Clinical Trials Logo

Digestive Cancer clinical trials

View clinical trials related to Digestive Cancer.

Filter by:

NCT ID: NCT05961111 Recruiting - Breast Cancer Clinical Trials

A Clinical Study on Oncolytic Virus Injection (R130 OV) for the Treatment of Advanced Solid Tumors

Start date: June 24, 2023
Phase: Early Phase 1
Study type: Interventional

20 participants are expected to be enrolled for this open,Single-armed clinical trial to evaluate the safety and efficacy of the recombinant herpes simplex virus Ⅰ, R130 in patients with advanced solid tumors.

NCT ID: NCT05867966 Recruiting - Breast Cancer Clinical Trials

Psychoneurological Symptom Cluster in Oncology

Start date: January 16, 2024
Phase: N/A
Study type: Interventional

A psychoneurological symptom cluster is increasingly documented in oncology. It is composed of cancer-related fatigue, sleep difficulties, pain, emotional distress, and cognitive difficulties. These symptoms are linked by strong but complex relationships, and reinforce each other, negatively impacting patients' quality of life and survival. The configuration of this cluster (i.e., the relationships between the symptoms) seems different according to the cancer diagnosis or moment in the cancer journey. It has however been very little studied. Network analysis is an innovative method that allows a deeper understanding of the interactions between these symptoms. It also allows to compare patterns of clustering between distinct populations or measurement times. Finally, it allows to determine one core symptom in a cluster (i.e., the one with the strongest associations with the other symptoms), which could represent a target of choice for interventions aiming to improve the whole symptom cluster. This innovative project has then two main goals. First, the investigators will assess the evolution of the psychoneurological symptom cluster in two populations of patients with cancer: women with breast cancer, and patients with digestive cancer, over two years. Second, the investigators will test the feasibility and preliminary benefits of a new mind-body group intervention specifically designed to address the core symptom of the cluster, determined with network analysis in each population. As suggested by many authors, the proposed intervention will be based on the common-sense model of self-regulation developed by Leventhal and focus on cognitive-behavioral, self-care and mind-body (i.e., hypnosis) empowering strategies. The aim is to assess the satisfaction of the participants regarding the intervention, as well as its impact on the symptoms involved in the cluster.

NCT ID: NCT05628857 Recruiting - Digestive Cancer Clinical Trials

A Study of RC108-ADC in Subjects With Advanced Digestive System Malignant Tumor

Start date: November 11, 2022
Phase: Phase 2
Study type: Interventional

A multi-center, open-label, study designed to evaluate the preliminary efficacy, safety and pharmacokinetics of RC108 in patients with c-Me-positive advanced digestive system malignancies.

NCT ID: NCT05443087 Recruiting - Clinical trials for Hepatocellular Carcinoma

TARGETed Therapy Drug MONITOring in DIGestive Oncology

TARGETMONITO
Start date: August 29, 2022
Phase: N/A
Study type: Interventional

Targeted therapy drug monitoring in digestive oncology: Dosage of plasma levels of various multikinase inhibitors (MKI) in patients treated for advanced digestive cancer (gastrointestinal stromal tumor (GIST), metastatic colorectal cancer (mCRC), hepatocellular carcinoma (HCC), gastroenteropancreatic neuroendocrine tumor (gepNET), or pancreatic neuroendocrine tumor (pNET)), with the aim of determine the optimal dose adapted for each patient, in the future.

NCT ID: NCT05259488 Completed - Gastric Cancer Clinical Trials

Preoperative Immunonutrition in Laparoscopic Total D2 Gastrectomy

Start date: January 1, 2014
Phase:
Study type: Observational

Immunonutrition (IN) appears to reduce infective complications and in-hospital length of stay (LOS) after gastrointestinal surgery. More specifically, it seems to be beneficial also in gastric cancer surgery. Potential benefits of combining preoperative IN (PIN) with protocols of enhanced recovery after surgery (ERAS) in reducing LOS in laparoscopic total gastrectomy are yet to be determined.

NCT ID: NCT05121038 Recruiting - Colon Cancer Clinical Trials

CEND-1 in Combination With Neoadjuvant FOLFIRINOX With or Without Panitumumab

CENDIFOX
Start date: October 20, 2021
Phase: Phase 1/Phase 2
Study type: Interventional

This is a phase IB/IIA trial to ensure the safety of CEND-1 in combination with with Folfirinox with or without Panitumumab for treatment of pancreatic, colon and appendiceal cancers

NCT ID: NCT04899492 Active, not recruiting - Breast Cancer Clinical Trials

Evaluation of Different Smoking Cessation Protocols: Nicotine Replacement, Motivational Interviewing (MI), Cognitive Behavioural Therapy (CBT) or Hypnotherapy in Cancer Patients Scheduled for Surgery

RESPIRE
Start date: September 29, 2021
Phase: N/A
Study type: Interventional

This trial offers support and assistance to patients wishing to quit smoking in order to increase the success rate of smoking cessation and all the benefits associated with it. Patients will be monitored by a tobacco specialist and will be able to benefit from one or more therapies complementary to Nicotine Replacement Therapy (NRT): Motivational Interviewing (MI), Cognitive Behavioural Therapy (CBT) or Hypnotherapy.

NCT ID: NCT04715581 Recruiting - Surgery Clinical Trials

Multicomponent Prehabilitation and Outcomes in Elderly Patients With Frailty

Start date: November 25, 2021
Phase: N/A
Study type: Interventional

The study is designed to investigate the effect of a multicomponent prehabilitation pathway on early and long-term outcomes in elderly patients with frailty recovering from surgery for digestive cancer.

NCT ID: NCT04709055 Not yet recruiting - Digestive Cancer Clinical Trials

Complex Peri-operative Intervention in Older Patients With Cancer

IMPROVED
Start date: January 14, 2021
Phase: N/A
Study type: Interventional

Incidence of digestive cancers increase and half of new cases will be people of 75 years or more in 2050. Surgery is one of the main treatment's strategy but post-operative morbi-mortality increases with age. Pre-operative Geriatric Assessment enable to identify frail or vulnerable patients at risk of post-operative complications. The coordinating team postulate that a geriatric and surgical co-management with a combination of several targeted geriatric interventions with usual post-operative care could improve the post-operative care and decrease the risk of morbi-mortality in older patients with digestive cancers.

NCT ID: NCT04589884 Terminated - Liver Cancer Clinical Trials

Intraoperative EXamination Using MAChine-learning-based HYperspectral for diagNosis & Autonomous Anatomy Assessment

iEXMachyna3
Start date: September 22, 2020
Phase:
Study type: Observational

The intraoperative recognition of target structures, which need to be preserved or selectively removed, is of paramount importance during surgical procedures. This task relies mainly on the anatomical knowledge and experience of the operator. Misperception of the anatomy can have devastating consequences. Hyperspectral imaging (HSI) represents a promising technology that is able to perform a real-time optical scanning over a large area, providing both spatial and spectral information. HSI is an already established method of objectively classifying image information in a number of scientific fields (e.g. remote sensing). Our group recently employed HSI as intraoperative tool in the porcine model to quantify perfusion of the organs of the gastrointestinal tract against robust biological markers. Results showed that this technology is able to quantify bowel blood supply with a high degree of precision. Hyperspectral signatures have been successfully used, coupled to machine learning algorithms, to discriminate fine anatomical structures such as nerves or ureters intraoperatively (unpublished data). The i-EX-MACHYNA3 study aims at translating the HSI technology in combination with several deep learning algorithms to differentiate among different classes of human tissues (including key anatomical structures such as BD, nerves and ureters).