View clinical trials related to Organoid.
Filter by:Gastric cancer is an important disease burden that threatens human health. Due to the complex biological characteristics of gastric cancer, the research on gastric cancer is still at a low level. Organoid technology is a breakthrough technology in cancer research. Gastric cancer organoid is a good model for gastric cancer research by three-dimensional culture of tumor cells in vitro, which simulates the spatial morphology and structure of tumors in vivo while preserving the biological characteristics of tumor cells. At present, gastric cancer organoid models have shown great advantages in many fields, such as the mechanism of gastric cancer development, tumor drug resistance, large-throughput chemotherapy drug screening, novel therapeutic target searching, and preclinical validation of novel drugs. In the current clinical trial, investigators cultured organoids from gastroscopic biopsy tissue of gastric cancer patients, and compared the organoids with the sampled tumors, including immunohistochemical indicators (Ki67+/CK20+/CDX2+), WES sequencing results. At the same time according to the guidelines. The recommended treatment plan is to compare the organoid model drug screening results with the clinical drug sensitivity.
This is a single-center, single-arm, open and exploratory clinical study. The purpose of this study was to evaluate the consistency and accuracy of the organogenic (PDO) model for patients with lung cancer, to predict the clinical efficacy of anticancer drugs, and to speculate and select personalized treatment regiments for patients with lung cancer who are resistant to multi-line standard therapies.
Initially described in 2009 on LGR5 positive stem cells from intestine, organoids correspond to a 3D cell culture that preserves the organization and part of the initial function of the organ from which the cells were derived. They use the proliferation and differentiation properties of stem cells cultured in a three-dimensional matrix. These principles have been adapted to many human organs, including the breast. These culture conditions have thus allowed the establishment of cancer organoid lines that have the advantages of rapid amplification, a high rate of establishment success and unlimited proliferation potential. They are transfectable and cryopreservable. They are very close morphologically and genetically to the tumor from which they derive. Very recently, the in vivo response of orthotopic xenograft models of breast cancer organoids has been correlated to the in vitro response of these same organoids. In addition, the in vitro response of various of these models to PARP inhibitors was linked to the presence of the BRCA1/2 mutant signature, highlighting the potential of these models to predict patient response to these treatments. Furthermore, one study demonstrated the value of using organoids derived from metastatic gastrointestinal tumors to predict patient response to cancer treatments (100% sensitivity, 93% specificity, 88% positive predictive value, and 100% negative predictive value.
This is a single-center, observational clinical study that plans to recruit 64 ovarian cancer patients within one year. The purpose of this study is to evaluate the consistency and accuracy of the organoid model derived from patients with ovarian cancer and the patient's clinical medication, so as to predict the clinical efficacy of anti-cancer drugs
This is a single center, single arm, open and exploratory clinical study, with 50 cases planned for a period of 3 years. The purpose of this study is to evaluate the consistency and accuracy of a Patient-Derived Organoid (PDO) Model of lung cancer to predict the clinical efficacy of anti-cancer drugs, in order to predict the best chemotherapy regimen for each given patient.
This is a single center, single arm, open and exploratory clinical study, with 50 cases planned for a period of 2 years. The purpose of this study is to evaluate the consistency and accuracy of Patient-Derived Organoid Model of breast cancer to predict the clinical efficacy of the drug, as well as the possibility of guiding the neoadjuvant chemotherapy.
Rationale: Current standard treatment of localized esophageal cancer (EC) with neoadjuvant chemoradiotherapy (nCRT) followed by esophagectomy with curative intent results in 30% complete, 40-60% partial and 20% no-response at pathologic examination. Clinical response of nCRT is usually evaluated with PET-CT. However, response measurements are currently still insufficient in optimizing EC treatment. Proper pre-surgical response prediction may allow individualized treatment with esophagus-preservation in complete responders or switching to an alternative treatment in non-responders. Interestingly, in many tumors, a subset of cells has been found to possess cancer stem cell (CSC) properties with associated signaling as drivers of tumor (re-)growth and therapy resistance. Response of CSC-derived tissue resembling in vitro cultured tumor organoids may reflect patient's tumors sensitivity to therapy. Objective: To create a patient derived organoid model for EC patients to predict the pathologic tumor response to nCRT in clinical practice. This will allow a more personalized approach in future treatment of locally advanced EC. Study design: Fresh esophageal tumor material will be collected during diagnostic endoscopic ultrasound (EUS) in participating patients. These biopsies will be used to select cancer stem cells, which will be cultured to derive organoids (esophageal cancer patient derived organoids; EC-PDO). When the EC-PDO contain sufficient cells, these cells will be treated with radiotherapy and/or chemotherapy in order to obtain dose-response curves. The response of these EC-PDOs will be compared to the actual tumor response to nCRT treatment in these EC patients, which will be assessed at the definitive pathologic examination of the resection specimen after esophagectomy with curative intent. Study population: All patients with curatively treatable and resectable esophageal cancer (adenocarcinoma or squamous cell carcinoma) can be included in this trial. Main study parameters/endpoints: The main endpoint is response prediction to chemoradiotherapy by EC-PDO; the steepness of the dose response survival curve in the organoids in relation to the pathologic response after resection in the clinical situation. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: The patients will be asked to undergo 3 to 6 additional biopsies during endoscopic ultrasonography (EUS) for the TNM staging of the tumor. The risk of these additional biopsies is not greater than the biopsies for the diagnosis of EC. The patient will not benefit from participation in this trial. For the future approach we can get more insight into the mechanism of (chemo)radiation response or resistance to nCRT, which might lead to a better patient selection and more individualized esophageal cancer treatment in the future. This improvement in selection and treatment can result in less over or under-treatment of these EC patients.