Literature DB >> 15756259

High viral loads of human papillomavirus predict risk of invasive cervical carcinoma.

M Moberg1, I Gustavsson, E Wilander, U Gyllensten.   

Abstract

High loads of human papillomavirus (HPV) 16 and HPV 18/45 increase the risk of developing invasive cervical carcinoma, revealing higher risk in percentiles of highest viral loads for HPV 16 (odds ratio (OR) 58.7, 95% confidence interval (CI) 21.9-151.4) compared to HPV 18/45 (OR 3.3, 95% CI 1.5-7.2). Thus, HPV load is a type-dependent risk marker for invasive carcinoma.

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Year:  2005        PMID: 15756259      PMCID: PMC2361906          DOI: 10.1038/sj.bjc.6602436

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Human papillomavirus (HPV) is a necessary cause of cervical cancer, but the high prevalence of transient infections makes detection of the presence or absence of virus an inefficient means of identifying women at risk of developing cervical cancer (Ho ; Jacobs ). Viral load has been suggested as a marker of nontransient infection, and high HPV load in smears with normal cytology has been associated with the risk of developing dysplasia and carcinoma in situ (CIS) (Josefsson ; van Duin ; Dalstein ; Moberg ). However, it is not known whether high viral load is also predictive of invasive cervical cancer, as past studies have pooled the outcomes of invasive cancers together with earlier stages of the disease (Lorincz ; Sherman , 2003; Sun ; Dalstein ; Gravitt ). Integration of high-risk HPV into the cell genome has been suggested to play a pivotal role in malignant transformation (Boshart ; Cullen ; Daniel ). As a consequence, the association between viral load and development of CIS may not automatically imply a strong association of high viral load and progression into invasive carcinoma. Here, we determine whether viral load in cervical smears is a risk marker of later developing invasive cervical cancer.

MATERIALS AND METHODS

Cases diagnosed with invasive squamous-cell carcinoma of the cervix and with registered smears taken at least 1 year prior to the diagnosis date were identified from the organised screening program (PAP-smear register) and the tumour register at the Clinic of Pathology, Uppsala Academic Hospital and Uppsala University, Sweden. Controls were selected from the same organised screening programme and have been described in detail elsewhere (Ylitalo ). Birth years of cases and controls ranged from 1922 to 1968. Two strategies were used to select smears from both cases and controls. The screening history of individual women was examined to identify suitable smears for inclusion. First, we attempted to study an early phase of the infection. Therefore, we started from the date of diagnosis and stepped backwards in the screening history until reaching a smear fulfilling the criteria of (a) being negative itself, (b) being preceded by a normal smear or being preceded by an abnormal smear taken at least 3 years earlier, or being the first registered smear. The time span of 3 years was chosen to increase the likelihood of spontaneous regression of the preceding lesion (Schlecht ), and consequently decreasing the risk of selecting false-negative smears. Secondly, up to three smears per woman were chosen from cases and controls at random to increase the chance of including an existing HPV infection. Smears collected less than 1 year prior to diagnosis were excluded. DNA was extracted from archival PAP smears using previously described methods (Josefsson ), and amounts of human genomic DNA, HPV 16, HPV 31 and a combined load for HPV 18 and 45 were estimated using published methods (Moberg ). Viral load is reported as HPV genomes per cell equivalent. An estimate of 6.6 pg per human cell was used to convert human DNA estimates into cell equivalents (CE). The strategy of a combined load of HPV 18 and 45 was employed to minimise the number of parallel quantitative PCR reactions. Odds ratios (ORs) were estimated by logistic regression (LOGISTIC procedure, SAS v6.12, SAS Institute Inc., Cary NC, USA).

RESULTS

A single, normal smear was obtained from 62 cases and 501 controls (Table 1). The smears were collected on average 9 years (range 1–28) prior to the diagnosis date and classified as negative for squamous cell abnormalities. A total of 10 cases had registered abnormal cytology during the screening interval before the collection of the normal smear included in this study. Four cases had diagnoses equivalent to ASCUS or LSIL, and six cases HSIL, as the worst registered lesion prior to the normal smear. However, in these four cases, the smear taken closest before the selected smear was classified as negative for lesions.
Table 1

Characteristics of the case-control material

  Single smear cohort
Random smear cohort
  Cases Controls Cases Controls
n 62 501 139 548
Year of birth     
 Mean1946.81949.01946.61949.0
 Range1922–19651922–19681922–19681922–1968
     
Age at smear collection     
 Mean34.730.934.629.8
 Range20–6215–6315–6215–63
     
Human DNA     
 Meana159.8219.2175.7206.2
 Range5.0–13545.4–62645.0–24655.0–15914
     
HPV 16     
 No of positive women28288756
 No of positive smears282812066
 Mean viral loadb138.317.797.012.9
 Range0.05–28120.02–300.30.03–28120.01–300.3
     
HPV 31     
 No of positive women519934
 No of positive smears5191539
 Mean viral loadb17.737.429.850.5
 Range0.50–36.70.03–543.10.3–147.20.02–762.6
     
HPV 18/45     
 No of positive women8282855
 No of positive smears8283964
 Mean viral loadb157.677.2265.371.4
 Range0.11–11580.01–14020.02–51050.01–2044

Mean estimated number of human cells equivalents per reaction.

Mean number of HPV genomes per human cell equivalent.

In all, 45% of cases and 6% of controls test positive for HPV 16 (Table 1). In estimating the risk, crude ORs are presented since initial introduction of birth year and age at smear collection in the regression model did not alter the estimates appreciably. Odds ratio increases with HPV 16 viral load, reaching a maximum of OR=51 in the percentile with the highest viral load (Table 2). HPV 31 is found in 8% of cases and 4% of controls and HPV 18/45, detected together, are found in 13% of cases and 6% of controls. The ORs for HPV 31 and HPV 18/45 are significant for the percentiles with the highest viral load (Table 2).
Table 2

Odds ratios for invasive cervical carcinoma in relation to the mean normalised viral load of individual HPV types or group of closely related HPV types

    95% CI
 
Limits Cases/controls OR Lower limit Upper limit P-value
Single smear cohort     
 HPV 1634/473Ref.b
  Negative4/105.5651.65818.6730.0055
  0<VLa⩽0.445/97.7292.45424.3420.0005
  0.44<VLa⩽2.478/618.5496.08756.5240.0001
  2.47<VLa⩽18.2211/351.01013.583191.5600.0001
  18.22<VLa     
      
 HPV 3157/482Ref.b
  Negative0/7009990.9866
  0<VLa⩽0.502/72.4160.49011.9100.2785
  0.50<VLa⩽10.253/55.0741.18121.7910.0290
  10.25<VLa     
      
 HPV 18/4554/473Ref.b
  Negative2/101.7520.3748.2050.4767
  0<VLa⩽0.112/91.9470.4109.2430.4021
  0.11<VLa⩽3.404/93.8931.16013.0680.0278
  3.40<VLa     
      
Random smear cohort     
 HPV 1652/492Ref.b
  Negative13/235.3482.55711.1830.0001
  0<VLc⩽0.4918/189.4624.63719.3040.0001
  0.49<VLc⩽3.0925/1023.65410.76751.9670.0001
  3.09<VLc⩽21.9631/558.66221.866151.3770.0001
  21.96<VLc     
      
 HPV 31130/514Ref.b
  Negative2/130.6080.1362.7920.5163
  0<VLc⩽1.293/101.1860.3224.3720.7976
  1.29<VLc⩽12.704/111.4380.4514.5880.5397
  12.70<VLc     
      
 HPV 18/45111/492Ref.b
  Negative9/192.1000.9254.7640.0760
  0<VLc⩽0.657/211.4770.6133.5610.3846
  0.65<VLc⩽2.6512/163.3241.5307.2250.0024
  2.65<VLc     

Normalised viral load (number of HPV genomes per human cell equivalent).

Reference group.

Mean normalised viral load (number of HPV genomes per human cell equivalent) based on all HPV-positive smears per individual.

The random set includes 139 cases (261 smears) and 548 controls (1049 smears) (Table 1). In all, 168 (64%) of the included smears from cases were classified as negative for malignant cells. The corresponding number for controls is 819 (78%). Cytological information was missing in the archives for a total of five smears from cases and 188 smears from controls. In total, 63% of cases and 10% of controls test positive for HPV 16 (Table 2). The OR, calculated from the mean HPV 16 viral load per woman, increased with viral load and reached a maximum of OR=59 for the percentile with the highest viral load (Table 2). The ORs for HPV 31 are not significant, while the OR for HPV 18/45 is significant for the percentile with the highest viral load (Table 2).

DISCUSSION

Our results indicate that increasing viral load of HPV 16 in cervical smears increases the risk of future invasive cervical cancer. For HPV 18/45, a significant OR was only seen for the highest viral-load percentile. The relationship between OR of invasive cancer and viral load of HPV 16 is similar to that previously described for CIS (Moberg ) (Figure 1); consistent with this, CIS and invasive cervical cancer reflect the same basic aetiology. Thus, our results show that a high viral load in PAP smears is a risk factor not only for the development of CIS but also for invasive cancer. Our data support the hypothesis of Peitsaro that high viral loads are likely to increase the risk for events initiating dysplasia such as viral integration. Given that integration is a random event, the risk for such an event would increase with high viral loads, independent of whether a high viral load reflects widespread infection or high copy numbers per cell. HPV 16 displays a generally higher risk for invasive cervical cancer development over viral load categories than HPV 18 and HPV 31. Interestingly, HPV 16 appears to be able to induce malignant transformation without integration (Pirami ; Badaracco ; Hudelist ). This indicates that additional factors to integration may be important for malignant transformation. Longitudinal studies including both the physical state and load of the virus are needed in order to determine their relative importance for development of cervical cancer. Judging from our data, HPV load provides information about the risk for subsequent development of invasive carcinomas, but the extent correlates strongly with the HPV type.
Figure 1

Odds ratio with 95% CI of cervical CIS (empty bars) or invasive cervical carcinoma (filled bars) depending on HPV 16 load. VL* represents the number of HPV 16 genomes per human cell equivalent.

  22 in total

1.  Integrated human papillomavirus type 16 is frequently found in cervical cancer precursors as demonstrated by a novel quantitative real-time PCR technique.

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2.  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).

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3.  Viral load of high-risk human papillomavirus in cervical squamous intraepithelial lesions.

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4.  Viral load of human papilloma virus 16 as a determinant for development of cervical carcinoma in situ: a nested case-control study.

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6.  A prospective study showing long-term infection with human papillomavirus 16 before the development of cervical carcinoma in situ.

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6.  Increase of integration events and infection loads of human papillomavirus type 52 with lesion severity from low-grade cervical lesion to invasive cancer.

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7.  Effect of cervical cytologic status on the association between human papillomavirus type 16 DNA load and the risk of cervical intraepithelial neoplasia grade 3.

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10.  Guidelines of the Italian Society for Virology on HPV testing and vaccination for cervical cancer prevention.

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