View clinical trials related to Neoplasms.
Filter by:TransCon TLR7/8 Agonist is an investigational drug being developed for treatment of locally advanced or metastatic solid tumors. This Phase 1/2 study will evaluate TransCon TLR7/8 Agonist as monotherapy or in combination with pembrolizumab in dose escalation and dose expansion. Participants will receive intratumoral (IT) injection of TransCon TLR7/8 Agonist every cycle. The primary objectives are to evaluate safety and tolerability, and define the Maximum Tolerated Dose (MTD) and Recommended Phase 2 Dose (RP2D) of TransCon TLR7/8 Agonist alone or in combination with pembrolizumab.
This phase I trial finds the best dose and side effects of venetoclax in combination with cladribine, cytarabine, granulocyte colony-stimulating factor, and mitoxantrone (CLAG-M) in treating patients with acute myeloid leukemia and high-grade myeloid neoplasms. Venetoclax may stop the growth of cancer cells by blocking Bcl-2, a protein needed for cancer cell survival. Chemotherapy drugs, such as cladribine, cytarabine, and mitoxantrone, 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. Giving venetoclax with CLAG-M may kill more cancer cells.
The reason for this study is to see if the CD73 inhibitor HLX23 alone is safe and effective in participants with advanced solid cancer.
The purpose of this research is to collect data about the MRI cryoablation procedure your doctor(s) would normally perform in order to treat the participants focal prostate cancer and to evaluate the participants condition after the participants treatment is performed. Participants have been asked to take part in this research because the participants have been diagnosed with prostate cancer and scheduled to have an ablation procedure.
This trial evaluates the treatment response of colorectal cancer that has spread to the liver (liver metastases) using intravoxel incoherent motion diffusion weighted imaging (IVIM DWI). IVIM DWI is new kind of imaging scan that may help measure changes in disease before and after chemotherapy in patients with colorectal liver metastases.
This is a phase I study evaluating the safety, tolerability and preliminary efficacy of IBI322 in subjects with hematologic malignancies who have failed standard treatment.
In this study, the safety, tolerability and preliminary effectiveness of GNC-039 in patients with relapsed/refractory or metastatic glioma or other solid tumors will be investigated to assess the dose-limiting toxicity (DLT), maximum tolerated dose (MTD) or maximum administered dose (MAD) for MTD is not reached of GNC-039.
This is a Phase 1, open-label, multicenter, dose escalation and expansion study of the safety, PK, PD, and preliminary anti-tumor activity of IDE397 as a single agent and in combination with other anticancer agents including taxanes (docetaxel, paclitaxel), or sacituzumab govitecan (SG), in adult patients with selected advanced or metastatic MTAP-deleted advanced solid tumors who are unresponsive to standard of care therapy. IDE397 is a small molecule inhibitor of methionine adenosyltransferase 2 alpha (MAT2A).
The study aims to develop a test for early detection of ovarian cancer using DNA from a growth involving the ovary found in a washing of the uterus (womb), and proteins found in the blood. The samples of the wash and the blood will be taken before surgery. After surgery, doctors will determine whether the participant had ovarian cancer or a benign disease of the ovaries. The tests of the washings and the blood will be examined to see how much the participants with ovarian cancer can be separated from the participants with a benign ovarian disease by the tests. Small amounts from the washing and the blood samples will be sent to four sites for analysis. Statistical analyses of these data will compare tumor DNA found in the washing of the uterus with proteins in the blood to detect cases of ovarian cancer. The primary goal is to find tests that are mostly positive for cases of ovarian cancer and mostly negative for patients with benign disease. It is hoped that if the tests work for participants with symptoms of the disease that these tests will also work when testing women who have no symptoms. A new study would be needed to see if the tests worked in this situation. If the tests work, this could lead to increasing the number of cases detected in early stage disease and decreasing the number of cases detected in late stage disease. If this change in late stage is large, it will likely reduce deaths due to ovarian cancer.
The tongue images of malignant tumors and corresponding healthy people will be collected to establish the tongue image database. Deep learning will be carried out by computer and artificial intelligence to construct the early screening, diagnosis, prognosis and prognosis model of various malignant tumors based on tongue image for the diagnosis and treatment of malignant tumors.