The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Linking cervicovaginal immune signatures, HPV and microbiota composition in cervical carcinogenesis in non-Hispanic and Hispanic women
Open accessAbstract
While high-risk human papillomavirus (HPV) infection is a well-established risk factor for cervical cancer, there are likely other factors within the local microenvironment that contribute to cervical carcinogenesis. Here we investigated relationships between HPV, vaginal pH, vaginal microbiota (VMB) composition, level of genital immune mediators and severity of cervical neoplasm. We enrolled women with low- and high-grade cervical dysplasia (LGD, HGD), invasive cervical carcinoma (ICC), and healthy controls. HPV16, HPV45, HPV58, and HPV31 were the most prevalent in our cohort with HPV16 and HPV31 genotypes more prevalent in Hispanics. Vaginal pH was associated with ethnicity and severity of cervical neoplasm. Lactobacillus dominance decreased with the severity of cervical neoplasm, which correlated with elevated vaginal pH. Hispanic ethnicity was also associated with decreased Lactobacillus dominance. Furthermore, Sneathia was enriched in all precancerous groups, ICC, abnormal pH and Hispanic origin. Patients with ICC, but not LGD and HGD, exhibited increased genital inflammatory scores and elevated specific immune mediators. Notably, IL-36γ was significantly associated with ICC. Our study revealed local, host immune and microbial signatures associated with cervical carcinogenesis and provides an initial step to understanding the complex interplay between mucosal inflammation, HPV persistence and the VMB.
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Global Burden of Disease Cancer Collaboration, Fitzmaurice, C., Allen, C., Barber, R. M., Barregard, L., Bhutta, Z. A., Brenner, H., Dicker, D. J., Chimed-Orchir, O., Dandona, R., et al. (2017) · JAMA Oncology · doi:10.1001/jamaoncol.2016.5688 · Cited by 6,215
Vaginal microbiome of reproductive-age women
Ravel, J., Gajer, P., Abdo, Z., Schneider, G. M., Koenig, S. S. K., McCulle, S. L., Karlebach, S., Gorle, R., Russell, J., Tacket, C. O., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002611107 · Cited by 4,254
Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible
McMurdie, P. J., & Holmes, S. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003531 · Cited by 2,921
Normalization and microbial differential abundance strategies depend upon data characteristics
Weiss, S., Xu, Z. Z., Peddada, S., Amir, A., Bittinger, K., Gonzalez, A., Lozupone, C., Zaneveld, J. R., Vázquez-Baeza, Y., Birmingham, A., et al. (2017) · Microbiome · doi:10.1186/s40168-017-0237-y · Cited by 2,051
Temporal Dynamics of the Human Vaginal Microbiota
Gajer, P., Brotman, R. M., Bai, G., Sakamoto, J., Schütte, U. M. E., Zhong, X., Koenig, S. S. K., Fu, L., Ma, Z. (., Zhou, X., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003605 · Cited by 1,558
A bacterial driver–passenger model for colorectal cancer: beyond the usual suspects
Tjalsma, H., Boleij, A., Marchesi, J. R., & Dutilh, B. E. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2819 · Cited by 903
Human Papillomavirus–Associated Cancers — United States, 2008–2012
Viens, L. J., Henley, S. J., Watson, M., Markowitz, L. E., Thomas, C. C., Thompson, T. D., Razzaghi, H., & Saraiya, M. (2016) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6526a1 · Cited by 874
Anahtar, M. N., Byrne, E. H., Doherty, K. E., Bowman, B. A., Yamamoto, H. S., Soumillon, M., Padavattan, N., Ismail, N., Moodley, A., Sabatini, M. E., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.04.019 · Cited by 795
Gosmann, C., Anahtar, M. N., Handley, S. A., Farcasanu, M., Abu-Ali, G., Bowman, B. A., Padavattan, N., Desai, C., Droit, L., Moodley, A., et al. (2017) · Immunity · doi:10.1016/j.immuni.2016.12.013 · Cited by 696
Metadata
- Authors
- Łaniewski, P., Barnes, D., Goulder, A., Cui, H., Roe, D. J., Chase, D. M., & Herbst-Kralovetz, M. M.
- Venue
- Scientific Reports
- Published
- 2018-05-15
- Volume
- 8
- Issue
- 1
- Pages
- 7593-7593
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2806769319
- Cited by
- 282
- References
- 54
- FWCI
- 12.27
- Type
- journal article
- Language
- en
- Open access
- gold
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- Łaniewski, P., Barnes, D., Goulder, A., Cui, H., Roe, D. J., Chase, D. M., & Herbst-Kralovetz, M. M. (2018). Linking cervicovaginal immune signatures, HPV and microbiota composition in cervical carcinogenesis in non-Hispanic and Hispanic women. Scientific Reports. https://doi.org/10.1038/s41598-018-25879-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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