View clinical trials related to Esophageal Neoplasms.
Filter by:This phase I trial investigates the best dose, possible benefits and/or side effects of BAY 1895344 in combination with FOLFIRI in treating patients with stomach or intestinal cancer that that may have spread from where it first started to nearby tissue, lymph nodes, or distant parts of the body (advanced) or has spread from where it first started (primary site) to other places in the body (metastatic). BAY 1895344 may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth. Chemotherapy drugs, such as irinotecan, fluorouracil, and leucovorin, (called FOLFIRI in short) work in different ways to stop the growth of tumor cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. Giving BAY 1895344 in combination with FOLFIRI may help shrink advanced or metastatic stomach and/or intestinal cancer.
This phase I trial investigates how well pembrolizumab and chemoradiotherapy works in treating patients with gastroesophageal cancer that cannot be removed by surgery (unresectable). Immunotherapy with monoclonal antibodies, such as pembrolizumab, may help the body's immune system attack the cancer, and may interfere with the ability of tumor cells to grow and spread. Chemotherapy drugs, such as fluorouracil, oxaliplatin and docetaxel work in different ways to stop the growth of tumor cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. Radiation therapy uses high energy photons to kill tumor cells and shrink tumors. Giving pembrolizumab together with chemoradiotherapy may help to control gastroesophageal cancer.
This phase II trial investigates how well oral cryotherapy plus acupressure and acupuncture compared with oral cryotherapy alone work in decreasing chemotherapy-induced peripheral neuropathy in patients with gastrointestinal cancer who are receiving oxaliplatin-based chemotherapy. Acupressure is the application of pressure or localized massage to specific sites on the body to control symptoms such as pain or nausea. Acupuncture is the technique of inserting thin needles through the skin at specific points on the body to control pain and other symptoms. Cryotherapy uses cold temperature such as oral ice chips to prevent abnormally increased pain sensation. Giving oral cryotherapy with acupressure and acupuncture may work better in decreasing chemotherapy-induced peripheral neuropathy from oxaliplatin-based chemotherapy in patients with gastrointestinal cancer compared to oral cryotherapy alone.
This study examines at-home monitoring of patient-generated phsyiologic health data and patient-reported outcomes. Patient-generated health data using at-home monitoring devices and smart device applications are used more and more to measure value and quality in cancer care. This trial may show whether at-home monitoring programs can improve the care of patients after hospital discharge from surgery.
This study is being done to see if tucatinib with trastuzumab, ramucirumab and paclitaxel works better than ramucirumab and paclitaxel to treat HER2-positive (HER2+) cancer of the gut (stomach or gastroesophageal cancer). This study will also look at what side effects happen when participants take this combination of drugs. A side effect is anything the drug does other than treating cancer. Study treatment will be given in 28-day cycles. In the Phase 2 part of the trial, participants and their doctors will know what drugs are being given (open-label). In the Phase 3 part, the study is "blinded." This means that participants, their doctor, and the study sponsor will not know which drugs are being given.
This phase I trial identifies the best dose, possible benefits and/or side effects of BAY 1895344 in combination with chemotherapy in treating patients with solid tumors or urothelial cancer that has spread to other places in the body (advanced). BAY 1895344 may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth. Cisplatin and gemcitabine are chemotherapy drugs that stop the growth of tumor cells by killing the cells. Combining BAY 1895344 with chemotherapy treatment (cisplatin, or cisplatin and gemcitabine) may be effective for the treatment of advanced solid tumors, including urothelial cancer.
In esophageal carcinoma, neoadjuvant concurrent chemo-radiotherapy (NA-CCRT) followed by surgery is the current standard of care and ample evidence has accumulated supporting the view that complete pathological response (pCR) is a positive prognostic marker for improved outcomes. Predicting the probability of achieving pCR prior to neoadjuvant treatment could permit modification of treatment protocols for those patients unlikely to achieve pCR. Radiomics is a new entrant in the field of imaging where specific features are derived from the intensity and distribution pattern of pixels based on a region-of-interest (ROI). The features thus extracted can then be used for prediction modelling similar to other -omics datasets. Preliminary investigations examining its utility have been performed and its applications have thus far focused on screening and survival prediction after treatment. Due to the multi-dimensional nature of data extracted using radiomics, Artificial Intelligence (AI) methods are ideally suited for analysing and modelling radiomic features. Machine Learning (ML) and Deep Learning (DL)[utilising Convolutional Neural Networks (CNN)] are both part of the AI framework. In contrast to ML, DL is a new entrant and has been utilised by some medical researchers for modelling using prediction-type algorithms. Besides significantly reducing the workflow associated with Radiomics-based research, feature engineering and modelling using DL are immune to the effects of incorrect ROI delineation. However, the main limitation of DL is the 'blackbox' effect, in which the underlying basis of a CNN is not known. This has been mitigated in part by the visualisation of activation maps directly on the image dataset to prove biological plausibility of predictions. The comparative performance of both types of modelling is also not known. Our objective is to investigate pCR probability in our study population using radiomics-based ML and AI-based modelling. We will also investigate the comparative performance of both modelling techniques. For DL based prediction modelling, we will attempt to provide biological plausibility on the basis of activation maps.
This phase I trial investigates the side effects and best dose of adavosertib and how well it works when given in combination with radiation therapy in treating patients with esophageal or gastroesophageal junction cancer for which no treatment is currently available (incurable). Adavosertib may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth. Radiation therapy uses high energy x-rays to kill tumor cells and shrink tumors. Giving adavosertib together with radiation therapy kill more tumor cells than radiation therapy alone in treating patients with esophageal and gastroesophageal junction cancer.
This is a randomized, double-blind, placebo-controlled Ib/Ⅱ clinical study to evaluate the safety and effect of anti-PD-L1 antibody (ZKAB001) in neoadjuvant chemotherapy of esophageal squamous carcinoma in combination with Alb-paclitaxel and cisplatin. The immunotherapy will be given before and after the operation every three weeks.
This is a randomised, double-blinded, placebo-controlled, multi-center phase III trial, comparing the efficacy and safety of treatment with Camrelizumab (SHR-1210) + definitive chemoradiotherapy(dCRT) vs placebo+dCRT for locally advanced esophageal cancer patients in China. Camrelizumab (SHR-1210) is a humanized anti-PD1 IgG4 monoclonal antibody.