Clinical Trials A continuación, se enumeran los ensayos clínicos actuales.486 estudios en Cancer (solo estudios abiertos). Filtra esta lista de estudios por sede, estado, etc. Establishment of Preclinical Models from Patients with Gynecological Malignancies Rochester, Minn., Scottsdale/Phoenix, Ariz. Effective treatments for recurrent gynecological cancer are lacking, and there is a need for novel therapeutic options. One of the barriers to improving outcomes in this subgroup of patients is the paucity of tumor models that can mimic patient characteristics to study novel therapies. Patient-derived xenograft (PDX) models are considerate the most representative pre-clinical model of human cancer, recapitulating the key characteristics of the original patient tumor. Other preclincal models to test drug effcicacy includes ex vivo 3D culture and 2D culture systems. In this study, we make and test preclinical models of gynecological cancers (ovarian, fallopian tube, peritoneal, uterine, vulvar, cervix, and vaginal) of any histologic subtype using surplus tumor specimens obtained at the time of routine tumor biopsy procedure, or clinically-indicated surgery. Hypo-fractionated Proton Radiation Therapy With or Without Androgen Suppression for Intermediate Risk Prostate Cancer Scottsdale/Phoenix, Ariz. The purpose of this study is to compare the effects, good and/or bad of two treatment methods on subjects and their cancer. Proton beam radiation therapy is one of the treatments for men with prostate cancer who have localized disease. The benefit of the combination with androgen suppression is not completely understood. This study will compare the use of hypofraction proton therapy (28 treatments) alone to proton therapy with androgen suppression therapy. A Study to Evaluate the Feasibility of Intraoperative Microdialysis (tissue sampling) during Neurosurgery for Central Nervous System Malignancies Rochester, Minn. Intraoperative Microdialysis During Neurosurgery for Central Nervous System Malignancies A Study to Assess Pre-analytical Factors Affecting ctDNA Analysis in Early and Locally-advanced Breast Cancer Scottsdale/Phoenix, Ariz. The purpose of this study is to evaluate the impact of blood collection tube type and processing methods on ctDNA, evaluate the impact of long-term storage of plasma and extracted DNA, and evaluate ctDNA levels at baseline and during treatment for patients with Stage I-III breast cancer. A Study to Compare Stereotactic Radiosurgery to Hippocampal-Avoidant Whole Brain Radiotherapy Rochester, Minn., Jacksonville, Fla. The purpose of this study is to compare stereotactic radiosurgery (SRS) to whole brain radiotherapy (WBRT) in patients with 5 or more brain metastases. ALPN-202 With PD-1 Inhibition in Advanced Malignancies Rochester, Minn., Scottsdale/Phoenix, Ariz., Jacksonville, Fla. The purpose of this study is to evaluate ALPN-202 with PD-1 inhibition to treat adults with advanced solid tumors or lymphoma. A Study to Assess Dynamic Changes in Plasma Proteome to Identify Early Detection and Treatment Response Biomarkers for HGSOC Rochester, Minn. This study aims to identify candidate High Grade Serous Cancer (HGSC) early detection and chemotherapy treatment response biomarkers. For the purpose of this study we define high grade serous cancers to include invasive cancers arising in the ovary and/or fallopian tubes (FT). Using mass spectrometry we will deeply profile and quantitate dynamic changes in the plasma proteome and N-gylcocapture sub-proteome that occur as a consequence of surgical debulking and platinum-based chemotherapy. A Study to Evaluate Personalized Molecular Marker and Immunoprofiling to Transform Hepatocellular Carcinoma Treatment Jacksonville, Fla. The purpose of this study is to evaluate whether profiling aggressive tumors for molecular alterations, together with drug testing in patient-derived 3D models, can provide crucial information for the identification of specific therapeutic targets. Additionally, immunoprofiling of microcancer model systems is crucially necessary data to enable prediction of immunotherapeutic efficacy. We postulate that our innovative approach will establish much needed immune microenvironment information and facilitate the identification of specific sensitivity profiles and biomarker signatures that correlate response to targeted agents (or combinations) with particular tumor profiles. A Study to See if the Depth of Tumor Invasion of Esophageal Carcinoma Predicts Lymph Node Involvement and Cancer Free Survival Rochester, Minn. The purpose of this study is to see if different depths of submucosal tumor invasion in esophageal cancer can predict lymph node involvement and survival. Patient Derived Preclinical Models Rochester, Minn. The objective of this study is to collect tumor specimens (tumor tissues, matched normal tissue when possible, and 50 mL of blood) that may inform cancer biology to eventually improve outcomes for patients with cancer. Additionally, relevant specimens that were previously collected under an IRB approved protocol (13-000942), will be used with approval of the PI of that protocol and patient consent for participation in this protocol. The collected tissue specimens will be used to develop preclinical models; i.e., cell lines, patient derived micro-cancer models as well as patient-derived xenograft models. In this study we may profile tumors using genomic and/or proteomic approaches to identify targetable alterations in tumor tissue from patients. To assure that the derived cell lines and micro-cancer models have not been cross contaminated during development with other models in development, DNA sequencing may be used. Using these preclinical models, we will test new therapies in vitro, or in vivo in mice in order to identify novel therapeutics as well as interrogate genes for their role in tumor biology. Guidance for molecular targeted therapy will involve gene analysis of oncogenes and tumor suppressor genes. Results from these studies may provide the rationale for the design of future novel clinical trials. The evaluation of these preclinical models may lead to predictive value related to patient response to therapy as well as clinical trials. With consent, these models may be shared with other investigators internal or external to Mayo Clinic. 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