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Study on AUNIP as a Novel Tumor Marker for Cervical Cancer

Study on AUNIP as a Novel Tumor Marker for Cervical Cancer

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06118463
Enrollment
300
Registered
2023-11-07
Start date
2024-01-01
Completion date
2029-01-01
Last updated
2023-11-09

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

Conditions

Cervical Cancer

Brief summary

To detect the expression of AUNIP in cervical cancer serum, and to clarify its diagnostic and prognostic value.

Detailed description

Blood of all study participants of cervical cancer patients are collected to detect the expression of AUNIP, analyze the statistical correlation between the expression of cervical cancer AUNIP and clinicopathological parameters of patients, and preliminarily understand the expression of AUNIP in cervical cancer tumor tissues and its clinical diagnostic and progniostic value.

Interventions

DIAGNOSTIC_TESTDetection of serum AUNIP expression

The experiment is carried out according to the ELISA kit instructions, and the absorbance optic density (OD) value of the enzyme labeler at 450 nm is read. The protein concentration of AUNIP in the serum sample is calculated according to the standard curve.

Sponsors

Lin Yuan
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
20 Years to 60 Years
Healthy volunteers
Yes

Inclusion criteria

Study group inclusion criteria: * Women aged 20-60 * There is a definite pathological diagnosis of cervical cancer Healthy control group: * Women aged 20-60 * No tumors in the uterus or other parts of the body * No inflammatory disease * Blood routine and blood biochemical tests are normal

Design outcomes

Primary

MeasureTime frameDescription
AUNIP expression in serumthrough study completion, an average of 3 yearSerum AUNIP expression is detected by ELISA kit. The results will be recorded seperately.

Contacts

Primary ContactLin Yuan, Ph.D.
yuanl@sdfmu.edu.cn0531-89269678

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026