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Cervical cancer is the fourth most common cancer and fourth leading cause of cancer death among women worldwide. In low Human Development Index settings, it ranks second. Screening and surveillance involve the cytology-based Papanicolaou (Pap) test and testing for high-risk human papillomavirus (hrHPV). The Pap test has low sensitivity to detect precursor lesions, while a single hrHPV test cannot distinguish a persistent infection from one that the immune system will naturally clear. Furthermore, among women who are hrHPV-positive and progress to high-grade cervical lesions, testing cannot identify the ~20% who would progress to cancer if not treated. Thus, reliable detection and treatment of cancers and precancers requires routine screening followed by frequent surveillance among those with past abnormal or positive results. The consequence is overtreatment, with its associated risks and complications, in screened populations and an increased risk of cancer in under-screened populations. Methods to improve cervical cancer risk assessment, particularly assays to predict regression of precursor lesions or clearance of hrHPV infection, would benefit both populations. Here we show that women who have lower risk results on follow-up testing relative to index testing have evidence of enhanced T cell clonal expansion in the index cervical cytology sample compared to women who persist with higher risk results from index to follow-up. We further show that a machine learning classifier based on the index sample T cells predicts this transition to lower risk with 95% accuracy (19/20) by leave-one-out cross-validation. Using T cell receptor deep sequencing and machine learning, we identified a biophysicochemical motif in the complementarity-determining region 3 of T cell receptor β chains whose presence predicts this transition. While these results must still be tested on an independent cohort in a prospective study, they suggest that this approach could improve cervical cancer screening by helping distinguish women likely to spontaneously regress from those at elevated risk of progression to cancer. The advancement of such a strategy could reduce surveillance frequency and overtreatment in screened populations and improve the delivery of screening to under-screened populations., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Christley, Ostmeyer, Quirk, Zhang, Sirak, Giuliano, Zhang, Monson, Tiro, Lucas and Cowell.)

One in five U.S. women with health insurance are underscreened for cervical cancer. We sought to identify whether underscreening correlates differed among women with different levels of health care interaction. Among women age 30-64 years who were members of an integrated U.S. health system, we used 2014-2015 electronic health record data to identify underscreened cases (≥3.4 years since last Papanicolaou (Pap) test, n=3352) and screening-adherent controls (<3.4 years since last Pap test, n=45,359) and extracted data on potential underscreening correlates (demographics, health history, and healthcare utilization). We calculated the odds of underscreening in the total population and by subgroups defined by healthcare visits and online health portal usage in the prior 12 months. Underscreening was associated with older age (50-64 vs. 30-39; odds ratio (OR)=1.6; 95%CI=1.4-1.8), current tobacco use (vs. never use; OR=2.1; 95%CI=1.8-2.2), higher BMI (≥35 kg/m 2 vs <25 kg/m 2 , OR=2.0; 95%CI=1.8-2.3), screening non-adherence for colorectal cancer (OR=5.1; 95%CI=4.6-5.7) and breast cancer (OR=8.1, 95%CI=7.2-9.0), and having no recent visit with their primary care provider (PCP) nor recent health portal use (vs. recent PCP visit and portal use; OR=8.4, 95%CI=7.6-9.4). Underscreening correlates were similar between the total study population and within all healthcare interaction groups. Interaction with the healthcare system is associated with lower odds of underscreening, but sociodemographic and health status correlates are similar regardless of primary care visits or online portal use. These data support the need for additional interventions to reach insured women who remain underscreened for cervical cancer., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: Primary care providers and health systems have prominent roles in guiding effective cancer screening., Objective: To characterize variation in screening abnormality rates and timely initial follow-up for common cancer screening tests., Design: Population-based cohort undergoing screening in 2011, 2012, or 2013 at seven research centers comprising the National Cancer Institute-sponsored Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) consortium., Participants: Adults undergoing mammography with or without digital breast tomosynthesis (n = 97,683 ages 40-75 years), fecal occult blood or fecal immunochemical tests (n = 759,553 ages 50-75 years), or Papanicolaou with or without human papillomavirus tests (n = 167,330 ages 21-65 years)., Intervention: Breast, colorectal, or cervical cancer screening., Main Measures: Abnormality rates per 1000 screens; percentage with timely initial follow-up (within 90 days, except 9-month window for BI-RADS 3). Primary care clinic-level variation in percentage with screening abnormality and percentage with timely initial follow-up., Key Results: There were 10,248/97,683 (104.9 per 1000) abnormal breast cancer screens, 35,847/759,553 (47.2 per 1000) FOBT/FIT-positive colorectal cancer screens, and 13,266/167,330 (79.3 per 1000) abnormal cervical cancer screens. The percentage with timely follow-up was 93.2 to 96.7 % for breast centers, 46.8 to 68.7  % for colorectal centers, and 46.6 % for the cervical cancer screening center (low-grade squamous intraepithelial lesions or higher). The primary care clinic variation (25th to 75th percentile) was smaller for the percentage with an abnormal screen (breast, 8.5-10.3 %; colorectal, 3.0-4.8 %; cervical, 6.3-9.9 %) than for the percentage with follow-up within 90 days (breast, 90.2-95.8 %; colorectal, 43.4-52.0 %; cervical, 29.6-61.4 %)., Conclusions: Variation in both the rate of screening abnormalities and their initial follow-up was evident across organ sites and primary care clinics. This highlights an opportunity for improving the delivery of cancer screening through focused study of patient, provider, clinic, and health system characteristics associated with timely follow-up of screening abnormalities., Competing Interests: The authors declare no conflicts of interest. Funders This work was supported by the National Cancer Institute (NCI)-funded Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) consortium (grant numbers U01CA163304 to M.T., W.B.; U54CA163303 to D.L.W., B.S.; U54CA163307 to A.N.A.T., T.O., J.H.; U54CA163313 to K.A., M.S.; U54CA163308 to C.S.S., E.H.; U54CA163308-04S1 to C.S.S., J.A.T.; U54CA163261 to C.R.; U54CA163261-04S1 to J.C., A.K.; U54CA163262 to A.G.Z., D.C., C.D., T.L.; U54CA163262-04S1 to D.C., M.S.; and U54CA164336 to C.W.). The content of this manuscript is solely the responsibility of the authors and does not necessarily represent the official views of the Department of Veterans Affairs or the United States government.