View clinical trials related to Colorectal Neoplasms.
Filter by:This is a clinical prospective, no-Profit, Interventional, Premarket Medical Device "early phase", multicentre, single-arm study, based on collecting data on predictive biomarkers of mCRC patients, integrate them with the results of the retrospective evaluation of outcomes and profiles of historical mCRC patients previously treated in the Oncology Units, in order to evaluate the efficacy of the best administered treatment. Results from the retrospective evaluation, will serve to build an AI-based profile capable to identify "good" or "poor" responders to therapy and to support the clinician towards the best treatment option. AI is a software based on algorithm defined as Medical Device Class IIa.
This is an observational study in a clinical setting to estimate the prevalence of advanced colorectal neoplasia (ACN) at colonoscopy in those with a history of low or high risk polyps or a family history of CRC/polyps and to verify the test performance characteristics of FIT in these populations. Using this information, a risk prediction model will be developed to help guide the choice between FIT and colonoscopy in the ongoing surveillance or screening of patients.
Artificial intelligence is a promising tool that may have a role in characterizing colon epithelial lesions (CADx), helping to get a reliable optical diagnosis regardless of the endoscopist experience. Performances of the different CADx systems are variable but it seems that, in most cases, high accuracy and sensitivities are achieved. However, these CADx systems have been developed and validated using still pictures or videos, and a real-world accurate test is lacking. No clinical trials have tested this technology in clinical practice and, therefore, performance in real colonoscopies, practical problems, applicability, and cost are unknown.
Sexual quality of life is rarely mentioned by physicians during follow-up consultations, even though it is the source of a significant deterioration in quality of life (QOL). The assessment of female sexual function is based on self-administered questionnaires. Four questionnaires have been translated and validated in French: FSFI, PISQ-IR, PISQ-12, BISF. The objective of this project is to determine which questionnaire is acceptable and adapted to a cohort of women living in France who have undergone treatment for rectal cancer
Extensive preclinical evidence suggests that short-term fasting and fasting mimicking diets (FMDs) can protect healthy cells and render cancer cells more vulnerable to chemotherapy and other therapies. However, fasting is difficult for the old and frail subjects.Therefore, FMDs may be more suitable for postoperative dietary intervention in cancer patients. Colorectal tumors have high glucose consumption, which makes tumor cells very sensitive to changes in nutritional metabolism of the surrounding environment (such as diet restriction / fasting). Previous studies have shown that cyclic FMDs are safe and feasible for cancer patients receiving chemotherapy alone. However, the effects of the FMD in patients under radical surgery for colorectal cancer have not been evaluated so far. This study aims to evaluate the impact of FMDs on postoperative recovery and outcomes of patients with colorectal cancer.
Recently, oncology has moved to a new clinical practice, more personalized, called Predictive Oncology (PO). PO comes from our knowledge about tumor heterogeneity that implies that each disease, thus each patient, is unique. PO's goal is to identify and administrate the right treatment to the right patient. For this, PO requires to go through 3 majors steps: 1. A good characterization of the tumor to identify candidates, 2. A well-established panel of drugs targeting the identified candidates, 3. A relevant model to functionally test these candidates. The first point could easily be addressed with recent technologies that now allow the Next Generation Sequencing (NGS) and/or the simultaneous analysis of transcriptomic profiles from thousands of patients. The last two points have not been efficiently achieved so far, which prevents PO to be really efficient. Indeed, even if NGS allows the identification of potential targets, the presence of a molecular candidate does not necessary means obligatory functional response. The number of drugs approved by the Food and Drug Administration remains limited and most frequent targets in solid tumors (for ex. RAS, P53, MYC, RB1 ...) still do not have specific drugs approved in clinic. Finally, available pre-clinical models still present many major inconvenient: - Chimiogrammes on 2D cultures are not sufficiently relevant to be really predictive of the in vivo situation; - Patient derived xenograft (PDX) are not adapted for clinical use because not all tumors graft and the time to develop a PDX is too long (several months), thus incompatible with the history of the disease (especially for most severe patients). Furthermore the host (NOD-SCID mouse) is immuno-depressed, preventing to objectively test antibodies-mediated drugs. Recently, the 3D cell culture technology has proven its superiority to predict drug response over classical 2D chimiogrammes. It consists in growing "mini-tissues", or organoid-derived from tumor/healthy tissues, thanks to the amplification of stem cells contained within the sample. The generated organoids are personalized and biologically relevant (organoids are expend form the patient's stem cells which self-organized according to the architecture of the tissue they are originating from), they are genetically stable, their growth is compatible with patient's disease history (organoids grow in few weeks), easy and convenient to achieve, even from small biological material quantities (0.5< x < 1cm3), and they can be amplified, frozen and thawed on demand. Moreover, organoids can be made more complex with the addition of other cell types (fibroblasts, immune cells …). None of the actual available pre-clinical model regroups all these characteristics. The constitution of a "next generation" biobank of liver samples (Metastases to the liver and Hepato Cellular Adenocarcinoma) will be very useful in the context of predictive oncology. For this, a biopsy needs to be dissociated and grown in Matrigel™, in presence of a well-defined list of growth factors. Once the culture is established, organoids can be frozen then defrost on demand. Our main objective is to evaluate the feasibility for building a biobank of liver-derived organoids, from liver metastases of colorectal cancers, hepatocellular adenoma and adenocarcinoma (waste tissues). Applications related to organoids derived from tumors are quasi indefinite, from drug screening assays, tests for novel therapies or original drug combinations, to patients' stratifications or fundamental research. In our case, we are interested in building this a biobank in the prospect of using it to build the "next generation of model for predictive oncology" to study liver-related cancers and related drugs testing. Briefly, we want to implement these organoids with cells from the microenvironment in order to makes the global model more pertinent for drug testing. If successful, the generation of such biobank, including both tumor-derived organoids and healthy counterpart, could be really helpful for the scientific and medical community.
The purpose of this study is to evaluate the efficacy of Durvalumab plus Regorafenib versus observation for patients with stage IV colorectal cancer achieving the no evidence of disease state. The NED state can be achieved in any line of treatment and it is defined as: 1. R0 resection for surgery, 2. the complete ablation defect covering the lesion on CT scan for radiofrequency, 3. the erogation of ≥ 60 Gy for stereotactic radiotherapy, 4. complete response to antineoplastic treatments on CT scan. In all these cases CEA and CA 19.9 must be within normal limits at the time of randomization. Participants in this study will receive: Experimental arm: Regorafenib 90 mg d1-21 every 28 days plus Durvalumab 1500 mg every 28 days for 1 year Control arm: Observation (crossover to Experimental arm is allowed in case of relapse) Tumor assessment will be performed every 12 weeks.
This trial is a Phase II study. The purpose of this study is to evaluate the efficacy, safety, and pharmacokinetics of AK112 with or without AK117 in participants with metastatic colorectal cancer who are not suitable for surgery.
The investigators hypothesize that gut microbiome composition and the four bacterial gene markers (M3) show dynamic changes after endoscopic resection of advanced neoplasia, some key bacteria are associated with restoration of gut microbiome after endoscopic resection.
Evaluate the safety and tolerability of RMC-6236 in adults with specific RAS mutant advanced solid tumors.