View clinical trials related to Breast Neoplasms.
Filter by:The current study is to evaluate: Overall response rate for the combination of trastuzumab and SU011248 in metastatic or locally recurrent breast cancer; evaluate safety and tolerability of the combination; measure duration of tumor control and survival; assess patient reported outcomes; assess PK in combination with trastuzumab and compare efficacy and safety.
This study will include 60 patients with early breast cancer referred to receive adjuvant chemotherapy with AC ( adriamycin- cyclophosphamide) or CAF ( adriamycin- cyclophosphamide- 5- fluorouracil ) combinations. These patients will receive every day one spoon of Lifemel honey or regular honey ( double blind)- during the adjuvant chemotherapy .Every week a WBC count will be performed in order to record the influence of Lifemel on myelotoxicity.
This study is designed to evaluate the impact of Zometa on clearance of bone marrow micrometastases; the protective effect on chemotherapy-induced loss of bone mineral density; and quality of life in women undergoing treatment for locally advanced breast cancer.
The purpose of this study is to compare the efficacy of Faslodex (fulvestrant) to Nolvadex (tamoxifen) as first-line treatment for postmenopausal women with advanced breast cancer. Patients will be treated until disease progression or until the investigator has determined that treatment is not in the best interest of the patient, whichever occurs first.
The course of the disease in female patients with metastatic mammary carcinoma can vary greatly. In this connection, the individual prognosis depends on a complex interaction of tumor- and patient-related factors. To take account of such differences, it is necessary to employ individual methods of treatment which are suited to the course of each patient's disease. Prof. Possinger and Dr. Schmid (Charite Berlin) and Prof. Wischnewsky (University of Bremen) have developed an approach that can help to achieve this goal with the aid of computerized machine learning techniques (MLT). The use of machine learning methods can be beneficial in oncology in two respects. On the one hand, an attempt can be made to individually estimate clinically relevant parameters like, for example, the recurrence probability or expected survival time as precisely as possible based on the established prognostic factors. And on the other hand, it may be possible with the aid of MLT to understand structural relationships between the clinical result and measured or established tumor-/patient-related variables. To analyze the possible benefits of machine learning techniques for patients with metastatic breast cancer, the aim of study FEM-D-2 is to investigate whether it is possible to characterize those patients who either do or do not respond to a specific treatment with a precision of 90%, prospectively estimate the time until worsening of the disease under a given treatment, and classify patients in groups with favorable and poor chances of medium-term survival. The use of inductive learning algorithms with machine learning also makes it possible to very accurately estimate the time until progression of the tumor growth. In patients who respond to letrozole therapy, the time until tumor progression depends on factors like pain, age, body mass index, disease-free interval, main localization of metastatic spread, and response to previous estrogen therapy. Only very minimal differences are found when comparing the actual time until progression of the disease and that calculated by the system (at least for survival times < 1 year). Furthermore, using machine learning techniques it has become possible to use initial data assessed before a letrozole treatment to estimate the survival time and distinguish patients with a high risk of dying soon from other patients with a more favorable prognosis.
The purpose of this study is to determine if acquired hormone therapy resistance can be reversed by Avastin (Bevacizumab), as measured by time to disease progression and evaluate toxicity of the combination of hormone treatment plus Avastin (Bevacizumab).
The aim of the study is to estimate the effect of preoperative gefitinib on the complete pathological response rate in primary estrogen receptor negative breast cancer at the time of surgery.
RATIONALE: Chemoprevention is the use of certain drugs to keep cancer from forming, growing, or coming back. The use of letrozole may stop cancer from forming or coming back in postmenopausal women who are at increased risk for breast cancer due to high breast density. PURPOSE: This randomized phase II trial is studying how well letrozole works in preventing breast cancer in postmenopausal women who are at increased risk for breast cancer due to high breast density.
RATIONALE: Monoclonal antibodies, such as trastuzumab, can block tumor growth in different ways. Some block the ability of tumor cells to grow and spread. Others find tumor cells and help kill them or carry tumor-killing substances to them. Estrogen can cause the growth of breast cancer cells. Hormone therapy using letrozole may fight breast cancer by lowering the amount of estrogen the body makes. Giving trastuzumab together with letrozole after disease progression may be an effective treatment for breast cancer. PURPOSE: This phase II trial is studying how well giving trastuzumab together with letrozole works in treating postmenopausal women with progressive advanced breast cancer.
RATIONALE: Drugs used in chemotherapy, such as doxorubicin hydrochloride liposome, work in different ways to stop the growth of cancer cells, either by killing the cells or by stopping them from dividing. Bortezomib may stop the growth of cancer cells by blocking some of the enzymes needed for cell growth. Giving doxorubicin hydrochloride liposome together with bortezomib may kill more cancer cells. PURPOSE: This phase I/II trial is studying the side effects and best dose of bortezomib when given together with doxorubicin hydrochloride liposome and to see how well they work in treating patients with refractory hematologic cancer or malignant solid tumor or metastatic breast cancer.