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Active clinical trials for "Breast Neoplasms"

Results 3161-3170 of 10251

Phase II Neoadjuvant in Inflammatory Breast Cancer

Breast Cancer

The goal of this clinical research study is to learn how well lapatinib taken alone, followed by taking lapatinib with paclitaxel, and then taking lapatinib with 5-fluorouracil, epirubicin, and cyclophosphamide (FEC75) works to help to control Inflammatory Breast Cancer (IBC). The safety of this drug combination will also be studied.

Terminated27 enrollment criteria

Neoadjuvant Treatment of Docetaxel, Anthracycline and Cyclophosphamide (TAC) Versus Docetaxel and...

Breast Cancer

The purpose of this study is to compare the pathological complete response (pCR) rate in triple-negative or Her2 positive breast cancer patients treated with neoadjuvant docetaxel, anthracycline and cyclophosphamide (TAC) or docetaxel and cyclophosphamide (TC) regimen.

Terminated20 enrollment criteria

Hormone Therapy and Combination Chemotherapy Before and After Surgery in Treating Patients With...

Estrogen Receptor-positive Breast CancerHER2-negative Breast Cancer4 more

This phase II trial is studying how well giving hormone therapy together with combination chemotherapy before and after surgery works in treating patients with stage I-IIIA breast cancer. Estrogen can cause the growth of breast cancer cells. Hormone therapy using exemestane and triptorelin pamoate may fight breast cancer by lowering the amount of estrogen the body makes. Drugs used in chemotherapy, such as capecitabine, methotrexate, vinorelbine ditartrate, and paclitaxel, work in different ways to stop the growth of tumor cells, either by killing the cells or by stopping them from dividing. Giving hormone therapy together with combination chemotherapy before surgery may make the tumor smaller and reduce the amount of normal tissue that needs to be removed. Giving these treatments after surgery may kill any tumor cells that remain after surgery

Terminated27 enrollment criteria

Lapatinib in Metastatic Breast Cancer Resistant to Hormone Therapy

Metastatic Breast Cancer

Two thirds or more of breast cancers are dependent on estrogen for growth. We use a number of estrogen-blocking medicines for treatment of metastatic breast cancer. The treatment response to these agents is unpredictable, however, and approximately one-third of patients with metastatic breast cancer with receptors for estrogen or progesterone have no benefit from hormonal therapy. Nearly all patients with metastatic breast cancer will eventually become resistant to hormonal therapy despite the fact that the hormone receptors are still present. Some cells make a different class of growth factor receptor called the Epidermal Growth Factor Receptor. There is a growing body of experimental evidence showing that breast cancer cells that make Epidermal Growth Factor Receptors are more resistant to hormonal therapy and have a poorer prognosis. Several investigators have found that the Epidermal Growth Factor Receptor can activate the estrogen receptor, even in the presence of estrogen-blocking drugs. Growth of these cells can be slowed by blockade of both Epidermal Growth Factor Receptor signaling and estrogen-receptor signaling. Lapatinib is a small molecule which can inhibit two different forms of the Epidermal Growth Factor Receptor. It has been studied in people with a number of different cancers, including breast cancer, and a safe dose and its common side effects have been defined. Our hypothesis is that the Epidermal Growth Factor Receptor is the dominant receptor pathway used by breast cancers in our patients with hormone-resistant tumors. Drugs like lapatinib which block several forms of the Epidermal Growth Factor Receptor would best be able to reverse resistance to hormonal agents.

Terminated22 enrollment criteria

PTK787 + Trastuzumab for HER2 Overexpressing Metastatic Breast Cancer

Breast Cancer

HER2 gene amplification increases VEGF production in breast cancers; combined inhibition of HER2 and VEGF enhances response in xenograft models. The upregulation of VEGF in HER2-overexpressing breast cancers may contribute to the aggressive phenotype observed in HER2-positive breast cancer. New therapeutics targeting VEGF and/or its receptors may enhance the efficacy of trastuzumab monotherapy. This trial will investigate the safety and efficacy of combined HER2 and VEGF inhibition.

Terminated14 enrollment criteria

A Phase III Clinical Trial of PROCRIT (Epoetin Alfa) Versus Placebo in Women Undergoing Adjuvant...

AnemiaBreast Neoplasms4 more

The purpose of this study is to determine whether it is possible to measure temporary difficulty with thinking and/or short-term memory in women who are receiving chemotherapy for early stage breast cancer and to determine whether or not treatment with PROCRIT® will help decrease any problems with thinking or short-term memory that chemotherapy may cause.

Terminated8 enrollment criteria

PTK and Letrozole in Post-menopausal Women With Advanced Breast Cancer

Breast Neoplasms

The purpose of this study is to test the safety of PTK787/ZK222584 and Letrozole when given in combination, and to see what effects they have on breast cancer that has metastasized.

Terminated64 enrollment criteria

Topoisomerase II Alpha Gene Amplification and Protein Overexpression Predicting Efficacy of Epirubicin...

Breast Cancer

prospective evaluation of topoisomerase II alpha gene amplification and protein overexpression as markers predicting the efficacy of epirubicin in the primary treatment of breast cancer patients.

Terminated22 enrollment criteria

A Retrospective Analysis of Magnetic Resonance Imaging Data for Breast Cancer Screening in the Open...

Breast Cancer

ODELIA is a project that aims to improve breast cancer detection in magnetic resonance imaging by utilizing artificial intelligence and swarm learning (MRI). The project will create an open-source swarm learning software framework that will be used to train AI models for breast cancer detection. These models' performance will be compared to that of conventional AI models, and the results will be used to assess the effectiveness of swarm learning in improving the accuracy and robustness of AI models. The project will use retrospective, anonymized breast MRI datasets with manual ground truth labels for cancer presence. The study is not associated with any patient treatment or intervention. The project's goal is to provide evidence of the clinical benefits of swarm learning in the context of breast cancer screening, such as accelerated development, improved performance, and robust generalizability.

Active4 enrollment criteria

The Rechallenge of ADCs in MBC Patients

Breast Cancer

To investigate the efficacy and safety of ADC rechallenge

Active6 enrollment criteria
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