPV-18 and HPV-33 proportional to the degree of injury. The foregoing was consistent with previous studies which have revealed the effect of viral load on developing CC. Most HPV-16 studies have found that viral load has increased in relation to the degree of cervical lesion severity [8-11,15,16,42].

An association between viral load and cervical lesion frequency (as assessed by colposcopy) was observed in this study just for HPV-16 and HPV-31. The present study’s results highlighted the fact that women having low HPV-16 load (<5.86 HPV copies) had higher cervical lesion frequency. Such results agreed with those from a study by Manawapat, Stubenrauch et al., [43] which showed that women having persistent HPV-16 infection had lower viral load than those who had a transient infection (4.72 copies/cell cf 20 copies/cell; p = 0.0003). It has been found recently that low viral load was characteristic of intermittently detected persistent infection [44]. Reduced viral load has been described in women having CIN; this has been explained by HPV genome integration associated with down-regulation of viral DNA synthesis, thereby affecting immune system activation and thus reducing the probability of infection being eliminated [43,45-47]. Accordingly, a long period of latency accompanied by low viral load would probably be observed, representing a greater risk for infection persistence and lesion progression [48].

Contrary to our findings regarding HPV-16 viral load, the present study found that a high HPV-31 load (>5.14 HPV copies) was associated with lower cervical lesion frequency. As mentioned previously regarding HPV-16 results, it has been shown that viral load has been greater in transitory infections regarding patients having persistent infection [43]. This agreed with the finding that clearance of HPV-16 infection has been preceded by a transient viral load peak or a plateau phase [33]; such high load was probably necessary for the immunological system to become induced, thereby favouring HPV elimination. According to the above, HPV-31 infections are probably transitory and such association is mediated by an immune system response to high viral load which can eliminate the infection and thus CC precursor lesions do not progress or such lesions regress spontaneously [47].

Regarding the other viral types (HPV-18, -33, -45 and -58), no association was found between viral load and cervical lesion frequency; such result was supported by data from other authors [14-16,42,49,50]. However, a study by Moberg, Gustavsson et al., found that high HPV-16, HPV-31 and HPV-18/45 viral load increased the risk of developing carcinoma in situ (CIS) [51].

The pertinent literature gives different cut-off points when categorising viral load, depending on the quantification technique used (RT-PCR, Hybrid Capture II (HCII)) [8] and distribution in a particular population being evaluated [9,51]. A study which evaluated the clinical significance of HPV-16 and -18 viral loads determined that HPV-16 viral load was related to cervical lesion severity, having a 3.0×106 copies/million cells threshold, this being highly specific for grade 2 diagnosis [15]. Taking the foregoing into account, viral load was categorised in the present study according to percentile distribution, leaving 106 copies as cut-off point for ensuring analysis quality.

It is worth stressing that this technique managed to detect a broad range of viral load, even after stratifying by colposcopy result and viral type. However, this hampered establishing viral load cut-off points to enable identifying women at greater risk of developing cervical lesions; previous studies have also experienced such difficulty [12,16,33].

This work’s value lies in it being a study where a reproducible, sensitive and specific technique (i.e. RT- PCR) was used for detecting and quantifying viral load (absolute and normalised) not just for one viral type but for the 6 most frequently occurring high-risk HPV types described to date in Colombia. Besides, this is the first study carried out in Colombia which has included women from regions having high HPV infection prevalence and which was aimed at evaluating the association between HPV viral load and cervical lesion frequency.

This study’s results were obtained from a single evaluation of HPV viral load; this means that predicting the risk of lesion progression and developing CC later on cannot be ascertained from this. However, it can be stated that our results were consistent with some findings reported in longitudinal studies [33,43,44,48]. The infection duration time of the women included in this study was also unknown; HPV-16 might thus have been greater in women having CIN and lower in HPV-31 women. Another limitation of this study was the low number of women having CIN 2+ which hindered generalising the results to all CC precursor lesions. An analysis of HPV viral load dynamics could thus be more reliable and provide more information for estimating whether HPV infection will worsen or clear and predicting the development of CC or cervical lesions. Prospective studies on women having HPV infection which would include type-specific determination (according to local prevalence) of viral load and women having cervical lesions with different degrees of severity are thus needed for confirming our results.


A significant association was found in this study, low HPV-16 and high HPV-31 viral loads were associated with higher CIN frequency; this might have been related to infection duration and immune system response. HPV infection’s effect on developing CC is influenced by viral load, meaning that measuring load could improve the predictive value of HPV detection; however, the scope of quantification depends on the viral type being detected. These findings support the idea of quantifying viral load (as a type-specific marker of CC), coupled to cytology, for improving and strengthening CC screening programmes. This would lead to identifying HPV positive women at greater risk of developing cervical lesions, as well as identifying women as yet lacking cervical anomalies for predicting the beginnings of neoplasia.



Human papillomavirus


High-risk human papillomavirus


Cervical cancer


Cervical intraepithelial neoplasia

CIN 1:

Cervical intraepithelial neoplasia 1

CIN 2+:

Cervical intraepithelial neoplasia 2 or 3


Hydroxymethylbilane synthase


Polymerase chain reaction


Real-time polymerase chain reaction


Deoxyribonucleic acid


Viral load


Sexually-transmitted diseases


Hybrid capture II




FluoroLink mono reactive dye Cy5




ZEN and Iowa Black FQ


Iowa Black RQ


Standard deviation


Confidence interval


Interquartile range


Not applicable


Odds ratio


  1. 1.

    Ault KA. Epidemiology and natural history of human papillomavirus infections in the female genital tract. Infect Dis Obstet Gynecol. 2006;2006(Suppl):1–5.

    Article  Google Scholar 

  2. 2.

    Munoz N, Bosch FX, de Sanjose S, Herrero R, Castellsague X, Shah KV, et al. Epidemiologic classification of human papillomavirus types associated with cervical cancer. N Engl J Med. 2003;348:518–27.

    Article  PubMed  Google Scholar 

  3. 3.

    Li N, Franceschi S, Howell-Jones R, Snijders PJ, Clifford GM. Human papillomavirus type distribution in 30,848 invasive cervical cancers worldwide: Variation by geographical region, histological type and year of publication. Int J Cancer. 2011;128:927–35.

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    de Freitas AC, Gurgel AP, Chagas BS, Coimbra EC, Do Amaral CM. Susceptibility to cervical cancer: an overview. Gynecol Oncol. 2012;126:304–11.

    Article  PubMed  Google Scholar 

  5. 5.

    Bosch FX, Munoz N. The viral etiology of cervical cancer. Virus Res. 2002;89:183–90.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Munoz N, Hernandez-Suarez G, Mendez F, Molano M, Posso H, Moreno V, et al. Persistence of HPV infection and risk of high-grade cervical intraepithelial neoplasia in a cohort of Colombian women. Br J Cancer. 2009;100:1184–90.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Ramanakumar AV, Goncalves O, Richardson H, Tellier P, Ferenczy A, Coutlee F, et al. Human papillomavirus (HPV) types 16, 18, 31, 45 DNA loads and HPV-16 integration in persistent and transient infections in young women. BMC Infect Dis. 2010;10:326.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Hernández-Hernández DM, Ornelas-Bernal L, Guido-Jiménez M, Apresa-Garcia T, Alvarado-Cabrero I, Salcedo-Vargas M, et al. Association between high-risk human papillomavirus DNA load and precursor lesions of cervical cancer in Mexican women. Gynecol Oncol. 2003;90:310–7.

    Article  PubMed  Google Scholar 

  9. 9.

    Josefsson AM, Magnusson PK, Ylitalo N, Sorensen P, Qwarforth-Tubbin P, Andersen PK, et al. Viral load of human papilloma virus 16 as a determinant for development of cervical carcinoma in situ: a nested case–control study. Lancet. 2000;355:2189–93.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Moberg M, Gustavsson I, Wilander E, Gyllensten U. High viral loads of human papillomavirus predict risk of invasive cervical carcinoma. Br J Cancer. 2005;92:891–4.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  11. 11.

    Ylitalo N, Sorensen P, Josefsson AM, Magnusson PK, Andersen PK, Ponten J, et al. Consistent high viral load of human papillomavirus 16 and risk of cervical carcinoma in situ: a nested case–control study. Lancet. 2000;355:2194–8.

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Andersson S, Safari H, Mints M, Lewensohn-Fuchs I, Gyllensten U, Johansson B. Type distribution, viral load and integration status of high-risk human papillomaviruses in pre-stages of cervical cancer (CIN). Br J Cancer. 2005;92:2195–200.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Moberg M, Gustavsson I, Gyllensten U. Real-time PCR-based system for simultaneous quantification of human papillomavirus types associated with high risk of cervical cancer. J Clin Microbiol. 2003;41:3221–8.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Sherman ME, Schiffman M, Cox JT, Atypical Squamous Cells of Undetermined Significance/Low-Grade Squamous Intraepithelial Lesion Triage Study G. Effects of age and human papilloma viral load on colposcopy triage: data from the randomized Atypical Squamous Cells of Undetermined Significance/Low-Grade Squamous Intraepithelial Lesion Triage Study (ALTS). J Natl Cancer Inst. 2002;94:102–7.

    Article  PubMed  Google Scholar 

  15. 15.

    Carcopino X, Henry M, Mancini J, Giusiano S, Boubli L, Olive D, et al. Significance of HPV 16 and 18 viral load quantitation in women referred for colposcopy. J Med Virol. 2012;84:306–13.

    Article  PubMed  Google Scholar 

  16. 16.

    Swan DC, Tucker RA, Tortolero-Luna G, Mitchell MF, Wideroff L, Unger ER, et al. Human papillomavirus (HPV) DNA copy number is dependent on grade of cervical disease and HPV type. J Clin Microbiol. 1999;37:1030–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Jenkins A, Allum AG, Strand L, Aakre RK. Simultaneous detection, typing and quantitation of oncogenic human papillomavirus by multiplex consensus real-time PCR. J Virol Methods. 2013;187:345–51.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Schmitt M, Depuydt C, Benoy I, Bogers J, Antoine J, Pawlita M, et al. Viral load of high-risk human papillomaviruses as reliable clinical predictor for the presence of cervical lesions. Cancer Epidemiol Biomarkers Prev. 2013;22:406–14.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Camargo M, Soto-De Leon SC, Sanchez R, Perez-Prados A, Patarroyo ME, Patarroyo MA. Frequency of human papillomavirus infection, coinfection, and association with different risk factors in Colombia. Ann Epidemiol. 2011;21:204–13.

    Article  PubMed  Google Scholar 

  20. 20.

    Ramírez VG, Bustamante MA, Sarmiento CA. Norma Técnica para la Detección Temprana del Cáncer de Cuello Uterino y Guía de Atención de Lesiones Preneoplásicas de Cuello Uterino. Colombia: Ministerio de Salud, Dirección General de Promoción y Prevenció; 2000. p. 1–26.

    Google Scholar 

  21. 21.

    Rijkaart DC, Berkhof J, van Kemenade FJ, Coupe VM, Rozendaal L, Heideman DA, et al. HPV DNA testing in population-based cervical screening (VUSA-Screen study): results and implications. Br J Cancer. 2012;106:975–81.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Sellors J, Sankaranarayanan R. La colposcopia y el tratamiento de la neoplasia intraepitelial cervical: Manual para principiantes. Lyon, Francia: International Agency for Research on Cancer (IARC); 2003. p. 140.

    Google Scholar 

  23. 23.

    Boicea A, Patrascu A, Surlin V, Iliescu D, Schenker M, Chiutu L. Correlations between colposcopy and histologic results from colposcopically directed biopsy in cervical precancerous lesions. Rom J Leg Med. 2012;53:735–41.

    Google Scholar 

  24. 24.

    Kitchener HC, Castle PE, Cox JT. Chapter 7: Achievements and limitations of cervical cytology screening. Vaccine. 2006;24 Suppl 3:S3/63–70.

    Google Scholar 

  25. 25.

    Cronje HS, Cooreman BF, Beyer E, Bam RH, Middlecote BD, Divall PD. Screening for cervical neoplasia in a developing country utilizing cytology, cervicography and the acetic acid test. Int J Gynecol Obstet. 2001;72:151–7.

    CAS  Article  Google Scholar 

  26. 26.

    Cronje HS, Parham GP, Cooreman BF, de Beer A, Divall P, Bam RH. A comparison of four screening methods for cervical neoplasia in a developing country. Am J Obstet Gynecol. 2003;188:395–400.

    Article  PubMed  Google Scholar 

  27. 27.

    Soto-De Leon S, Camargo M, Sanchez R, Munoz M, Perez-Prados A, Purroy A, et al. Distribution patterns of infection with multiple types of human papillomaviruses and their association with risk factors. PLoS One. 2011;6:e14705.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Soto-De Leon SC, Del Rio-Ospina L, Camargo M, Sanchez R, Moreno-Perez DA, Perez-Prados A, et al. Persistence, clearance and reinfection regarding six high risk human papillomavirus types in Colombian women: a follow-up study. BMC Infect Dis. 2014;14:395.

    Article  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22:4673–80.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Wu Y, Chen Y, Li L, Yu G, Zhang Y, He Y. Associations of high-risk HPV types and viral load with cervical cancer in China. J Clin Virol. 2006;35:264–9.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Solomon D, Davey D, Kurman R, Moriarty A, O'Connor D, Prey M, et al. The 2001 Bethesda system: terminology for reporting results of cervical cytology. JAMA. 2001;2002(287):2114–9.

    Google Scholar 

  32. 32.

    Broutet N, Dangou JM, Fadhil I, Lazdane G, Luciani S, Mathur A, et al. WHO guidelines for screening and treatment of precancerous lesions for cervical cancer prevention. South Africa: World Health Organization; 2013. p. 1–60.

    Google Scholar 

  33. 33.

    Monnier-Benoit S, Dalstein V, Riethmuller D, Lalaoui N, Mougin C, Pretet JL. Dynamics of HPV16 DNA load reflect the natural history of cervical HPV-associated lesions. J Clin Virol. 2006;35:270–7.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Moore RA, Ogilvie G, Fornika D, Moravan V, Brisson M, Amirabbasi-Beik M, et al. Prevalence and type distribution of human papillomavirus in 5,000 British Columbia women–implications for vaccination. Cancer Causes Control. 2009;20:1387–96.

    Article  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Guan P, Howell-Jones R, Li N, Bruni L, de Sanjose S, Franceschi S, et al. Human papillomavirus types in 115,789 HPV-positive women: a meta-analysis from cervical infection to cancer. Int J Cancer. 2012;131:2349–59.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Poljak M, Seme K, Maver PJ, Kocjan BJ, Cuschieri KS, Rogovskaya SI, et al. Human papillomavirus prevalence and type-distribution, cervical cancer screening practices and current status of vaccination implementation in Central and Eastern Europe. Vaccine. 2013;31 Suppl 7:H59–70.

    Article  PubMed  Google Scholar 

  37. 37.

    Cuschieri KS, Cubie HA, Whitley MW, Seagar AL, Arends MJ, Moore C, et al. Multiple high risk HPV infections are common in cervical neoplasia and young women in a cervical screening population. J Clin Pathol. 2004;57:68–72.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Garcia DA, Cid-Arregui A, Schmitt M, Castillo M, Briceno I, Aristizabal FA. Highly sensitive detection and genotyping of HPV by PCR multiplex and luminex technology in a cohort of colombian women with abnormal cytology. Open Virol J. 2011;5:70–9.

    Article  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Xi LF, Hughes JP, Edelstein ZR, Kiviat NB, Koutsky LA, Mao C, et al. Human Papillomavirus (HPV) type 16 and type 18 DNA Loads at Baseline and Persistence of Type-Specific Infection during a 2-year follow-up. J Infect Dis. 2009;200:1789–97.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Schmitt M, Depuydt C, Benoy I, Bogers J, Antoine J, Arbyn M, et al. Multiple human papillomavirus infections with high viral loads are associated with cervical lesions but do not differentiate grades of cervical abnormalities. J Clin Microbiol. 2013;51:1458–64.

    Article  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Ibeanu OA. Molecular pathogenesis of cervical cancer. Cancer Biol Ther. 2011;11:295–306.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Zerbini M, Venturoli S, Cricca M, Gallinella G, De Simone P, Costa S, et al. Distribution and viral load of type specific HPVs in different cervical lesions as detected by PCR-ELISA. J Clin Pathol. 2001;54:377–80.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  43. 43.

    Manawapat A, Stubenrauch F, Russ R, Munk C, Kjaer SK, Iftner T. Physical state and viral load as predictive biomarkersfor persistence and progression of HPV16-positive cervical lesions: results from a population based long-term prospective cohort study. Am J Cancer Res. 2012;2:192–203.

    PubMed  PubMed Central  Google Scholar 

  44. 44.

    Winer RL, Xi LF, Shen Z, Stern JE, Newman L, Feng Q, et al. Viral load and short-term natural history of type-specific oncogenic human papillomavirus infections in a high-risk cohort of midadult women. Int J Cancer. 2014;134:1889–98.

    CAS  Article  PubMed  Google Scholar 

  45. 45.

    Kulmala SM, Syrjanen 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;59:513–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  46. 46.

    Nakagawa M, Stites DP, Patel S, Farhat S, Scott M, Hills NK, et al. Persistence of human papillomavirus type 16 infection is associated with lack of cytotoxic T lymphocyte response to the E6 antigens. J Infect Dis. 2000;182:595–8.

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Brenna SM, Syrjanen KJ. Regulation of cell cycles is of key importance in human papillomavirus (HPV)-associated cervical carcinogenesis. Sao Paulo Med J. 2003;121:128–32.

    Article  PubMed  Google Scholar 

  48. 48.

    van Duin M, Snijders PJ, Schrijnemakers HF, Voorhorst FJ, Rozendaal L, Nobbenhuis MA, et al. Human papillomavirus 16 load in normal and abnormal cervical scrapes: an indicator of CIN II/III and viral clearance. Int J Cancer. 2002;98:590–5.

    Article  PubMed  Google Scholar 

  49. 49.

    Chan PK, Cheung JL, Cheung TH, Lo KW, Yim SF, Siu SS, et al. Profile of viral load, integration, and E2 gene disruption of HPV58 in normal cervix and cervical neoplasia. J Infect Dis. 2007;196:868–75.

    CAS  Article  PubMed  Google Scholar 

  50. 50.

    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 the development of incident disease. Int J Cancer. 2007;121:2787–93.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  51. 51.

    Moberg M, Gustavsson I, Gyllensten U. Type-specific associations of human papillomavirus load with risk of developing cervical carcinoma in situ. Int J Cancer. 2004;112:854–9.

    CAS  Article  PubMed  Google Scholar 

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This project was supported by the Basque Development Cooperation Agency, the Spanish International Development Cooperation Agency (AECID) (Project 10-CAP1-0197) and the Colombian Science, Technology and Innovation Department (COLCIENCIAS) (contract # 0709-2013). The sponsors played no role in study design, data collection and/or analysis, decision to publish, or preparation of the manuscript. We would like to express our thanks to Jason Garry for translating and revising this manuscript.

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Correspondence to Manuel Alfonso Patarroyo.

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Competing interests

All authors declare that they have no competing interests.

Authors’ contributions

All the authors were involved in developing the study and preparing the ensuing article. LDRO and SCSDL provided the concept and designed the study, as well as acquiring, analysing and interpreting the data and writing the article. MC helped draft the manuscript and assisted with data analysis. DAMP developed the methodology and was involved in drafting the manuscript. RS provided statistical analysis, interpreted data and helped in writing the manuscript. The study was supervised by APP, MEP and MAP who revised the document and lent their expertise regarding the discussion of results. All authors have read and approved the final version of the manuscript.

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Del Río-Ospina, L., Soto-De León, S.C., Camargo, M. et al. The DNA load of six high-risk human papillomavirus types and its association with cervical lesions. BMC Cancer 15, 100 (2015).

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  • Cervical intraepithelial neoplasia
  • HR-HPV
  • HPV DNA load
  • RT-PCR