Active clinical trials for "Breast Neoplasms"

The COGNITION diagnostic platform elucidates the biomarker profile of neoadjuvant chemotherapy-resistant residual bulk tumors in high risk early breast cancer patients. The major goal is to provide a framework for genomic profiling, which serves as infrastructure for systematic biomarker-screening and -stratification for concise therapy-arm allocation in the interventional clinical phase II trial COGNITION-GUIDE (NCT05332561). In patients, who display a poor response to standard-of-care neoadjuvant chemotherapy, tissue samples before and after neoadjuvant therapy are subjected together with blood samples to comprehensive genomic profiling to identify patients potentially benefiting from biomarker-guided interventions in COGNITION-GUIDE. Samples not required for standard-of-care clinical procedures or genomic profiling are systematically collected in a dedicated bio-repository to fuel translational scientific companion programs. The continuously growing comprehensive database serves as an integrative resource for systematic, prospective multidimensional data collection (clinical records, biomaterial, genomic data). In summary, the overarching goal is to generate a precision oncology platform i) to identify clinically-actionable biomarkers and drug targets that drive genomics-guided therapies and ii) to couple the observational, diagnostic registry platform to the independent, biomarker-stratified clinical therapy trial COGNITION-GUIDE.

Planned study population consists of approximately 1,000 adult patients with HER2-positive mBC receiving anti-HER2 therapy in about 50 oncological centers (in each center it is expected to recruit about 20 patients) in different regions in order to provide representative study sample. Patients will be included consecutively from the least recent diagnosis (within defined time period). Planned retrospective follow-up period for 1 patient is a period starting from the date of mBC diagnosis until end study or until patient's death, whichever occurs first. End of study will be at least 12 months after the latest date of mBC diagnosis to ensure all patients have the opportunity to contribute at least 12 months of data.

Mammography is a two-dimensional imaging technique which involves the tissues overlapping under the projective image; dense glandular tissue above or below the lesion can reduce the visibility of the lesion. The trouble could be the interpretation of the image obtained which may lead to the inability to visualize a fist stage cancer and the probability that to a healthy person will be diagnosed a pathology that is not present (false positive). The introduction of an almost three-dimensional technique imaging called breast digital tomosynthesis (DBT) can overcome most limitations. In the last 5 years image analysis methods based on Artificial Intelligence (, AI) have also been massively introduced in breast cancer detection. The study is a prospective observational study based on Artificial intelligence whose the mail goal is to develop a method to identify a lesion.

This study is the experimental study for serial ctDNA and exosome evaluation in EBC patients

I this qualitative study, Investigators will conduct semi-structured interviews with clinicians that are involved in the care of patients with breast cancer to evaluate the acceptability, appropriateness, and feasibility/usability of a metastatic breast cancer-specific prognostic tool. These interviews will be conducted by the UNC CHAI Core and will continue until thematic saturation (estimated 10 participants). The investigators will code the qualitative data using emerging themes, guided by a well-established implementation science theory, the Consolidated Framework for Implementation Research (CFIR). The information gained from these studies will inform an implementation approach to increase the usability and acceptability of a novel prognostic tool to assist oncologists in the prognosis of patients with metastatic breast cancer.

Dedicated breast computed tomography (BCT) is being developed as a new x-ray based tomographic breast imaging method for early breast cancer detection and/or diagnosis. BCT results in isotropic high spatial resolution three-dimensional (3D) images coupled with high contrast resolution. It is hypothesized that BCT imaging used as a replacement of the additional mammographic views during diagnostic work-up will improve the accuracy of clinical standard diagnostic work-up.

This is an observational case-control study of tissues collected from women with ER+HER2- breast cancers. The immune environments of these cancers will be compared to triple negative and HER2+ breast cancers. No randomization or changes to standard of care treatment will occur as part of the study.

This is a cross-sectional and retrospective study of a cohort of patients with invasive lobular breast cancer (LBC) or in situ lobular neoplasia (LIN3). The main endpoint is the relative frequency of patients with a germline mutation using a recent panel including 113 genes from the "Illumina" protocol. In case of identification of a novel pathogenetic germline mutations, a personalized follow-up will be offered to each patient (in case of genes at moderate-, low-penetrance), or prophylactic mastectomy (in case of genes at high-penetrance). Breast screening in moderate-, low-penetrance mutated patients should be performed periodically using digital mammography, ultrasound and MRI, and will be routinely observed. Patients will be scheduled for follow-up at six-month intervals for 5 years at our outpatient clinic, and yearly thereafter

In the present study, we propose a mixed methods approach to characterize and address the sexual health needs among women with breast cancer at the time of diagnosis and throughout treatment.

The aim of this study is to explore the quality of life of cancer patients, in particular women operated on breast cancer, throughout their care journey, taking into account their access to supportive oncological care within and outside the establishment care.