Citations

Abstract Background The role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC. Methods LOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source. Results LOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes. Conclusions LOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.

AbstractBackgroundThe U.S. Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk (U.S. POINTER) is a 2‐year randomized controlled trial to evaluate the effect of lifestyle interventions in older adults (60‐79 years). The POINTER Imaging ancillary study is collecting Arterial Spin Labeling (ASL) MRI data to map cerebral blood flow (CBF) and evaluate the effect of interventions in the perfusion imaging biomarker. The optimization of timing parameters is essential for robust and efficient acquisition of ASL MRI.MethodA subset (n=83; F/M=51/32; age=69.0±5.5) of POINTER Imaging participants at two imaging sites underwent two ASL MRI scans during the same baseline session. Two 3D Pulsed ASL were obtained with TI1 of 790ms and TI2 values of 2000ms or 2750ms, which provide the delay times (between labeling and imaging) of 1210ms or 1960ms. ASL images were quantified into a physiological unit of CBF, ml/100g/min, using a single compartment kinetic model. CBF maps from two scans were normalized into a standard space and a voxel‐wise paired t‐test was performed after site variations were harmonized and covariates (age and sex) were adjusted. The age and sex effects in the difference of CBF values between two scans were also examined using linear regression. To control false positives, clusters smaller than 41ml were removed based on a simulation with α=0.05.ResultThe CBF values in ASL MRI rely on the timing of image acquisition: only a fraction of label bolus arrives in the tissue with a short delay while images suffer from low signal due to the magnetization decay with a long delay. Figure 1 shows the regions that require a long delay time (red) or a short delay (blue). The difference in CBF is proportional to arterial transit time (ATT) and the analysis shows females have shorter ATT mainly in the peri‐Sylvian region (Figure 2). No cluster survived correction in the analysis of the aging effect.ConclusionThe acquisition of two CBF maps not only offers optimization of acquisition timing but provides an additional perfusion parameter, arterial transit time, which may be a potential biomarker of cerebrovascular pathophysiology.

AbstractIntroductionThe Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to validate biomarkers for Alzheimer's disease (AD) clinical trials. To improve generalizability, ADNI4 aims to enroll 50‐60% of its new participants from underrepresented populations (URPs) using new biofluid and digital technologies. ADNI4 has received funding from the National Institute on Aging beginning September 2022.MethodsADNI4 will recruit URPs using community‐engaged approaches. An online portal will screen 20,000 participants, 4000 of whom (50‐60% URPs) will be tested for plasma biomarkers and APOE. From this, 500 new participants will undergo in‐clinic assessment joining 500 ADNI3 rollover participants. Remaining participants (∼3500) will undergo longitudinal plasma and digital cognitive testing. ADNI4 will add MRI sequences and new PET tracers. Project 1 will optimize biomarkers in AD clinical trials.Results and DiscussionADNI4 will improve generalizability of results, use remote digital and blood screening, and continue providing longitudinal clinical, biomarker, and autopsy data to investigators.

This cohort study examines factors that may contribute to whether patients address physicians differently through electronic messaging

97 Background: In order to maintain safety, clinical trial activities have been modified during the COVID-19 pandemic. As part of the TBCRC 057 survey, we assessed how pandemic-related modifications to trial activities affect breast cancer patients’ willingness to participate in clinical trials. Methods: US residents with breast cancer were eligible to complete the online survey 8/6/21 – 9/30/21. Respondents rated whether each of 11 modifications to clinical trial activities would affect their decision to participate in a trial during or after the pandemic. Items evaluated modifications that involved changing the location of trial activities to closer to home, switching trial activities to telemedicine and making the trial schedule more flexible and convenient. Response options were “much less likely to participate”, “somewhat less likely to participate”, “would not affect my decision whether or not to participate”, “somewhat more likely to participate” and “much more likely to participate”. Current trial participants were asked to consider how modifications would affect their decision to participate in another trial. Results are reported descriptively. Results: Among 385 respondents, median age was 52 (range 25-85), 88.6% were non-Hispanic White, 52.5% had metastatic disease, 93% were receiving active treatment, 48.6% received care at an academic center and 9.6% were current trial participants. Changing location of trial activities was viewed favorably, with 70.2%, 64.6% and 54.1% of respondents indicating they would be much or somewhat more likely to participate if they could complete trial blood tests, x-ray tests or doctor visits closer to home, respectively. Similarly, the option to complete trial activities electronically was viewed favorably, with 59.6%, 58.6% and 60.9% of respondents indicating they would be much or somewhat more likely to participate if they could complete trial doctor visits, consent and questionnaires via telemedicine, respectively. With regard to modifications to make the trial schedule more flexible and convenient, respondent feedback was also favorable. 71.4%, 67.7% and 82.4% of respondents indicated that requiring study site visits no more than once per 3 weeks, widening windows for trial activities and offering home delivery of oral study medications, respectively, would make them much or somewhat more likely to participate. Finally, 30.4% and 51.7% indicated that the flexibility to opt-out of research-only blood tests and biopsies, respectively, would make them much or somewhat more likely to participate. Conclusions: Patients view modifications to trial activities implemented during the pandemic favorably. Trials should be flexible and the option to conduct study activities close to home or electronically when possible should be maintained during the pandemic and beyond.