Ultrasensitive SERS Platform With Highly Efficient Enrichment of Analyte for Screening and Diagnosis of Epithelial Ovarian Cancer

Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Observational
SUMMARY

This project is an open, single-center, prospective study aimed at developing high-sensitivity, high-specificity enrichment SERS chips using femtosecond laser processing technology. It involves extracting information from blood samples of ovarian cancer patients and normal controls, specifically identifying cancer and non-cancer signals. The study will construct a statistical algorithm model for the early diagnosis of ovarian cancer, enabling early identification and intervention for ovarian cancer patients.

Eligibility
Participation Requirements
Sex: Female
Minimum Age: 18
Maximum Age: 70
Healthy Volunteers: t
View:

• The subjects understand the trial process, sign the informed consent form, voluntarily participate in the study, and are capable of following the protocol;

• Aged 18 to 70 (inclusive):

⁃ Cancer group: Ovarian cancer patients (50 cases of high-grade serous ovarian cancer, 15 cases of low-grade serous ovarian cancer, 20 cases of endometrioid ovarian cancer, 20 cases of clear cell carcinoma) i. All ovarian cancer patients are initial treatment patients with complete clinical data; ii. Patients have an ECOG performance status score of 0-3 and a life expectancy of more than 6 months; iii. Subjects consent to blood sample collection for SERS analysis (provided free of charge); iv. Good organ function.

⁃ Normal control group: (20 cases) i. Normal control subjects are patients undergoing surgery for benign diseases; ii. Patients have complete clinical data; iii. Subjects have not undergone any radical treatment for the benign lesion prior to blood collection.

Locations
Other Locations
China
Anhui Provincal Hospital
RECRUITING
Hefei
Contact Information
Primary
Ying Zhou, MD
caddiezy@ustc.edu.cn
_8613865901025
Backup
Ying Zhou, MD
caddiezy@ustc.edu.cn
Time Frame
Start Date: 2025-01-01
Estimated Completion Date: 2030-12-31
Participants
Target number of participants: 70
Treatments
healthy control
By analyzing the Raman signals of peripheral serum from normal controls, unique signal characteristics specific to ovarian cancer patients are identified through comparative analysis with the control group.
Ovarian cancer group
Extract information from blood samples of ovarian cancer patients, specifically identifying cancer and non-cancer signals to construct a statistical algorithm model for the early diagnosis of ovarian cancer.
Related Therapeutic Areas
Sponsors
Leads: Anhui Provincial Hospital

This content was sourced from clinicaltrials.gov