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This is an open, prospective and interventional clinical study. Patients with advanced Human Epidermal Growth Factor Receptor 2 (HER2) positive breast cancer resistant to trastuzumab will be enrolled in the study. Histological specimens obtained from different metastatic foci of patients, are used to conduct genome-wide sequencing together with Circulating tumor DNA (ctDNA) of blood samples. Meanwhile, investigator will construct PDO model based on biopsy tissue. Patients as well as their paired Patient-derived organoids (PDO) models are divided into six groups according to genomic signatures. Each group of patients will receive the best targeted treatment scheme from the current clinical perspective, while the matched PDO model will accept a variety of potential effective schemes intervention. The future treatment plan of patients will be timely adjusted based on the tumor inhibition rate of PDO models. This study is the first time to explore the best individualized application sequence of targeted therapy for refractory HER2 positive breast cancer by combining genome sequencing with drug sensitivity test of PDO model. The results are expected to improve the prognosis of patients with advanced HER2 positive breast cancer.
In previous studies, investigator found that dynamic genomics detection of metastatic foci can fully reveal the mechanism of trastuzumab resistance. Different anti-HER2 treatment strategies for different mechanisms can improve the efficacy of HER2 positive advanced breast cancer, and the PDO drug sensitivity test model of breast cancer can be prior to patients' response to the exact efficacy of specific regimens.This study aimed to explore the optimal individualized drug combination and order for patients with advanced HER2 positive breast cancer resistant to trastuzumab based on a variety of existing diagnosis and treatment methods. This is an open, prospective and interventional clinical study. Patients with advanced HER2 positive breast cancer resistant to trastuzumab will be enrolled in the study. Histological specimens obtained from different metastatic foci of patients, are used to conduct genome-wide sequencing together with ctDNA of blood samples. Meanwhile, investigator will construct PDO model based on biopsy tissue. Patients as well as their paired PDO models are divided into six groups according to genomic signatures. Each group of patients will receive the best targeted treatment scheme from the current clinical perspective, while the matched PDO model will accept a variety of potential effective schemes intervention. The future treatment plan of patients will be timely adjusted based on the tumor inhibition rate of PDO models. This study is the first time to explore the best individualized application sequence of targeted therapy for refractory HER2 positive breast cancer by combining genome sequencing with drug sensitivity test of PDO model. The results are expected to improve the prognosis of patients with advanced HER2 positive breast cancer.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| A. HER2 low expression | Experimental | Phenotype was signatured by HER2 low expression. |
|
| B. HER2 amplified | Experimental | Signatured by wild type HER2 amplified. |
|
| C. HER2 mutation | Experimental | Signatured by HER2 mutation. |
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| D. HER2 downstream mutation | Experimental | Signatured by HER2 downstream mutation of PI3KCA, TP53 or PTEN. |
|
| E. Hormone receptor pathway activation | Experimental | Signatured by both ER and PR strongly expressed,or CCND1 amplified. |
|
| F. Immune activation |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Trastuzumab | Drug | Trastuzumab (6mg/Kg, iv.drip, d1, q3w) |
|
| Measure | Description | Time Frame |
|---|---|---|
| ORR | objective response rate (ORR) according to RECIST (version 1.1) of each group | Up to six weeks, first evaluation |
| PDO model inhibition rate | Tumor regression rate based on the calculation of the long diameter in each group | during the procedure |
| Measure | Description | Time Frame |
|---|---|---|
| PFS1 | Progress free survival (PFS) according to RECIST (version 1.1) of each group | during the procedure |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jin Yang, Doctor | Contact | +862985323473 | 792171443@qq.com |
| Name | Affiliation | Role |
|---|---|---|
| Jin Yang, Doctor | First Affiliated Hospital Xi'an Jiaotong University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| The First Affiliated Hospital of Xi'an Jiaotong University | Recruiting | Xi'an | Shaanxi | 710000 | China |
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| ID | Term |
|---|---|
| D000068878 | Trastuzumab |
| C485206 | pertuzumab |
| D013660 | Taxes |
| D000068196 | Albumin-Bound Paclitaxel |
| C000622954 | pyrotinib |
| D000069287 | Capecitabine |
| D000080044 | Ado-Trastuzumab Emtansine |
| D000068338 | Everolimus |
| C500026 | palbociclib |
| D000077289 | Letrozole |
| C000711728 | spartalizumab |
| C000632826 | sintilimab |
| ID | Term |
|---|---|
| D061067 | Antibodies, Monoclonal, Humanized |
| D000911 | Antibodies, Monoclonal |
| D000906 | Antibodies |
| D007136 | Immunoglobulins |
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| Experimental |
Signatured by high TMB or PD-L1 positively expressed. |
|
|
| Pertuzumab | Drug | Patuzumab (420mg iv.drip, d1,q3w) |
|
|
| Nab paclitaxel | Drug | nab-paclitaxel (200mg iv.drip, d1,d8, q3w) |
|
|
| Pyrotinib | Drug | Pyroltinib (400mg po qd) |
|
|
| Capecitabine | Drug | Capecitabine (1250mg/m2, po, bid, d1-d14, q3w). |
|
| T-DM1 | Drug | T-DM1(3.6mg/Kg, iv.drip, d1, q3w) |
|
|
| Everolimus | Drug | Everolimus (4mg, po, qd) |
|
|
| CDK4/6 inhibitor | Drug | Palbociclib (125mg, po, qd) |
|
|
| AI | Drug | Letrozole (2.5mg, qd). |
|
|
| Anti-PD-1 monoclonal antibody | Drug | Cindilimab (200mg, iv.drip, d1, q3w) |
|
|
| Jin Yang | Recruiting | Xi'an | Shaanxi | 710061 | China |
|
| D007162 |
| Immunoproteins |
| D001798 | Blood Proteins |
| D011506 | Proteins |
| D000602 | Amino Acids, Peptides, and Proteins |
| D012712 | Serum Globulins |
| D005916 | Globulins |
| D004467 | Economics |
| D004472 | Health Care Economics and Organizations |
| D017239 | Paclitaxel |
| D043823 | Taxoids |
| D043822 | Cyclodecanes |
| D003516 | Cycloparaffins |
| D006840 | Hydrocarbons, Alicyclic |
| D006844 | Hydrocarbons, Cyclic |
| D006838 | Hydrocarbons |
| D009930 | Organic Chemicals |
| D004224 | Diterpenes |
| D013729 | Terpenes |
| D000418 | Albumins |
| D003841 | Deoxycytidine |
| D003562 | Cytidine |
| D011741 | Pyrimidine Nucleosides |
| D011743 | Pyrimidines |
| D006573 | Heterocyclic Compounds, 1-Ring |
| D006571 | Heterocyclic Compounds |
| D005472 | Fluorouracil |
| D014498 | Uracil |
| D011744 | Pyrimidinones |
| D003853 | Deoxyribonucleosides |
| D009705 | Nucleosides |
| D009706 | Nucleic Acids, Nucleotides, and Nucleosides |
| D008453 | Maytansine |
| D018942 | Macrolides |
| D007783 | Lactones |
| D047029 | Lactams, Macrocyclic |
| D047028 | Macrocyclic Compounds |
| D011083 | Polycyclic Compounds |
| D020123 | Sirolimus |
| D009570 | Nitriles |
| D014230 | Triazoles |
| D001393 | Azoles |