View clinical trials related to Cancer.
Filter by:Following radical nephrectomy (RNU) for upper tract urothelial carcinoma (UTUC) most patients face a poor prognosis. Indeed, patients who have undergone RNU for UTUC have 5-year recurrence-free and cancer specific survival probabilities of 69% and 73% respectively. The primary objective of this study is to assess the pathological complete response rate to combination therapy with neoadjuvant durvalumab and chemotherapy (Gemcitabine/Cisplatin) before surgery in patients with high-risk, localized, non-metastatic urothelial carcinomas of the upper tract.
The purpose of this research study is to see if the amount of vitamin D in ones blood makes it more or less likely to develop thyroid gland toxicity when being treated with immunotherapy that blocks the activity of proteins called programed death-1(PD-1) or programmed death ligand-1 (PD-L1). Immunotherapy is treatment that makes changes to the immune system to try to fight cancer. Immunotherapy treatments that block the activity of important parts of the immune system called PD-1 and PD-L1 are used to standardly treat many different types of cancer and can cause thyroid toxicity in certain people. In this study the treatment for your cancer is not research treatment but standard of care determined by your oncologist. Blood will be drawn before starting treatment to determine the amount of Vitamin D and also to assess thyroid function. Also questionnaires will be completed before starting treatment and while on treatment to assess symptoms you are experiencing.
The "simple" analysis of the exome can determine somatic and constitutional mutations. The major challenge lies in the translation of sequencing data into clinically relevant information allowing the clinician to guide his decision-making A "complex" analysis of the exome would provide access to structural DNA data, concerning mutational signatures, tumor mutational load, analysis of large deletions, loss of heterozygosity as well as amplification of certain genes which may have an impact on the management of patients. No data available to date makes it possible to assess the clinical interest of the availability of its additional information resulting from a "complex" analysis compared to a "simple" analysis. The objective of the EXOMA2 study is to assess the proportion of patients for whom the proposed therapy is derived from its additional information (complex analysis) and would not have been possible with a classic exome analysis (simple analysis) . We hereby formulate the hypothesis that a "complex" analysis on a population presenting a metastatic or locally advanced disease treated early (from the 1st line of treatment) will make it possible to determine therapeutic indications which could not be discovered with a "simple" analysis.
Background: The National Cancer Institute, part of the National Institutes of Health, has partnered with nine health care systems across the U.S. to establish the Connect for Cancer Prevention Study. While researchers have made important discoveries, there is more to learn to lower the number of people affected by cancer. By taking part in Connect, participants can help researchers learn how the way we live, our genetics, and our health history may affect cancer risk. Objective: To study and better understand the causes of cancer and to find new ways to prevent it. Eligibility: The study will include 200,000 adults who get their health care from a partner health care system, are between 30 and 70 years old at enrollment, and have never had cancer. People remain eligible to join if they have or once had non-melanoma skin cancer, or a condition that may raise cancer risk (such as ductal carcinoma in situ, or DCIS). Design: Eligible recruits can sign up for Connect online by creating an account on MyConnect using their email address or phone number. After creating an account, they will complete the informed consent process. All information shared through MyConnect is secure to protect participant privacy. After joining the study, participants will be asked to answer online health surveys a few times a year, donate samples of blood, urine, and saliva every two to three years, and safely share access to their electronic health records with Connect. In the future, participants may donate unused samples that are collected at clinical visits, like tissue, stool, or blood, and may mail in samples collected at home. Participants may also share information from personal health trackers, like wearable devices or apps. This information will help researchers study the health and behavior patterns that may affect cancer risk. It takes time to understand the causes of cancer, so Connect will go on for many years. The longer people participate, the more researchers may learn. Participants can leave the study at any time. Learn more about Connect by visiting cancer.gov/connectstudy.
This exploratory study aims to gain insight in gut immune system phenotypes before and after immunotherapy. After informed consent is obtained, sigmoidoscopies at baseline and during treatment with immunotherapy will be performed, During the endoscopies, biopsies from the sigmoid and rectum will be obtained. Subsequent immune cell analyses in these biopsies will be performed. Parallel to the sigmoidoscopies, venous blood samples will be obtained to monitor inflammatory markers.
This is an open-label positron emission tomography/computed tomography (PET/CT) study to investigate the clinical predictive value of 68Ga-ICAM-1pep in metastatic cancer patients receiving radiotherapy. A single dose of 2.96 MBq/kg body weight of 68Ga-ICAM-1pep will be injected intravenously. The visual and semiquantitative methods will be used to assess the PET/CT images.
This is an open-labeled Single-Photon Emission Computed Tomography/Computed Tomography(SPECT/CT) study to investigate the clinical value of 99mTc-MIRC208 in HER2 status measurement of cancer patients. A single dose of 14.8 MBq/kg body weight will be injected intravenously. The whole-body SPECT/CT examination will be performed 2 h post-injection and the visual and semiquantitative methods will be used to assess the SPECT/CT images.
Study of ApricityRx™ for Management of IR-AEs for patients on I-O therapy. Patients currently receiving immunotherapy will be asked to consent to participate in ApricityRx software platform mobile telephone application to report symptoms, view educational content in video form about IO and irAEs and communicate with site study team.
Multicentric prospective study with collection of biological samples as part of type II research
Precision medicine is considered to be one of the major issues in patient care. A lot of research has already proven itself with the implementation of targeted therapies including immunotherapies offering patients improved response and survival rates. But despite these major therapeutic advances, resistance to anti-cancer treatment is a major obstacle in the care of patients. Indeed, to date, many patients die of cancer, 9.6 million deaths worldwide in 2018. Nowadays, improving understanding of the mechanisms of resistance of cancer cells to anti-tumor treatments is therefore a major issue. The great diversity of molecular mechanisms involved in the phenomena of resistance to treatment, whether intrinsic (de novo, or primary) or acquired (secondary), constitutes a real therapeutic challenge. Indeed, a better understanding of the mechanisms of resistance would make it possible to explore new therapeutic strategies making it possible to circumvent these phenomena of escape in different types of cancer. It is in this context that the OncoSNIPE project was developed. The objective of this project is to identify early and / or late markers of resistance to treatment in 3 different pathologies concerned with resistance issues: triple negative breast cancer or Lum B or locally advanced or metastatic non -small-cell lung cancer or pancreatic cancer. In this project, in order to best cover the diversity of mechanisms involved in these resistances, the investigators propose a multidisciplinary approach with clinical, genomic, transcriptomic and immunological dimensions of the pathology through the data collected from 600 patients (200 for each pathology) for 4 years