Prospective Multi-omics Observational Study of Gynecological Rare Pathological Tumors

N/ANot Yet RecruitingNCT05985941

RenJi Hospital600 enrolled

Overview

The goal of this observational study is to draw the characteristic maps of genomics, transcriptome, proteomics, metabolomics, etc. in 600 patients with gynecological rare pathological types of malignant tumors. Then it is planned to explore the molecular mechanism and find some new targets for diagnosis and treatment, and design and establish the database system of the above rare tumors.

Study Type

OBSERVATIONAL

Enrollment

600

Conditions

Rare Gynecological Tumors Multi-omics Analysis

Eligibility

Sex: FEMALEMin age: 18 Years

Medical Language ↔ Plain English

Inclusion Criteria: * 1)Pathological diagnosis: clear cell carcinoma (ovary, uterus), nerve small-cell carcinoma (ovary, uterus), carcinosarcoma or sarcoma (ovary, uterus), cervical gastric adenocarcinoma, ovarian germ cell tumor, ovarian sex cord stromal tumor, trophoblastic tumor, perivascular epithelioid cell tumor (PECOMA) and other rare gynecological tumors; 2)Received pathological results from tumor surgery; 3)The patient voluntarily participated in this research project with good compliance and was able to complete the enrollment according to the experimental requirements; 4)Sign the informed consent form and consent to the collection and use of their data, and consent to genomics, transcriptome and other tests. Exclusion Criteria: * 1)Patients with malignant tumors in other parts of the body; 2)Suffering from uncontrollable neurological diseases, psychiatric diseases, or psychiatric disorders; 3)Poor compliance and inability to cooperate and describe treatment responders.

Outcomes

Primary Outcomes

Multi-omics feature map

Draw the characteristic maps of imaging omics, genomics, transcriptome, proteomics, pathological omics, metabolomics, etc. of patients with gynecological rare pathological types of malignant tumors, and explore the molecular mechanism thus finding some new targets for diagnosis and treatment.

Time frame: August 2023 to May 2028

Database system

Design and establish the database system of the above gynecological rare pathological types of tumors.

Time frame: August 2023 to May 2028

Secondary Outcomes

Correlation analysis

Integrate the characteristic maps of imaging omics, genomics, transcriptome, proteomics, pathological omics, metabonomics, etc. to study their possible relevance.

Time frame: August 2023 to May 2028

Data from ClinicalTrials.gov

This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.