Abstract 3392: An evaluation of sleep and c-reactive protein in women with breast cancer by using the <i>All of Us</i> dataset

Abstract Background: Women who have breast cancer are likely to encounter sleep disturbances due to various reasons. Wellness is associated with the quality of sleep one receives, therefore the quality of sleep is associated with healing. Continuous sleep disturbances could eventually lead to a poorer quality of life. Therefore, we evaluated the noise level in one’s neighborhood, which could potentially cause sleep disturbances. The effects of the quality of sleep of women diagnosed with breast cancer could lead to disease progression, which may be determined by C-reactive protein, which measures internal inflammation that is associated with disease progression. Methods: According to the SDoH survey from the All of Us dataset, participants were divided into two cohorts, noisy and not noisy living environments. The two-sample t-test was used to compare the two cohorts and their average REM sleep level. We also tested the correlation between sleep length and c-reactive protein by using the All of Us database, based on Fisher's z-test. Both the t-test and Fisher z-test were analyzed via Jupyter notebook using Python coding. Results: Seventy-eight breast malignancy-diagnosed women met the inclusion criteria of the cohort to compare noise levels of their neighborhood, quality of sleep level, and the measurement of their c-reactive protein. Seventy-one of the seventy-eight women met the inclusion criteria by providing FitBit data from the noisy and not noisy groups relative to minutes of rem sleep levels. The average REM sleep was 88.12 and 74.86 minutes for noisy and not noisy neighborhoods, respectively. The data exhibited a statistically significant difference between noise levels and minutes of REM sleep levels: t=1.91 and p-value =0.04. There was also a negative correlation, correlation coefficient = -0.36 and p-value = 0.002, between minutes of rem sleep levels and c-reactive protein measures. Conclusion: It is well-established that quality sleep is essential for overall wellness. Data from participants in the All of Us Research Program with breast disease who live in noisy or not noisy neighborhoods demonstrated that increased REM sleep was correlated with lower c-reactive protein measures, which is associated with internal inflammation and potential disease progression. Taken together, patients who lived in neighborhoods that were noisy indicated a higher average of REM sleep, and the c-reactive protein measures were lower which may indicate that sleep is an important factor in recovery in breast cancer patients. While our outcomes are not as we predicted, it is important to know that the data were skewed, as the two cohorts were not evenly distributed. We will revisit the data once the additional participants are added to the dataset. Citation Format: Layja J. Grant, Ne'Kiya D. Jackson, Lauren K. Evans, KiTani Parker Lemieux. An evaluation of sleep and c-reactive protein in women with breast cancer by using the All of Us dataset [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3392.