Active clinical trials for "Esophageal Neoplasms"

Current therapies for Adenocarcinoma of the Esophagus provide limited benefit to the patient. The anti-cancer properties of Antineoplaston therapy suggest that it may prove beneficial in the treatment of Adenocarcinoma of the Esophagus. PURPOSE: This study is being performed to determine the effects (good and bad) that Antineoplaston therapy has on patients with Adenocarcinoma of the Esophagus.

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 randomized phase II trial studies how well regorafenib works in treating patients with cancer of the esophagus or gastroesophageal junction that has spread from where it started to nearby tissue or lymph nodes and have completed chemoradiation therapy and surgery. Regorafenib may stop the growth of tumor cells by blocking some of the enzymes needed for cell growth.

If surgery remains the main treatment for gastric cancer without distant metastases; perioperative-chemotherapy increased the likelihood of progression free survival. Perioperative chemotherapy appears to have many advantages : to reduce the tumor volume, to improve the R0 resection rate, and to act on micro-metastases. Therefore, peri-operative chemotherapy combining cisplatin, epirubicin and 5-Fluorouracile is a validated strategy to treat gastric cancer. However, several pitfalls remained. Particularly, only 42% of patients could received post-chemotherapy, due to post-operative complications and toxicities. To overcome this limitation, the investigators will conduct a phase II clinical trial assessing the clinical interest of a dose-dense preoperative chemotherapy combining cisplatin (P), epirubicin (E) and paclitaxel (T). The increasing evidence of taxane's role in gastric cancer treatment, as well as the biological synergisms reported in paclitaxel/cisplatin and paclitaxel/epirubicin combinations, sustain the development of dose density based on PET combination in gastric carcinoma. The aim of the IPEC-GC study is to evaluate the effectiveness of this PET preoperative regimen

Investigator will assign 53 patients who had been histologically proven localized squamous cell carcinoma of esophagus to receive the induction chemotherapy regimen of ND-420 50 mg/m2 on day 1, cisplatin 70 mg/m2 on day1, plus fluorouracil 700 mg/m2 daily, day1 to day4, every 3 weeks for 2 cycles and then followed by surgical resection. The successful rate of complete treatment per protocol and complete resection will be the primary variant to evaluate in our study.

This study aims to evaluate the acceptability of a new non-invasive screening device to test for Barrett's esophagus. The investigators will prospectively enroll 100 patients to undergo Cytosponge testing. The time of involvement for an individual will range from 2 weeks to 2 months, depending on the results of the Cytosponge test and time to follow up endoscopy, if indicated.

This is a perspective, multicenter,single arm, open label study to evaluate the efficacy and safety of treatment with CMNa combined with preoperatie concurrent chemoradiotherapy in patients with locally advanced squamous cell esophageal carcinoma . Analyses of primary objective (pathologic Complete Response) will be done as defined in the protocol.

This randomized pilot clinical trial studies health care coach support in reducing acute care use and cost in patients with cancer. Health care coach support may help cancer patients to make decisions about their care that matches what is important to them with symptom management.

RATIONALE: Gathering information about genes, cigarette smoking, and diet may help doctors learn more about risk factors that may cause esophageal cancer. PURPOSE: This clinical trial is studying genetic and environmental risk factors related to esophageal cancer.

This study is proposed to evaluate the efficacy and safety of temozolomide, an oral anti-cancer agent, in a participant population selected for a biomarker. Participants with colorectal cancer, non-small-cell lung cancer, head and neck cancer, or esophageal cancer will be included.