ArticleCancer prevention research (Philadelphia, Pa.)2024
Differences in Serum miRNA Profiles by Race, Ethnicity, and Socioeconomic Status: Implications for Developing an Equitable Ovarian Cancer Screening Test.
Article in Cancer prevention research (Philadelphia, Pa.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 17 citations in OpenAlex.
- MiRNA based liquid biopsy for castration-resistant prostate cancer diagnostics.Molecular and cellular biochemistry · 2026Article
- A lasso-based model combining miRNA and clinical variables predicts future risk of breast and ovarian cancer.Scientific reports · 2026Article
- MicroRNAs modify relationships between hemoglobin A1c and race and ethnicity.Diabetes research and clinical practice · 2026Article
- Unlocking the power of non-coding RNAs: toward real-time cancer monitoring in precision oncology.Molecular cancer · 2026Review
- Considering microRNAs as measures of extrinsic domains of risk in the context of underlying genetic characteristics: type 2 diabetes as an exemplar.Frontiers in genetics · 2026Article
- Artificial intelligence-based miRNA analysis for precision oncology: diagnostic and prognostic insights.Frontiers in molecular biosciences · 2026Review
- Interplay Between MicroRNAs and Breast Cancer Therapies: Personalized Therapeutic Potential for HER2-Low Breast Cancer.Cancers · 2025Review
- Plasma extracellular vesicle-associated miR-512-3p modulates angiogenesis in pediatric Moyamoya disease by targeting ARHGEF3.Scientific reports · 2025Article
- Development of a microRNA-Based age estimation model using whole-blood microRNA expression profiling.Non-coding RNA research · 2025Article
- AAAGUGC Seed-Containing miRNAs: Master Regulators of Cancer Pathways and Therapeutic Resistance.MicroRNA (Shariqah, United Arab Emirates) · 2025Review
- Salivary miRNAs as a novel therapeutic marker in a patient with advanced oral squamous cell carcinoma: A case report.Oncology letters · 2025Article
- Serum miRNA improves the accuracy of a multivariate index assay for triage of an adnexal mass.Gynecologic oncology · 2024Article
- MicroRNA expression alteration in chronic thromboembolic pulmonary hypertension: A systematic review.Pulmonary circulation · 2024Article
- A Systematic Evidence-Based Review Regarding miRNA Polymorphisms in Recurrent Implantation Failure.Reproductive medicine and biologyReview
- MicroRNAs and Cancer Racial Disparities.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
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Authors and funding
16 authors at 7 institutions in 1 country.
Funding
Abstract
Serum miRNAs are promising biomarkers for several clinical conditions, including ovarian cancer. To inform equitable implementation of these tests, we investigated the effects of race, ethnicity, and socioeconomic status on serum miRNA profiles. Serum samples from a large institutional biobank were analyzed using a custom panel of 179 miRNA species highly expressed in human serum, measured using the Abcam Fireplex assay via flow cytometry. Data were log-transformed prior to analysis. Differences in miRNA by race and ethnicity were assessed using logistic regression. Pairwise t tests analyzed racial and ethnic differences among eight miRNAs previously associated with ovarian cancer risk. Pearson correlations determined the relationship between mean miRNA expression and the social deprivation index (SDI) for Massachusetts residents. Of 1,586 patients (76.9% white, non-Hispanic), compared with white, non-Hispanic patients, those from other racial and ethnic groups were younger (41.9 years ± 13.2 vs. 51.3 ± 15.1, P < 0.01) and had fewer comorbidities (3.5 comorbidities ± 2.7 vs. 4.6 ± 2.8, P < 0.01). On logistic regression, miRNAs predicted race and ethnicity at an AUC of 0.69 (95% confidence interval, 0.66-0.72), which remained consistent when stratified by most comorbidities. Among eight miRNAs previously associated with ovarian cancer risk, seven significantly varied by race and ethnicity (all P < 0.01). There were no significant differences in SDI for any of these eight miRNAs. miRNA expression is significantly influenced by race and ethnicity, which remained consistent after controlling for confounders. Understanding baseline differences in biomarker test characteristics prior to clinical implementation is essential to ensure instruments perform comparably across diverse populations. PREVENTION RELEVANCE: This study aimed to understand factors affecting miRNA expression, to ensure we create equitable screening tests for ovarian cancer that perform well in diverse populations. The goal is to ensure that we are detecting ovarian cancer cases earlier (secondary prevention) in women of all races, ethnic backgrounds, and socioeconomic means.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.