Aredia

Recent research has shown that, among women with extremely dense breasts and normal results on mammogram, magnetic resonance imaging (MRI) use has significantly reduced the occurrence of breast cancer that is diagnosed during the time between two regular screening mammograms (also known as interval cancers). The investigators have developed and validated an approach to use the whole mammogram image, develop a mammogram risk score (MRS), and calibrate this to the SEER breast cancer incidence rates for US women. This model (Prognosia Breast) generates an absolute 5-year risk of breast cancer and classifies approximately 5.7% of the population as high risk using the ASCO 3% cut point as used for endocrine therapy to reduce risk. Follow-up generates an incidence of 25.2 cases per 1,000 women per year.

Background: Breast cancer is the most common cancer in US women. There are different types of breast cancers; some are aggressive and difficult to treat. Researchers want to know if an algorithm (ENLIGHT) can help choose approved drugs that will treat these cancers more effectively. Objective: To test whether ENLIGHT can find better treatments for aggressive breast cancers. Eligibility: People aged 18 years and older with triple-negative or endocrine therapy resistant breast cancer; the cancer must have either failed to respond to treatment or come back after treatment. Design: Participants will be screened. A sample of tissue taken from the tumor will be tested using ENLIGHT as well as another method (TruSight Oncology 500). Participants will be assigned to 1 of 3 groups based on the algorithm search results: Group 1: No drug option was recommended. Participants will continue with their standard treatment with their local doctors. Group 2: A drug already approved for the participant's disease was recommended, but the participant has not yet received it. These results will be sent to the participant's local doctors. Participants may return to the NIH if their disease gets worse after using the suggested drugs. Group 3: A drug approved for other uses was recommended. Participants will be treated with the recommended drugs at the NIH; their care will be managed by an NIH doctor. They will continue to receive treatment as long as the drugs are helping them. They will have follow-up visits for 2 years after treatment ends. Participants who are not treated at the NIH will be contacted for a check on their health every 3 months for 2 years.

In this study, patients who are scheduled for breast reconstruction consultation will be randomized into the intervention group (ChatGPT-generated patient education regarding possible reconstruction options) or the control group (usual patient education). All patients will complete a survey following their in-person consultation to assess their experience and overall satisfaction with the consultation process. Additionally, participating surgeons will complete a separate survey to evaluate their consultation experience, satisfaction, and to assess the accuracy and clinical utility of the ChatGPT-generated patient education materials. The surveys are designed to gather information on patient characteristics, organizational health literacy according to Brega et al. Other survey questions have been designed to meet the outcomes of this study and have not been based on previously published surveys.

EXCEL will provide online and, where feasible, in-person exercise programs to individuals living with and beyond cancer (ILWBC). Research has shown that targeted programs that include tailored exercise prescriptions are more successful in helping individuals with chronic disease to incorporate physical activity and exercise into their daily routines. While ILWBC are advised by healthcare professionals (HCPs) to engage in exercise, there is a lack of cancer-specific exercise programs and cancer-trained exercise specialists in Canada, outside of the research setting. Considering the negative impact cancer and its treatments have on fitness and physical activity levels, community-based efforts towards improving access, uptake and maintenance of exercise programming are needed. This study will evaluate the benefits of a community-based or online EXCEL exercise program for people living with and beyond cancer across Canada, using a streamlined intake process compared to the original EXCEL Study (HREBA.CC-20-0098, NCT04478851). This 8 to 12-week program (intervention) will be delivered in-person or over virtual platform. It includes twice weekly supervised exercise classes.

Up to 80% of breast cancer survivors experience chemotherapy-induced neuropathy that impairs quality of life and increases fall risk long into survivorship, yet treatment options for neuropathy remain limited. The successful treatment will target neurophysiologic mechanisms for restoring function while addressing patient-reported symptoms and participation in treatment. Toward this end, the investigators propose to study a noninvasive, social sensorimotor intervention - Adapted Argentine Tango - which targets motor control restoration, symptom alleviation, and treatment participation in concert.

This trial aims to asses if tirzepatide-induced weight loss will lead to metabolic and hormonal changes in hormone receptor-positive (HR+), human epidermal growth factor receptor-negative (HER2-), node-positive (N+) high risk early breast cancer patients with obesity or overweight, inhibiting the growth and survival of micrometastatic disease and leading to clearance of tumor-informed circulating tumor DNA (ctDNA) and freedom from the development of metastatic disease.

This is a single institution phase II randomized study evaluating the potential benefits of a supplement, tart cherry juice at high- versus low-doses, to prevent taxane induced peripheral neuropathy in breast and ovarian cancer patients undergoing paclitaxel chemotherapy. Eligible participants enrolled onto the study will be block randomized in a 1:1 allocation to either the tart cherry juice high-dose group (Arm 1) or the tart cherry juice low-dose group (Arm 2).

This study is funded by the HEAL Initiative (https://heal.nih.gov/). Based on Preliminary Studies (PSs), the research team developed and pilot-tested an evidence-based Web App-based information and coaching/support program for cancer pain management (CAPA) that was culturally tailored to Asian American breast cancer survivors using multiple unique features. However, CAPA rarely considered depressive symptoms accompanying pain in its design or components, and PSs indicated the necessity of further individualization of the intervention components of CAPA due to diversities in the needs of ABD. The purpose of the proposed 2-phase study is to further develop CAPA with additional components for ABD and the individual optimization functionality (CAI) and to test the efficacy of CAI in improving cancer pain experience of ABD. The specific aims are to: a) develop and evaluate CAI through an expert review and a usability test (R61 phase); b) determine whether the intervention group (that uses CAI and usual care) will show significantly greater improvements than the active control group (that uses CAPA and usual care) in primary outcomes (cancer pain management and cancer pain experience including depressive symptoms) from baseline to post 1-month and post 3-months; c) identify theory-based variables (attitudes, self-efficacy, perceived barriers, and social influences) that mediate the intervention effects of CAI on the primary outcomes; and d) determine whether the effects of CAI on the primary outcomes are moderated by selected background, disease, genetic, and situational factors. This study is guided by the Bandura's Theory and the stress and coping framework by Lazarus and Folkman. The R61 phase includes: (a) the intervention development process, (b) a usability test among 15 ABD, 15 family members, and 15 community gatekeepers; and (c) an expert review among 10 experts in oncology. The R33 phase adopts a randomized repeated measures control group design among 300 ABD. Long-term goals are: (a) to extend and test CAI in various healthcare settings with diverse subgroups of ABD, (b) examine the costeffectiveness, sustainability, and scalability of CAI in the settings, and (c) translate CAI into health care for ABD.

This study aims to utilize a novel biomarker-driven approach to guide neoadjuvant treatment selection. It is the hypothesis that this will improve clinical response for postmenopausal women with clinical stage II/III ER-positive, HER2-negative breast cancer and identify those who may not require neoadjuvant chemotherapy, with a primary focus on outcomes in Black patients.

The purpose of this study is to assess the feasibility, acceptability, and preliminary effects of a digital (web and mobile-phone-based) program to improve lifestyle behaviors (physical activity, dietary intake) among Hispanic female cancer survivors and adult daughters.

This trial tests a new pill that blocks an enzyme to help treat adults with a hard-to-treat type of blood cancer. The goal is to see if it is safe and effective.

This mixed methods study evaluates the effectiveness of an organizational intervention to enhance implementation of strategies to increase breast cancer survivorship symptom and risk management.