Active clinical trials for "Breast Neoplasms"

The purpose of this study, the EBBA-II trial, is to determine whether a 12 month exercise program comprised of strength and endurance training among newly diagnosed breast cancer patients undergoing adjuvant therapy, will influence cardiopulmonary function. Secondary aims are to determine whether the 12 month exercise program will influence factors associated with metabolic profile, tumor growth, disease-free survival, overall mortality and breast cancer specific mortality. Furthermore, the effect on QoL parameters, and dietary factors will be assessed and evaluated.

This study is a randomized, open-label, phase II study, comparing the efficacy and safety of trastuzumab plus aromatase inhibitors, with or without pyrotinib, in the treatment of HR (hormone receptor)+/HER2 (human epidermal growth factor receptor 2) + MBC and inoperable LABC patients.

Breast cancer is the most common cancer among women. The modern post-surgery treatment with chemotherapy, immunotherapy, radiation and hormone therapy has improved the overall 5-years survival drastically. However, an unwanted effect of the post-surgery treatment is its potentially deleterious effect on the heart resulting in cardiac dysfunction. Angiotensin antagonists are used as part of the heart failure treatment. In smaller studies angiotensin antagonists have shown to have a cardioprotective effect during breast cancer treatment. Sacubitril/valsartan is a potent drug that in addition to an angiotensin antagonist contains a neprilysin inhibitor. Sacubitril/valsartan has proved to be superior to enalapril in chronic heart failure. In this randomized placebo controlled double blind trial we hypothesize that sacubitril/valsartan used concomitantly during anthracycline containing chemotherapy for breast cancer treatment prevents cardiac dysfunction as measured by cardiac magnetic resonance imaging (CMR). PRADA II is a Norwegian multicenter trial intending to recruit 214 patients and follow them for 18 months with CMR, cardiac ultrasound, blood samples, functional capacity tests and health related quality of life questionnaires.

This is a prospective, open label, parallel controlled study to evaluate the efficacy and safety of neoadjuvant pyrotinib in HER2+ breast cancer patients

Patient derived xenografts (PDX) from mammary tumors are usually made from metastatic tumors. Indeed, PDX from primitive mammary tumors or after neoadjuvant treatment are still rare. However, the realization of such PDX (from primitive mammary tumors or after neoadjuvant treatment) would make it possible to have a better knowledge of the tumor heterogeneity to the therapeutic response, to explore the models of tumor evolution during metastatic progression and also observe the mechanisms of tumor resistance in the case of non-metastatic tumors. It therefore seems necessary to develop PDX from primitive tumors in order to observe firstly the success rate of PDX; on the other hand, the drift of the initial heterogeneity, measured by comparison of the histomolecular profile of the tumors with that of the PDXs. It aims to develop xenografts from tumor samples from surgical specimens of patients with triple negative or luminal B breast cancer.

With the development of neoadjuvant therapy for tumors, neoadjuvant chemotherapy (NAC) has become one of the most common and effective methods for preoperative systemic treatment of locally advanced breast cancer (LABC). Although epirubicin combined with cyclophosphamide and sequential docetaxel has been widely recognized as the first-line NAC for LABC, there are still some inoperable LABCs that are insensitive to chemotherapy and miss the opportunity of surgery, especially those with luminal A and low expression of Ki67. Therefore, neoadjuvant endocrine therapy has important clinical value for such patients. At present, the combination of aromatase inhibitor drugs and cyclin dependent kinase 4/6 can significantly improve the prognosis and survival of LABC compared with aromatase inhibitor monotherapy. However, whether inoperable LABC patients, especially those who are not susceptible to chemotherapy, can choose the combination of aromatase inhibitor drugs and cyclin dependent kinase 4/6 as neoadjuvant endocrine therapy to replace NAC remains unclear. Because the main principle of endocrine therapy is to induce tumor cell cycle arrest, leading to apoptosis of tumor cells, the effect is slower than that of chemotherapy. In addition, whether endocrine therapy can replace chemotherapy as a new adjuvant treatment for patients with inoperable LABC to improve the operability rate has not yet been fully evidenced. Therefore, this trial aims to conduct the prospective randomized controlled phase IV clinical trial of palbociclib combined with letrozole versus epirubicin combined with cyclophosphamide and sequential docetaxel as NAC to prove the efficacy of palbociclib combined with letrozole in postmenopausal estrogen receptor-positive LABC patients with low Ki67 expression.

Breast cancer (BC) is the most common cancer among women in worldwide and the second leading cause of cancer-related death. As the corner stone of BC screening, mammography is recognized as one of useful imaging modalities to reduce BC mortality, by virtue of early detection of BC. However, mammography interpretation is inherently subjective assessment, and prone to overdiagnosis. In recent years, artificial intelligence (AI)-Computer Aided Diagnosis (CAD) systems, characterized by embedded deep-learning algorithms, have entered into the field of BC screening as an aid for radiologist, with purpose to optimize conventional CAD system with weakness of hand-crafted features extraction. For now, stand-alone performance of novel AI-CAD tools have demonstrated promising accuracy and efficiency in BC diagnosis, largely attributed to utilization of convolution neural network(CNNs), and some of them have already achieved radiologist-like level. On the other hand, radiologists' performance on BC screening has shown to be enhanced, by leveraging AI-CAD system as decision support tool. As increasing implementation of commercial AI-CAD system, robust evaluation of its usefulness and cost-effectiveness in clinical circumstances should be undertaken in scenarios mimicking real life before broad adoption, like other emerging and promising technologies. This requires to validate AI-CAD systems in BC screening on multiple, diverse and representative datasets and also to estimate the interface between reader and system. This proposed study seeks to investigate the breast cancer diagnostic performance of AI-CAD system used for reading mammograms. In this work, we will employ a commercially available AI-CAD tool based on deep-learning algorithms (IBM Watson Imaging AI Solution) to identify and characterize the suspicious breast lesions on mammograms. The potential cancer lesions can be labeled and their mammographic features and malignancy probability will be automatically reported. After AI post-processing, we shall further carry out statistical analysis to determine the accuracy of AI-CAD system for BC risk prediction.

This pilot trial studies how well a diabetes prevention program with or without hunger training works in helping to lower breast cancer risk in obese participants. A diabetes prevention program involves learning about and receiving materials on different strategies to encourage weight loss, and hunger training involves learning how to recognize hunger. It is not yet known whether adding hunger training to a diabetes prevention program helps participants control their weight that could reduce the risk of some cancers.

This early phase I pilot trial studies how well 64Cu-DOTA-alendronate positron emission tomography (PET) imaging work in localizing and characterizing breast calcifications (small calcium deposits) in participants before undergoing mastectomy. Diagnostic procedures, such 64Cu-DOTA-alendronate PET, may detect calcification and help doctors predict cancer associated calcification within breast tissue.

This study is a randomized, multicenter, multivendor, controlled, diagnostic superiority trial to compare digital breast tomosynthesis plus synthesized 2D mammograms (DBT+s2D) versus standard 2D full-field digital mammography (2D-FFDM) regarding the effectiveness as screening modality.