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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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HPV genome expression at invasive cervical carcinomas infected by multiple HPV genotypes

Project description:Multiple HPV genotypes infection is frequently detected in HPV+ cervical lesions, however it is not well stablished how is the different viral interaction during the carcinogenic process. Here we carried out a comprehensive study to characterize the multiple HPV genome expression and integration by RNA-Seq analysis in 19 invasive cervical carcinomas with HPV coinfections. Analysis of tumoral DNA by a hybridization kit indicated multi-infection ranging from 2 to 6 different HPV genotypes, without a preferential species coinfection. The expression analysis showed that a single HPV genotype preferentially expressed its genome, might indicating a competition between the infecting virus. Finally, the search for HPV/human chimeric transcripts indicated integration from just one HPV in almost all samples, corroborating the expression findings.

2021-07-28 | GSE144293 | GEO

Identification and validation of a novel 3-gene methylation classifier for HPV-based cervical screening on self-samples

Project description:Background: Offering self-sampling of cervico-vaginal material for human papillomavirus (HPV) testing is an effective method to increase the coverage in cervical screening programmes. Molecular triage directly on HPV-positive self-samples for colposcopy referral opens the way to full molecular cervical screening. Here, we set out to identify a methylation classifier for detection of precancer (CIN3) or cancer, applicable to self-samples obtained by different devices. Findings: Genome-wide DNA methylation profiling of HPV-positive self-samples revealed 12 methylation targets for CIN3 detection. Multiplex quantitative methylation-specific PCR of these targets yielded a 3-gene methylation classifier (ASCL1, LHX8 and ST6GALNAC5), showing a very good clinical performance for CIN3 detection in both lavage (AUC=0.88; sensitivity=74%; specificity=79%) and brush (AUC=0.90; sensitivity=88%; specificity=81%) self-samples in the validation set. All self-samples from women with cervical cancer scored methylation-positive. Conclusion: By genome-wide DNA methylation profiling on self-samples, we identified a highly effective 3-gene methylation classifier for direct triage on self-samples from HPV-positive women.

2018-01-01 | GSE99511 | GEO

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2018-01-16 | E-MTAB-6361 | biostudies-arrayexpress

Protecting Young Special Risk Females From Cervical Cancer Through Human Papilloma Virus (HPV) Vaccination

Project description:A research project is currently being undertaken looking at Human Papilloma Virus (HPV) vaccination in special risk groups. It aims to see if young women with a chronic illness respond well to the HPV vaccine or whether they may require additional doses to ensure protective immunity. The four valent HPV vaccine protects against HPV types 16 & 18, cervical cancer and HPV types 6 & 11, anogenital warts. The six special risk groups include: Paediatric Rheumatological Disease Inflammatory Bowel Disease Acute Lymphoblastic Leukaemia Solid Organ Transplant Recipients (kidney and liver) Chronic Renal Disease Bone Marrow Transplants This immunity is measured by antibody levels of the HPV types, which requires a single blood test one month after the final dose of HPV vaccine. This is compared to healthy controls using antibody response to HPV vaccine. This will assess directly whether these special risk groups respond as well to the HPV vaccine.

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2007-05-15 | GSE6791 | GEO

Single Cell Dissection of Transcriptional Heterogeneity in HPV Positive and Negative Cervical Cancer

Project description:Here we performed single-cell RNA sequencing of more than 30,000 of cells from HPV16+ and HPV- cervical cancer patients. We comprehensively revealed the heterogeneity of both the malignant cell populations and immune lineages in HPV+ and HPV- CC, as well as the cellular crosstalks with potential relevance to tumor progression. Moreover, our results demonstrated that distinct interaction patterns in HPV+ and HPV- groups could mediate similar functions or pathways, and we further constructed a three-cell interaction resource.

2021-04-13 | GSE171894 | GEO

HPV

Project description:HPV

| PRJNA438969 | ENA

HPV

Project description:HPV

| PRJEB39426 | ENA

Genome-wide microRNA profiling of HPV-positive self-samples: Promising triage markers for early detection of cervical cancer

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.

2018-01-01 | GSE104758 | GEO

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2016-08-27 | GSE86100 | GEO

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