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423,131 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | A Case of Bilateral Breast Cancer in a patient on Ocrelizumab | Ocrelizumab | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: A Case of Bilateral Breast Cancer in a patient on Ocrelizumab ### Output: Ocrelizumab |
423,136 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | An Endocrine Resistant-Related Gene Signature Revealing the Tumor Microenvironment to Predict the Prognosis of Hormone Receptor-Positive Breast Cancer Patients | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: An Endocrine Resistant-Related Gene Signature Revealing the Tumor Microenvironment to Predict the Prognosis of Hormone Receptor-Positive Breast Cancer Patients ### Output: |
423,137 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Pathway profiling for prediction of response to neoadjuvant Letrozole therapy in ER positive postmenopausal breast cancer: gaining new insights for targeted treatment | Letrozole | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Pathway profiling for prediction of response to neoadjuvant Letrozole therapy in ER positive postmenopausal breast cancer: gaining new insights for targeted treatment ### Output: Letrozole |
423,138 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Mitomycin: its developmental role in the treatment of patients with BRCA - associated triple-negative early and locally advanced breast cancer | Mitomycin | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Mitomycin: its developmental role in the treatment of patients with BRCA - associated triple-negative early and locally advanced breast cancer ### Output: Mitomycin |
423,139 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Real world experience with Carboplatin plus Nab-paclitaxel as neoadjuvant therapy in patients with early triple negative breast cancer. | Carboplatin;Nab-Paclitaxel | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Real world experience with Carboplatin plus Nab-paclitaxel as neoadjuvant therapy in patients with early triple negative breast cancer. ### Output: Carboplatin;Nab-Paclitaxel |
423,140 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Clinical outcomes by age subgroups in the phase 3 TROPiCS-02 study of sacituzumab govitecan vs treatment of physician's choice in HR+/HER2- metastatic breast cancer | Sacituzumab Govitecan | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Clinical outcomes by age subgroups in the phase 3 TROPiCS-02 study of sacituzumab govitecan vs treatment of physician's choice in HR+/HER2- metastatic breast cancer ### Output: Sacituzumab Govitecan |
423,141 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Efficacy and Safety of Alpelisib in PIK3CA-mutated, hormone receptor-positive advanced breast cancer after a CDK4/6 inhibitor: An Open-label, Multi-centre, Prospective, Single Arm Clinical Trial | Alpelisib | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Efficacy and Safety of Alpelisib in PIK3CA-mutated, hormone receptor-positive advanced breast cancer after a CDK4/6 inhibitor: An Open-label, Multi-centre, Prospective, Single Arm Clinical Trial ### Output: Alpelisib |
423,142 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Lymphatic Microsurgical Preventive Healing Approach (LYMPHA) in Breast Cancer Patients: A Prospective Pilot Study to Evaluate Success of LYMPHA in Preventing Lymphedema in Breast Cancer Survivors | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Lymphatic Microsurgical Preventive Healing Approach (LYMPHA) in Breast Cancer Patients: A Prospective Pilot Study to Evaluate Success of LYMPHA in Preventing Lymphedema in Breast Cancer Survivors ### Output: |
423,144 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Influence of the surgical clip concerning the dose and volume of irradiated surrounding tissues including lung and heart in the planning of radiotherapy boost with conservative breast surgery with and without oncoplasty. | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Influence of the surgical clip concerning the dose and volume of irradiated surrounding tissues including lung and heart in the planning of radiotherapy boost with conservative breast surgery with and without oncoplasty. ### Output: |
423,147 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Comparison of long-term oncological outcomes in young women with breast cancer between BRCA-mutation carriers versus non-carriers: How genetic risk factors and tumor characteristics influence the prognosis. | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Comparison of long-term oncological outcomes in young women with breast cancer between BRCA-mutation carriers versus non-carriers: How genetic risk factors and tumor characteristics influence the prognosis. ### Output: |
423,149 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Are contralateral prophylactic mastectomy rates impacted by ASBrS guidelines to offer germline genetic testing to all patients with breast cancer? Results from a large, prospective, single-institution cohort | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Are contralateral prophylactic mastectomy rates impacted by ASBrS guidelines to offer germline genetic testing to all patients with breast cancer? Results from a large, prospective, single-institution cohort ### Output: |
423,150 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Radiotherapy-associated Complications in Breast Cancer patients treated with Nipple-Sparing Mastectomy: Results of the Reconstruction-after-Mastectomy AGO R02 Registry. | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Radiotherapy-associated Complications in Breast Cancer patients treated with Nipple-Sparing Mastectomy: Results of the Reconstruction-after-Mastectomy AGO R02 Registry. ### Output: |
423,151 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Development and Validation of a Genomic Test to Predict Tumor Response of the Axillary Nodes after Neoadjuvant Chemotherapy (NAC) in Patients with HER2-negative Breast Cancer: Results of the AGO-35 trial | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Development and Validation of a Genomic Test to Predict Tumor Response of the Axillary Nodes after Neoadjuvant Chemotherapy (NAC) in Patients with HER2-negative Breast Cancer: Results of the AGO-35 trial ### Output: |
423,155 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Clinical utility of sentinel lymph node biopsy in women >= 70 years with early breast cancer - an international, retrospective multi-center cohort study | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Clinical utility of sentinel lymph node biopsy in women >= 70 years with early breast cancer - an international, retrospective multi-center cohort study ### Output: |
423,156 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | The Impact of Bi-Annual Diagnostic Imaging on Detecting Ipsilateral Breast Recurrence in Patients Undergoing Breast Conserving Surgery for Breast Cancer | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: The Impact of Bi-Annual Diagnostic Imaging on Detecting Ipsilateral Breast Recurrence in Patients Undergoing Breast Conserving Surgery for Breast Cancer ### Output: |
423,161 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Development of a long-term in vitro assay able to identify compounds that can overcome resistance to CDK4/6 inhibitor plus endocrine therapy in ER+ HER2- breast cancer | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Development of a long-term in vitro assay able to identify compounds that can overcome resistance to CDK4/6 inhibitor plus endocrine therapy in ER+ HER2- breast cancer ### Output: |
423,163 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Narazaciclib's differential targets and kinase inhibitory activity contribute to the enhanced inhibition of tumor growth in preclinical models | Narazaciclib | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Narazaciclib's differential targets and kinase inhibitory activity contribute to the enhanced inhibition of tumor growth in preclinical models ### Output: Narazaciclib |
423,173 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | IRX5010, a Highly Selective RARg Nuclear Receptor Agonist Compound Inhibits In Vivo Growth of Murine EMT-6 Triple Negative Breast Cancer and Human JIMT-1Her2+ Breast Cancer By Induction of Tumor-Infiltrating Effector Memory T-cells | IRX5010 | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: IRX5010, a Highly Selective RARg Nuclear Receptor Agonist Compound Inhibits In Vivo Growth of Murine EMT-6 Triple Negative Breast Cancer and Human JIMT-1Her2+ Breast Cancer By Induction of Tumor-Infiltrating Effector Memory T-cells ### Output: IRX5010 |
423,177 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Predictive value of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios in patients with triple negative breast cancer treated with pembrolizumab | Pembrolizumab | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Predictive value of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios in patients with triple negative breast cancer treated with pembrolizumab ### Output: Pembrolizumab |
423,189 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Machine learning-based risk prediction for late distant recurrence in young women with estrogen receptor-positive/human epidermal growth factor 2-negative breast cancer | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Machine learning-based risk prediction for late distant recurrence in young women with estrogen receptor-positive/human epidermal growth factor 2-negative breast cancer ### Output: |
423,193 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Digital image analysis and a novel set of cell line samples as aids in the development of a quantitative external quality assessment programme for Ki-67. | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Digital image analysis and a novel set of cell line samples as aids in the development of a quantitative external quality assessment programme for Ki-67. ### Output: |
423,194 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Evidence of significant differences in the quality of PD-L1 immunohistochemical testing of triple negative breast cancer: results from external quality assessment | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Evidence of significant differences in the quality of PD-L1 immunohistochemical testing of triple negative breast cancer: results from external quality assessment ### Output: |
423,195 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | The Breast Cancer Research Foundation Drug Research Collaborative - A unique and innovative model for industry-funded, academically driven research to advance the field of breast cancer. | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: The Breast Cancer Research Foundation Drug Research Collaborative - A unique and innovative model for industry-funded, academically driven research to advance the field of breast cancer. ### Output: |
423,197 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Comparison between the 7th and the 8th edition of TNM Staging System of American joint committee on Cancer(AJCC) for Breast Cancer Patients, diagnosed and treated at King Abdulaziz Medical City | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Comparison between the 7th and the 8th edition of TNM Staging System of American joint committee on Cancer(AJCC) for Breast Cancer Patients, diagnosed and treated at King Abdulaziz Medical City ### Output: |
423,198 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | A Tumor Emboli Platform for Morphometric Analysis, Drug screening and for Intravital Optical Imaging in a Murine Model to Simulate Clinicopathological Features of Inflammatory Breast Cancer | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: A Tumor Emboli Platform for Morphometric Analysis, Drug screening and for Intravital Optical Imaging in a Murine Model to Simulate Clinicopathological Features of Inflammatory Breast Cancer ### Output: |
423,202 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | Development of TTX-MC138, a First-In-Class miRNA-10b-Targeted Therapeutic Against Metastatic Cancers of Diverse Primary Disease Origins | TTX-MC138 | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: Development of TTX-MC138, a First-In-Class miRNA-10b-Targeted Therapeutic Against Metastatic Cancers of Diverse Primary Disease Origins ### Output: TTX-MC138 |
423,203 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | A novel ROR1 inhibitor CPD86 suppresses Triple-Negative Breast Cancer cells via regulation of AKT/GSK3b pathway | CPD86 | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: A novel ROR1 inhibitor CPD86 suppresses Triple-Negative Breast Cancer cells via regulation of AKT/GSK3b pathway ### Output: CPD86 |
423,207 | Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. | A COMPARATIVE STUDY OF DIAGNOSTICS MADE BY FINE NEEDLE ASPIRATION (FNA) BIOPSY VERSUS TRU-CUT FOR BREAST PATHOLOGY IN A ONE STOP CLINIC PROGRAM IN MEDELLIN, COLOMBIA. | null | Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. ### Instruction: Identify all the mentioned drugs in the given text. Text may or may not contain drug. If they contain more than 1 drug, use ";" as delimiter and join them. ### Input: A COMPARATIVE STUDY OF DIAGNOSTICS MADE BY FINE NEEDLE ASPIRATION (FNA) BIOPSY VERSUS TRU-CUT FOR BREAST PATHOLOGY IN A ONE STOP CLINIC PROGRAM IN MEDELLIN, COLOMBIA. ### Output: |