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| ABSTRACT |
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| INTRODUCTION |
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The effect of high-risk types of HPV DNA infection on CIN development is highly influenced by viral number copies. In this context, measuring HPV load could improve the positive predictive value of HPV testing based on the assumption that higher load values are more strongly associated with severe disease.
Several studies have suggested that a high HPV-DNA viral load may be a candidate marker that could help identify women at greater risk of CIN progression.3–6 In fact, some studies have pointed out that high viral load in cytological normal epithelium could also be a risk factor for neoplastic progression.3,4 To increase our knowledge of HPV-induced carcinogenesis, we evaluated the relationship between HPV 16 copy numbers with respect to the grade of cervical disease to identify the existence of a HPV type-dependent viral load effect in Honduran women.
| MATERIALS AND METHODS |
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After formal written consent, a thorough physical examination was performed, and a structured epidemiological questionnaire was administered to each woman. The study was reviewed and approved by the correspondent Ethical Committee. A total of 118 samples from the women with cervical dysplasia were positive for HPV 16 (42%) and 44 of the women with normal cytology (9%).
From these 162 samples positive for HPV 16 there was not enough DNA to do the viral load from 52 samples, so 110 frozen cervical DNA specimens were available for this study, 23 from women with normal cytology, 25 samples from women with low squamous intraepithelial lesions (LSIL), and 62 from women with high squamous intraepithelial lesions (HSIL).
HPV DNA detection. Sample collection. For the analysis of HPV, cervical samples were taken from the transformation zone with an Ayre wooden spatula. Cells were eluted from the spatula in 5 mL of PBS (Phosphate Buffered Saline), pH 7.6 containing 0.05% thimerosal. Cells were vortexed, centrifuged for 10 min at 4500 rpm, then resupended in 1 mL of PBS and centrifuged again for 10 min at 4500 rpm, resuspended in 0.5 mL of PBS and stored at –20°C for further analysis. DNA was extracted from thawed cells according to the standard Boom method as previously described.7 In brief, 200 µL of material was pipetted into a reaction vessel containing 30 µL of celite and 1 mL of a guanidinium thiocyanate (GuSCN)-containing lysis buffer, released nucleic acid (NA) was bound to the celite, forming complexes that could be rapidly sedimented by centrifugation. These complexes were then washed twice with 1 mL of a GuSCN-containing washing buffer, twice with 1 mL of 70% ethanol, and once with 1 mL of acetone; the complexes were dried, and NA was subsequently eluted in a final volume of 100 µL nuclease-free water; 10 µL were used for each of the various PCR analyses. Every 5 samples, a negative extraction control was processed as well.
To avoid contamination by PCR products, sample preparation and the amplification reaction were all performed in separate rooms.
Qualitative β-globin detection. From the start, all samples were prescreened to assess DNA sample integrity with the '-globin primers PCO3 (5' ACA CAA CTG TGT TCA CTA GC 3') and PCO5 (5' GAA ACC CAA GAG TCT TCT CT 3').
PCR amplification of HPV DNA. Broad-spectrum HPV DNA amplification was performed using a short PCR fragment assay (HPV SPF10 Line Blot 25, Labo Bio-medical products B.V. Rijswijk, The Netherlands). This assay amplifies a 65-bp fragment of the L1 open reading frame, and allows detection of at least 43 different HPV types.8,9
Appropriate negative and positive controls were used to monitor the performance of the PCR method in each experiment.
HPV detection by DEIA. The presence of HPV DNA was determined by hybridization of SPF10 amplimers to a mixture of general HPV probes recognizing a broad range of high-risk, low-risk, and possible high-risk HPV genotypes in a microtiter plate format, as described previously.9,10 All HPV DNA positive samples were further genotyped.
HPV genotyping by reverse hybridization using the HPV SPF10 Line Blot 25 genotyping system. The 28 oligonucleotide probes that recognize 25 different types were immobilized as parallel lines to membrane strips (Labo Bio-medical products B.V. Rijswijk, The Netherlands). The HPV genotyping assay was performed as described previously.10 Each experiment was performed with separate positive and negative PCR controls.
The LiPA strips were manually interpreted using the provided reference guide. The samples that tested positive using the DNA Enzyme Immuno Assay but showed no results on the LiPA strip were considered to be HPV X-type (i.e., genotypes not available on the LiPA strip).
Quantitative HPV 16 viral load determination. The amount of HPV 16 DNA in cervical samples was determined by real-time PCR using the LightCycler System (Roche). The amplification was performed in a 20 µL volume containing 1x Hybridization Probe mix (Roche); 3.5 mM MgCl2; 20 µM concentration of each probe (HPV16-Fl: 5'-ACA AAA GGT TAC AAT ATT GTA ATG GGC TCT labeled with fluorescein and HPV16: 5'-CCG GTT CTG CTT GTC CAG CTG G –PH labeled with LC Red 640), 50 µM concentration of each primer (HPV16-1: 5'-GAG GAG GAG GAT GAA ATA GAT GGT-3' and HPV16-2: 5'-GCC CAT TAA CAG GTC TTC CAA-3'), and 5 µL of DNA. The amplification ramp included an initial hold step of 10 min followed by a denaturation cycle of 3 sec at 95°C, an annealing cycle of 15 sec at 56 °C, and an elongation cycle of 9 sec at 72°C for 45 cycles.11
For quantification of HPV 16, standard curves were generated using 10-fold dilutions of HPV 16 plasmid (ranging from 100 to 10,000,000 fg per reaction). The β-globin gene was quantified with the LightCycler Control Kit DNA, using a standard curve of 10-fold dilutions of human genomic DNA ranging from 3 pg to 3 ng per reaction.
Analysis of results and statistical methods. Normalized viral load was calculated dividing the HPV copy number by the β-globin copy number (based on 2 β-globin copies per cell) and was expressed as copies of virus per cell equivalent according to the formula described by Carcopino and others (2006)12:
Viral load (HPV copies/cell) = Number of HPV copies/ Number of β-globin copies/2. Calculations and statistical analysis were done using Epi Info 2000 v 3.3.2 (CDC, Atlanta, GA, USA), Excel X® (Microsoft®, USA), and MATLAB® Statistics Toolbox 6 (The Mathworks, USA) programs. Statistical significance was determined by Kruskal Wallis test. Any P value
0.05 was considered significant. Lilliefors and Jarque-Bera tests were used as evidence for normality of the log-transformed data.
| RESULTS |
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The amount of HPV DNA/specimen varied significantly within a single group and between the different groups. The stratification by age within the clinical groups showed that the viral load increased with the progression of the lesion for all the groups analyzed. The highest mean HPV 16 viral load was found in women older than 45 years with HSIL, whereas the largest difference was observed between the age group < 35 and the rest of the groups. However, age differentiation was not statistically significant within the clinical groups. From the HPV 16 positive women with a normal Pap smear result, 61% had a single HPV 16 infection with an average HPV 16 viral load of 0.8 HPV DNA copies/cell and 39% had multiple HPV infections with an average HPV 16 viral load of 0.6 DNA copies/cell.
Among the 25 women with LSIL, 72% were found positive for single HPV infection with a mean HPV 16 viral load of 10.0 HPV DNA copies/cell, whereas 28% were found positive for multiple HPV infections with a mean HPV 16 viral load of 6.1 HPV DNA copies/cell. Women with HSIL had a 66% single HPV type infectivity with a mean HPV 16 viral load of 79 HPV DNA copies/cell and 34% multiple HPV type infectivity with a mean HPV 16 viral load of 67 HPV DNA copies/ cell. Despite the consistent decrease in HPV-16 viral load from single to multiple HPV infections in all clinical groups, the differentiation within the clinical groups was not statistically significant.
In coinfections with HPV16, the 3 most common types found were: HPV 6 in 27% (10/37), HPV 18 in 19% (7/37), and HPV 74 in 16% (6/37).
| DISCUSSION |
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Real-time PCR techniques have been developed to quantify HPV in clinical samples. Moreover, the Hybrid Capture II provides a semi-quantitative measurement of HPV-DNA and some studies have demonstrated that the estimated hc2 load correlates well with the precise load generated by real-time PCR.15–19 However, real-time PCR assays more accurately measure HPV16 viral load by adjusting the signal obtained for HPV-16 DNA with the amount of cellular DNA calculated for amplification of a human gene, therefore providing a more accurate HPV viral load.3,4,6,20–23 Such correction is essential if bias in viral load measurements is to be avoided because more cellular material can be obtained from sampling high-grade cervical lesions, thus potentially generating artificially higher HPV viral loads.4 However, due to low multiplicity for different hr-HPV types, real-time PCR methods are not (yet) suitable as a high-throughput "screening tool."
In the present study, the method used allowed for normalizing the numbers of copies of viral DNA against the quantity of host DNA, permitting calculation of true viral load in terms of the number of DNA copies/cell, thus eliminating the fluctuation due to variation in cell content among specimens from different subjects.
Although in general the amount of HPV 16 found in patients with normal cervix was low, 2 patients had a high HPV 16 viral load (> 100 HPV copies/cell), close to viral load levels observed in patients with high-grade squamous intraepithelial lesion. It would be helpful to follow-up these patients to differentiate transient infection from possible progression to high-grade squamous intraepithelial lesion. However, financial and logistic restraints partially impaired follow-up. Considering that Honduras does not have a well-organized National Cervical Cancer Program, it was difficult for the women positive for HPV 16 to comply with the follow-up visits and was the main limitation of this study.
In our survey, age strata analysis revealed a correlation between high viral load and severity of cervical lesion in all the age groups studied; even though results of this study were obtained with a single measurement of exposure, it was not possible to know whether an ordinal measurement of HPV DNA could be a predictor of progression. However, results were consistent with some findings observed in follow-up study designs that studied viral load of HPV and development of cervical cancer that indicated that measurement of viral load, as a surrogate for HPV persistence, may identify those women at increased risk of developing cervical lesions.3–6
Our results also showed higher HPV 16 viral loads in single infections as compared with multiple infections. Some studies have shown, besides viral load, an association between persistent HPV infection and the presence of multiple types.24 On the contrary, other studies have shown that clearance of a type-specific HPV infection seem to be independent of the presence of a coinfection with other types.25
The study findings have emphasized the significance of HPV 16 viral load in the risk determinant of cervical SIL and invasive cancer using a method that allows adjusting for differences in the number of cells collected for viral quantitation.
In the context of this study and given the need for additional biomarkers that could distinguish transient infections from those that impose a risk of progressing into cervical cancer, it appears appropriate to evaluate quantitative PCR assays in larger prospective studies of cytological normal women, which will help to determine the natural history and biology of latent infection.
Taken together, the data presented here could advance our understanding of the relationship of HPV 16 viral loads with respect to the grade of cervical disease in Honduran women.
Received June 13, 2007. Accepted for publication January 21, 2008.
Acknowledgments: The authors are grateful to Jose E. Tabora for statistical analysis and to the Sustainable Sciences Institute (San Francisco, CA) for manuscript review.
Financial support: This study was supported by The Netherlands Foundation for the Advancement of Tropical Research (WOTRO number WB 92-215)
* Address correspondence to Willem Melchers, Department of Medical Microbiology, Radboud University Nijmegen Medical Centre, The Netherlands. E-mail: W.Melchers{at}mmb.umcn.nl ![]()
Authors addresses: Nelba Tábora, Department of Microbiology, Universidad Nacional Autónoma de Honduras, P.O. Box 30078, Tegucigalpa, Honduras, Tel: 504-236-6730, Fax: 504-220-1416, E-mail: nelba_tabora{at}hotmail.com. Annabelle Ferrera, Department of Microbiology, Universidad Nacional Autónoma de Honduras, P.O. Box 30078, Tegucigalpa, Honduras, Tel: 504-236-6730, Fax: 504-220-1416, E-mails: annabelle{at}amnettgu.com and f_annabelle{at}hotmail.com. Judith Bakkers, Department of Medical Microbiology, Radboud University, Nijmegen Medical Centre, P.O. Box 901, 6500 HB Nijmegen, The Netherlands, Tel: 31-0-24-361-4356, Fax: 31-0-24-354-0216, E-mail: j.bakkers{at}mmb.umcn.nl. Leon F. A .G. Massuger, Department of Obstetrics and Gynaecology, Radboud University Nijmegen Medical Centre, P.O. Box 901, 6500 HB Nijmegen, The Netherlands, Tel: 31-0-24-361-7637, Fax: 31-0-24-366-8597, E-mail: L.Massuger{at}obgyn.umcn.nl. Willem J. G. Melchers, Department of Medical Microbiology, Radboud University Nijmegen Medical Centre, P.O. Box 901, 6500 HB Nijmegen, The Netherlands, Tel: 31-0-24-361-4356, Fax: 31-0-24-354-0216, E-mail: w.melchers{at}mmb.umcn.nl.
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