Oncology (Medical)

Below are current clinical trials.

Filter this list of studies by location, status and more.

1. 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.

2. A Study to Evaluate the Safety of the Goldilocks Procedure with Implant-Based Reconstruction

   Rochester, Minn., Jacksonville, Fla., Scottsdale/Phoenix, Ariz.

   The purpose of this study is to assess outcomes, satisfaction and aesthetics of two different breast reconstruction techniques (Goldilocks alone, and Goldilocks with Implant-Based Reconstruction) and compare its safety, patient satisfaction, aesthetic evaluation and complications.

3. IL-2 plus FOLFOX and Nivolumab for Treatment of Peritoneal Metastases

   Rochester, Minn.

   The purpose of this study is to evaluate the reduction in the peritoneal carcinomatosis index (PCI) after completion of the study treatment.

4. Outcomes Database to prospectivelY aSSEss the Changing TherapY Landscape in Renal Cell Carcinoma (ODYSSEY RCC)

   Rochester, Minn.

   The purpose of this study is to determine distinct patterns of change in the quality of life and symptom burden in mRCC patients receiving therapy.

5. A Study of Endometrial Cancer Testing With Vaginal and Endometrial Cell Samples

   Rochester, Minn., Jacksonville, Fla., Scottsdale/Phoenix, Ariz.

   The purpose of this study is to collect vaginal and endometrial cell samples to study endometrial cancer.

6. 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.  

7. Effects of Cognitive Function, Post-op Fatigue and Quality of Life Comparing General vs Regional Anesthesia for Non-eloquent Brain Tumors Resection

   Jacksonville, Fla.

   The aim of the study is to create a registry to prospectively collect pre-operative, during surgery and post-operative data, questionaries will assess (at baseline before the surgery, 3-4 weeks, and at 3-6 months) cognitive function, assessed with a Mini-mental State Examination (MMSE), PROMIS Fatigue 7a form, quality of life (QoL), assessed using the SF-12 questionnaire, quality of sleep assessed using PROMIS Sleep disturbance 7a form (1 week after surgery).

8. 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.

9. Testing the Addition of Duvelisib or CC-486 to the Usual Treatment for Peripheral T-Cell Lymphoma

   Rochester, Minn.

   The purpose of this study is to evaluate the effect of duvelisib or CC-486 and usual chemotherapy consisting of cyclophosphamide, doxorubicin, vincristine, etoposide, and prednisone in treating patients with peripheral T-cell lymphoma. Duvelisib may stop the growth of cancer cells by blocking some of the enzymes needed for cell growth. Chemotherapy drugs, such as CC-486, cyclophosphamide, doxorubicin, vincristine, etoposide and prednisone, work in different ways to stop the growth of cancer cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. This trial may help find out if this approach is better or worse than the usual approach for treating peripheral T-cell lymphoma.

10. 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.