Adenocarcinoma increase by Grainne Flannelly

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Incidence Trends of Adenocarcinoma of the Cervix in 13 European Countries Freddie Bray,1,2,3 Bendix Carstensen,5 Henrik Møller,3,4 Marco Zappa,6 Maja Primic Žakelj,7 Gill Lawrence,8 Matti Hakama,9,10 and Elisabete Weiderpass1,11 Cancer Registry of Norway, Oslo, Norway; 2IARC, Lyon, France; 3London School of Hygiene and Tropical Medicine; Thames Cancer Registry, King’s College London, London, United Kingdom; 5Steno Diabetes Center, Copenhagen, Denmark; 6Centro per lo Studio e la Prevenzione Oncologica, Florence, Italy; 7Cancer Registry of Slovenia, Ljubljana, Slovenia; 8West Midlands Cancer Intelligence Unit, Birmingham, United Kingdom; 9Finnish Cancer Registry, Helsinki, Finland; 10University of Tampere, Tampere, Finland; and 11 Karolinska Institutet, Stockholm, Sweden 1 4

Abstract Rapid increases in cervical adenocarcinoma incidence have been observed in Western countries in recent decades. Postulated explanations include an increasing specificity of subtype—the capability to diagnose the disease, an inability of cytologic screening to reduce adenocarcinoma, and heterogeneity in cofactors related to persistent human papillomavirus infection. This study examines the possible contribution of these factors in relation with trends observed in Europe. Age-period-cohort models were fitted to cervical adenocarcinoma incidence trends in women ages <75 in 13 European countries. Age-adjusted adenocarcinoma incidence rates increased throughout Europe, the rate of increase ranging from around 0.5% per annum in Denmark, Sweden, and Switzerland to z3% in Finland, Slovakia, and Slovenia. The increases first affected generations born in the early 1930s through the mid-1940s, with risk invariably higher in women born in the mid-1960s relative to those born 20 years

earlier. The magnitude of this risk ratio varied considerably from around 7 in Slovenia to almost unity in France. Declines in period-specific risk were observed in United Kingdom, Denmark, and Sweden, primarily among women ages >30. Whereas increasing specificity of subtype with time may be responsible for some of the increases in several countries, the changing distribution and prevalence of persistent infection with high-risk human papillomavirus types, alongside an inability to detect cervical adenocarcinoma within screening programs, would accord with the temporal profile observed in Europe. The homogeneity of trends in adenocarcinoma and squamous cell carcinoma in birth cohort is consistent with the notion that they share a similar etiology irrespective of the differential capability of screen detection. Screening may have had at least some impact in reducing cervical adenocarcinoma incidence in several countries during the 1990s. (Cancer Epidemiol Biomarkers Prev 2005;14(9):2191 – 9)

Introduction There is consensus that screening by conventional cytology within high-quality programs can reduce the incidence of invasive cervical cancer by >80% (1). Epidemiologic studies have shown that women with cancer of the cervix typically have been less adequately screened than corresponding women free of the disease (1-3). Where population-based screening has been routinely practiced, large declines in both cervical cancer incidence and mortality have been reported (4-8), with a result that it is now a relatively uncommon form of cancer (9). Numerous studies in the last two decades have, however, reported increasing rates of cervical adenocarcinomas relative to squamous cell carcinomas (10-25). Most studies have noted increasing rates of adenocarcinoma among younger women, particularly under the age of 40. Global estimates indicate that adenocarcinomas now comprise up to one quarter of cervical cancer cases in some Western countries (9). The differential in the temporal profile of the two main subtypes of invasive cervical cancer may reflect the relative inability of cytologic screening to reduce the rates of invasive

Received 4/4/05; revised 6/3/05; accepted 6/30/05. Grant support: This study was part of the Comprehensive Cancer Monitoring Programme in Europe (CaMon) project funded by the European Commission agreement no. Sl2.327599 (2001CVG3-512). The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. Requests for reprints: Freddie Bray, Institute of Population-Based Cancer Research, Cancer Registry of Norway, Montebello, N-0310 Oslo, Norway. Phone: 47-23-33-39-83. E-mail: freddie.bray@kreftregisteret.no Copyright D 2005 American Association for Cancer Research. doi:10.1158/1055-9965.EPI-05-0231

adenocarcinoma. Cytologic screening has been shown to effectively detect squamous cell carcinoma in early stages, whereas adenocarcinomas have been reported to be less detectable by screening (26-28). However, recent work by Mitchell and colleagues in Australia, investigating the efficacy of cytologic examinations in the 1990s, reported that screening has offered an increasing level of protection against adenocarcinoma (29), citing improved endocervical sampling and the recognition that adenocarcinoma in situ is the precursor to invasive adenocarcinoma as responsible (30). The changing prevalence of oncogenic types of human papillomavirus (HPV) may have contributed to the increase in adenocarcinoma. Persistent viral infection with the high-risk types of HPV is established as a necessary cause of both cervical cancer subtypes (31, 32). There may be also be some heterogeneity in the cofactors associated with the two histologic subtypes (33-40), such as smoking for which risk is elevated for squamous cell carcinoma but not for adenocarcinoma in several recent studies (36, 38, 40). This study examines secular trends in the incidence of adenocarcinoma of the cervix uteri in women ages <75 in 13 European countries using an age-period-cohort model. For each country, we evaluate the extent to which an increasing capability to diagnose the disease has affected the trends, and assess the evidence of changes in risk in successive generations and the impact of the diverse cytologic screening policies currently in place in Europe (41).

Materials and Methods We extracted registered cases of cervical cancer in women ages <75 and corresponding population-at-risk data from the

Cancer Epidemiol Biomarkers Prev 2005;14(9). September 2005

2192 Cervical Adenocarcinoma Incidence Trends in Europe EUROCIM database (42). To ensure consistently high-quality data over a sufficient length of time, the final data set was restricted to those cancer registries included in the last three volumes of Cancer Incidence in Five Continents (9, 43, 44). The time span of available registry data varied from 15 to 47 years among the 13 countries. In France, Spain, Italy, and Switzerland, a number of regional registries were aggregated to estimate national incidence trends. The varying intervals of years available for these registries led to a selection of registries and years to ensure that the same populations and years within one country were included where possible in building the final data set. Cervical adenocarcinoma was classified according to the IARC/WHO histologic groupings (45). Cancers of the cervix uteri with unspecified or ill-defined histology were not reallocated to specified histologic subtypes on the grounds that there was insufficient external information on which to base a rule for reallocation. In particular, the strong assumption that the unspecified group represent a random sample of those subjects with histology specified was not considered as justified. Statistical Analysis. According to the data resolution available in EUROCIM, each 5-year age-class and 1-year period, the number of events and person-years (D, Y), corresponded to 5 1 year subsets of a Lexis diagram. It is well known that under the assumption of a constant incidence rate k, the likelihood contribution from each subset is proportional to a likelihood for a Poisson observation D with mean kY. We therefore described the rates as a function of age, period, and cohort using a log-linear model, with Poisson errors and a logarithmic link function. For a given mean age a and mean date of diagnosis p (period), the mean date of birth (cohort) for those diagnosed (and for those at risk) is c = p a. The number of distinct values of a in the data set was 15, namely 2.5, 7.5,. . ., 72.5; the number of distinct values of p was 48, namely 1953.5, 1954.5,. . ., 2000.5; and, hence, the number of distinct values of c was 118, namely (1953.5 72.5 =) 1881, 1882, . . ., 1998 (= 2000.5 2.5). A simpler model for the rates is the age-drift model, where only one secular trend is included, and this only has a linear term (46): log ka;p ¼ fðaÞ þ cc The c (the drift parameter) from this model represents the (average) annual relative change in rates. This model was used to obtain country-specific drift estimates for the latest 15-year

period, where all registries have contributed data. It was reported as the annual percentage change [i.e., (exp(c) 1) 100]. For a more detailed description, we used an age-periodcohort model for the rates k (a, p): log ka;p ¼ fðaÞ þ gðpÞ þ hðcÞ with f, g, and h functions each parameterized with a limited number of parameters. This is a generalization of the classic model usually applied to more coarsely classified data, typically 5 5 age by period classes (46, 47). The parametric form for f, g, and h was taken as cubic splines, functions that are third-degree polynomials in each of a sequence of intervals defined by a set of points (knots). The parameters were constrained to have 0th, 1st, and 2nd derivatives identical at the knots. We used natural splines constrained to be linear beyond the outermost (boundary) knots using R (48). We chose the knots as points on the scales for age, period, and cohort that divided the number of recorded cases equally in the intervals between knots. In the age-period-cohort model, there is a well-known identification problem because c = p a, and, hence, two constants and a linear term can be moved between the three functions f, g, and h that still produce the same sum. To circumvent this problem, we first fitted an age-cohort model: log ka;c ¼ fðaÞ þ hðcÞ where h is chosen so that h(c 0) = 0 for a reference cohort c 0 (in this case, the 1945 cohort). This means that f(a) will correspond in this parameterization to log-incidence rates in the cohort c 0 and h(c) will be the rate-ratio of cohort c relative to cohort c 0. Subsequently, we fitted a period effect to the residuals by using a Poisson model for D, but with the log of the fitted values from the age-cohort model as offset. This gives period effects conditional on the estimated age and cohort effects. The fitted values from this approach will be very close to those obtained by maximum likelihood estimation in the full ageperiod-cohort model. In so doing, all secular trend is explicitly put in the cohort term in a well-defined way. Furthermore, the SE values of the estimated values of f, g, and h are easily derived. The resulting period-effect is in spirit (and in practice) very close to the ‘‘detrending’’ approach suggested by Holford (49). We present these age, period, and cohort effects together with their associated 95% confidence intervals for each of the 13 countries, and, where informative, the observed age-specific period and cohort trends in selected countries.

Table 1. Time trends in the crude rates (per 100,000 person-years) of cervical adenocarcinomas, combined categories of unspecified cervical carcinoma and cervical unspecified cancers, and cervical adenocarcinomas if all cervical cases unspecified were truly adenocarcinomas European area

Country

Cervical adenocarcinoma 1953-1957

Northern

Eastern Southern Western

Denmark Estonia Finland Norway Sweden United Kingdom Czech Republic Slovakia Italy Slovenia Spain France Switzerland

1.6 1.9

Un and

1963-1967

1973-1977

2.0 2.0 2.1

1.6 1.6 2.5 1.7 1.7 1.6

1983-1987

1993-1997

3.5 1.7 1.5 3.0 2.8 2.6 2.4 2.1 1.8 2.8 1.5 2.3 2.0

4.2 1.6 2.1 3.8 2.9 3.2 2.8 3.0 2.1 4.3 1.8 2.0 2.1

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4.3 3.3

Cancer Epidemiology, Biomarkers & Prevention 2193

Results Changing Rates of Adenocarcinoma Relative to Unspecified Carcinomas and Unspecified Cancers. The rates of adenocarcinoma have tended to increase in successive decades in most countries studied, although trends were rather stable in Estonia, France, and Sweden. In parallel, declines in the rates of unspecified cervical cancer and unspecified cervical carcinomas were observed, notably within the last two decades in Southern Europe but also in United Kingdom, Denmark, and France (Table 1). The historical data from Finland, Norway, and Sweden indicate that the rates of unknown histology were large, often exceeding those of adenocarcinoma from the 1950s and 1960s, but in the 1970s, unspecified histology rates were vastly reduced, remaining steady (and of a low order of magnitude) thereafter. High rates of unspecified cervical cancers/carcinomas were observed in Slovakia and United Kingdom in the mid-1970s, although this decreased rapidly with time in Slovakia; however, in United Kingdom, the unspecified rate was still among the highest (second only to Estonia) in the mid-1990s. Large declines in unspecified rates were also seen in Southern Europe, notably In Italy and Slovenia from the mid-1980s to the mid-1990s. Conversely, the rates of unspecified were stable and minor in Switzerland in the same time period. Geographic Variations in Age-Adjusted Rates 1993 to 1997. There was a 3-fold variation in the age-standardized rates of adenocarcinoma in the European populations (Table 2). Rates varied from relatively low (1.3-1.5 per 100,000) in Estonia, Spain, Italy, France, and Finland, through intermediate (1.9-2.2) in Sweden, Czech Republic, Slovakia, and United Kingdom. The highest rates were recorded in Norway (2.6), Denmark (2.8), and Slovenia (3.5). Regular Trend. Figure 1 and Table 2 present the estimated annual percentage change per year in the regular trend in each European country across the whole study period, and for the 15 most recent years available, based on the age-drift model. Only in France was a mean decline in the recent trend of adenocarcinoma observed, the annual change estimated at 1.1% per year between 1983 and 1997. The mean rates of increase during the most recent 15 years were rather modest (V0.5% per annum) in Denmark, Sweden, and Switzerland; they were more substantial in the majority of countries studied (Table 2). Increases ranged from around 1% to 2% in Estonia and Italy, to increases of 2.4% in United Kingdom and Spain, 2.8% in Finland, 3.4% in Slovakia, and 4.6% in Slovenia.

Figure 1. Drift estimates (and corresponding 95% confidence intervals) of cervical adenocarcinoma incidence over the most recent 15-year period available in 13 European countries in women aged <75, expressed as the mean annual percentage change. Where the span of data was limited or close to 15 years, recent trends were obviously of similar magnitude to the overall trend, although some discrepancies emerged in Northern Europe, where longer periods of data were available (Fig. 1). In Finland and Estonia, the modest overall declines contrasted with recent annual increases. In Norway, Sweden, and United Kingdom, the temporal changes were in opposite directions, with a reduction in the rate of increase observed during the most recent 15 years. Cohort Trends from the Age-Period-Cohort Models. Figure 3 shows the risk of cervical adenocarcinoma in each country according to age, birth cohort, and period of diagnosis. There were generation-specific increases in almost all European populations. The increases varied by country in terms of both

4.3 3.3

Cervical adenocarcinoma if all unspecified cervical carcinoma or unspecified cervical cancers were adenocarcinoma

1963-1967

1973-1977

7.3 2.0 2.6

4.8 0.9 1.2 0.6 5.8 6.1

1983-1987

1993-1997

2.1 2.3 0.4 0.4 0.5 4.0 2.3 1.3 2.1 3.0 2.7 1.4 0.2

0.6 2.2 0.3 0.6 0.7 1.7 1.5 1.2 1.1 1.1 0.8 0.7 0.2

1953-1957

5.9 5.1

1963-1967

1973-1977

9.3 4.0 4.7

6.5 2.5 3.7 2.3 7.5 7.7

1983-1987

1993-1997

5.6 4.0 1.9 3.4 3.3 6.5 4.7 3.4 3.9 5.8 4.2 3.7 2.2

4.8 3.8 2.4 4.4 3.6 4.9 4.3 4.1 3.2 5.4 2.6 2.7 2.3

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2194 Cervical Adenocarcinoma Incidence Trends in Europe Table 2. Trends in adenocarcinoma of the cervix: populations included in the analysis, recent age-standardized rates, the estimated percentage change in the regular trend, and model characteristics and characteristics of cohort trends by country European area

Country

Period (no. years)*

Annual no. casesc

Person-yearsc

ASR (0-74) 1993-1997 per 100,000c

Overall trend, b % (95% CI)

Recen %x (95

Northern

Denmark Estonia Finland Norway Sweden United Kingdom{ Czech Republic Slovakia Italy** Slovenia Spaincc bb France Switzerlandxx

1978-1998 1968-2000 1953-1999 1953-1997 1960-1998 1974-1997 1985-1999 1968-1997 1981-1997 1983-1999 1980-1997 1978-1997 1981-1997

73 10 39 55 82 591 104 53 37 36 20 27 22

2.4 0.7 2.4 2.0 4.0 25.1 5.0 2.6 2.1 1.0 1.5 1.9 1.3

2.8 1.3 1.5 2.6 1.9 2.2 2.0 2.1 1.4 3.5 1.3 1.4 1.5

0.7 0.6 0.2 2.1 1.6 3.2 1.7 2.0 1.5 4.4 1.9 0.5 1.4

0.4 ( 1.0 ( 2.6 1.1 ( 0.4 ( 2.4 1.7 3.4 1.6 ( 4.5 2.6 ( 1.1 0.4 (

Eastern Southern Western

(21) (33) (45) (45) (39) (24) (15) (30) (17) (17) (18) (20) (17)

( 0.2-1.5) ( 1.8-0.6) ( 0.6-0.2) (1.7-2.5) (1.3-2.0) (2.9-3.5) (0.5-2.9) (1.3-2.7) ( 0.7-3.8) (2.4-6.4) ( 0.6-4.5) ( 2.0-3.0) ( 3.0-0.2)

NOTE: Adapted from the European Cervical Cancer Screening Network questionnaire survey (see ref. 41). Abbreviations: 95% CI, 95% confidence interval; ASR, truncated age-standardized rate in women ages <75 (European standard) in most recent 5-year period. *Data available according to period of diagnosis. Numbers in parentheses represent number of years available in the analysis. cAverage annual number of cases per person-years (the latter expressed per 1 million) obtained from most recent 5-year period for women ages <75. bEstimated annual percentage change based on the trend parameter from the net drift for the whole study period. xEstimated annual percentage change based on the most recent 15-year period. kEstimated direction of recent trends by birth cohort (+: positive trend; 0: relatively stable trend or difficult to interpret). Time in parentheses is year of birth when change in direction of trend first noted (to the nearest 5 years); â&#x20AC;&#x201D;, change in trends is not apparent. {Aggregation of England, Scotland. **Aggregation of Florence, Varese province, Parma province, Ragusa province, Turin. ccAggregation of Catalonia, Tarragona; Granada, Murcia, Navarra, Zaragoza. bbAggregation of Bas-Rhin, Calvados, Doubs, Isere, Somme, Tarn. xxAggregation of Basel, Geneva, Neuchatel, St. Gall-Appenzell, Vaud, Zurich.

their magnitude and the time at which successive generations were first observed to be at increasingly higher risk of developing the disease. The starting point of the escalation varied from generations born in early-1930s through the mid1940s. The risk of adenocarcinoma was elevated in women born in the mid-1960s compared with those born in the mid1940s, although the magnitude of the increase varied considerably across countries. Assuming the observed data and model specification are correct, Slovenian women born around 1965 had seven to eight times higher risk of adenocarcinoma compared with those born two decades earlier. In contrast, in France, the relative rate in the later birth period was only f20% above that in women born around 1945 (Fig. 3). In Northern Europe (Fig. 3, 1-6), the increases were seen mainly in women born after around 1940, although the effect was possibly observed earlier in Norway (early-1930s) and later in Denmark (around 1950). The largest increase in risk among recent generations was seen in Estonia and Finland. A lesser degree of acceleration in risk was seen in Sweden than elsewhere in the region. Increases were observed in the Eastern European countries represented (Fig. 3, 7-8). There were also increases in risk of cervical adenocarcinoma in Southern Europe, although the changing rates of cervical cancers/carcinomas warrants a cautious interpretation. Among successive generations of Italian and Spanish women, increases from around 1940 were indicated (Fig. 3, 9-11). In Slovenia, consecutive cohorts born from around 1930 were affected, where the risk increased much more rapidly. In Western Europe (Fig. 3, 12-13), the cohort trends in Switzerland were rather flat up to around 1955, with increasing risk thereafter, although the rates are based on few cases. The generationspecific increases among French women (from around 1945) were minor compared with other European countries. Period-Specific Trends from the Age-Period-Cohort Models. Whereas the assumption of a period slope of zero precluded the possibility to assess the magnitude of trends on this time scale, curvature, in the form of accelerations or decelerations in period-specific risk, are identifiable and were

noted in some countries (Fig. 3). Declines in period-specific risk were most evident in United Kingdom, beginning around 1990 (Fig. 3, 6), although a decline in Denmark (Fig. 3, 1) around the same time was also suggested, and in Sweden (Fig. 3, 5), possibly slightly earlier, during the late-1980s. The age-specific trends in Fig. 2 indicate a stabilization or decline in rates in women ages >30 in Denmark, Sweden, and United Kingdom, and these seem more related more to period of diagnosis than birth cohort. Cohort-specific increases were observed in women ages <30 in Denmark and United Kingdom, corresponding to generations born from the mid1960s onward (Fig. 2). In contrast, the observed rates in Swedish women born after 1960 seem to consecutively decline, although, as a result of smoothing, the model parameters displayed in Fig. 3 do not exhibit such a trend.

Discussion This study examined temporal patterns of cervical adenocarcinoma incidence using good-quality data from populationbased cancer registries in 13 European countries. The interpretation of the trends are clearly complex in light of a number of plausible factors that may explain them. We assess below the relative contribution of diagnostic and coding artifacts, a changing distribution and prevalence of risk factors, and the impact of cytologic screening. The temporal patterns of cervical adenocarcinoma are then discussed in relation with those previously reported for squamous cell carcinoma (50). Are the Increases in Adenocarcinoma a Result of an Increasing Specificity of Cervical Cancer Histologic Subtypes Over Time? Increasing cervical adenocarcinoma rates could reflect an increasing ability to diagnose the disease over time. A recent study from England and Wales apportioned the unspecified cases to adenocarcinoma or squamous cell carcinoma according to their relative proportions by age and period of diagnosis (19). We did not take this approach,

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Cancer Epidemiology, Biomarkers & Prevention 2195 Table 2. Trends in adenocarcinoma of the cervix: populations included in the analysis, recent age-standardized rates, the estimated percentage change in the regular trend, and model characteristics and characteristics of cohort trends by country (Cont’d) Country

Recent trend, %x (95% CI)

Direction, year (cohort trend)k

Year of onset of organized screening program, type of screening system, area covered

Denmark Estonia Finland Norway Sweden United Kingdom{ Czech Republic Slovakia Italy** Slovenia Spaincc bb France Switzerlandxx

0.4 1.0 2.6 1.1 0.4 2.4 1.7 3.4 1.6 4.5 2.6 1.1 0.4

+ (1945) + (1935) + (1945) + (1930) + (—) + (1940) + (–) + (1935) + (1940) + (1940) + (1940) 0 (1945) 0 (1955)

1967 (achieved national coverage recently) No screening program 1963 (national coverage) 1995 pilot 1992 (program in one county 1959-1977) 1967-1973 in different counties, Gothenburg 1977 1988 (national coverage) Opportunistic since 1966 (screening in two districts, beginning 2004) — (intention to initiate program) Florence (1985), Parma (1998), Ragusa (no data), Turin (1992), Varese (no data) Opportunistic until 2003 Catalonia (opportunistic until 1993) Bas-Rhin (1994), Doubs (1993), Isére (1990) Opportunistic (no data)

( 0.7-1.6) ( 1.8-3.9) (1.0-4.3) ( 0.4-2.7) ( 0.6-1.5) (1.9-2.8) (0.5-3.0) (1.7-5.1) ( 0.8-4.0) (2.4-6.6) ( 0.2-5.4) ( 3.1-1.0) ( 2.2-3.1)

arguing that we did not have sufficient evidence to conclude that age and period-specific proportions of unspecified and specified cases were not in some way interrelated. As way of an example, in Finland, a sudden drop in the number of unspecified cases was observed in 1968, likely due to structural changes in the way pathology data was coded, with the quality of the data pre-1968 considered of relatively poor quality in general. The Finnish data is, therefore, regarded at its most reliable if only cases coded as adenocarcinoma are included, and more recent trends were the focus of evaluation. Our analysis adhered to this criterion for all 13 countries and the evaluation of recent trends was given priority. Caution in interpretation of the cervical adenocarcinoma trends must be exercised where the order of magnitude of both the absolute rates of unspecified cancers/carcinomas and their relative rate of increase are large compared with those of adenocarcinoma. Following the alternative scenario that all unknown cases were truly adenocarcinoma, the recent increases in adenocarcinoma rates in Denmark, Czech Republic, Italy, Slovenia, Spain, and United Kingdom could be explained by an increasing specificity in pathologic diagnosis of subtype with time. It is worth noting that the reallocation approach in the recent England and Wales study (19) yielded similar results to that of United Kingdom as reported in our study on the basis of the unadjusted data. An increasing specificity of subtype with time would explain at least part of the adenocarcinoma increase in Denmark. An earlier study reported proportional decreases in unspecified and unknown type, and increases in adenocarcinomas from the period 1943 to 1947 through 1978 to 1982. However, observed increases in adenocarcinoma rates among recent cohorts were also reported (51). Data and Modeling Considerations. Our main focus has been on the description of trends by birth cohort and identification of deviations by period of diagnosis. To achieve a unique solution from the infinite number possible (47), the period slope was constrained to zero and assumed to reflect the well-documented historical inability to screen for adenocarcinoma. Other solutions, such as fixing the age structure as was done previously for squamous cell carcinoma (50), were considered less reasonable for adenocarcinoma. There is little background knowledge regarding the latent age curve for adenocarcinoma, whereas it is possible that error may be introduced should segments of the age profile be overcompensated or undercompensated by an age-related misclassification of adenocarcinomas. In some countries, the trends are based on relatively few cases and have shorter follow-up time, reflecting the present

status of good-quality cancer registry data in Europe. Clearly, the description of the period and cohort-specific trends is open to less interpretation than for countries with long-standing registries with larger population coverage. Is the Increasing Risk in Recent Successive Generations Real? What Are the Causes? We observed recent statistically significant increases in cervical adenocarcinoma rates of at least z2% per annum in Finland, United Kingdom, Slovakia, and Slovenia. Positive but nonsignificant trends of a lesser magnitude were observed in most other countries. That cervical adenocarcinoma is increasing in recent years in Europe, particularly among young women, has been consistently reported in several countries (11, 14-20, 23, 25). This study establishes that the increases in incidence refer mainly to generations born since the epoch 1930 to 1945. The risk in cohorts born in the 1960s relative to the 1940s varied 7-fold, from high-incidence Slovenia to low-incidence France, where, uniquely, the risk seemed to be reasonably stable among recent generations. An international study of time trends of adenocarcinoma incidence 1973 to 1991 (15) described increasing risk in cohorts born after the mid-1930 in England, Scotland, Denmark, Sweden, Slovenia, and Slovakia. Our study replicated these findings, although having data spanning the 1990s, we reported also increases in Estonia, Spain, Finland, and Italy (starting in cohorts born between 1935 and 1945), countries previously reported to have either stable or decreasing trends by cohort. Our own findings for United Kingdom are replicated by studies in England and Wales reporting generational increases in adenocarcinoma (18, 19). The authors found risk to be f14 times greater in women born in the early 1960s relative to those born before 1935. Persistent infection with sexually transmitted high-risk HPV types is established as the necessary cause of cervical cancer (52) and its main histologic subtypes (53). The widespread increases in cervical adenocarcinoma in Europe among recently born cohorts reported in this study and others (15, 18, 19, 23, 25) suggest that an increasing number of women are becoming HPV carriers of high-risk HPV types in many European countries. These cohorts may be defined by generational changes in sexual behavior that increase the risk of HPV infection, among them younger age at first intercourse, increased number of sexual partners, and increasing risk that each sexual partner is HPV positive. Cofactors may modify the probability of HPV exposure and infection, and the residual effects of high parity, oral contraceptive use, and tobacco smoking on risk of cervical cancer have been reported in a number of epidemiologic studies (38, 39, 54-56). A recent meta-analysis of six case-control

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2196 Cervical Adenocarcinoma Incidence Trends in Europe

Figure 2. Observed cervical adenocarcinoma incidence trends in three countries where cytologic screening may have had a recent effect. Fiveyear age-specific rates are plotted against birth cohort and period of diagnosis for women ages 20 to 49, with the midpoint of age groups on the cohort scale labeled. studies indicated that adenocarcinoma and squamous cell carcinoma shared many risk factors, including the number of sexual partners, an early age of first intercourse, an early age of first birth, and the use of oral contraceptives (40). Whereas some heterogeneity in risk factors has been noted in a U.S. study (32, 34, 37), the only consistent finding across studies refers to smoking, which has been reported to moderately increase the risk of squamous cell carcinoma, but not adenocarcinoma (35, 38 â&#x20AC;&#x201C; 40). Adenocarcinoma is associated more with acquisition of HPV-18 than squamous cell carcinomas, which in turn is more linked to HPV-16 than adenocarcinoma (57, 58). The reasons for this specificity remain unidentified (53). The overall prevalence of high-risk HPV DNA has been found to be lower in adenocarcinoma than in squamous cell carcinoma in a number of studies (e.g., ref. 59), which may indicate a subset of women developed the disease through mechanisms unrelated to HPV infection, but artifactual explanations are possible and include the testing of inadequate samples, sampling errors of HPV detection in biopsies, and misclassification of adenocarcinomas of the endometrium as of the cervix (60). More recent studies are estimating the proportion of adenocarcinomas harboring high-risk HPV types to be close to 100% (1). There are a few studies reporting trends in HPV incidence or prevalence either overall or by subtype, and these have been cross-sectional in nature. Increases in the incidence and seroprevalence of HPV-16 have been reported in Finland in women in their 20s (61), whereas in Sweden the main increases in HPV-16 during the period 1969 and 1989 occurred during the 1970s and early-1980s in women ages <35 (62). It has been suggested that the lifetime number of sexual partners is the strongest marker for oncogenic HPV infection, whereas a history of condyloma is associated more with acquiring benign HPV types (63). It may be of utility from a public health perspective to examine the prevalence and distribution of HPV and its markers in birth cohorts to better understand the behavioral aspects that places women at a higher average risk of cervical cancer in certain countries relative to others. Has Cytologic Screening Had an Impact on Cervical Adenocarcinoma Trends? Whereas effective cytologic screening has led to declines in cervical squamous cell carcinoma incidence and mortality rates among targeted age groups over the same time period, the intervention has been considered less effective at reducing the incidence of cervical adenocarcinoma (64). Some authors have, however, suggested that screening may have been responsible in some reductions in adenocarcinoma during the 1990s (15, 29). Mitchell et al. (29) observed decreases among Australian women who had a pap smear with endocervical material within 1 year, or with an increasing number of pap smears with an endocervical component. One explanation for an increasing ability to detect endocervical lesions in cervical screening involves the im-

proved diagnostic yield via use of the extended tip spatula or the Cervex (endocervical) brush, or a combination of both (65), as well as an understanding and recognition of adenocarcinoma in situ (30). Nevertheless, in the province of Florence, Italy, the extended tip spatula has been in common use since the 1980s (66), and has had little impact on the increasing adenocarcinoma rates in women ages <55 (67), whereas in a case-control study within the same region, the use of the cytobrush did not seem to offer any significant protection from adenocarcinoma (28). Despite a focus on cohort trends, an advantage of Holfordâ&#x20AC;&#x2122;s approach to age-period-cohort modeling (49, 68) is that the period curvature is identifiable. The decelerations in periodspecific risk indicate an intervention that affects all age groups at the same time, and we observed declining adenocarcinoma incidence rates during the 1990s in Sweden, United Kingdom, and Denmark in women ages >35. Cytologic screening may thus be starting to have a protective impact on adenocarcinoma, as has been postulated recently by Mitchell et al. (29), and by Sasieni and Adams (69) on the basis of the observed incidence trends in England. A recent Swedish study described a lack of screening effect, citing uniform increases in period-specific risk from around 1975 to 1992 (16), although the risk was quite stable from 1983. In England and Wales, incidence has been reported to have possibly reached a peak in the late 1980s in women ages 25 to 39 (69). Our analysis concurs with theirs regarding the beneficial effects of screening in the last decade; although its effects seems restricted to women ages >30, there have been substantial increases in adenocarcinoma observed in younger women during the same period. How Do the Time Trends of Adenocarcinoma Compare with Those of Squamous Cell Carcinoma? Much of the literature in Western countries in the last two decades has described a phenomenon of increasing adenocarcinoma in the face of overall decreases in cervical cancer incidence (10-25). We found possible instances of a period-specific decreases in adenocarcinoma in this study in Denmark, United Kingdom, and Sweden, although any such screening effect is very recent. In comparative terms, large periodrelated declines were noted for squamous cell carcinoma in 8 of the same 13 countries in line with the initiation of organized screening programs (in the mid-1960s in Finland and Sweden), whereas opportunistic screening may have also played a role (50). A comparison of this study with a recent analysis of squamous cell carcinoma trends in the same countries (50), however, supports the idea of considerable homogeneity in the cohort-specific trends of each subtype in Europe. The cohortspecific increases in Italy, Spain, United Kingdom, Norway, Estonia, Slovakia, Finland, and Slovenia in adenocarcinoma described in this paper are in accordance with the temporal patterns conveyed for squamous cell carcinoma, with risk of

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Cancer Epidemiology, Biomarkers & Prevention 2197 both subtypes accelerating among consecutive generations born in the 1930s and 1940s. The rapid increases in the drift estimates of adenocarcinoma noted in Finland and Slovenia in recent years match well those observed for squamous cell carcinoma. The more moderate generational increases in adenocarcinoma in Czech Republic, Sweden, and Switzerland also largely parallel those of squamous cell carcinoma trends as does the noted absence of an increase in recent generations in France of either subtype. The cohort-specific trends are, however, difficult to fully interpret for countries where the span of available data is short. An increasing capability to correctly assign the histology of cervical cancer cases is unlikely to account for increases in squamous cell carcinoma, which still represent the vast majority of cervical malignancies (75-90%). That European women born in successive generations experienced an increasing risk of both major histologic forms of cervical cancer within

the same time window—during the 1930s and 1940s—points to a homogeneity in the risk factors chiefly responsible for the increases, presumably linked to sexual activity and risk of HPV infection. Prospects for Prevention of Adenocarcinoma. The increasing risk of adenocarcinoma in successive generations suggests a major role for an increasing prevalence of persistent oncogenic HPV infection and its cofactors, whereas the downturn in period effects in several countries during the 1990s provides at least some evidence that cytologic screening is detecting more preinvasive adenocarcinomas than in previous decades. HPV screening for high-risk HPV types—probably in combination with cytologic screening—may maximize the possibilities of having early lesions detected and treated. Recent trials evaluating the efficacy of virus-like particle vaccines in prevention of persistent infection with HPV-16 and HPV-18 in young women have been shown to be highly

Figure 3. Age, period, and cohort effects (and corresponding 95% confidence intervals) of cervical adenocarcinoma incidence in 13 European countries for women ages <75 by European region (Northern Europe, 1-6; Eastern Europe, 7-8; Southern Europe, 9-11; Western Europe, 12-13). The period effects are estimated as residual effects of period given the estimated age and cohort effects. The cohort effects are displayed for generations born up to 1975. Corresponding 95% confidence intervals are also displayed. Cancer Epidemiol Biomarkers Prev 2005;14(9). September 2005

2198 Cervical Adenocarcinoma Incidence Trends in Europe efficacious (70, 71). There is, therefore, some expectation that cervical cancer generally, and adenocarcinomas of the cervix in particular, may be preventable by HPV vaccination. However, we believe that improved screening will continue to play an essential role in preventing occurrences of, and deaths from, cervical cancer in the decades to come.

Acknowledgments We thank the following European cancer registries (Director in parentheses), which are participating investigators, for contributing their data as well as their expertise in commenting on the final manuscript: Czech Republic—Czech National Cancer Registry, Prague (Dr. Jana Ajmová); Denmark—Danish Cancer Society, Copenhagen (Dr. Hans H. Storm); Estonia—Estonian Cancer Registry, Tallinn (Dr. Tiiu Aareleid); Finland—Finnish Cancer Registry, Helsinki (Dr. Timo Hakulinen); France—Registre Bas Rhinois des Cancers, Strasbourg (Dr. Michel Velten), Registre Général des Tumeurs du Calvados, Caen (Dr. J. Macé-Lesech), Registre des Tumeurs du Doubs, Besançon (Dr. Arlette Danzon), Registre du Cancer de l’Isère, Meylan (Dr. François Ménégoz), Registre du Cancer de la Somme, Amiens (Mme Nicole Raverdy), Registre des Cancers du Tarn, Albi (Dr. Martine Sauvage); Ireland—National Cancer Registry, Cork (Dr. Harry Comber); Italy— Registro Tumori Toscano, Florence (Dr. Eugenio Paci), Registro Tumori Lombardia (Provincia di Varese), Milan (Dr. Paolo Crosignani), Registro Tumori della Provincia di Parma (Dr. Vincenzo De Lisi), Registro Tumori della Provincia di Ragusa, Ragusa (Dr. Rosario Tumino), Piedmont Cancer Registry, Turin (Dr. Roberto Zanetti); Norway—Cancer Registry of Norway, Oslo (Dr. Frøydis Langmark); Slovakia—National Cancer Registry of Slovak Republic, Bratislava (Dr. Ivan Plesko); Slovenia—Cancer Registry of Slovenia, Ljubljana (Dr. Maja Primic-Zakelj); Spain—Tarragona Cancer Registry, Reus (Dr. Jaume Galceran), Registro de Cáncer de Granada, Granada (Dr. Carmen Martı́nez Garcia), Registro de Cáncer de Murcia, Murcia (Dr. Carmen Navarro Sánchez), Registro de Cáncer de Navarra, Pamplona (Dr. E. Ardanaz Aicua), Zaragoza Cancer Registry, Zaragoza (Dr. Carmen Martos Jimenez); Sweden—Swedish Cancer Registry, Stockholm (Dr. Lotti Barlow); Switzerland—Krebsregister Basel-Stadt und Basel-Land, Basel (Dr. Gernot Jundt), Registre Genevois des Tumeurs, Geneva (Dr. Christine Bouchardy), Registre Neuchâtelois des Tumeurs, Neuchâtel (Dr. Fabio Levi), Krebsregister St Gallen Appenzell, St Gallen (Dr. Silvia Ess), Registre Vaudois des Tumeurs, Lausanne (Dr. Fabio Levi), Kantonalzürcherisches Krebsregister, Zürich (Dr. Nicole Probst); United Kingdom—National Cancer Intelligence Centre, London (Dr. Mike Quinn), Scottish Cancer Registry, Edinburgh (Dr. David Brewster).

References 1. 2. 3.

IARC. Cervix cancer screening. IARC handbooks of cancer prevention. Vol. 10. Lyon (France): IARC Press; 2004. Hakama M, Miller AB, Day NE. Screening for cancer of the uterine cervix. Vol 76. Lyon (France): IARC; 1986. Lynge E. Cohort studies in evaluation of cervical cancer screening. In: Sankila R, Demaret E, Hakama M, Lynge E, Schouten LJ, Parkin DM, editors. Evaluation and monitoring of screening programmes. Brussels (Belgium): European Commission; 2000. p. 119 – 31. Hakama M. Trends in the incidence of cervical cancer in the Nordic countries. In: Magnus K, editor. Trends in cancer incidence causes and practical implications. Oslo (Norway): The International Union Against Cancer and the Norwegian Cancer Society; 1982. p. 279 – 92. Laara E, Day NE, Hakama M. Trends in mortality from cervical cancer in the Nordic countries: association with organised screening programmes. Lancet 1987;1:1247 – 9. Anderson GH, Boyes DA, Benedet JL, et al. Organisation and results of the cervical cytology screening programme in British Columbia, 1955-85. Br Med J (Clin Res Ed) 1988 May 2;296:975 – 8. Macgregor JE, Campbell MK, Mann EM, Swanson KY. Screening for cervical intraepithelial neoplasia in north east Scotland shows fall in incidence and mortality from invasive cancer with concomitant rise in preinvasive disease. BMJ 1994 May 28;308:1407 – 11. Gustafsson L, Ponten J, Zack M, Adami HO. International incidence rates of invasive cervical cancer after introduction of cytological screening. Cancer Causes Control 1997 Sep;8:755 – 63. Parkin DM, Whelan SL, Ferlay J, Teppo L, Thomas DB. Cancer incidence in five continents. Vol. VIII. IARC scientific publications no. 155. Lyon (France): IARC Press; 2002.

10. Schwartz SM, Weiss NS. Increased incidence of adenocarcinoma of the cervix in young women in the United States. Am J Epidemiol 1986;124:1045 – 7. 11. Eide TJ. Cancer of the uterine cervix in Norway by histologic type, 1970-84. J Natl Cancer Inst 1987 Sep;79:199 – 205. 12. Devesa SS, Young JL, Brinton LA, Fraumeni JF. Recent trends in cervix uteri cancer. Cancer 1989;64:2184 – 90. 13. Kjaer SK, Brinton LA. Adenocarcinomas of the uterine cervix: the epidemiology of an increasing problem. Epidemiol Rev 1993;15:486 – 98. 14. Stockton D, Cooper P, Lonsdale RN. Changing incidence of invasive adenocarcinoma of the uterine cervix in East Anglia. J Med Screen 1997;4:40 – 3. 15. Vizcaino AP, Moreno V, Bosch FX, Munoz N, Barros-Dios XM, Parkin DM. International trends in the incidence of cervical cancer: I. Adenocarcinoma and adenosquamous cell carcinomas. Int J Cancer 1998 Feb 9;75:536 – 45. 16. Bergstrom R, Sparen P, Adami HO. Trends in cancer of the cervix uteri in Sweden following cytological screening. Br J Cancer 1999 Sep; 81:159 – 66. 17. Anttila A, Pukkala E, Soderman B, Kallio M, Nieminen P, Hakama M. Effect of organised screening on cervical cancer incidence and mortality in Finland, 1963-1995: recent increase in cervical cancer incidence. Int J Cancer 1999 Sep 24;83:59 – 65. 18. Sasieni P, Adams J. Effect of screening on cervical cancer mortality in England and Wales: analysis of trends with an age period cohort model. BMJ 1999 May 8;318:1244 – 5. 19. Sasieni P, Adams J. Analysis of cervical cancer mortality and incidence data from England and Wales: evidence of a beneficial effect of screening. J R Statist Soc [Ser A] 2000;163:191 – 209. 20. Alfsen GC, Thoresen SO, Kristensen GB, Skovlund E, Abeler VM. Histopathologic subtyping of cervical adenocarcinoma reveals increasing incidence rates of endometrioid tumors in all age groups: a population based study with review of all nonsquamous cervical carcinomas in Norway from 1966 to 1970, 1976 to 1980, and 1986 to 1990. Cancer 2000 Oct 15;89:1291 – 9. 21. Smith HO, Tiffany MF, Qualls CR, Key CR. The rising incidence of adenocarcinoma relative to squamous cell carcinoma of the uterine cervix in the United States—a 24-year population-based study. Gynecol Oncol 2000 Aug;78:97 – 105. 22. Liu S, Semenciw R, Probert A, Mao Y. Cervical cancer in Canada: changing patterns in incidence and mortality. Int J Gynecol Cancer 2001 Jan;11:24 – 31. 23. Hemminki K, Li X, Vaittinen P. Time trends in the incidence of cervical and other genital squamous cell carcinomas and adenocarcinomas in Sweden, 1958-1996. Eur J Obstet Gynecol Reprod Biol 2002;101:64 – 9. 24. Wang SS, Sherman ME, Hildesheim A, Lacey JV, Jr., Devesa S. Cervical adenocarcinoma and squamous cell carcinoma incidence trends among White women and black women in the United States for 1976-2000. Cancer 2004 Apr 1;100:1035 – 44. 25. Bulk S, Visser O, Rozendaal L, Verheijen RH, Meijer CJ. Cervical cancer in the Netherlands 1989-1998: decrease of squamous cell carcinoma in older women, increase of adenocarcinoma in younger women. Int J Cancer 2005;113(6):1005 – 9. 26. Mitchell H, Medley G, Gordon I, Giles G. Cervical cytology reported as negative and risk of adenocarcinoma of the cervix: no strong evidence of benefit. Br J Cancer 1995 Apr;71:894 – 7. 27. Sato S, Makino H, Yajima A, Fukao A. Cervical cancer screening in Japan. A case-control study. Acta Cytol 1997 Jul;41:1103 – 6. 28. Zappa M, Visioli CB, Ciatto S, Iossa A, Paci E, Sasieni P. Lower protection of cytological screening for adenocarcinomas and shorter protection for younger women: the results of a case-control study in Florence. Br J Cancer 2004 Jun 4;90:1784 – 6. 29. Mitchell H, Hocking J, Saville M. Improvement in protection against adenocarcinoma of the cervix resulting from participation in cervical screening. Cancer 2003 Dec 25;99:336 – 41. 30. Mitchell H, Hocking J, Saville M. Cervical cytology screening history of women diagnosed with adenocarcinoma in situ of the cervix: a case-control study. Acta Cytol 2004 Sep;48:595 – 600. 31. Bosch FX, De SanJose S. Chapter 1: human papillomavirus and cervical cancer—burden and assessment of causality. J Natl Cancer Inst Monogr 2003;3 – 13. 32. Altekruse SF, Lacey JV, Jr., Brinton LA, et al. Comparison of human papillomavirus genotypes, sexual, and reproductive risk factors of cervical adenocarcinoma and squamous cell carcinoma: Northeastern United States. Am J Obstet Gynecol 2003 Mar;188:657 – 63. 33. Lacey JV, Jr., Brinton LA, Abbas F, et al. Oral contraceptives as risk factors for cervical adenocarcinomas and squamous cell carcinomas. Cancer Epidemiol Biomarkers Prev 1999;8:1079 – 85. 34. Lacey JV, Jr., Brinton LA, Barnes WA, et al. Use of hormone replacement therapy and adenocarcinomas and squamous cell carcinomas of the uterine cervix. Gynecol Oncol 2000 Apr;77:149 – 54. 35. Lacey JV, Jr., Frisch M, Brinton LA, et al. Associations between smoking and adenocarcinomas and squamous cell carcinomas of the uterine cervix (United States). Cancer Causes Control 2001 Mar;12:153 – 61. 36. Green J, Berrington DG, Sweetland S, et al. Risk factors for adenocarcinoma and squamous cell carcinoma of the cervix in women aged 20-44 years: the UK National Case-Control Study of Cervical Cancer. Br J Cancer 2003 Dec 1; 89:2078 – 86.

Cancer Epidemiol Biomarkers Prev 2005;14(9). September 2005

Cancer Epidemiology, Biomarkers & Prevention 2199 37. Lacey JV, Jr., Swanson CA, Brinton LA, et al. Obesity as a potential risk factor for adenocarcinomas and squamous cell carcinomas of the uterine cervix. Cancer 2003 Sep 15;98:814 – 21. 38. Plummer M, Herrero R, Franceschi S, et al. Smoking and cervical cancer: pooled analysis of the IARC multi-centric case-control study. Cancer Causes Control 2003 Dec;14:805 – 14. 39. Smith JS, Green J, Berrington DG, et al. Cervical cancer and use of hormonal contraceptives: a systematic review. Lancet 2003 Apr 5;361:1159 – 67. 40. Berrington A, Sweetland S, Green J. Comparison of risk factors for squamous cell and adenocarcinomas of the cervix: a meta-analysis. Br J Cancer 2004;90:1787 – 91. 41. Anttila A, Ronco G, Clifford G, et al. Current cervical cancer screening programmes and policies in 18 European countries. Br J Cancer 2004;91:935 – 41. 42. European Network of Cancer Registries. EUROCIM Version 4.0. Lyon (France): International Agency for Research on Cancer. 2001. 43. Parkin DM, Muir CS, Whelan SL, Gao YT, Ferlay J, Powell J. Cancer incidence in five continents. Vol. 6. Lyon (France): IARC Press; 1992. 44. Parkin DM, Whelan SL, Ferlay J, Raymond L, Young J. Cancer incidence in five continents. Vol. 7. Lyon (France): IARC Press; 1997. 45. Tavassoli F, Devilee P. WHO classification of tumours. Pathology and genetics: tumours of the breast and genital organs. Lyon (France): IARC Press; 1998. 46. Clayton D, Schifflers E. Models for temporal variation in cancer rates. I: ageperiod and age-cohort models. Stat Med 1987;6:449 – 67. 47. Clayton D, Schifflers E. Models for temporal variation in cancer rates. II: ageperiod-cohort models. Stat Med 1987;6:469 – 81. 48. R Development Core Team (2005). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, http://www.R-project.org. 49. Holford TR. The estimation of age, period and cohort effects for vital rates. Biometrics 1983 Jun;39:311 – 24. 50. Bray F, Loos AH, McCarron P, et al. Trends in cervical squamous cell carcinoma incidence in 13 European countries: changing risk and the effects of screening. Cancer Epidemiol Biomarkers Prev 2005;14:677 – 86. 51. Lynge E, Storm HH. [Cervix cancer and cervical prenecroses in Denmark 1943-1982. Cancer statistics no. 12] [Article in Danish]. Ugeskr Laeger 1984 Nov 5;146:3483 – 7. 52. Walboomers JM, Jacobs MV, Manos MM, et al. Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol 1999 Sep;189:12 – 9. 53. Bosch FX, Lorincz A, Munoz N, Meijer CJ, Shah KV. The causal relation between human papillomavirus and cervical cancer. J Clin Pathol 2002 Apr; 55:244 – 65. 54. Palefsky JM, Holly EA. Molecular virology and epidemiology of human papillomavirus and cervical cancer. Cancer Epidemiol Biomarkers Prev 1995 Jun;4:415 – 28. 55. Schiffman MH, Brinton LA. The epidemiology of cervical carcinogenesis. Cancer (Suppl) 1995;76:1888 – 901.

56. Stuver S, Adami H-O. Cervical cancer. In: Adami H-O, Hunter D, Trichopolous D, editors. Textbook of cancer epidemiology. Oxford: Oxford University Press; 2002. p. 340 – 58. 57. Bosch FX, Manos MM, Munoz N, et al. Prevalence of human papillomavirus in cervical cancer: a worldwide perspective. International Biological Study on Cervical Cancer (IBSCC) Study Group. J Natl Cancer Inst 1995 Jun 7; 87:796 – 802. 58. Schiffman MH, Castle P. Epidemiologic studies of a necessary causal risk factor: human papillomavirus infection and cervical neoplasia. J Natl Cancer Inst 2003 Mar 19;95:E2. 59. Andersson S, Rylander E, Larsson B, Strand A, Silfversvard C, Wilander E. The role of human papillomavirus in cervical adenocarcinoma carcinogenesis. Eur J Cancer 2001 Jan;37:246 – 50. 60. Zielinski GD, Snijders PJ, Rozendaal L, et al. The presence of high-risk HPV combined with specific p53 and p16INK4a expression patterns points to high-risk HPV as the main causative agent for adenocarcinoma in situ and adenocarcinoma of the cervix. J Pathol 2003 Dec;201: 535 – 43. 61. Laukkanen P, Koskela P, Pukkala E, et al. Time trends in incidence and prevalence of human papillomavirus type 6, 11 and 16 infections in Finland. J Gen Virol 2003 Aug;84:2105 – 9. 62. af Geijersstam V, Kibur M, Wang Z, et al. Stability over time of serum antibody levels to human papillomavirus type 16. J Infect Dis 1998 Jun;177: 1710 – 4. 63. Silins I, Kallings I, Dillner J. Correlates of the spread of human papillomavirus infection. Cancer Epidemiol Biomarkers Prev 2000 Sep;9: 953 – 9. 64. Beral V, Hermon C, Munoz N, Devesa SS. Cervical cancer. Cancer Surv 1994; 19/20:265 – 85. 65. Buntinx F, Brouwers M. Relation between sampling device and detection of abnormality in cervical smears: a meta-analysis of randomised and quasirandomised studies. BMJ 1996 Nov 23;313:1285 – 90. 66. Cecchini S, Grazzini G, Iossa A, Bartoli D, Ciatto S. Criteria for adequacy of cervical cytologic sampling. Acta Cytol 1989 Sep;33:687. 67. Visioli CB, Zappa M, Ciatto S, Iossa A, Crocetti E. Increasing trends of cervical adenocarcinoma incidence in Central Italy despite Extensive Screening Programme, 1985-2000. Cancer Detect Prev 2004;28:461 – 4. 68. Holford TR. Understanding the effects of age, period, and cohort on incidence and mortality rates. Annu Rev Public Health 1991;12:425 – 57. 69. Sasieni P, Adams J. Changing rates of adenocarcinoma and adenosquamous carcinoma of the cervix in England. Lancet 2001 May 12;357:1490 – 3. 70. Harper DM, Franco EL, Wheeler C, et al. Efficacy of a bivalent L1 virus-like particle vaccine in prevention of infection with human papillomavirus types 16 and 18 in young women: a randomised controlled trial. Lancet 2004 Nov 13;364:1757 – 65. 71. Koutsky LA, Ault KA, Wheeler CM, et al. A controlled trial of a human papillomavirus type 16 vaccine. N Engl J Med 2002 Nov 21;347:1645 – 51.

Cancer Epidemiol Biomarkers Prev 2005;14(9). September 2005

Incidence Trends of Adenocarcinoma of the Cervix in 13 European Countries Freddie Bray, Bendix Carstensen, Henrik MĂ¸ller, et al. Cancer Epidemiol Biomarkers Prev 2005;14:2191-2199.

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