Clinical trial NCT05185713: The Mechanism of Vaginal Flora and Its Metabolites in the Pathogenesis of Cervical Cancer
Official title: The Mechanism of Vaginal Flora and Its Metabolites in the Pathogenesis of Cervical Cancer
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Cervical Cancer
Keywords: cervical cancer
vaginal flora
metaboliomics
Lead sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Sponsor class: OTHER
First posted: 2022-01-11
Enrollment: 300
Sex: FEMALE
Minimum age (years): 18
Maximum age (years): 60
Standard ages: ADULT
Accepts healthy volunteers: yes
Observational model: COHORT
Time perspective: CROSS_SECTIONAL
Sampling method: PROBABILITY_SAMPLE
Study population: All patients are selected from the gynecology clinical department of the Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University.

Brief summary: The disorder of vaginal microflora and its metabolites is considered to be a facilitating factor to human papillomavirus-mediated cervical cancer. However, the mechanism is still unclear. This study intends to carry out a cross-sectional study and a cohort study. The cross-sectional study intends to recruit 300 premenopausal non-pregnant women, dividing them into five groups, with 60 in each group: HPV negative \[Ctrl HPV (-)\], HPV positive \[Ctrl HPV (+)\], low-grade squamous Intraepithelial lesion (LSIL), high-grade squamous intraepithelial lesion (HSIL) and newly diagnosed invasive cervical cancer (ICC). Obtain basic information through the questionnaire, and collect vaginal secretion and blood samples. At the same time, patients who are diagnosed with cervical cancer for the first time will be included in the cohort study. Collect the same kind of information. The follow-up period is set to be 3 years, and samples will be collected every six months. If any condition changes within the 3 years, samples should be collected. If new treatments are taken, samples should be taken before and after treatment. And if the lesion turns negative after treatment within the 3 years, complete the follow-up. Using 16S rRNA gene sequencing, metabolomics, and immunological methods to determine the vaginal microbiota and its metabolites and inflammation condition, select biomarkers related to the onset of cervical cancer. construct a cervical cancer risk model and outcome prediction model, and reveal the mechanism of vaginal flora and its metabolites in the pathogenesis and development of cervical cancer. Therefore provides a new direction for the prevention and treatment of cervical cancer.

Detailed description: The disorder of vaginal microflora and its metabolites is considered to be a facilitating factor to human papillomavirus-mediated cervical cancer. However, the mechanism is still unclear.

This study intends to carry out a cross-sectional study and a cohort study. The cross-sectional study intends to recruit 300 premenopausal non-pregnant women, dividing them into five groups, with 60 in each group: HPV negative \[Ctrl HPV (-)\], HPV positive \[Ctrl HPV (+)\], low-grade squamous Intraepithelial lesion (LSIL group), high-grade squamous intraepithelial lesion (HSIL group) and newly diagnosed invasive cervical cancer (ICC group).

Obtain basic information through the questionnaire, and collect vaginal secretion and blood samples every time the patients review the clincal department as scheduled. At the same time, patients who are diagnosed with cervical cancer for the first time will be included in the cohort study. Collect the same kind of information. The follow-up period is set to be 3 years, and samples will be collected every six months. If any condition changes within the 3 years, samples should be collected. If new treatments are taken, samples should be taken before and after treatment. And if the lesion turns negative after treatment within the 3 years, complete the follow-up.

Using 16S rRNA gene sequencing, metabolomics, and immunological methods to determine the vaginal microbiota and its metabolites and inflammation condition, select biomarkers related to the onset of cervical cancer.

Carry out the genital tract inflammation score calculating, blood inflammatory factors testing, biological information analyzing, and metabolite composition and content in vaginal secretions analyzing.

The purpose of this study is to construct a cervical cancer risk model and outcome prediction model, and reveal the mechanism of vaginal flora and its metabolites in the pathogenesis and development of cervical cancer. Therefore provides a new direction for the prevention and treatment of cervical cancer.

Eligibility criteria: Inclusion Criteria:

1. Age 18 to 60 years women;
2. have a history of sexual life for 3 years or more;
3. women not in the menstrual period, pregnancy, or puerperium.

Exclusion Criteria:

1. Women who received antibiotics and antifungal treatment within one month before the sample collection (records);
2. Women suffering from the following diseases: other cancer, vaginal infections, bacterial vaginosis, vulvar infections, urinary tract infections or sexually transmitted infections including chlamydia, gonorrhea, trichomoniasis and genital herpes, type I or type II diabetes, AIDS Virus positive;
3. Women with abnormal vaginal secretions or dirt in the vagina, and women who used flushing substances within three weeks before the sample collection;
4. Have sexual intercourse or use vaginal lubricant within 48 hours before sample collection.

Primary outcomes:
measure: Genital tract inflammation score
timeFrame: immediately after the sample collection
measure: Blood inflammatory factors
timeFrame: immediately after the sample collection
measure: 16sDNA sequencing and biological information analysis
timeFrame: immediately after the sample collection
measure: The metabolite composition and content in vaginal secretions
timeFrame: immediately after the sample collection
Secondary outcomes:
measure: The content of the questionnaire
timeFrame: immediately after the first visit of the patients
Other outcomes:
Locations:
city: Guangzhou
country: China
facility: The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
state: Guangdong
Study officials:
affiliation: The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
name: Rao Qunxian
role: STUDY_DIRECTOR
References:
citation: Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.
citation: Hinkula M, Pukkala E, Kyyronen P, Laukkanen P, Koskela P, Paavonen J, Lehtinen M, Kauppila A. A population-based study on the risk of cervical cancer and cervical intraepithelial neoplasia among grand multiparous women in Finland. Br J Cancer. 2004 Mar 8;90(5):1025-9. doi: 10.1038/sj.bjc.6601650.
citation: Syrjanen S, Shabalova I, Petrovichev N, Kozachenko V, Zakharova T, Pajanidi J, Podistov J, Chemeris G, Sozaeva L, Lipova E, Tsidaeva I, Ivanchenko O, Pshepurko A, Zakharenko S, Nerovjna R, Kljukina L, Erokhina O, Branovskaja M, Nikitina M, Grujnberga V, Grujnberg A, Juschenko A, Johansson B, Tosi P, Cintorino M, Santopietro R, Syrjanen K. Sexual habits and human papillomavirus infection among females in three New Independent States of the former Soviet Union. Sex Transm Dis. 2003 Sep;30(9):680-4. doi: 10.1097/01.OLQ.0000079519.04451.D4.
citation: Moreno V, Bosch FX, Munoz N, Meijer CJ, Shah KV, Walboomers JM, Herrero R, Franceschi S; International Agency for Research on Cancer. Multicentric Cervical Cancer Study Group. Effect of oral contraceptives on risk of cervical cancer in women with human papillomavirus infection: the IARC multicentric case-control study. Lancet. 2002 Mar 30;359(9312):1085-92. doi: 10.1016/S0140-6736(02)08150-3.
citation: Lee SA, Kang D, Seo SS, Jeong JK, Yoo KY, Jeon YT, Kim JW, Park NH, Kang SB, Lee HP, Song YS. Multiple HPV infection in cervical cancer screened by HPVDNAChip. Cancer Lett. 2003 Aug 20;198(2):187-92. doi: 10.1016/s0304-3835(03)00312-4.
citation: Patterson JL, Stull-Lane A, Girerd PH, Jefferson KK. Analysis of adherence, biofilm formation and cytotoxicity suggests a greater virulence potential of Gardnerella vaginalis relative to other bacterial-vaginosis-associated anaerobes. Microbiology (Reading). 2010 Feb;156(Pt 2):392-399. doi: 10.1099/mic.0.034280-0. Epub 2009 Nov 12.
citation: Gonzalez A, Navas-Molina JA, Kosciolek T, McDonald D, Vazquez-Baeza Y, Ackermann G, DeReus J, Janssen S, Swafford AD, Orchanian SB, Sanders JG, Shorenstein J, Holste H, Petrus S, Robbins-Pianka A, Brislawn CJ, Wang M, Rideout JR, Bolyen E, Dillon M, Caporaso JG, Dorrestein PC, Knight R. Qiita: rapid, web-enabled microbiome meta-analysis. Nat Methods. 2018 Oct;15(10):796-798. doi: 10.1038/s41592-018-0141-9. Epub 2018 Oct 1.