Active clinical trials for "Colorectal Neoplasms"

This pilot trial studies how well serial liquid biopsies work in detecting microsatellite instability in participants with stage IV colorectal cancer. Serial liquid biopsies may help doctors learn better methods to track cancer in the bloodstream and how to use these to improve cancer treatments.

The pathogenesis of Colorectal cancer (CRC) metastasis remains unclear.We collect clinical data from our center and use Integrative omics to analyze and predict candidate biomarkers of colorectal cancer and distant metastasis.

A prospective multi-center observational study. The study will enroll eligible subjects from the United States to optimize the biomarker panel and evaluate the performance of a cfDNA marker panel selected by the Sponsor for CRC and advanced adenoma detection.

The primary objective of this study is to evaluate the impact of a theoretically grounded video that includes information about CRC screening modality choices on CRC screening rates and time adherent to CRC guidelines.

In clinical practice, there are currently no biomarkers that can guide colorectal cancer treatment in the primary and curative setting. Improved biomarker-based adjuvant treatments would be of greatest value in order to reduce the risk of relapse. There are reasons to believe that measurements of circulating tumor DNA (ctDNA) in plasma could be used to monitor minimal residual disease after surgery. To address this question, a pilot study was conducted with the purpose to demonstrate the feasibility to perform prospective profiling of ctDNA in a cohort of patients with colorectal cancer stage I-III using the already created Nordic infrastructure for clinical research built up for the ALASCCA trial. If the pilot study proves successful, a large randomised controlled Nordic multicenter study is planned where patients with positive ctDNA 4-6 weeks after radical surgery will be randomised to chemotherapy and/or a biologic agent.

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: A good characterization of the tumor to identify candidates, A well-established panel of drugs targeting the identified candidates, 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 determine the frequency of colorectal cancer in male and female endurance athletes between the ages of 35 and 50.

The purpose of this study is to investigate the feasibility of using ctDNA to support cancer diagnosis and risk stratification where invasive aerosol generating testing (and/or tissue biopsy) is challenging due to infection risk, technical impracticalities and resource limitations, such as during the COVID-19 pandemic and the subsequent recovery period.

A cross sectional multicenter study (3 centers) to know the participation in decision making and the experience and satisfaction of participants with a positive immunological fecal test (FIT) result in relation to the screening process and the diagnostic-therapeutic process of cancer. We will include 850 participants with a positive FIT result and will classify them by their final diagnosis (false positives of FIT; polyps; colo-rectal cancer). Outcomes of interest will be measured by auto administered questionnaires: collaboRATE, SDM-Q-9, OUT-PATSAT35 and a satisfaction questionnaire developed in a previous study.

The purpose of this registry study is to create a database-a collection of information-for better understanding young onset colorectal cancer. Colorectal cancer patients are considered to have young onset colorectal cancer if they are diagnosed with their cancer before the age of 50. Researchers will use the information from this database to learn more about how young onset colorectal cancer may be similar to or different from colorectal cancer that is diagnosed later in life. Researchers will also use information from the database for current and future research on young onset colorectal cancer.