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This pilot study aims to estimate rates of genetic testing in patients with ovarian and endometrial cancer before and after the implementation of educational videos about genetic testing. Subjects will be asked to view one of three videos relevant to their cancer diagnosis and genetic testing, and have the option to complete a brief satisfaction survey. A chart review to evaluate rates of genetic testing ordered and referrals placed to Genetics before and after the implementation of the videos will be conducted. Up to 15-20% of ovarian cancer and 3-5% of endometrial cancer is due to inherited genetic mutation. Given this association, the National Comprehensive Cancer Network (NCCN) recommends genetic counseling and testing for all individuals with a diagnosis of ovarian cancer and endometrial cancer. Some challenges to obtaining genetic counseling and testing include missed identification and referral of eligible patients by providers, lack of provider knowledge, and busy clinic visits limiting time for informed consent and maintaining patient autonomy for genetic testing. Although heterogeneous, the literature supports multimedia use in cancer genetics. However, there is a paucity of data in the field of gynecologic oncology for the role of integrating a multimedia approach to genetic counseling.
This clinical trial tests whether various web-based tools can help improve communication about hereditary cancer risk in families and decrease barriers to genetic testing for relatives of patients with hereditary cancer syndromes. Between 5% and 10% of all cancers are caused by genetic changes that are hereditary, which means that they run in families. Some kinds of cancer or certain cancers diagnosed in biological relatives may mean patients are more likely to have a genetic change. Once a genetic change is identified in a family, other biological relatives can choose to undergo testing themselves to better understand their cancer risk. The uptake of genetic testing in other biological relatives once a genetic condition is identified is about 20% to 30%. The Cascade Genetic Testing Platform is a virtual tool that seeks to overcome barriers related to logistics of family communication and improve dissemination of genetic testing information which is clinically actionable for individuals at highest risk for cancer. Using the Cascade Genetic Testing Platform may improve ways to share information about hereditary risk with biological relatives.
The purpose of this research study is to see if offering genetic testing for cancer-related genes is feasible and acceptable for patients presenting for gynecology clinic visits, instead of needing to see specialized providers or needing to meet specific criteria. The primary aim to assess the proportion of patients who undergo genetic testing, and the proportion of patients with pathogenic variants.
Genomic research has shown that a portion of leiomyosarcomas can be attributed to an underlying cancer predisposition syndrome. However, the optimal approach for incorporating germline testing into the care of these patients. This study is assessing the beliefs about the heritability of leiomyosarcoma and other cancer risks, and attitudes towards germline testing among leiomyosarcoma patients.
This clinical trial is studying the genetic changes in cells associated with different types of cancer in Indigenous American (IA) populations in the Southwest to improve cancer screening, precision prevention, and therapeutic intervention for individual in these communities. IA tribes have much lower rates of cancer screening, have more limited access to healthcare, are more often diagnosed at later stages of disease, and have the poorest outcomes in all types of cancer when compared to any other racial and ethnic group in the United States. Due to these significant cancer health disparities, IAs have been understudied and little is known about the molecular characterization of tumors arising in IAs. Undergoing genetic testing of tumors may improve cancer outcomes in IA participants and communities.
Genetic factors are a significant determinant of the likelihood of developing various types of cancers. Identification of germline risk can have important implications for both patients and their families. Although estimates vary, pathogenic germline variants can be seen in \~3-17.5% of unselected patients with cancer with important clinical significance. Unfortunately, despite progress in multigene testing and the identification of heritable conditions, genetic counseling and testing (GCT) remains underutilized among cancer patients. Although there are multiple barriers to low testing, initial referral to GCT from the treating oncologist has been noted to be the most significant barrier. Nurse navigation has been shown to improve the timeliness of cancer care and patient outcomes across various cancer types and improve the uptake of genomic testing in cancer patients. Despite proven benefits, community cancer centers often face resource limitations that prevent them from consistently assigning a dedicated nurse navigator to cancer patients. However, community centers universally have oncology nurses who routinely educate patients about their systemic therapies. By enhancing the "therapy education" sessions, the investigators hypothesize that oncology nurses can bridge this gap and potentially identify eligible patients, provide essential education on the importance of genetic testing, and facilitate the referral process. The investigators propose a pilot randomized study to evaluate the potential effectiveness, acceptability, and feasibility of a novel, nurse-led "enhanced education" intervention specifically designed to increase the uptake of GCT in adult cancer patients.
This study compares the experiences of people who receive information about genetic testing from a computer-generated character to patients who receive information from a human genetics healthcare provider. Patients with cancer are increasingly recommended for genetic testing as standard of care. Multiple factors contribute to low usage of genetic testing but for many patients the lack of access to genetic counseling and testing is an important and flexible factor. Lack of access is especially relevant to racial/ethnic minority patients and those living in non-metropolitan rural settings who are frequently cared for at safety-net hospitals with limited genetics services. Alternative delivery models are necessary to improve rates of access to genetic testing in patients with cancer. Health information technology is under used by genetics providers. A patient-facing relational agent (PERLA) will provide pre-test genetics education in both English and Spanish across two clinical settings to facilitate more timely access to genetic testing. Using the PERLA intervention may help researchers learn different ways to provide education about genetic testing to patients with cancer compared to usual care.
The goal of this observational study is to discern if there is a relationship between timelapse imagery of human oocytes/embryos and PGT results. Embryos of patients that are undergoing PGT will be placed into a timelapse incubator. The data obtained by the timelapse incubator will be used in conjunction with the PGT data to determine any relationships.
The goal of this study is to ensure that pregnant patients have the resources and support needed to access Prenatal Screening \& Diagnostic Testing (PS\&D) in an informed and evidence-based fashion by developing an innovative digital tool to support patients' decision-making and contributing fundamental knowledge to advance science in a way that promotes patients' access to new prenatal applications of genomic science and technology. Our central hypothesis is that, by focusing on patient engagement as a key driver to improve patient outcomes, the use of an evidence-based artificial-intelligence (AI) powered patient engagement tool will increase patients' ability to seek information and structure a decision-making process that, in turn, increases informed decisions about PS\&D and decreases decisional conflict associated with those decisions. Using data from NEST (Ensuring Patients Informed Access to NIPT \[non-invasive prenatal testing\]), the investigators designed the next iteration of NEST, a point-of care shared decision-making tool powered by artificial intelligence (AI) to provide a personalized and dynamic decision support tool: Obstetric Prenatal Genetic Testing Engagement Solution (OPUS). OPUS is an AI-enabled healthcare chatbot (a computer program capable of processing and simulating human conversation) that provides patients with personalized information and decision-making support at different stages of the PS\&D pathway. It functions using a series of questions contained in the NEST with a branching logic sequence of questions and answers based on the responses to and from the patient, using a conversational and adaptable interaction. It also contains nested tiers of information, ranging from introductory to detailed information about patient engagement, health literacy, the different PS\&D options, and resources to learn about insurance coverage for PS\&D. OPUS was designed to be accessed by patients with different technological resources and preferences, using a cell phone, a mobile device, or a computer.
The GETSET trial is a prospective randomized trial designed to evaluate the clinical outcomes of incorporating preimplantation genetic testing for aneuploidies (PGT-A) in elective single embryo transfer in women between 35 and 40 years of age.