IJC International Journal of Cancer

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IJC International Journal of Cancer Human papillomavirus types in 115,789 HPV-positive women: A meta-analysis from cervical infection to cancer Peng Guan 1,2, Rebecca Howell-Jones 1,3,iLi 1,4, Laia Bruni 5, Silvia de Sanjose 5, Silvia Franceschi 1 and Gary M. Clifford 1 1 International Agency for Research on Cancer, Lyon, France 2 China Medical University, Shenyang, China 3 Health Protection Agency, London, United Kingdom 4 Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Beijing, China 5 Institut Catalan d Oncologia, Barcelona, Spain Genotyping may improve risk stratification of high-risk (HR) human papillomavirus (HPV)-positive women in cervical screening programs; however, prospective data comparing the natural history and carcinogenic potential of individual HR types remain limited. A meta-analysis of cross-sectional HR HPV-type distribution in 115,789 HPV-positive women was performed, including 33,154 normal cytology, 6,810 atypical squamous cells of undetermined significance (ASCUS), 13,480 low-grade squamous intraepithelial lesions (LSIL) and 6,616 high-grade SIL (HSIL) diagnosed cytologically, 8,106 cervical intraepithelial neoplasia grade 1 (CI1), 4,068 CI2 and 10,753 CI3 diagnosed histologically and 36,374 invasive cervical cancers (ICCs) from 423 PCR-based studies worldwide. o strong differences in HPV-type distribution were apparent between normal cytology, ASCUS, LSIL or CI1. However, HPV16 positivity increased steeply from normal/ascus/lsil/ci1 (20 28%), through CI2/HSIL (40/47%) to CI3/ICC (58/63%). HPV16, 18 and 45 accounted for a greater or equal proportion of HPV infections in ICC compared to normal cytology (ICC:normal ratios 5 3.07, 1.87 and 1.10, respectively) and to CI3 (ICC:CI3 ratios 5 1.08, 2.11 and 1.47, respectively). Other HR types accounted for important proportions of HPV-positive CI2 and CI3, but their contribution dropped in ICC, with ICC:normal ratios ranging from 0.94 for HPV33 down to 0.16 for HPV51. ICC:normal ratios were particularly high for HPV45 in Africa (1.85) and South/Central America (1.79) and for HPV58 in Eastern Asia (1.36). ASCUS and LSIL appear proxies of HPV infection rather than cancer precursors, and even CI3 is not entirely representative of the types causing ICC. HPV16 in particular, but also HPV18 and 45, warrant special attention in HPV-based screening programs. Thirteen human papillomavirus (HPV) genotypes have been judged to be carcinogenic or probably carcinogenic, 1 hereafter referred to as high-risk (HR) types, and are the cause of virtually all invasive cervical cancers (ICCs) worldwide. 2 This has led to the development of screening tests that detect HR types as a group, an approach which is more sensitive than cytology in primary screening and offers a longer negative predictive value for cervical intraepithelial neoplasia grade 3 (CI3) and cervical cancers. 3 8 evertheless, it is recognized that individual HR types differ enormously in their relative carcinogenic potential. 1 Thus, new screening tests are emerging to provide some degree of genotyping 8 11 with the aim to improve risk stratification among HPV-positive subjects and to allow adapted follow-up protocols. However, the use of distinguishing individual HPV types beyond HPV16 remains ill-defined due to the limited prospective evidence on cervical cancer risk for individual HR types, which, in addition, may vary by geographical region. Key words: human papillomavirus, cervical cancer, precancerous cervical lesions, genotype, epidemiology, meta-analysis Abbreviations: ADC: adeno/adenosquamous cell carcinoma; ASCUS: atypical squamous cells of undetermined significance; CI: cervical intraepithelial neoplasia; HPV: human papillomavirus; HR: high risk; HSIL: high-grade squamous intraepithelial lesions; ICC: invasive cervical cancers; LSIL: low-grade squamous intraepithelial lesions; SCC: squamous cell carcinoma Drs. Clifford, Franceschi, Guan, Howell-Jones and Li have no conflict of interest to declare. Drs. Bruni and de Sanjose were occasional recipients of travel grants from Sanofi and GSK, and Dr. de Sanjose also from Qiagen. Their unit has unrestricted grants from GSK, Merck and Sanofi. Grant sponsor: Bill and Melinda Gates Foundation; Grant number: 35537; Grant sponsors: International Agency for Research on Cancer; Fondation Innovations en Infectiologie (FIOVI); Department of Health, United Kingdom. DOI: 10.1002/ijc.27485 History: Received 6 Dec 2011; Accepted 27 Jan 2012; Online 9 Feb 2012 Correspondence to: Gary M. Clifford, International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon, Cedex 08, France, Tel.: +33-47-273-8425, Fax: þ33-47-273-8345, E-mail: clifford@iarc.fr

2350 HPV-type meta-analysis: from infection to cancer With the aim to improve our understanding of the complete carcinogenic process for individual HR types from infection to cervical cancer, we have performed a systematic literature review and meta-analysis of type distribution in more than 100,000 HPV-positive women across the full spectrum of cytopathological and histopathological cervical diagnoses from normal cytology to ICC. This builds on previous meta-analyses of type-specific HPV prevalence by specific cervical disease grade. 2,12 16 Material and Methods Methods have been previously reported for meta-analyses focusing on specific cervical lesion grades. 2,12 16 o metaanalysis including atypical squamous cells of undetermined significance (ASCUS) has previously been published. In brief, Medline was used to search for publications from January 1990 to ovember 2011 using combinations of the MeSH terms: cervical cancer, cervical intraepithelial neoplasia, human, female and polymerase chain reaction. References cited in retrieved articles were also evaluated. Eligible studies met the following criteria: (i) use of broad-spectrum consensus PCR assays based on the primers MY09/11, PGMY09/11, GP5þ/6þ, SPF10, SPF1/GP6þ or L1C1/L1C2, and (ii) reporting of overall and type-specific HPV prevalence by strata of cytopathological and/or histopathological cervical diagnoses (see definitions below). For each included study, the following data were extracted by cervical diagnosis: country, source of HPV DA (cells versus biopsies/tissue), PCR primers, sample size and overall and type-specific prevalence of HPV DA. Subjects were classified into seven geographical regions (Africa, Eastern Asia, Western/Central Asia, Europe, orth America, South/Central America and Oceania). If study methods suggested that additional relevant information was available (e.g., additional HPV types and/or more detailed stratification by cervical diagnosis), data requests were made to authors. For a subset of studies reporting such data, the overall prevalence of multiple infections (which may also include low-risk HPV types) was also extracted. Cases were classified into eight grades of cervical diagnosis: those diagnosed by cytology as (i) normal; (ii) ASCUS; (iii) low-grade squamous intraepithelial lesion (LSIL) or (iv) high-grade squamous intraepithelial lesion (HSIL); those diagnosed by histology as (v) CI1; (vi) CI2 or (vii) CI3 (including squamous carcinoma in situ) and those diagnosed as (viii) ICC, which refers to squamous cell carcinoma (SCC), adeno/adenosquamous carcinoma (ADC) or cervical cancer of other/unspecified histology. To retain appropriate sample size in each category, cervical diagnoses were further collapsed into four categories for comparisons by geographical region: (i) normal, including normal cytology only; (ii) low-grade, encompassing ASCUS, LSIL and CI1; (iii) high-grade, including HSIL, CI2 and CI3 and (iv) ICC. Overall HPV DA prevalence is reported as a percentage of all women tested by consensus PCR. Type-specific HPV positivity is presented as the proportion of HPV-positive cases in which the particular HPV type was detected, and for the 13 HR HPV types judged to be carcinogenic or probably carcinogenic (i.e., HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59 and 68) 1 in order of their frequency of detection in ICC. 2 This is somewhat different to most previous meta-analyses 2,12 16 that have focused on type-specific prevalence among all women tested for a given HPV type. Each HPV type was evaluated independently. Type-specific positivity was estimated only among those studies that both genotyped and reported the prevalence of the HPV type in question, and thus, denominators vary by type (Tables A1 and A2). Type-specific positivity includes that contributed by multiple HPV infections. Standard errors of type-specific positivity estimates were calculated assuming the nonindependence of cases within the same study using cluster-correlated robust variance estimates. 17 Type-specific positivity was compared between HPV-positive normal cytology and CI3 with that in HPV-positive ICC by ratios. ICC:CI3 ratios were also assessed separately by the source of HPV DA in CI3 (i.e., exfoliated cells versus biopsies/tissue). Results Four hundred and twenty-three studies met eligibility criteria, including a total of 369,186 eligible women. Their distribution by grade of cervical disease and geographical region is given in Table 1. Women with normal cytology contributed the greatest number of samples (n ¼ 266,611; 72%), followed by ICC (n ¼ 40,679; 11%). Women with ASCUS (4%), LSIL (5%), HSIL (2%), CI1 (3%), CI2 (1%) and CI3 (3%) each contributed smaller fractions. Within each cervical diagnosis grade, studies conducted in Europe contributed the largest sample, but Eastern Asia, orth America and South/Central America were also well represented. Western/Central Asia and Africa were poorly represented among all CI grades. o women with ASCUS diagnoses were available from Oceania. A total of 115,789 included women were HPV-positive. Overall HPV prevalence increased with increasing severity of cervical disease from 12% in normal cytology to 89% in ICC (Table 1). Figure 1 shows overall HPV prevalence by cervical disease grade and region. Among women with normal cytology, HPV prevalence varied substantially by region, ranging from 8 9% in Western/Central Asia and Europe to more than 20% in Africa, orth America, South/Central America and Oceania. Differences in HPV positivity by region were large for most cytological and histological categories. Overall HPV prevalence was only consistent (about 90%) for ICC across all regions (Table 1 and Fig. 1).

Guan et al. 2351 Table 1. Distribution of studies, women and human papillomavirus (HPV) DA prevalence by cervical disease grade and region ICC (studies ¼ 229) CI3 (studies ¼ 81) CI2 (studies ¼ 66) CI1 (studies ¼ 81) HSIL (studies ¼ 87) LSIL (studies ¼ 99) ASCUS (studies ¼ 66) ormal cytology (studies ¼ 147) Total (studies ¼ 423) 1 n 1 (%) n Africa (studies ¼ 35) 14,256 5,391 10,174 2,221 (22) 567 198 (35) 493 299 (61) 245 185 (76) 49 25 (51) 35 31 (89) 53 44 (83) 2,664 2,402 (90) 69,909 22,466 50,863 6,313 (12) 598 298 (50) 944 704 (75) 1,003 799 (80) 3,033 2,152 (71) 1,505 1,258 (84) 2,166 1,907 (88) 10,620 9,670 (91) Eastern Asia (studies ¼ 97) 14,834 3,369 11,959 977 (8) 300 120 (40) 127 102 (80) 68 49 (72) 36 15 (42) 19 15 (79) 19 15 (79) 2,306 2,076 (90) Western/Central Asia (studies ¼ 30) Europe (studies ¼ 144) 197,263 47,116 154,782 14,636 (9) 8,137 4,013 (49) 10,908 7,971 (73) 3,978 3,345 (84) 3,783 2,882 (76) 1,355 1,165 (86) 4,451 4,181 (94) 10,918 9,813 (90) 29,390 15,684 14,500 3,057 (21) 2,440 1,757 (72) 3,185 2,656 (83) 1,668 1,566 (94) 2,728 2,127 (78) 975 901 (92) 3,225 3,121 (97) 2,786 2,497 (90) orth America (studies ¼ 54) 35,895 16,277 22,062 5,201 (24) 941 424 (45) 1,909 1,550 (81) 734 626 (85) 1,180 718 (61) 513 405 (79) 1,061 900 (85) 7,532 6,488 (86) South/Central America (studies ¼ 69) Oceania (studies ¼ 9) 4,645 2,845 2,271 749 (33) 0 239 198 (83) 47 46 (98) 234 187 (80) 352 293 (83) 643 585 (91) 859 787 (92) Overall (studies ¼ 423) 369,186 115,789 266,611 33,154 (12) 12,983 6,810 (52) 17,805 13,480 (76) 7,743 6,616 (85) 11,043 8,106 (73) 4,754 4,068 (86) 11,618 10,753 (93) 40,679 36,374 (89) 1 For ICC, individual regions do not sum to the total due to a multinational study for which it was not possible to separate Eastern from Western/Central Asia ( ¼ 2,994). Abbreviations: ASCUS: atypical squamous cells of undetermined significance; LSIL: low-grade squamous intraepithelial lesion; HSIL: high-grade squamous intraepithelial lesion; CI: cervical intraepithelial neoplasia grade; ICC: invasive cervical cancer. Figure 1. Prevalence of human papillomavirus (HPV) DA by cervical disease grade and region. Abbreviations: ASCUS: atypical squamous cells of undetermined significance; LSIL: low-grade squamous intraepithelial lesion; HSIL: high-grade squamous intraepithelial lesion; CI: cervical intraepithelial neoplasia grade; ICC: invasive cervical cancer. The proportion of HPV-positive women in which HPV16, 18 and 45 were detected is shown by cervical disease grade in Figure 2. HPV16 was the most frequently detected HR type in every grade. HPV16 positivity varied little across normal cytology (20.4% 6 3.6%), ASCUS (22.9% 6 2.9%) and LSIL (25.1% 6 2.8%), but increased substantially in HSIL (47.5% 6 5.5%). HPV16 positivity in CI1 (27.6% 6 4.3%) was similar to that for LSIL, but increased through CI2 (39.8% 6 5.0%) and CI3 (58.2% 6 4.1%) to reach 62.6% 6 2.2% in ICC. HPV18 positivity varied very little between normal cytology and CI3 (7.4 10.0%), but increased to 15.7% 6 2.9% in ICC. HPV45 was the third most common type in ICC (5.3% 6 0.7%) and, as a proportion of HPV-positive women, varied very little in the entire range from normal cytology to ICC. HPV16, 18 and 45 were the only HR types found more frequently in ICC than normal cytology samples, with ICC:normal ratios of 3.07, 1.87 and 1.10, respectively (Fig. 2). They were also the only HPV types not to be less frequently detected in ICC than in CI3 (ICC:CI3 ratios of 1.08, 2.11 and 1.47, respectively). Figure 3a shows the positivity, as a proportion of HPVpositive samples, for the next five most frequent HR types in ICC, namely HPV31, 33, 35, 52 and 58, by cervical disease grade. ICC:normal ratios ranged from 0.94 for HPV33 down to 0.44 for HPV52. In addition, each of these types was (i) more frequent in HSIL and CI2 in comparison to normal cytology and (ii) less common in ICC compared to CI3 (ICC:CI3 ratios ranging from 0.49 for HPV33 and HPV58 down to 0.34 for HPV31).

2352 HPV-type meta-analysis: from infection to cancer Figure 2. Positivity (61.96 SE) for human papillomavirus (HPV) types 16, 18 and 45 as a proportion of HPV-positive samples by cervical disease grade. Abbreviations: ASCUS: atypical squamous cells of undetermined significance; LSIL: low-grade squamous intraepithelial lesion; HSIL: high-grade squamous intraepithelial lesion; CI: cervical intraepithelial neoplasia grade; ICC: invasive cervical cancer; SE: standard error, calculated as described in Material and Methods section. Figure 3b shows the positivity, as a proportion of HPVpositive samples, for the five least frequent HR types in ICC, namely HPV39, 51, 56, 59 and 68. Each of these types was less frequent in ICC than normal cytology, with ICC:normal ratios ranging from 0.41 for HPV59 down to 0.16 for HPV51. ICC:CI3 ratios ranged from 0.58 for HPV59 down to 0.20 for HPV51. HPV type-specific positivity is shown stratified by region in Figure 4, using four grades of cervical disease. The increase in HPV16 positivity with increasing lesion severity was similar in all regions, with ICC:normal ratios ranging from 2.33 in orth America to 4.07 in Africa. However, in each cervical disease grade, HPV16 positivity was highest in Western/Central Asia and lowest in Africa. The increase in HPV18 positivity between normal cytology and ICC was seen across all regions (ICC:normal ratios between 1.73 and 2.56), with the biggest increases being between high-grade disease and ICC. HPV45 showed ICC:normal ratios between 0.78 in Europe up to 1.79 and 1.85 in South/Central America and Africa, respectively. HPV45 positivity was low in every cervical disease grade in Eastern Asia. For HPV33, ICC:normal ratios varied by region, from 0.44 to 1.25. For HPV58, there was a particularly high positivity in Eastern Asia across all cervical disease grades and a relatively elevated ICC:normal ratio (1.36) that was not apparent in other regions (0.12 0.83). The relative decrease of HPV58 from high-grade disease to ICC was, however, consistent in Eastern Asia and elsewhere. For HPV31, ICC:normal ratios ranged between 0.32 and 1.06 by region. HPV52 positivity also varied considerably by region, with highest levels in Eastern Asia, but ICC:normal ratios were consistent (0.17 0.67). For HPV35, ICC:normal ratios varied by region (0.36 1.13), and positivity was highest in Africa, including in ICC (4.9% 6 1.8%). A subset of studies reported overall prevalence of multiple HPV infections (data not shown), which accounted for 31 41% of HPV infections in normal, ASCUS, LSIL and HSIL (among which HPV was almost entirely tested from cells) versus 12% in ICC (irrespective of whether HPV was tested from cells or biopsies/tissue). For CI1, CI2 and CI3, however, the proportion of multiple infections appeared higher when HPV was tested from cells (52, 51 and 32%, respectively) than from biopsies/tissue (21, 18 and 16%, respectively). Hence, ICC:CI3 ratios were calculated separately for CI3 tested from cells and biopsies/tissue (Table 2). This sensitivity analysis additionally excluded studies from Africa, Western/Central Asia and South/Central America as each contributed less than 100 HPV-positive CI3. ICC: CI3 ratios for most HR HPV types were materially unchanged, except for those of types in the alpha-7 species (HPV18, 45, 39 and 59), which were higher in the analysis including CI3 tested from biopsies/tissue than cells (Table 2). ICC:CI3 ratios from biopsies/tissue were also consistent when additionally restricted to SCC only (e.g., SCC:CI3 ratios ¼ 2.10 for HPV45 and 0.36 for HPV31). Discussion Our study is the first to analyze worldwide data on HPV types across the complete spectrum of cervical disease. The objective was to compare the cross-sectional distribution of HR HPV types as a proxy for their relative potential to cause ICC. For the most frequent HR types, we also compared type-distribution patterns across world regions. Although this approach cannot estimate absolute type-specific risks, it is nevertheless useful to identify variations in the importance of different HPV types by severity of lesions. Such information is of practical use for identifying types, or groups of types,

Guan et al. 2353 Figure 3. Positivity (61.96 SE) for human papillomavirus (HPV) types (a) 33, 58, 31, 52 and 35 and (b) HPV types 39, 59, 51, 56, 68 as a proportion of HPV-positive samples by cervical disease grade. Abbreviations: ASCUS: atypical squamous cells of undetermined significance; LSIL: low-grade squamous intraepithelial lesion; HSIL: high-grade squamous intraepithelial lesion; CI: cervical intraepithelial neoplasia grade; ICC: invasive cervical cancer; SE: standard error, calculated as described in Material and Methods section. that differ largely in their carcinogenic potential and could merit differential management in HPV-based screening programs. We judged the ratio of positivity in HPV-positive ICC to that in HPV-positive normal cytology to be particularly informative as (i) the available data cluster at these two extremes of the disease spectrum, and (ii) this measure captures the complete carcinogenic process and avoids variations due to different quality standards of cytology and histology for intermediate lesions. However, the ratio of positivity in HPV-positive ICC to that in HPV-positive CI3 is also helpful for interpreting how the results of screening and vaccination studies that rely on CI3 as the worst outcome are relevant to ICC prevention. The steady rise in HPV16 positivity through the classification of cervical disease from normal cytology to ICC in all world regions confirms results from cohort studies showing an increased long-term risk for CI3 18 21 and ICC 22 following infection with HPV16. Although there was regional heterogeneity in the fraction of lesions positive for HPV16, HPV16 nevertheless remains the cause of more than half of ICC in all world regions. HPV18 and HPV45 were also enriched, or similarly represented, in ICC compared to lower grades of diagnosis, suggesting a higher carcinogenic potential relative to all other non-hpv16 types. This corroborates the higher risk for developing CI3 reported for HPV18 in prospective studies. 19 21 However, the relative importance of HPV18 and HPV45 increased even more between CI3 and ICC, suggesting that studies using CI3 as the principal outcome underestimate the relative carcinogenic potential of HPV18

2354 HPV-type meta-analysis: from infection to cancer Figure 4. Positivity (61.96 SE) for human papillomavirus (HPV) types 16, 18, 45, 33, 58, 31, 52 and 35 as a proportion of HPV-positive samples by cervical disease grade* and region. *Low- and high-grade include diagnoses by cytology and/or histology (see Material and Methods section). Graphs are not shown for regions with less than 100 women in any cervical disease grade, namely Western/Central Asia. # Standard error not calculable for 20 high-grades tested for HPV52 (0 positive) in W/C Asia. Abbreviations: ICC: invasive cervical cancer; W/C Asia: Western/Central Asia; S/C America: South/Central America; SE: standard error, calculated as described in Material and Methods section. and 45 relative to other HR types. In addition, the closely related types HPV39 and HPV59 also showed some evidence of under-representation in CI3 compared to ICC in a sensitivity analysis restricted to CI3 tested for HPV from biopsies/tissue. Of note, HPV18, 45 and other types in the alpha- 7 species have a particular propensity for endocervical

Guan et al. 2355 Table 2. Positivity for high-risk human papillomavirus (HPV) types in HPV-positive invasive cervical cancer (ICC) and histologically confirmed cervical intraepithelial neoplasia 3 (CI3) by source of DA used for HPV testing (cells versus biopsies/tissue) 1 Cells CI3 ICC ICC:CI3 ratio Biopsies/tissue % positive % positive % positive CI3 CI3 HPV type (61.96 SE) (61.96 SE) (61.96 SE) cells biopsies/tissue HPV16 7,634 59.3 6 3.0 2,160 54.5 6 15.7 22,677 64.7 6 3.6 1.08 1.17 HPV18 7,595 7.8 6 1.3 2,115 4.9 6 1.6 22,725 16.5 6 2.9 2.13 3.39 HPV45 6,603 3.9 6 1.2 1,903 1.7 6 0.7 17,221 4.3 6 0.7 1.06 2.39 HPV33 7,388 9.0 6 1.1 2,015 11.0 6 3.2 20,203 5.1 6 1.3 0.55 0.45 HPV58 6,944 8.4 6 2.7 1,928 10.8 6 8.6 18,793 5.5 6 3.9 0.66 0.51 HPV31 7,388 12.1 6 1.8 2,039 10.7 6 3.1 19,595 3.5 6 0.6 0.30 0.34 HPV52 6,927 10.5 6 3.7 1,926 10.9 6 7.4 18,493 3.7 6 1.6 0.37 0.36 HPV35 6,758 3.6 6 1.4 1,929 3.1 6 1.0 17,357 1.2 6 0.4 0.37 0.43 HPV39 6,564 4.0 6 1.9 1,826 1.5 6 0.8 16,507 1.5 6 0.6 0.37 0.98 HPV59 6,564 2.7 6 1.3 1,690 0.8 6 1.0 17,171 1.3 6 0.5 0.52 1.67 HPV51 6,630 6.2 6 2.1 1,827 3.5 6 2.5 16,234 0.8 6 0.3 0.14 0.24 HPV56 6,800 2.9 6 1.3 1,827 1.5 6 0.8 15,986 0.9 6 0.3 0.30 0.56 HPV68 5,020 2.4 6 1.1 1,707 1.1 6 1.0 14,246 0.6 6 0.3 0.25 0.54 Multiple HPV 2 4,810 31.5 610.7 896 15.8 6 7.1 16,096 11.9 6 2.8 0.38 0.75 1 Studies from Africa, Western/Central Asia and South/Central America excluded due to inadequate numbers of CI3. 2 Overall prevalence of multiple infections was available only for a subset of studies and may include low-risk types. Abbreviation: SE: standard error, calculated as described in Material and Methods section. glandular lesions and cervical adenocarcinoma (ADC), 23 which are known to be less efficiently detected and prevented by cytological screening. 5,6,24 evertheless, ADC constituted less than 10% of all ICCs in the present analysis (and only 3% of African ICC, where the enrichment of HPV45 in ICC was the strongest) so that the ICC:normal ratios in this meta-analysis are driven by findings for SCC. HPV31, 33 and 58 have each been reported to confer higher absolute risks for CI3 than other non-hpv16 HR types. 19 22,25,26 This meta-analysis confirmed these findings, showing strong enrichment of these types between normal cytology and CI3, a pattern that was seen also for HPV52 and HPV35. However, the relative importance of these types dropped between CI3 and ICC, an effect that was robust in a sensitivity analysis restricted to CI3 with HPV tested from biopsies/tissue. This suggests that their relative carcinogenic potential in comparison to HPV16/18/45 might be overestimated based on CI3. Of note, the ICC:normal ratio for HPV33 was consistently higher than for other non- HPV16/18/45 types and was even slightly higher than HPV45 in some regions. The pattern for HPV58 was different in Eastern Asia than elsewhere. ot only was the HPV58 proportion consistently elevated across all cervical disease grades, accounting for 10.2% 6 3.9% of all HPV-positive ICC, but also the ICC:normal ratio was elevated in comparison to other regions. The ICC:CI3 ratio for HPV58, however, remained similar as for other regions. A recent prospective study in Taiwan suggested that the long-term risk for ICC was higher for HPV58 than other non-hpv16 types. 22 Conversely, HPV45 appeared to be relatively rare in Eastern Asian populations, but especially frequent in ICC in Africa (11.0% 6 2.2%). HR types found in <2% of ICC (HPV35, 39, 59, 51, 56 and 68) were present in an important proportion of lowand high-grade lesions; however, low ICC:normal ratios suggest that such types have relatively low carcinogenic potential. o clear difference was evident in HR-type distribution between HPV-positive normal cytology, ASCUS or LSIL (or even with CI1), most clearly seen in the lack of enrichment of HPV16. This suggests that the cytological diagnoses of ASCUS or LSIL have limited utility for risk-stratification of HPV-positive women and, together with CI1, are predominantly proxies for HPV infection rather than true cancer precursors. 27 Indeed, a diagnosis of ASCUS and/or LSIL has been shown to add little long-term risk stratification for CI3 in comparison to HR HPV testing. 6,19 The HPV-type distribution among CI2 was in between that of normal/ ASCUS/LSIL and ICC, with an important over-representation of non-16/18/45 HR types in comparison to ICC. This supports other findings that HPV16-positive CI2 is more likely to indicate a true precancerous state that non-hpv16-positive CI2. 27

2356 HPV-type meta-analysis: from infection to cancer The major strength of our present meta-analysis is the assessment of 369,186 women from all world regions of whom 31.4% were HPV-positive. The detailed stratification by cytological and histological diagnoses is also an innovative contribution to the knowledge of HPV natural history. Although the large numbers involved make random variations of little concern, they cannot, however, rule out systematic biases. General limitations associated with such cross-sectional meta-analyses include the variation in PCR-based HPV detection protocols, age ranges and quality of diagnosis and cervical screening practices across included countries and studies. All these potential problems are mitigated, however, by restriction of HPV type-specific comparisons to women testing HPV-positive with a limited number of broad-spectrum consensus PCR primers. Although differences in typespecific detection have been reported even for these primers and are also sensitive to post DA-amplification genotyping protocols, 28 adjustment of ICC:normal ratios for PCR primers did not materially affect main findings (data not shown). Lastly, because of the lack of individual-level data on the type-specific breakdown of multiple infections, type-specific estimates include types present in multiple HPV infections. However, this is not expected to systematically bias relative differences between HR HPV types in our current approach, as all types are treated equally. Indeed, on restriction to CI3 tested from biopsies/tissue only, which has the effect to reduce the prevalence of multiple infections and to increasingly focus on HPV types causally associated with the lesion, type-specific differences in ICC:CI3 ratios became even more pronounced, especially for alpha-7 species types. With respect to improving risk stratification among HPVpositive women, referring HPV16- and HPV18-positive women for special management will be promoted via the existence of clinical guidelines 29 and tests 8 10 relevant to such an algorithm. For a small increase in the number of women being referred, however, adding HPV45-positive women for special management 11,30 might also be justifiable in some settings. This is particularly true in Africa where HPV45 is particularly frequent in ICC and where the need to triage HR HPV-positive women is particularly acute given the high prevalence of HR HPV in the general female population. Indeed, in low-resource settings, a screen and treat approach based on rapid HPV testing (e.g., carehpv) 31 with triage of HPV16/18/45-positive women for immediate follow-up 11 might be an efficient use of limited resources. Referring additional HR types would result in incremental losses in positive predictive value, with perhaps the exception of HPV58 in Eastern Asia. Acknowledgements Peng Guan and i Li, while at the International Agency for Research on Cancer (IARC) (where the large majority of this work was performed), were both supported by the IARC International Postdoctoral Fellowships, and Rebecca Howell-Jones by a postdoctoral fellowship from Fondation Innovations en Infectiologie (FIOVI). Rebecca Howell-Jones, while at the Health Protection Agency, was also funded from the Department of Health, United Kingdom. The authors are grateful to Prof. Joakim Dillner for critical comments to the manuscript, and to Veronique Chabanis for technical assistance. They also thank those authors who made additional data available from their published studies. References 1. Bouvard V, Baan R, Straif K, Grosse Y, Secretan B, El Ghissassi F, Benbrahim-Tallaa L, Guha, Freeman C, Galichet L, Cogliano V. A review of human carcinogens, Part B: Biological agents. Lancet Oncol 2009;10:321 2. 2. Li, 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. 3. Bulkmans, Berkhof J, Rozendaal L, van Kemenade FJ, Boeke A, Bulk S, Voorhorst F, Verheijen R, van Groningen K, Boon M, Ruitinga W, van Ballegooijen M, et al. Human papillomavirus DA testing for the detection of cervical intraepithelial neoplasia grade 3 and cancer: 5-year follow-up of a randomised controlled implementation trial. Lancet 2007;370: 1764 72. 4. aucler P, Ryd W, Tornberg S, Strand A, Wadell G, Elfgren K, Radberg T, Strander B, Forslund O, Hansson BG, Hagmar B, Johansson B, et al. Efficacy of HPV DA testing with cytology triage and/or repeat HPV DA testing in primary cervical cancer screening. J atl Cancer Inst 2009; 101:88 99. 5. Ronco G, Giorgi-Rossi P, Carozzi F, Confortini M, Palma PD, Del Mistro A, Ghiringhello B, Girlando S, Gillio-Tos A, De Marco L, aldoni C, Pierotti P, et al. Efficacy of human papillomavirus testing for the detection of invasive cervical cancers and cervical intraepithelial neoplasia: a randomised controlled trial. Lancet Oncol 2010;11:249 57. 6. Katki HA, Kinney WK, Fetterman B, Lorey T, Poitras E, Cheung L, Demuth F, Schiffman M, Wacholder S, Castle PE. Cervical cancer risk for women undergoing concurrent testing for human papillomavirus and cervical cytology: a population-based study in routine clinical practice. Lancet Oncol 2011;12: 663 72. 7. Sankaranarayanan R, ene BM, Shastri SS, Jayant K, Muwonge R, Budukh AM, Hingmire S, Malvi SG, Thorat R, Kothari A, Chinoy R, Kelkar R, et al. HPV screening for cervical cancer in rural India. Engl J Med 2009;360: 1385 94. 8. Castle PE, Stoler MH, Wright TC Jr, Sharma A, Wright TL, Behrens CM. Performance of carcinogenic human papillomavirus (HPV) testing and HPV16 or HPV18 genotyping for cervical cancer screening of women aged 25 years and older: a subanalysis of the ATHEA study. Lancet Oncol 2011;12:880 90. 9. Einstein MH, Martens MG, Garcia FA, Ferris DG, Mitchell AL, Day SP, Olson MC. 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 22. 10. Carozzi FM, Burroni E, Bisanzi S, Puliti D, Confortini M, Giorgi RP, Sani C, Scalisi A, Chini F. Comparison of clinical performance of Abbott RealTime High Risk HPV test with that of hybrid capture 2 assay in a screening setting. J Clin Microbiol 2011;49: 1446 51. 11. Schweizer J, Lu PS, Mahoney CW, Berard- Bergery M, Ho M, Ramasamy V, Silver JE, Bisht A, Labiad Y, Peck RB, Lim J, Jeronimo J, et al. Feasibility study of a human papillomavirus E6 oncoprotein test for diagnosis of cervical precancer and cancer. J Clin Microbiol 2010;48: 4646 8. 12. Smith JS, Lindsay L, Hoots B, Keys J, Franceschi S, Winer R, Clifford GM. Human papillomavirus type distribution in invasive cervical cancer and high-grade cervical lesions: a meta-analysis update. Int J Cancer 2007;121:621 32.

Guan et al. 2357 13. Clifford GM, Smith JS, Plummer M, Mu~noz, Franceschi S. Human papillomavirus types in invasive cervical cancer worldwide: a metaanalysis. Br J Cancer 2003;88:63 73. 14. Clifford GM, Smith JS, Aguado T, Franceschi S. Comparison of HPV type distribution in highgrade cervical lesions and cervical cancer: a metaanalysis. Br J Cancer 2003;89:101 5. 15. Clifford GM, Rana RK, Franceschi S, Smith JS, Gough G, Pimenta JM. Human papillomavirus genotype distribution in low-grade cervical lesions: comparison by geographic region and with cervical cancer. Cancer Epidemiol Biomarkers Prev 2005;14:1157 64. 16. Bruni L, Diaz M, Castellsague X, Ferrer E, Bosch FX, de Sanjose S. Cervical human papillomavirus prevalence in 5 continents: meta-analysis of 1 million women with normal cytological findings. J Infect Dis 2010;202:1789 99. 17. Williams RL. A note on robust variance estimation for cluster-correlated data. Biometrics 2000;56:645 6. 18. Schiffman M, Herrero R, Desalle R, Hildesheim A, Wacholder S, Rodriguez AC, Bratti MC, Sherman ME, Morales J, Guillen D, Alfaro M, Hutchinson M, et al. The carcinogenicity of human papillomavirus types reflects viral evolution. Virology 2005; 337:76 84. 19. Schiffman M, Glass AG, Wentzensen, Rush BB, Castle PE, Scott DR, Buckland J, Sherman ME, Rydzak G, Kirk P, Lorincz AT, Wacholder S, et al. A long-term prospective study of typespecific human papillomavirus infection and risk of cervical neoplasia among 20,000 women in the Portland Kaiser Cohort Study. Cancer Epidemiol Biomarkers Prev 2011;20:1398 409. 20. Kjaer SK, Frederiksen K, Munk C, Iftner T. Long-term absolute risk of cervical intraepithelial neoplasia grade 3 or worse following human papillomavirus infection: role of persistence. J atl Cancer Inst 2010;102:1478 88. 21. aucler P, Ryd W, Tornberg S, Strand A, Wadell G, Hansson BG, Rylander E, Dillner J. HPV type-specific risks of high-grade CI during 4 years of follow-up: a populationbased prospective study. Br J Cancer 2007;97: 129 32. 22. Chen HC, Schiffman M, Lin CY, Pan MH, You SL, Chuang LC, Hsieh CY, Liaw KL, Hsing AW, Chen CJ. Persistence of type-specific human papillomavirus infection and increased long-term risk of cervical cancer. J atl Cancer Inst 2011; 103:1387 96. 23. Clifford G, Franceschi S. Members of the human papillomavirus type 18 family (alpha-7 species) share a common association with adenocarcinoma of the cervix. Int J Cancer 2008; 122:1684 5. 24. Ault KA, Joura EA, Kjaer SK, Iversen OE, Wheeler CM, Perez G, Brown DR, Koutsky LA, Garland SM, Olsson SE, Tang GW, Ferris DG, et al. Adenocarcinoma in situ and associated human papillomavirus type distribution observed in two clinical trials of a quadrivalent human papillomavirus vaccine. Int J Cancer 2011;128: 1344 53. 25. Matsumoto K, Oki A, Furuta R, Maeda H, Yasugi T, Takatsuka, Mitsuhashi A, Fujii T, Hirai Y, Iwasaka T, Yaegashi, Watanabe Y, et al. Predicting the progression of cervical precursor lesions by human papillomavirus genotyping: a prospective cohort study. Int J Cancer 2011;128: 2898 910. 26. Soderlund-Strand A, Eklund C, Kemetli L, Grillner L, Tornberg S, Dillner J, Dillner L. Genotyping of human papillomavirus in triaging of low-grade cervical cytology. Am J Obstet Gynecol 2011;205: 145.e1 145.e6. 27. Wang SS, Zuna RE, Wentzensen, Dunn ST, Sherman ME, Gold MA, Schiffman M, Wacholder S, Allen RA, Block I, Downing K, Jeronimo J, et al. Human papillomavirus cofactors by disease progression and human papillomavirus types in the study to understand cervical cancer early endpoints and determinants. Cancer Epidemiol Biomarkers Prev 2009;18: 113 20. 28. Klug SJ, Molijn A, Schopp B, Holz B, Iftner A, Quint W, Snijders JF, Petry KU, Kruger KS, Munk C, Iftner T. Comparison of the performance of different HPV genotyping methods for detecting genital HPV types. J Med Virol 2008;80:1264 74. 29. Wright TC Jr, Massad LS, Dunton CJ, Spitzer M, Wilkinson EJ, Solomon D. 2006 consensus guidelines for the management of women with abnormal cervical cancer screening tests. Am J Obstet Gynecol 2007;197:346 55. 30. Tjalma WA, Depuydt CE, Stoler MH, Wright TL. Don t forget HPV-45 in cervical cancer screening. Am J Clin Pathol 2012;137: 161 2. 31. Qiao YL, Sellors JW, Eder PS, Bao YP, Lim JM, Zhao FH, Weigl B, Zhang WH, Peck RB, Li L, Chen F, Pan QJ, et al. A new HPV- DA test for cervical-cancer screening in developing regions: a cross-sectional study of clinical accuracy in rural China. Lancet Oncol 2008;9:929 36. Appendices Table A1. umber of included HPV-positive women tested for () and positive for (n) individual HR HPV types by cervical disease grade ormal ASCUS LSIL HSIL CI1 CI2 CI3 ICC n n n n n n n n HPV16 33,154 6,767 6,810 1,562 13,480 3,387 6,616 3,142 8,106 2,235 4,068 1,621 10,753 6,259 36,284 22,721 HPV18 32,964 2,768 6,795 614 13,478 1,168 6,606 636 8,058 729 4,018 402 10,669 791 36,332 5,694 HPV45 30,359 1,462 5,819 338 11,466 492 5,093 230 5,984 251 3,721 186 9,348 337 30,089 1,593 HPV33 31,121 1,476 6,152 366 12,874 784 6,383 536 7,557 461 3,964 328 10,296 941 33,250 1,490 HPV58 30,961 1,959 5,955 463 11,596 824 5,290 417 6,167 594 3,802 460 9,635 869 31,589 1,391 HPV31 31,130 2,490 6,119 577 12,827 1,217 6,302 694 7,515 852 4,047 469 10,386 1,215 32,578 1,289 HPV52 29,660 2,386 5,538 559 10,460 849 4,664 446 5,982 826 3,814 627 9,652 987 31,091 1,100 HPV35 29,279 985 5,439 306 10,499 493 4,868 274 7,268 298 3,783 187 9,481 341 29,957 512 HPV39 29,260 1,521 5,601 430 10,455 706 4,552 189 5,781 395 3,618 196 9,105 299 28,662 409 HPV59 29,163 932 5,302 306 10,204 539 4,685 136 5,713 294 3,514 165 8,977 203 29,554 390 HPV51 28,259 1,994 5,692 501 10,110 1,190 4,799 321 5,887 636 3,658 355 9,195 509 28,773 325 HPV56 29,485 1,535 5,690 365 10,474 898 4,622 158 5,811 445 3,687 158 9,390 234 28,607 257 HPV68 28,192 869 5,004 171 9,512 257 4,231 85 5,836 191 3,448 100 7,406 149 26,110 161 Abbreviations: ASCUS: atypical squamous cells of undetermined significance; LSIL: low-grade squamous intraepithelial lesion; HSIL: high-grade squamous intraepithelial lesion; CI: cervical intraepithelial neoplasia grade; ICC: invasive cervical cancer.

2358 HPV-type meta-analysis: from infection to cancer Table A2. umber of included HPV-positive women tested for () and positive for (n) individual HR HPV types by cervical disease grade 1 and region ormal Low-grade High-grade ICC n n n n HPV16 Africa 2,221 290 517 87 251 76 2,402 1,275 Eastern Asia 6,313 1,071 2,790 588 3,693 1,401 9,670 5,968 Western/Central Asia 977 288 237 73 79 54 2,076 1,515 Europe 14,636 3,344 14,319 3,704 8,348 4,540 9,723 6,484 orth America 3,057 804 5,532 1,366 4,598 2,610 2,497 1,528 South/Central America 5,201 838 2,692 675 1,896 1,002 6,488 3,861 Oceania 749 132 385 95 924 498 787 493 HPV18 Africa 2,221 184 517 43 251 23 2,402 476 Eastern Asia 6,259 572 2,790 231 3,693 272 9,630 1,520 Western/Central Asia 950 60 237 16 79 5 2,076 313 Europe 14,636 1,286 14,256 1,297 8,214 634 9,811 1,609 orth America 2,958 281 5,532 524 4,598 441 2,497 489 South/Central America 5,191 323 2,690 184 1,886 178 6,488 825 Oceania 749 62 385 33 924 89 787 167 HPV45 Africa 1,972 117 432 19 245 10 2,402 264 Eastern Asia 5,858 157 2,549 30 3,148 64 6,751 202 Western/Central Asia 539 34 189 4 28 2 1,736 99 Europe 13,434 805 10,472 485 6,244 234 7,425 346 orth America 3,057 159 5,415 301 4,397 211 2,417 132 South/Central America 4,750 162 2,166 98 1,669 80 6,089 371 Oceania 749 28 385 25 924 39 628 33 HPV33 Africa 2,221 113 517 44 235 21 2,402 86 Eastern Asia 5,858 282 2,790 138 3,693 367 8,522 458 Western/Central Asia 568 23 210 15 31 3 1,843 93 Europe 13,842 726 13,186 875 7,844 735 8,652 447 orth America 3,003 83 5,317 225 4,598 351 2,439 83 South/Central America 4,880 220 2,517 189 1,776 115 6,161 221 Oceania 749 29 385 22 924 73 590 10 HPV58 Africa 2,221 238 517 56 251 28 2,221 29 Eastern Asia 6,259 472 2,781 376 3,647 715 8,767 897 Western/Central Asia 610 21 189 12 28 3 1,827 52 Europe 13,436 735 10,489 698 6,278 362 7,068 102 orth America 2,946 173 5,213 395 4,397 299 2,368 34 South/Central America 4,740 278 2,220 152 1,589 151 6,107 170 Oceania 749 42 385 35 924 54 590 5

Guan et al. 2359 Table A2. umber of included HPV-positive women tested for () and positive for (n) individual HR HPV types by cervical disease grade 1 and region (Continued) ormal Low-grade High-grade ICC n n n n HPV31 Africa 1,986 129 432 28 245 20 2,215 57 Eastern Asia 5,804 214 2,552 113 3,596 249 8,205 254 Western/Central Asia 620 37 229 10 63 15 1,970 81 Europe 13,877 1,586 13,166 1,647 7,930 980 8,319 347 orth America 3,057 186 5,532 490 4,598 600 2,481 91 South/Central America 5,037 282 2,504 130 1,837 194 6,157 365 Oceania 749 56 385 51 924 114 590 14 HPV52 Africa 1,986 170 432 51 245 27 2,221 76 Eastern Asia 6,259 679 2,624 478 3,469 740 8,532 520 Western/Central Asia 539 23 72 2 20 0 1,629 41 Europe 12,474 1,019 9,577 798 6,067 437 7,003 121 orth America 2,903 234 4,839 519 4,205 435 2,368 64 South/Central America 4,750 194 2,127 108 1,587 100 6,107 168 Oceania 749 67 385 44 924 113 590 9 HPV35 Africa 1,972 130 432 34 245 29 2,221 108 Eastern Asia 6,259 166 2,713 41 3,113 58 6,801 73 Western/Central Asia 487 22 185 8 26 1 1,763 36 Europe 12,264 476 9,922 479 6,015 194 7,578 105 orth America 3,057 92 5,443 354 4,598 299 2,388 36 South/Central America 4,491 76 2,202 52 1,598 81 5,975 114 Oceania 749 23 385 12 924 35 590 13 1 Low- and high-grade include diagnoses by cytology and/or histology (see Material and Methods section). Abbreviation: ICC: invasive cervical cancer.