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Prediction model of cervical cancer

Construction and analysis of multi-modal prediction model for female reproductive health risk

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500111190
Enrollment
Unknown
Registered
2025-10-27
Start date
2025-10-31
Completion date
Unknown
Last updated
2025-11-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cervical cancer and cervical precancerous lesions

Interventions

Healthy Control Group:None
Precancerous Lesion Group:None

Sponsors

The First Affiliated Hospital of Xiamen University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
20 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1.Clear cervical screening and diagnosis: at least one previous cervical cytology or histological biopsy, obtain clear diagnostic results (normal, CIN or cervical cancer, etc.) , pathological diagnosis as the gold standard group. 2.Have been tested for PAX1 and JAM3 methylation: subjects have been tested for PAX1 and JAM3 methylation levels in cervical exfoliated cells (usually as a shunt test after HPV positivity) during the diagnostic process, and have a test report to check. 3.Complete clinical data: complete clinical medical records, including basic demographic data (age, marital history, etc.) , HPV infection test results, cytological results, pathological diagnosis, treatment process, etc. . 4.Sample availability: the amount of corresponding cervical cell preservation solution or tissue samples retained in the Biobank is sufficient and the quality meets the requirements of follow-up experiments (such as non-obvious degradation of contamination) .

Exclusion criteria

Exclusion criteria: 1.Comorbid other site malignancies: patients with a previous or current diagnosis of a malignancy other than cervical cancer were not included in this study to avoid the impact of other tumor-related treatments on the index. 2.Serious complications or infections: such as severe pelvic inflammatory disease, immunodeficiency, AIDS and other conditions that may affect the vaginal flora or immune status should be excluded. 3.Pregnant women: the hormone level and immune status of pregnant women are special, which may affect the related indicators and are not representative, so they are not included. 4.Incomplete data or substandard samples: those with missing key clinical information or improperly preserved samples that prevent scheduled testing should be excluded. 5.Recent use of antibiotics: history of antibiotic therapy within 3 months before sampling.

Design outcomes

Primary

MeasureTime frame
Vaginal microbiome;HPV infection;DNA breakome of the vaginal epithelium;Point Mutation of gene;The genome of the vaginal epithelium;Severity of Cervical Lesions;

Secondary

MeasureTime frame
Host genomic variations (mutations, CNVs, TMB);DNA damage markers (?-H2AX, Comet assay, 8-oxo-dG);Combined PAX1/JAM3 positivity;

Countries

China

Contacts

Public ContactLian Jiabian

The First Affiliated Hospital of Xiamen University

faster_lian@xmu.edu.cn+86 592 2139659

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026