The Mechanism of Vaginal Flora and Its Metabolites in the Pathogenesis of Cervical Cancer

NCT ID: NCT05185713

Last Updated: 2022-01-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-04-01

Study Completion Date

2023-01-01

Brief Summary

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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

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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.

Conditions

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Cervical Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Ctrl HPV (-)

Patients with normal cervix and HPV negative

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

Intervention Type OTHER

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

Ctrl HPV (+)

Patients with normal cervix and HPV positive

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

Intervention Type OTHER

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

LSIL group

Patients with low-grade squamous Intraepithelial lesion

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

Intervention Type OTHER

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

HSIL group

Patients with high-grade squamous Intraepithelial lesion

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

Intervention Type OTHER

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

ICC group

Patients newly diagnosed invasive cervical cancer

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

Intervention Type OTHER

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

Interventions

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This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

This project is a clinical observational study. No additional medication or surgical interventions are performed on the subjects.

Intervention Type OTHER

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Maximum Eligible Age

60 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Rao Qunxian

Role: STUDY_DIRECTOR

The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Locations

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The Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

Guangzhou, Guangdong, China

Site Status

Countries

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China

Central Contacts

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Rao Qunxian

Role: CONTACT

+86 13902250700

Facility Contacts

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Rao Qunxian

Role: primary

+86 13902250700

References

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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.

Reference Type BACKGROUND
PMID: 30207593 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 14997202 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 12972789 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 11943255 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 12957357 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19910411 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 30275573 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

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SYSEC-KY-KS-2021-214

Identifier Type: -

Identifier Source: org_study_id

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