The Microbiome as a risk factor for hr-HPV persistence and Cervical Cancer

微生物组是 hr-HPV 持续存在和宫颈癌的危险因素

• 批准号: 10707134
• 负责人: FILIPA GODOY-VITORINO
• 金额: $ 25.82万
• 依托单位: UNIVERSITY OF PUERTO RICO MED SCIENCES
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10707134
• 关键词: Address; Affect; Age; Algorithms; Atopobium vaginae; Bacteria; Bioinformatics; Biopsy; Caribbean region; Cervical; Cervical dysplasia; Clinical; Cohort Studies; Communities; Cross-Sectional Studies; Cytology; Data; Development; Disease; Disease Progression; Dysplasia; Environment; Etiology; Female; Foundations; Gardnerella vaginalis; Genes; Genome; Genomics; Goals; HPV-High Risk; High grade dysplasia; Hispanic; Hispanic Populations; Human Papilloma Virus Vaccination; Human Papillomavirus; Human papilloma virus infection; Immune; Immune response; Immunologic Markers; Incidence; Inflammation; Integration Host Factors; Joints; Lactobacillus; Latin America; Lesion; Link; Longitudinal Studies; Low risk HPV; Machine Learning; Malassezia; Malignant Neoplasms; Malignant neoplasm of cervix uteri; Metabolic; Metagenomics; Microbe; Microbial Taxonomy; Molecular; Outcome; Participant; Pathogenesis; Pathway interactions; Patient Selection; Persons; Phenotype; Pilot Projects; Population; Predictive Value; Prevalence; Puerto Rico; Research; Risk; Risk Factors; Role; Sampling; Shotguns; Squamous intraepithelial lesion; Technology; Testing; United States; Vaccination; Virus; Woman; Women' s Group; Work; Yeasts; biomarker identification; cervicovaginal; cervicovaginal microbiome; chronic infection; co-infection; cofactor; commensal bacteria; cytokine; disease phenotype; follow-up; fungus; health disparity; high risk; host microbiota; host-microbe interactions; inflammatory marker; intraepithelial; lifestyle data; machine learning model; metabolic profile; metabolome; metabolomics; microbial; microbiome; mortality; multidisciplinary; multiple omics; new therapeutic target; novel; predictive modeling; premalignant; reproductive tract; tumor progression; vaginal microbiome

PROJECT SUMMARY Cervical cancer (CC) is the fourth most common female malignancy worldwide. Mortality rates are three times higher in Latin America and the Caribbean than in the United States, and Puerto Rico (PR) has the highest age-adjusted incidence for cervical cancer in the US despite of vaccination. Persistent infection with high-risk human papilloma virus (hr-HPV) types is a necessary, but not sufficient to cause cervical cancer. Other yet unknown cofactors are required to promote hr-HPH persistence and progression to cancer, however these pathways are not completely understood. Besides HPV infections, the key factors that promote cancer progression likely reside in the cervical environment, notably its local microbiome. Preliminary evidence suggests that increased bacterial diversity and reduction in Lactobacillus are associated with High grade squamous intraepithelial lesion (HSIL), however, except for preliminary data from our group that studied cervical yeast, we have not yet understood the importance of the fungal communities and other combined metabolic and host factors on disease progression. Here we propose to comprehensively study virus- microbiota-host interactions, using state of the art sequencing technologies and novel bioinformatic algorithms to address a malignancy, that is characterized by health disparities in the US and globally. Our overarching goal is to identify microbial inter-species interactions and host factors that control hr-HPV persistence and cervical disease. We will leverage samples and data already collected from over 300 participants in a cross-sectional pilot study cohort, and to additionally select 200 participants to follow up longitudinally. In Aim 1, we will quantify the cervicovaginal bacterial and fungal community composition and metabolome cross-sectionally, differentiating women with or without cervical dysplasia and presence or absence of high risk (hr) HPV. In Aim 2 we will identify bacterial and fungal strains, functional gene pathways and metabolites that over a longitudinal timeseries distinguish women without cervical disease (NILM - HPV negative and low-risk), from high-risk HPV infected women who progress to high grade dysplasia. Having shotgun metagenomics data from selected patients longitudinally is unique to be able to understand gene and functional changes of key taxa to inform on their role in progression or regression. We hypothesize that there will be genomic bacterial strains that differentiate women without lesions and with cervical disease and that multiple levels of omics data, including the microbiome, the metabolome and the cytokine profiles may have higher predictive value than HPV risk alone. This work will develop a strong platform for a long standing and central question regarding cervical disease in Hispanics and will lay the foundation for elucidating the mechanisms by which microbiomes affect HPV persistence and dysplasia.

项目总结