Jack Cuzick’s research while affiliated with Queen Mary University of London and other places

Background Various studies have reported on the impact of human papillomavirus (HPV) vaccines. Here we present the largest population-based investigation of genotype-specific distributions over the decade following implementation of the 4-valent HPV vaccine (HPV6/11/16/18) in the United States. Methods Liquid-based cervical cytology samples from individuals aged 15-30 years undergoing cervical screening throughout New Mexico were tested by broad-spectrum HPV genotyping. Weighted relative differences in HPV type-specific prevalence (RDP) and 95% confidence intervals (95%CI) were calculated comparing individuals screened in 2007-2009 (n = 95,915) to those screened in 2013-2016 (n = 103,371). Weighted logistic regression was used to estimate relative risk of type-specific HPV infections. Tests of significance were 2-sided. Results Genotype-specific prevalence reduced significantly for HPV16 (RDP=-52.6%, 95%CI -56.9 to -48.3), HPV18 (RDP=-62.1%, 95%CI -68.5 to -55.8), HPV31 (RDP=-34.2%, 95%CI -42.1 to -26.3) and HPV33 (RDP=-31.8%, 95%CI -48.4 to -15.1). The RDP increased for other carcinogenic HPV types by 19.5% (95%CI +14.3 to + 24.6) when excluding HPV16/18. Large reductions in HPV6/11 RDP were observed but overall, non-carcinogenic, non-vaccine types increased. Comparing females born in 1996 to those born in 1989, risk of infection with HPV6/11/16/18 decreased by 80.0% among individuals aged 21-25 years. High-grade squamous intraepithelial lesions or worse (HSIL+) decreased by 49.4% when extending the evaluation from 2007 to 2018. Conclusion(s) HSIL+ incidence is decreasing with large reductions in the prevalence of 4-valent HPV vaccine types and non-vaccine types HPV31 and 33, reflecting vaccine cross-protection. Increases in non-vaccine HPVs may attenuate anticipated reductions in HPV-related abnormalities including cancers however the benefits of HPV vaccination remain substantial.

Obesity is a risk factor for postmenopausal breast cancer (BC), and evidence suggests a role for adiponectin in the relationship between obesity and BC. We investigated whether adiponectin or other biomarkers mediate the effect of body mass index (BMI) on postmenopausal BC risk in a cohort study nested in the IBIS-II Prevention Trial. We measured adiponectin, leptin, IGF-I, IGFBP-1, high-sensitivity C-reactive protein, glycemia, insulin, HOMA-IR index, and SHBG in baseline and 12-month serum samples from 123 cases and 302 matched controls in the placebo arm of the IBIS-II Prevention trial. We conducted the main mediation analysis considering baseline BMI as an exposure and the 12-month adiponectin increase as a mediator after adjustment for the Tyrer–Cuzick score and the lipid-lowering medications/supplements use. In the multivariable Cox model, both the 12-month adiponectin increase (HR, 0.60; 95%CI, 0.36–1.00) and BMI were associated with BC risk (HR, 1.05; 95%CI, 1.00–1.09), with a 40% reduction in women with a 12-month increase in adiponectin. A significantly higher cumulative hazard of BC events was observed in obese women (BMI > 30) with decreased adiponectin (p = 0.0087). No mediating effect of the adiponectin increase on the total effect of BMI on BC risk was observed (natural indirect effect: HR, 1.00; 95%CI, 0.98–1.02). Raising adiponectin levels might be an attractive target for postmenopausal BC prevention.

It is well known that serum levels of oestradiol and testosterone, esp free hormone levels, influence the risk of developing breast cancer in postmenopausal women (Thomas et al 1997, Hankinson et al 1998, Kaaks et al 2005, Tin Tin et al 2021). However very little is known about how these hormone levels influence the effectiveness of aromatase inhibitors. In the IBIS-II Prevention Trial we compared anastrozole to placebo in 3864 women at high risk of breast cancer (Cuzick et al 2020). Of these women 3644 (94.3%) had a baseline blood sample. In those with a valid blood sample, 72 in the anastrozole arm and 142 in the placebo arm developed breast cancer (including DCIS) after 12.9 years of follow up (OR = 0.49, 95% CI 0.37–0.66 P< 0.0001). For each case two controls were selected, matched on age, treatment arm and follow up longer than the matching case. In these women oestradiol (E2), testosterone (Testo) and SHBG were measured by liquid chromatography – tandem mass spectroscopy, and E2/SHBG and Testo/SHBG ratios were computed to approximate free hormone levels, and analysed in quartiles. Hormone replacement therapy was not allowed during the trial, and women with use within 3 months prior to entry or outlier hormone values were excluded from these analyses. In the placebo arm higher levels of both of these ratios were associated with a higher breast cancer rate (OR per quartile 1.25 (1.04-1.59), P=0.018) for E2/SHBG and (OR per quartile 1.22 (1.02-1.47), P = 0.032) for Testo/SHBG), whereas no significant effect was seen in the anastrozole arm (OR = 1.05 (0.81-1.37), and 1.16 (0.90-1.49), resp) (Table). Neither treatment interaction was significant. Absolute numbers of cases were similar between the anastrozole and placebo arms in the lowest quartile of E2/SHBG (18 anastrozole, 22 placebo), but higher numbers were seen in the placebo arm for the other quartiles. Similar results were seen for testo/SHBG, and supportive, but weaker results were seen for these two hormones without an SHBG adjustment, SHBG and BMI at entry. Adjusting for other risk factors had no influence on these findings. Effect sizes were similar during the 5 year treatment period and thereafter. There were too few ER negative cases to compare results by receptor status. Vasomotor side effects were higher with increasing E2/SHBG levels in both arms, but no other hormone showed an effect, and no hormone level was significantly associated with gynaecologic or musculoskeletal side effects. As aromatase inhibitors effectively eliminate the production of oestradiol in postmenopausal women, these results suggest they may be more effective in postmenopausal women with high oestradiol or testosterone levels, and raise questions about their value in women in the lower quartile of serum levels for these hormones for prevention and possibly adjuvant treatment. Table: Risk of breast cancer by quartiles of the oestradiol/SHBG in ratio high risk women treated with anastrozole or placebo. Citation Format: Jack Cuzick, Kim Chu, Brian Keevil, Antony Howell, Bernardo Bonanni, Evans Gareth, Kaija Holli, Sibylle Loibl, Nicholas Zdenkowski, Steven Cummings, Mitch Dowsett. Impact of Baseline Oestradiol and Testosterone on the Preventive Effect of Anastrozole [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS10-03.

Background: Since 2006 three studies, involving 289,089 adolescents, demonstrated a significant association (1.67(0.79-3.55),1.7(1.03-2.70),2.37(1.19-4.73)) between pubertal acne and poor outcome prostate cancer(PC) 30+ years later. This suggested Cutibacterium acnes, amicroaerophylic bacterium, might be contributing to PC bacterial dysbiosis analogous to the role of H. pylori in stomach cancer and explain why circumcision reduces PC risk. Six years ago, using MALDI-TOF, we demonstrated that the presence of seven obligate anaerobe species in addition to C. acnes were increased in PC and linked to increased PSA. This presentation studies stored samples from the PROVENT chemoprevention randomised PC active surveillance phase 2 trial analysed using 16S rDNA sequencing, and comparing obligate anaerobe frequency with those detected by culture and MALDI-TOF identification and their influence on PSA expression. Methods: 89 urines of PROVENT trial patients were studied using 16S rDNA sequencing and followed for 24 months. In addition, 39 previously reported MALDI-TOF screened cohort patients (21 PCs and 18 BPHs) followed for 43 months. The frequency of 7 obligate bacterial genera (Actinobaculum, Finegoldia, Prevotella, Peptoniphilus, Peptostreptococcus & Viellonella) was studied. Results: Twenty six of 89 (29%) PROVENT urine samples had a majority of bacteria detected as obligate anaerobes (mean=68%), while it was 12 of the 39 (31%) in PC tested in MALDI-TOF. In the combined series, those patients (n=38) with obligate anaerobes had mean PSA of 9.59 ug/L, while those without obligate anaerobes had a mean PSA of 6.29 ug/L (n=90), (t=-2.925, p = 0.0058). In the MALDI-TOF series, statistically increased urological intervention rate was associated with the presence of anaerobes (p=0.045, Fisher’s exact test). Discussion: These findings suggest that obligate anaerobe bacterial dysbiosis could be contributing to raised PSA through prostate cell damage, and possibly participating in the chronic inflammation and hypervascular changes that are seen in precancerous lesions. Checkpoint inhibitors have shown little benefit in prostate cancer. Recent reports from animal model studies of BCG resistance have suggested a short course combination of anti PDLI and anti NKG2a could break immune tolerance associated with expression of HLA-E and this approach could be of use to break tolerance to bacterial dysbiosis in the future. Citation Format: Tim Oliver, Belinda Nedjai, Emily Lane, Frank Chinegwundoh, Prabhakar Rajan, Jack Cuzick. Could immunotherapy offer potential in managing bacterial dysbiosis in prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6670.

Methylation markers have shown potential for triaging high‐risk HPV‐positive (hrHPV+) women to identify those at increased risk of invasive cervical cancer (ICC). Our aim was to assess the performance of the S5 DNA methylation classifier for predicting incident high‐grade cervical intraepithelial neoplasia (CIN) and ICC among hrHPV+ women in the ARTISTIC screening trial cohort. The S5 classifier, comprising target regions of tumour suppressor gene EPB41L3 and L1 and L2 regions of HPV16, HPV18, HPV31, and HPV33, was assayed by pyrosequencing in archived hrHPV+ liquid‐based samples from 343 women with high‐grade disease (139 CIN2, 186 CIN3, and 18 ICC) compared to 800 hrHPV+ controls. S5 DNA methylation correlated directly with increasing severity of disease and inversely with lead time to diagnosis. S5 could discriminate between hrHPV+ women who developed CIN3 or ICC and hrHPV+ controls (p <.0001) using samples taken on average 5 years before diagnosis. This relationship was independent of cytology at baseline. The S5 test showed much higher sensitivity than HPV16/18 genotyping for identifying prevalent CIN3 (93% vs. 61%, p = .01) but lower specificity (50% vs. 66%, p <.0001). The S5 classifier identified most women at high risk of developing precancer and missed very few prevalent advanced lesions thus appearing to be an objective test for triage of hrHPV+ women. The combination of methylation of host and HPV genes enables S5 to combine the predictive power of methylation with HPV genotyping to identify hrHPV‐positive women who are at highest risk of developing CIN3 and ICC in the future.

Background Uptake to anastrozole for breast cancer prevention is low, partly due to women’s concerns about side effects including gains in weight and specifically gains in body fat. Previous evidence does not link anastrozole with gains in weight, but there is a lack of data on any effects on body composition i.e. changes in fat and fat free mass. Here we assess association of anastrozole with body composition changes in a prospective sub-study from the second international breast intervention trial (IBIS-II). Methods Participants had DXA scans at baseline and for five years of anastrozole/placebo and beyond (between March 2004 and September 2017. Primary outcomes were changes in body weight, body fat and fat free mass at 9–18 months. A linear model was used to estimate the size of a differential effect in these outcomes by randomised treatment allocation adjusted for baseline value and time since last scan, age, 10-year breast cancer risk, smoking and HRT status. Results 203 postmenopausal women were recruited (n = 95 anastrozole, n = 108 placebo), mean age 58 years (SD = 5.4), BMI 28.0 kg/m² (SD = 5.5). There was no evidence of a strong association between anastrozole or placebo and endpoints at 9–18 months; effect size (95 %CI) for anastrozole minus placebo for body weight (per/kg) −0.11 (−1.29–1.08); body fat 0.11 (−0.75–0.96) and fat free mass −0.30 (−0.79–0.19). Conclusions There is unlikely to be a clinically significant change to body composition with anastrozole for breast cancer prevention.