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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.
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| Measure | Description | Time Frame |
|---|---|---|
| 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. | August 2023 to May 2028 |
| Database system | Design and establish the database system of the above gynecological rare pathological types of tumors. | August 2023 to May 2028 |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation analysis | Integrate the characteristic maps of imaging omics, genomics, transcriptome, proteomics, pathological omics, metabonomics, etc. to study their possible relevance. | August 2023 to May 2028 |
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Patients with rare gynecological tumors who underwent surgery in three hospitals, including Renji Hospital affiliated to Shanghai Jiaotong University School of Medicine, Sun Yat-sen Memorial Hospital affiliated to Sun Yat-sen University and the First Affiliated Hospital of University of Science and Technology of China, were diagnosed as clear cell carcinoma (ovary, uterus), neural small-cell carcinoma (ovary, uterus), carcinosarcoma or sarcoma (ovary, uterus), cervical gastric adenocarcinoma, ovarian germ cell tumor, ovarian sex cord stromal tumors, trophoblastic tumors, or perivascular epithelioid cell tumors (PECOMA), among others.
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