Paolo Giorgi Rossi. Consensus Conference : Definzione del percorso di Screening del Cervico-Carcinoma nelle donne vaccinate contro l HPV

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(CIN3) and cancers due to HPV 16 and 18 in Italy: Estimating the number of non-preventable cancer in different scenarios of age for starting screening in vaccinated women Paolo Giorgi Rossi

Rationale Cervical cancer incidence in Italy below the age of 30 is quiet low: 1.8/100.000 (AIRTum data) Over 70% of cancers in Italy are due to HPV 16-18 (ICO 2015) In young women the proportion of HPV 16-18 cancer is higher than in the geeneral population: >80% (Carozzi 2010)

Rationale It is necessary to estimate the incidence of cancers in vaccinated women before the age of screening; We need to estimate the proportion of HPV16-18 cancers by age. There are evidences that the proportion of HPV16-18 is higher in young women (desanjose 2011; Giorgi Rossi 2012).

Age trend DeSanjosè Lancet oncol 2010, 2011

Trend by age: Italian studies Included studies: South: Carozzi 2010 IEO Milano: Sideri 2009 IFO Roma: Mariani 2010 Giorgi Rossi et al Infectious Agents and Cancer 2012

Method The incidence of non-preventable cancers is estimated on the basis: Pre-screening overall incidence: ITACAN (Airtum) all active registries active in 1990-98. % of non 16-18 cancers observed before screening program activation. As reference we adopted the incidence of cancer in the 90s in women <25 Relevant to establish if there is a calendar time trend in the HPV16-18 proportion.

Calendar time trend, Italy Giorgi Rossi et al Infectious Agents and Cancer 2012

Available data in Italy: ICO systematic review for Europe

No way to estimate HPV16-18 proportion by age and calendar time from published data. Finale Ligure: we dedided to make a pooled anlysis of existing studies starting from individual data ICO Dec 2014

Methods (2) Pooled analysis %HPV 16-18: We decided to work on cancers only since there are enough cases. Analysis of age trend Analysis of time trend Analysis of interaction of age and time trends by histology Statistical analysis: Models with age in classes and as continuous variable Observed proportion.

Available cases by laboratory Center CIN3 Squamous cell carcinoma Adeno and Anenosquamous cell carcinoma Other N % N % N % N % N % Laboratorio 1 Brescia 108 10.5 4 0.6 112 6.4 Laboratorio 2 HSR 9 1.4 4 4.3 13 0.7 Laboratorio 3 IEO 242 38.8 7 7.4 2 40 251 14.4 Laboratorio 4 IFO 106 17 17 18.1 3 60 126 7.2 Laboratorio 5 PD 29 4.7 3 3.2 32 1.8 VI 14 2.2 2 2.1 16 0.9 Laboratorio 6 Pavia 532 51.9 63 10.1 25 26.6 620 35.5 Laboratorio 7 Campania 37 3.6 46 7.4 83 4.7 Laboratorio 8 Lazio 111 10.8 47 7.5 22 23.4 180 10.3 Sardegna 40 3.9 2 0.3 3 3.2 45 2.6 Sicilia 9 0.9 5 0.8 14 0.8 Toscana 121 11.8 12 1.9 133 7.6 Abruzzo 67 6.5 45 7.2 11 11.7 123 7.0 ALL 1025 624 94 5 1748 Total

Agre trend confirmed <?24 25-34 35-44 45-54 55-64 65+ All ages Squamous cell carcinoma 16/18 (n) 1 51 129 101 78 79 439 % 100.0 91.1 75.4 70.1 72.9 68.7 73.9 16/18/45 (n) 1 52 141 111 81 84 470 % 100.0 92.9 82.5 77.1 75.7 73.0 79.1 Any type 1 56 171 144 107 115 594 Adeno and Anenosquamous cell carcinoma 16/18 (n) 0 13 17 13 12 9 64 % 0.0 92.9 68.0 65.0 75 64.3 71.1 16/18/45 (n) 1 13 17 14 13 12 70 % 100.0 92.9 68.0 70.0 81.2 85.7 77.8 Any type 1 14 25 20 16 14 90

Calendar time trend: not evident 1997-1999 2000-2002 2003-2005 2006-2008 2009-2011 2012-2013 All years Squamous cell carcinoma 16/18 (n) 48 91 180 95 16 10 440 % 70.6 70.0 74.7 81.9 66.7 58.8 73.8 16/18/45 (n) 52 95 199 98 18 10 472 % 76.5 73.1 82.6 84.5 75.0 58.8 79.2 Any type 68 130 241 116 24 17 596 Adeno and Anenosquamous cell carcinoma 16/18 (n) 4 8 21 20 5 6 64 % 66.7 57.1 77.8 71.4 62.5 85.7 71.1 16/18/45 (n) 4 10 23 22 5 6 70 % 66.7 71.4 85.2 78.6 62.5 85.7 77.8 Any type 6 14 27 28 8 7 90

Time trend based on screening program activation Calendar time for each case has been classified as pre- or post- screening activation according to the residence province (or region) and year: when >=50% of the target population has been invited for the first round of screening the area was considered as post-screening; when the program was not yet active or invited <50% the area was considere pre-screening (Zucchetto et al. Prev Med 2015) Age and preriod effect on HPV 16-18 proportion in cancers HPV types 16/18 OR 95%CI P-value Model 1 age 0.98 0.97 0.99 0.002 post vs pre screening org 1.53 0.95 2.44 0.078 Model 2 Age?29 < vs?35 > 2.57 0.71 9.31 0.149 30-34 vs?35 > 4.28 1.64 11.19 0.003 post vs pre screening org 1.54 0.96 2.47 0.071

Estimated proportions of HPV16-18 cancers by age class (pre/post-screening) 1.95.9.85 Pr(V1618).8.75.7.65.6.55.5 pre-screening post_screening <=29 30-34 =>35 Age Pre screening Post screening > <=29 30-34?35 0.85 0.90 0.69 (0.69 1.01) (0.81 0.98) (0.64 0.73) 0.90 0.93 0.77 (0.77 1.02) (0.87 0.99) (0.71 0.84)

Estimate of non-preventable cancers in the Italian population <15 15-19 20-24 25-29 30-34 incidenza 90-98 0 0,1000 0,4000 2,4000 6,6000 numero casi atteso senza vaccinazione 0 1,5012 6,4935 43,1292 140,2673 incidenza non-16-18 (tasso grezzo) 0 0,0100 0,0400 0,2400 0,6600 numero casi non 16-18 0 0,1501 0,6493 4,3129 14,0267 incidenza non-16-18 (modello età in continuo) 0 0,0190 0,0800 0,5040 1,5180 numero casi non 16-18 0 0,2852 1,2987 9,0571 32,2615 incidenza non-16-18 (modello età in classi) 0 0,0630 0,0240 0,2400 2,0460 numero casi non 16-18 0 0,9458 0,3896 4,3129 43,4829 Actual situation (no vaccination starting age 25): 8 cases per year Cases in vaccinated staring screening at 25: 0.8-1.6 cases per year Cases in vaccinated starting at 30: 5.1-10.5 cases per year Cases in vaccinated starting at 35: 19.1-42.8 cases per year

Conclusions Non preventable cancers according to the actual screening starting age (25) with the 1990-98 incidence were 8 per year. The number of non-preventable cancers in vaccinated women with starting age at 30 when projected to the Italian 2015 population would be from 5 to 10 cancers according to the estimate methods. NB: the model is strongly influenced by one cancer due to HPV 45 occurred in a 22 years old women.

Proposta del Comitato Tecnico C è un forte razionale per proporre l innalzamento dell età di inizio dello screening a 30 anni per le ragazze vaccinate naïve (vaccinate nel dodicesimo 2.1 There is a strong rational for proposing an increase in the starting age for screening to 30 for girls vaccinated in their twelfth year. [ ] anno). For girls vaccinated in their twelfth year (+/- 1 year), it accepts the proposal to increase the starting age for screening to 30, with full Responso della Giuria consent. Per le ragazze vaccinate nel dodicesimo anno di vita (+/- 1 anno), la Giuria accetta con consenso pieno la proposta di innalzamento dell età di inizio dello screening a 30 anni.

Grazie per l attenzione paolo.giorgirossi@ausl.re.it 20