View clinical trials related to Colon Cancer.
Filter by:In order to improve and individualize cancer treatment personalized treatments developed much further. Colon cancer is treated with surgery and thereafter adjuvant oncological treatment. The selection of chemotherapy is today mainly done according to best guess. Today only a small fraction of oncological treatment may be known to be effective in a person before treatment start, most often it is trial and error. A fast reliable system for looking at response to different treatments in each unique patient is much needed and would, if successful, completely change the way we give oncological treatment today. This system would also be possible to use to evaluate new treatments and if successful, implement in the clinical setting. In this project we will implant a part of the patient's tumour tissue into a zebrafish embryo and evaluate tumour growth and frequency of metastatic disease as well as response to given oncological treatment. 2.2 Objective: The objective of this project is to explore the usefulness of zebrafish (Danio Rerio) embryo models to determine tumor biology and treatment response in colon cancer. An overarching goal would be, before start of any oncological treatment in a patient, to have evaluated the response of oncological treatment in the zebrafish avatar and only treat with a combination of drugs known to have effect against the patient's own tumour. 2.3 Study design: This protocol describes a series of prospective studies in different cohorts of patients with colon cancer to investigate the applicability of zebrafish embryo models. The common denominator of the sub-studies is prospective collection of tumor tissue implanted in zebrafish embryos in order to evaluate if the model is robust enough for growing colon cancer tissue and evaluate growth pattern and response to chemotherapy. This study protocol is designed according to and in adherence with the SPIRIT guidelines. 2.4 Intervention: In all sub-studies the intervention is inoculation of tumor cells in zebrafish embryos followed by observation of tumor behavior and testing of treatments.
This project will examine the outstanding statistical techniques for predicting the survival of patients with colorectal cancer (CRC) (colorectal neoplasia database). The motivating clinical question that led to proposing this project is based on the general assumption that: "Right-sided colorectal cancer (CRC) has worse survival than left-sided CRC." The question is, which aspects of the patient's characteristics are responsible for this difference? This led us to BMA model selection and provide a clinician-friendly online nomogram.
This research study is being conducted to improve the quality of care of participants who have a diagnosis of gastrointestinal cancer (anal, colon, rectal, esophageal, stomach, small bowel, appendix, pancreas, gall bladder, liver, neuroendocrine tumor of gastrointestinal origin). This study has 3 components as follows- 1. Ensuring appropriate biomarker testing and evidence-based care: Biomarkers are molecules in the tumor or blood that indicate normal or abnormal processes in participant's body and may indicate an underlying condition or disease. Various molecules, such as DNA (genes), proteins, or hormones, can serve as biomarkers since they all indicate something about participant's health. Biomarker testing can also help choose participant's treatment. Additionally, a tumor board will be conducted periodically to provide treatment recommendations to participant's treating physician. Participants will receive standard-of-care treatment if participant enroll in this study. Participant will not receive any experimental treatment. 2. Assistance with clinical trial enrollment. The study team will help participants enroll in a clinical trial appropriate for participant's condition. However, enrolling in a clinical trial is totally up to the participant. 3. Health literacy: The study team will provide information relevant to participant's diagnosis to enrich participant's understanding of participant's condition and treatment. Investigator will provide questionnaires to assess participant's understanding before and after participant's have been provided with educational/informational material appropriate for participant's diagnosis.
This is an Open, Single-arm, Multicenter, Prospective Phase II Study of Fuquinitinib Combined With Tegafur Gimeracil Oteracil in the Third-line Treatment of Patients With Advanced Metastatic CRC
We aim comparing different outcomes between high and low tie ligation of inferior mesenteric artery in left colorectal cancer operable and elective surgeries.
There is controversy about the maximum number of elements to be included in a surgical site infection (SSI) prevention bundle and the possibility of its implementation at a multi-center level. This study analyzes SSI rates in colorectal surgery after the implementation of two preventive bundles. The investigators hypothesized that the thorough introduction of a well-designed large bundle of best practice preventive measures would result in good adherence and greater reduction of SSI rates after colorectal surgery.
Colon cancer is one of the most common malignant tumors with an increasing incidence rate in China. Surgical resection is still the main treatment for colon cancer at present. Radical surgery followed by three/six months chemotherapy is the standard of care for stage III colon cancer; however, patients with different risk factors have different prognosis. The IDEA trial divided stage III colon cancer patients into low-risk (T1-3/N1) and high-risk (T4 or N2) groups, and showed that for some low-risk patients, three months chemotherapy did not decrease survival outcomes, while for some high-risk patients, the recurrence risk was still high even after six months chemotherapy. Therefore, it's worth to explore other risk stratification factors beyond T and N stage for these patients. Circulating tumor DNA (ctDNA) is derived from cancer cells and can be detected in blood. Literatures have reported that ctDNA can be used for tumor diagnosis, therapeutic monitoring, and prognosis assessment in multiple cancers, including colon cancer. The GERCOR-PRODIGE trial, an accompanying study of IDEA, reported that in the high-risk group of stage III colon cancer, patients with ctDNA-positive and receiving six months chemotherapy had similar prognosis to these with ctDNA-negative and receiving three months chemotherapy; in the low-risk group, patients with ctDNA-negative and receiving three or six months chemotherapy had similar prognosis to patients with ctDNA-positive and receiving 6 months chemotherapy, but patients with ctDNA-positive and receiving three months chemotherapy had the worst prognosis. The results of this trial suggests that ctDNA can be potentially used as a further stratification factor to guide adjuvant chemotherapy for stage III colon cancer. Several RCTs have shown that double-drug regimens chemotherapy based on oxaliplatin (FOLFOX and XELOX) can improve the prognosis of patients with stage III colon cancer. Therefore, the ESMO, NCCN, and CSCO guidelines recommend FOLFOX or XELOX for stage III colon cancer. The 2-year disease-free survival rate of these patients who received FOLFOX or XELOX chemotherapy was about 80%. It is worth to further explore how to improve the prognosis of these patients. Recently, the triple-drug regimens of oxaliplatin, irinotecan, and fluoropyrimidine (FOLFOXIRI) has been found to be superior to FOLFOX or XELOX for metastatic colorectal cancer in terms of response rate and survival. Currently, research on FOLFOXIRI plus targeted therapy in metastatic colorectal cancer is progressing rapidly, but there is little research on the use of FOLFOXIRI as adjuvant chemotherapy for stage III colon cancer. There is an ongoing international multicenter phase III RCT comparing FOLFOXIRI and FOLFOX6 adjuvant chemotherapy for high-risk stage III colon cancer patients, but it did not further stratify patients based on postoperative ctDNA status, which may result in some patients receiving excessive chemotherapy. The present study plans to enroll patients with stage III colon cancer with positive ctDNA within 1 month after surgery. These patients will receive 2 cycles of XELOX chemotherapy followed by retesting ctDNA. During the waiting period of the ctDNA results (approximately 3 weeks due to the testing time), all patients will receive another cycle of XELOX chemotherapy. If the ctDNA remains positive, the patients will be randomly assigned to receive 8 cycles of FOLFOXIRI as intensified adjuvant chemotherapy or 5 cycles of XELOX regimen as standard adjuvant chemotherapy. If the ctDNA is negative, the patients will continue to receive 5 cycles of XELOX chemotherapy. Within 3 weeks after the completion or termination of chemotherapy, ctDNA will be retested again. The aims of this study are to explore the value of ctDNA in surveillance of chemosensitivity and to preliminarily evaluate whether the intensified chemotherapy with FOLFOXIRI can increase ctDNA clearance as well as its safety in stage III colon cancer.
This study is designed to characterize the safety, tolerability, and anti-tumor activity of MDX2001 in patients with advanced solid tumors.
At this moment, we use CT and endoscopy to clinically stage colon tumours. Unfortunately, the combination of these imaging techniques is highly inaccurate. 40% of advanced pathological colon tumours (so called T4 tumours) are not staged as a T4 tumour pre-operatively. Preoperative or neoadjuvant chemotherapy (NAC) has improved outcomes in other gastrointestinal cancers and seems to be a promising pretreatment for colon tumours. To implement NACin colon tumours, we first need to stage the colon tumours with much higher accuracy. MRI sequences and cine imaging hold promise to provide more accurate staging of colon tumours.
The aim of the study is to assess whether the use of artificial intelligence improves polyp detection in a segment of the colon (the right colon). To achieve this objective, patients will be divided into two groups: one will undergo a standard colonoscopy, the other a colonoscopy with the artificial intelligence software connected to the machine. This software does not modify the colonoscopy technique in any way, and does not require the administration of any product to the patient. The study will compare the detection rate of right colon polyps between the group of patients who underwent standard colonoscopy and those who underwent colonoscopy with artificial intelligence. If this number does not differ between the two groups, the investigators can conclude that there is no point in using artificial intelligence.