Multi-omics Analysis, Rare Gynecological Tumors
Conditions
Keywords
Genomics, Transcriptome, proteomics, metabonomics, Pathological omics, Imaging omics
Brief summary
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.
Interventions
None listed
Sponsors
Study design
Eligibility
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Multi-omics feature map | August 2023 to May 2028 | 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. |
| Database system | August 2023 to May 2028 | Design and establish the database system of the above gynecological rare pathological types of tumors. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Correlation analysis | August 2023 to May 2028 | Integrate the characteristic maps of imaging omics, genomics, transcriptome, proteomics, pathological omics, metabonomics, etc. to study their possible relevance. |