IL-10, IL-15, IL-17, and GMCSF levels in cervical cancer tissue of Tanzanian women infected with HPV16/18 vs. non-HPV16/18 genotypes.

Abstract

BACKGROUND: Despite comparable screening rates for precancerous lesions, higher incidence and mortality related to cervical cancer in minority women persists. Recent evidence suggests that minority women with precancerous cervical lesions harbor a wider range of human papillomavirus (HPV) genotypes, many of these distinct from HPV16/18, those most commonly found in Caucasian women. The goal of the analysis was to determine if inflammatory cytokines and chemokines varied by HPV 16/18 versus other genotypes in cervical cancer tissues from Tanzanian women. METHODS: HPV genotypes and concentrations of chemokines and cytokines were measured from homogenized fresh tumor tissue of thirty-one women with invasive cervical cancer (ICC). Risk factors for cervical cancer including age, parity, hormonal contraceptive use and cigarette smoking were obtained by questionnaire. Generalized linear models were used to evaluate differences between chemokines/cytokine levels in women infected with HPV16/18 and those infected with other HPV genotypes. RESULTS: After adjusting for age, parity and hormonal contraceptives, IL-17 was found significantly more frequently in invasive cervical cancer samples of women infected with HPV16/18 compared to women infected with other HPV genotypes (p = 0.033). In contrast, higher levels for granular macrophage colony-stimulating factor (p = 0.004), IL-10 (p = 0.037), and IL-15 (p = 0.041) were found in ICC tissues of women infected with genotypes other than HPV16/18 when compared to those of women infected with HPV16/18. CONCLUSIONS: While the small sample size limits inference, our data suggest that infection with different HPV genotypes is associated with distinct pro-inflammatory cytokine expression profiles; whether this explains some of the racial differences observed in cervical cancer is still unclear. Future studies are needed to confirm these findings.

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Citation

Published Version (Please cite this version)

10.1186/s13027-015-0005-1

Publication Info

Vidal, Adriana C, David Skaar, Rachel Maguire, Seyram Dodor, Laura W Musselwhite, John A Bartlett, Olola Oneko, Joseph Obure, et al. (2015). IL-10, IL-15, IL-17, and GMCSF levels in cervical cancer tissue of Tanzanian women infected with HPV16/18 vs. non-HPV16/18 genotypes. Infect Agent Cancer, 10. p. 10. 10.1186/s13027-015-0005-1 Retrieved from https://hdl.handle.net/10161/12657.

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Scholars@Duke

Bartlett

John Alexander Bartlett

Professor of Medicine

My clinical investigation is focused on the pathogenesis and treatment of HIV infection and its complications, especially in resource-limited settings.

Key Words: HIV infection, AIDS, treatment strategies, treatment failure, co-infections, resource-limited settings

Murphy

Susan Kay Murphy

Associate Professor in Obstetrics and Gynecology

Dr. Murphy is a tenured Associate Professor in the Department of Obstetrics and Gynecology and serves as Chief of the Division of Reproductive Sciences. As a molecular biologist with training in human epigenetics, her research interests are largely centered around the role of epigenetic modifications in health and disease. 

Dr. Murphy has ongoing projects on gynecologic malignancies, including approaches to eradicate ovarian cancer cells that survive chemotherapy and later give rise to recurrent disease. Dr. Murphy is actively involved in many collaborative projects relating to the Developmental Origins of Health and Disease (DOHaD).

Her lab is currently working on preconception environmental exposures in males, particularly on the impact of cannabis on the sperm epigenome and the potential heritability of these effects. They are also studying the epigenetic and health effects of in utero exposures, with primary focus on children from the Newborn Epigenetics STudy (NEST), a pregnancy cohort she co-founded who were recruited from central North Carolina between 2005 and 2011. Dr. Murphy and her colleagues continue to follow NEST children to determine relationships between prenatal exposures and later health outcomes.


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