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Increasing Breast, Cervical, and Colorectal Cancer Screening and HPV Vaccination Among Underserved Texans

ABSTRACT: This study involves a partnership between UTHealth School of Public Health and the Texas 2-1-1 service, which is a helpline connecting low-income and minority callers with a number of needed services. The purpose of this study is to evaluate the effectiveness of a prevention program in which a phone navigator intervention designed to connect 2-1-1 helpline callers to evidence-based screening and prevention services including mammography, Pap test screening, colorectal cancer screening, and HPV vaccination.

DISEASE(S): Colorectal Neoplasms,Cancer Prevention

PROVIDER: 2358408 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:Offering self-sampling for HPV testing improves the effectiveness of current cervical screening programs. Molecular triage markers directly applicable on self-samples are needed to further stratify HPV-positive women at risk of cervical cancer (so-called triage) and to avoid over-referral and overtreatment. MicroRNAs (miRNAs) deregulation has been implicated in the development of cervical cancer, and represents a potential class of triage markers. However, it is unknown whether deregulated miRNA expression is reflected in self-samples. This study is the first to establish genome-wide miRNA profiles in HPV-positive self-samples to identify miRNAs that can predict the presence of CIN3 and cervical cancer in self-samples. Small RNA sequencing (sRNA-Seq) was conducted to determine genome-wide miRNA expression profiles in 73 HPV-positive self-samples of women with and without cervical precancer (CIN3). The optimal miRNA marker panel for CIN3 detection was determined by GRidge, a penalized method on logistic regression. Classification of sRNA-Seq data yielded a panel of 9 miRNAs with a combined Area Under the Curve (AUC) of 0.89 for CIN3 detection. Six out of nine miRNAs were validated by qPCR in 165 independent HPV-positive self-samples and resulted in a combined AUC of 0.72 for CIN3+ detection. This study shows that deregulated miRNA expression associated with CIN3 and cervical cancer development can be detected in HPV-positive self-samples using genome-wide miRNA profiling. Further validation by qPCR indicates that miRNA expression analysis offers a promising novel molecular triage strategy for CIN3 and cervical cancer detection applicable to self-samples.

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