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This study investigates plasma metabolites to clarify the relationship between these metabolites and breast cancer, aiming to identify valuable biomarkers. Furthermore, by incorporating clinical information-such as cancer stage, type, treatment outcomes, and prognosis-into prospective studies, the research seeks to further examine the correlation between plasma metabolites, treatment efficacy, and prognosis.
Compared to normal tissues, tumor tissues exhibit significant metabolic changes. Consequently, tumor metabolic dysregulation is recognized as a novel marker of cancer. Differential analysis of metabolic phenotypes has the potential to establish new patient stratification criteria and biomarkers that facilitate personalized therapy. Breast cancer is the most prevalent malignant tumor among women. With advancements in metabolomics sequencing technology, an increasing number of researchers are focusing on the role of metabolomics in the diagnosis and treatment of breast cancer. It is important to note that the significance of individual metabolites in relation to breast cancer varies across studies; therefore, a standardized metabolic profile for assessing breast cancer risk has yet to be established.
This project collected data from natural populations and breast cancer patients by analyzing plasma metabolites alongside clinical treatment information. The goals of this study are to explore the correlation between plasma metabolites and breast cancer, as well as to identify biomarkers that characterize therapeutic efficacy and prognosis.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| cohort 1 | women without breast cancer or other malignanciesï¼›breast cancer patients. |
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| cohort 2 | patients diagnosed with breast cancer who received standard neoadjuvant therapy. |
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| Cohort 3 | patients who have been discharged after breast cancer treatment. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No intervention | Other | There is no intervention in this study. We will obtain blood from the recruited patients and assess the metabolites therein. This is an observational work. |
| Measure | Description | Time Frame |
|---|---|---|
| Cohort 1 : Different Plasma Metabolites | To measure the plasma metabolites of non-tumor individuals and breast cancer patients, and to analyze the differential metabolites between the two populations. | 2 years |
| Cohort 2: Different Plasma Metabolites | pCR refers to the complete pathological remission of tumor lesions following neoadjuvant chemotherapy. To measure the plasma metabolites of breast cancer patients both before and after neoadjuvant chemotherapy, and to analyze the differential metabolites between patients who achieve pCR and those who do not. | 2 years |
| Cohort 3: Different Plasma Metabolites | The metabolites in the blood of discharged breast cancer patients were measured regularly, and the differences in metabolites between patients with disease recurrence or metastasis and those without recurrence or metastasis within a 5-year period were analyzed. | 7 years |
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Inclusion Criteria:
Exclusion Criteria:
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The participants included individuals without tumors, patients diagnosed with breast cancer , and patients who have been discharged after breast cancer treatment.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Liu Hua, Ph. D | Contact | 15140067366 | 20242027@cmu.edu.cn | |
| Liu Cai Gang, Ph. D | Contact | 15140067366 | 20242027@cmu.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Shengjing Hospital of China Medical University | Recruiting | Shenyang | Liaoning | 110004 | China |
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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Peripheral Blood
| D017437 |
| Skin and Connective Tissue Diseases |