Active clinical trials for "Adenocarcinoma"

The decreased Estrogen Receptor beta (ERβ) expression in the non adenomatous mucosa of ApcMin/+ mice favours intestinal neoproliferation. The dietary supplementation with a blend of ERβ agonists and lignin has been shown to recover ERβ to the healthy wild type levels, and a reduced polyp number and lower dysplasia was also observed in the adenomatous mucosa. In this randomised, double blind and placebo controlled study, we assessed if ERβ similarly guides the apoptotic control of cell proliferation in the non adenomatous colon mucosa of patients affected from sporadic adenopolyposis, prone to polyp recurrence. For 60 day in advance of the screening colonoscopy, patients were supplemented with a dietary blend of ERβ agonists and lignin (Eviendep, CM&D Pharma Limited, London, UK) on top their common diet (left unchanged during the study period), to study if the pro-proliferative behavior of the non adenomatous mucosa was effected. Sixty patients naïve from previous and concomitant hormonal or anti-inflammatory CRC chemoprevention were sequentially 1:1 randomised to active or placebo supplementation. ERα and ERβ (mRNA, Western Blotting, Elisa, immunostaining), TUNEL, caspase-3 and Ki-67 (immunostaining) were assessed in bioptic normal colon mucosa samples. Study power: 80%, type 1 error: .05 (two-tails). Statistics: Non parametric Wilcoxon test for efficacy. MANOVA for proliferative and apoptotic biomarkers relationships to the common diet and to the 60 day supplementation.

The goal of this study is to determine the effect of chemotherapy on decreasing the size of unresectable pancreas cancer thereby allowing it to be surgically removed. In addition, this study may provide information on how tumors behave when exposed to certain types of chemotherapy.

Short-term relapse and poor survival are prevalent in patients with pancreatic adenocarcinoma (PAAD) after surgeries. Despite the importance of adjuvant treatments for resected PAAD patients, there is currently no suitable biomarker to identify those individuals with high risk of recurrence and inform therapeutic decision making. In this study, we aim to examine whether postoperative circulating tumor DNA (ctDNA) could be used as a biomarker for early detection of minimal residual disease (MRD) and predicting relapse in resected PAAD through high-depth targeted next-generation sequencing.

a multifactorial model combining radiomics with frozen section analysis is a potential biomarker for assessing Spread Through Air Space during surgery, which can provide decision-making support to therapeutic planning for early-stage lung adenocarcinomas.

A multi-institutional, single arm pilot study of antibiotics and pembrolizumab for the treatment of surgically resectable pancreatic cancer. The primary purpose of this study is to determine the change in immune activation in pancreatic tumor tissue following treatment with antibiotics and pembrolizumab.

Combining genomics and imageomics to predict the sensitivity of neoadjuvant pemetrexed and cisplatin chemotherapy in patients with lung adenocarcinoma

Esophagectomy for benign or malignant disease of the esophagus can be performed using a transhiatal technique or Ivor Lewis technique (combined laparotomy with thoracotomy). These procedures can be associated with significant morbidity and mortality [1]. Advances in minimally invasive technology and surgical techniques have allowed us to explore the possibility of performing esophagectomy using minimally invasive surgical techniques. Minimally invasive esophagectomy represents a new alternative to conventional open esophagectomy. It is a technically demanding operation requiring advanced laparoscopic surgical skills, appropriate instrumentation, and thorough knowledge of open esophagectomy. Multiple authors have reported the use of video-assisted thoracoscopy or laparoscopy to facilitate esophagectomy [2-6]. Most of these reports have utilized a standard laparotomy in combination with thoracoscopy to perform esophageal mobilization or laparoscopy with a mini-laparotomy to perform esophagectomy. DePaula was the first to report a large series of 48 patients undergoing laparoscopic transhiatal esophagectomy for benign (n=24) and malignant disease (n=24) [7]. In 2 patients, conversion to open surgery was required and 2 others required thoracoscopic assistance. Postoperative complications were low in the benign group but higher in the carcinoma group. The 30-day mortality rate was 16% in patients with carcinoma undergoing laparoscopic transhiatal esophagectomy. DePaula concluded that the patients who benefit most from this procedure are those with benign disease. Swanstrom recently reported nine cases of laparoscopic total esophagectomy [8]. There were no conversions to laparotomy. One patient required a right thoracoscopy with intrathoracic anastomosis due to poor viability of the gastric tube. The mean operative time was 6.5 hours with a mean hospital stay of 6.4 days. However, the advantages of minimally invasive esophagectomy have not been observed. The aim of this prospective trial is to evaluate the physiologic outcome, clinical outcome, and quality of life after combined thoracoscopic and laparoscopic esophagectomy vs. transhiatal esophagectomy.

This phase II trial investigates whether magnetic resonance imaging (MRI) using hyperpolarized carbon-13 (13C) pyruvate can be useful for evaluating early treatment response in patients with pancreatic cancer that has spread to nearby tissue or lymph nodes (locally advanced) or spread to other places in the body (metastatic). Hyperpolarized 13C pyruvate is different from standard clinical MRI contrast (e.g. gadolinium) in that it provides information on how a tumor processes nutrients. MRI is used to see tumor uptake and breakdown of hyperpolarized carbon-13 pyruvate molecules, which can tell how the tumor processes nutrients. Hyperpolarized 13C pyruvate MRI may help in understanding how the tumor responds to the treatments patients may be receiving.

This is a single center, case-control, diagnostic study.The aim of this study is to use deep learning methods to retrospectively analyze the imaging data of gastrointestinal endoscopy in Qilu Hospital, and construct an artificial intelligence model based on endoscopic images for detecting and determining the depth of invasion of esophagogastric junctional adenocarcinoma.This study will also compare the established AI model with the diagnostic results of endoscopists to evaluate the clinical auxiliary value of the model for endoscopists.The research includes stages such as data collection and preprocessing, artificial intelligence model development, model testing and evaluation. The gastroscopy image dataset constructed by this research institute mainly includes three modes of endoscopic imaging: white light endoscopy, optical enhancement endoscopy (OE), and narrowband imaging endoscopy (NBI).

To evaluate the performance characteristics of Signal-C™ a plasma circulating free-DNA test, to detect colorectal cancer and advanced precancerous lesions (APL) in an average risk screening population for 45 and over.