Active clinical trials for "Colorectal Neoplasms"

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.

The purpose of this study is to help the Dartmouth Cancer Center and the National Cancer Institute understand how to educate people about cancer screening.

All adult patients with colorectal cancer presenting within the Sahlgrenska University Hospital or treated at any time at Sahlgrenska University Hospital are eligible and will be asked to participate. We already have biopsies taken at surgery in patients that receive surgery, but this study will include all patients and the biopsies will be taken during endoscopy for diagnosis of the primary tumour. Biopsies will then be taken during follow-up exams prior surgery but after neoadjuvant treatment. Biopsies will also be taken during surgery and in cases where surgery is not necessary biopsies will be taken regularly during follow-up exams. Blood samples and in relevant cases urinary samples and mouth swabs will be taken at all timepoints when biopsies are taken. If it is not possible to take biopsies prior treatment blood samples will still be drawn.

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.

The purpose of this study is to provide educational materials and information regarding colorectal cancer (CRC), CRC screenings, and United States Preventive Services Task Force's (USPSTF) screening recommendations. USPSTF recommends screening for colorectal cancer starting at age 45 years and continuing until age 75 years.

In Pakistan, due to the lack of a National based cancer registry exact number of CRC cases is unknown. However, minimal data that is present in literature shows an increase in CRC cases with a concerning increase in incidence in younger age groups11. This makes it pertinent to understand current pattern of CRC and its risk factors from a local perspective. This will direct future strategies in an attempt to reduce the incidence and mortality associated with CRC in our general population.

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 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.

This study learns if depression, anxiety, and catastrophizing (thought patterns that prompt people to expect the worst) are associated with chronic pain after surgery among patients who are scheduled to have cytoreductive surgery with intraoperative hyperthermic chemotherapy. Information from this study may improve the understanding of persistent and chronic postsurgical pain integrating multiple layers of biological and behavioral sciences.