Colorectal Cancer Clinical Trials

This is an open-label, Phase 1/2 study to determine the safety, tolerability, and efficacy of APL-5125 for the treatment of selected locally advanced or metastatic solid tumors with particular focus on Colorectal carcinoma (CRC). Read Less

RATIONALE: Studying samples of tissue, blood, urine, stool, and other biological fluids from patients with cancer and from healthy volunteers undergoing colonoscopy or endoscopy may help doctors identify and learn more about biomarkers related to cancer. PURPOSE: This research study is looking at gastrointestinal biomarkers in tissue and biological fluid samples from patients and participants undergoing colonoscopy, endoscopy, or surgery. Read Less

This study assesses the feasibility and acceptability of a brief electronic patient-reported outcome (ePRO) tool that allows patients to self-identify impending delays. The risk of treatment delays according to tumor type and race will be measured by both ePRO and electronic health record (EHR) tools. Data from this study and the association of social determinants of health could be useful to flag patients at risk of delay and due timely intervention for modifiable treatment barriers. The prediction of the risk of treatment delay will be helpful to design another study using electronic tracking systems to prevent cancer treatment delays. The long-term goal of this research is to alert care teams when patients may be at risk of treatment days and to help patients get treatment faster. It was planned to enroll a total of 240 subjects with newly diagnosed cancer. Sixty colorectal and 180 breast cancer patients will be included. Read Less

This is a Phase 1/2 open-label, multi-center, multi-national study with an initial dose escalation part to determine the recommended Phase II dose (RP2D) of MCLA-158 single agent in patients with mCRC. The dose escalation part has been completed and the RP2D will be further evaluated in an expansion part of the study. Cohorts of selected solid tumor indications for which there is evidence of EGFR dependency and potential sensitivity to EGFR inhibition will be evaluated including head and neck cancer and metastatic colorectal cancer (mCRC). The study will further assess the safety, tolerability, PK, PD, immunogenicity, and anti-tumor activity of MCLA-158 in monotherapy or in combination with other therapies. Read Less

The investigators hypothesize that abnormalities in thromboelastography (TEG) parameters in patients with liver, pancreas, biliary, esophageal, colorectal, and lung adenocarcinoma can serve as biomarkers for oncologic disease burden, cancer recurrence and overall survival as well as thrombotic and hemorrhagic post-operative complications. The investigators further hypothesize that there is histologic pathology correlates to pre-operative TEG abnormalities, and that it identifies patients with virulent tumor biology. Read Less

This is a research study to evaluate the effectiveness of 3 different types of routine pain management regimens used during clinically indicated, minimally invasive oncologic (cancer) surgery. This project is considered "Research" and participation is voluntary. Upon enrollment in this study, the research team will collect data from the patient's medical records. The patient will undergo all of the normal testing and procedures required pre-operatively (standard of care). The study team will then randomly assign the patient (like a flip of a coin) to one of three different study arms for pain management during surgery: 1. Laparoscopic Transversus Abdominis Plane Block (LapTAP) with Local Anesthetic (LA) 2. Laparoscopic Transversus Abdominis Plane Block (LapTAP) only 3. Local Anesthetic (LA) only The patient will receive standard pre- and post-operative care according to clinical guidelines (routine care). The study team will collect information from the patient's medical record for the first 24 hours after their surgery and upon discharge. This information will include pain scores, amount of medication required, any side effects the patient may have experienced, and satisfaction with pain control. Participation in the study will end upon discharge from the hospital. Read Less

The overall goal of this feasibility study is to assess the initial safety and efficacy of LUM015 in ex vivo far-red imaging of colorectal, pancreatic, and esophageal cancers (adenocarcinoma) using the LUM Imaging System. Read Less

The investigators propose to evaluate the safety of drug combinations in patients with advanced gastroesophageal cancer and other gastrointestinal (GI) malignancies. Finding effective novel therapies for patients with advanced gastric cancer and other GI malignancies is an area of great unmet need. The investigators believe that modulating the tumor microenvironment with biologic agents like cabozantinib will have synergistic effect when combined with checkpoint-based immunotherapeutics like durvalumab in this patient population. This is a phase I/II, open label, multi-cohort trial looking at safety, tolerability and efficacy endpoints. Read Less

This is a phase 2 pragmatic study that evaluates the clinical benefit of continuing systemic therapy with the addition of locally ablative therapies for oligo-progressive solid tumors as the primary objective. The primary outcome measure is the time to treatment failure (defined as time to change in systemic failure or permanent discontinuation of therapy) following locally ablative therapy. Read Less

To test whether real-time feedback will improve quality of endoscopic examination. Read Less

This is a Phase 2, open-label, multicenter study designed to evaluate the efficacy, safety and tolerability of IBI363 (study drug) in subjects with advanced, refractory solid malignancies. Read Less

The goal of this observational study is to validate a non-invasive, urine-based diagnostic technology for the detection and differentiation of various gastrointestinal (GI) diseases. This research study intends to enroll participants across a range of demographics and GI disease states including colorectal cancer, small intestinal bacterial overgrowth (SIBO), Crohn\'s disease, and Celiac disease, collect urine samples and clinical data, and use artificial intelligence and machine learning to build disease-specific models which can identify and differentiate a participants' specific GI disease. The main questions it aims to answer are: 1. Does the platform identify a disease signal within each disease cohort, compared to normal controls? 2. How well does the test perform (e.g. sensitivity and specificity/false-positive rate)? Read Less