View clinical trials related to Rectal Cancer.
Filter by:The addition of durvalumab to total neoadjuvant therapy (TNT) in locally advanced rectal cancer may improve the pathological complete response rate. The induction platinum-based chemotherapy may increase the neoantigen formation together with the chemoradiotherapy period. Starting durvalumab during the first chemotherapy session and continuing during the 6-week period of chemoradiotherapy could change and create the needed environment to increase the efficacy of durvalumab in this setting. Additionally, the 8-12 week rest period from the end of the chemoradiotherapy and the radical surgery, treatment with durvalumab may continue improving the response and outcome of patients without jeopardizing the surgery (which needs this period out of chemotherapy and radiotherapy to avoid postoperative complications, but not for anti-PDL-1 therapy). Patients will be included following inclusion/exclusion criteria in a prospective, non-randomized, open label, single arm phase II study to receive 6 cycles of mFOLFOX6 (oxaliplatin, leucovorin and fluorouracil) followed by long course chemoradiotherapy (50.4 Gy together with capecitabine) followed by surgery. Patients will receive durvalumab 1500 mg every 4 weeks during induction chemotherapy, chemoradiotherapy and waiting period until surgery.
In patients with advanced rectal cancer, molecular subtypes will be identified by preoperative biopsy, CT, MRI / PET radiomics analysis, clinical features, and clinical features will be confirmed and compared. Also, we want to confirm the relationship between these factors and the treatment response after chemoradiotherapy before surgery. The prognosis will be then assessed through 5-year overall survival and 3-year disease free survival. A prospective clinical trial, recruiting 210 persons (approximately 53 per year) that meet the selection criteria for approximately four years from the IRB approval date in 2019 (about 53 per year) We will analyze the data and then collect and analyze the data and report the results.
In this study, investigators seek for a better way to identify the potential pathologic complete response (pCR) patients form non-pCR patients with locally advanced rectal cancer (LARC), based on their post-neoadjuvant treatment Magnetic Resonance Imaging (MRI) data. Previously, a post neoadjuvant treatment MRI based radiomics AI model had been constructed and trained. Here, the predictive power of this artificial intelligence system and expert radiologist to identify pCR patients from non-pCR LARC patients will be compared in this prospective, multicenter, back-to-back clinical study
In this study, investigators utilize a radiomics prediction model to predict the tumor response to neoadjuvant chemoradiotherapy (nCRT) before the nCRT is administered for patients with locally advanced rectal cancer (LARC). Previously, the radiomics prediction model has been constructed based on the radiomics features extracted from pretreatment Magnetic Resonance Imaging (MRI) in the training set, and optimized in the external validation set. The predictive power of this radiomics prediction model to discriminate the pathologic complete response (pCR) patients from non-pCR individuals, will be further verified in this prospective, multicenter clinical study.
In this study, investigators apply a radiopathomics artificial intelligence (AI) supportive model to predict neoadjuvant chemoradiotherapy (nCRT) response before the nCRT is delivered for the patients with locally advanced rectal cancer (LARC). The radiopathomics AI system predicts individual tumor regression grading (TRG) category based on each patient's radiopathomics features extracted from the Magnetic Resonance Imaging (MRI) and biopsy images. The predictive power to classify each patient into particular TRG category will be validated in this multicenter, prospective clinical study.
In this study, investigators utilize a radiopathomics integrated Artificial Intelligence (AI) supportive system to predict tumor response to neoadjuvant chemoradiotherapy (nCRT) before its administration for patients with locally advanced rectal cancer (LARC). By the system, whether the participants achieve the pathologic complete response (pCR) will be identified based on the radiopathomics features extracted from the pre-nCRT Magnetic Resonance Imaging (MRI) and biopsy images. The predictive power to discriminate the pCR individuals from non-pCR patients, will be validated in this multicenter, prospective clinical study.
This is an observational research study. Patients with rectal cancer can choose different courses of treatment. This study will follow these patients over the course of approximately six years, depending on their treatment. Patients will be monitored through clinic visits and survey assessments to see how they do, how they feel regarding their treatment choices, and their outcomes. The surveys will analyze the impact of the patients' treatment choices, as well as patient adherence, in a rural setting.
This is a open-label, single-arm study to investigate the safety and efficacy of consolidative chemotherapy with camrelizumab, an anti-PD-1 antibody drug following short course radiotherapy and subsequent surgical therapy in patients with locally advanced resectable rectal cancer.
The recently developed liquid biopsy technology (to obtain and characterize tumour cells and tumour components like Deoxyribonucleic acid (DNA) or Ribonucleic Acid (RNA) from a simple blood draw), in combination with advanced Magnetic Resonance Imaging techniques (MRI), can tackle the following problems in rectal cancer: 1. Assessment of tumour heterogeneity from liquid biopsies. 2. Assessment from advanced MRI feature extraction to indicate poor outcome 3. Faster assessment of therapy response in Neoadjuvant chemotherapy (NAT) for rectal cancer; 4. Detection of emerging drug/therapy resistance. This project's overall objective is to develop and validate technologies and tools to include liquid biopsies in the clinical workflow, aiming at introducing a more precise and dynamic genetic characterization of tumour at the diagnosis and during treatment phases.
The purpose of our study is to determine if an association exists between the microbiome of those with rectal adenocarcinoma who are complete pathologic responders and those who have a partial or no response to neoadjuvant therapy.