View clinical trials related to Neoplastic Cells, Circulating.
Filter by:On the basis of previous retrospective studies, the Task Force will further optimize the CTCs longitudinal surveillance model and initially validate the subclonal origin (CTC-DNA) of recurrent/metastatic foci derived from CTCs at the molecular level in hepatocellular carcinoma, prospective clinical trials will be conducted to further validate the predictive value of the CTCS longitudinal monitoring model in predicting postoperative recurrence of hepatocellular carcinoma, and to verify whether it is earlier than imaging to indicate recurrence, to explore the clinical feasibility of CTCs in guiding postoperative adjuvant therapy of liver cancer, and to provide new ideas for early intervention strategy of liver cancer after operation, to establish a set of standardized clinical scheme of auxiliary treatment for patients with liver cancer after operation for accurate and individualized"Early diagnosis and treatment".
The role of this transversal study is to assess the specificity and sensitivity of liquid biopsy to detect circulating cells tumor of adenocarcinoma of the ethmoid. Blood sample of participants will be collected at the moment of the surgical procedure or recurrence diagnosis; immediately after surgery; at day 8-10; at month 2-3 of postoperative follow-up. Two comparison groups will be studied: one age and gender-matched group and one professional exposure-matched group to assess the sensitivity and specificity of liquid biopsy
Early non-small cell lung cancer (NSCLC), treated by surgery or radiotherapy in the case of inoperability, relapses in almost 50% of cases. Circulating tumour cells (CTCs), which can be detected before surgery, represent a promising prognostic tool, but the markers characterising their aggressiveness remain to be determined. The NSCLC microenvironment, in which purinergic signalling is a key pathway, controls tumour development. Adenosine derived from the action of CD39 and CD73 ectonucleotidases hydrolysing extracellular ATP, induces immunosuppression of NSCLC by activating A2R receptors. The expression and prognostic relevance of A2R, CD39 and CD73 on CTCs is unknown. The objectives are to (i) compare the expression of A2R and CD39 and CD73 on primary tumour cells and CTCs of patients operated on for early NSCLC, (ii) correlate these data with molecular characteristics and clinical response, (iii) determine on lung cancer lines whether irradiation impacts on the expression of A2R, CD39 and CD73. This work could contribute to the identification of new theranostic biomarkers.
In this monocentric randomized controlled trial, 120 potential non small cell lung cancer (NSCLC) patients for which tissue diagnosis and material for next generation sequencing (NGS) is required for clinical management will be approached the day of their endobronchial ultrasound to participate in the study. They will be randomized to 2 vs 3 passes/lymph node and will all undergo liquid biopsy. The co-primary outcomes are 1)the rate of obtention of adequate material for NGS testing with 2 vs 3 passes/lymph node and 2)the percentage of patients for which liquid biopsy allows to identify clinically pertinent findings not available from tissue biopsy
This study enrolled patients who underwent R0 resection of tumor and had elevated tumor biomarkers (CEA, CA19-9). After enroll the study, a CTC test will performed and patients who had positive CTC will be randomly assigned to two groups. The control group will continue follow-up until radiological recurrence appear, the treatment group will start treatment or change the current adjuvant regimen. First endpoint is OS. The secondary endpoint is DFS, adverse event.
This study enrolling patients with metastatic colorectal cancer. Detecting CTC at different points in the treatment process. Descripting the molecular atlas of CTC in mCRC patients. Building and validating a response prediction system of mCTC patients.
Detecting circulating tumor cells from I-IV stage colorectal cancer patients pre-and post-operatively. Analyzing the morphology and biomarkers of CTCs and builting prognosis predicting model based on the morphology and biomarkers of CTCs. Verifying the prognosis model by the survival data.
Lung cancer is the most common type of cancer in my country, but the 5-year survival time of lung cancer patients is only 17%. Among them, the biggest reason that affects the patient's prognosis is the metastasis of the tumor. There are very few clinical methods suitable for the treatment of metastatic lung cancer, and the curative effect is not good. Therefore, early monitoring and interventions to prevent distant colonization of metastases are the key to improving the survival of lung cancer. The preliminary research of this project found that circulating tumor cells in peripheral blood can be used as an effective means for clinical diagnosis and treatment of lung malignant tumors. Through the analysis of the difference in time and space metastasis of lung cancer patients, it is found that the genomes of different metastasis stages and metastatic organs of lung cancer are quite different , And is closely related to the patient's survival. For this reason, we propose the hypothesis that the genomic mutation characteristics of circulating tumor cells can detect tumor metastasis signals earlier than CT imaging diagnosis. To test this hypothesis, we will develop a cancer metastasis risk assessment system based on tumor genomics. First, we collect big data on the genome of primary and metastatic lung cancer from public databases, and use statistical methods to screen out genomic features that are significantly related to metastatic lung cancer and its metastatic colonization organs. Secondly, using these features to develop a set of machine learning models that can determine the risk of metastasis of a lung cancer based on its genome features. Finally, we applied the model to clinical practice. By detecting the circulating tumor cells of patients with primary lung cancer during the reexamination, we established a statistical noise reduction model to extract the genomic characteristics, and then substituted into the model to determine the circulating tumor cells carried by the patient Whether there is a risk of recurrence and metastasis. By comparing the imaging data in the review, we will verify whether the model detects early metastasis signals of lung cancer earlier than imaging methods. Ultimately, our model will aggregate genomic markers related to metastasis risk, explore their drug targeting, and provide powerful big data analysis support for early intervention in metastasis colonization and prolonging the survival of lung cancer patients. If the topic is demonstrated, it will help to clarify the use of tumor genome big data analysis to reveal the genomic driver mutations of metastatic lung cancer; demonstrate the feasibility of circulating tumor cell genome driver mutations to predict the risk of lung cancer metastasis; and finally clarify the PI3K/Akt/mTOR signal Can inhibitors of the pathway be used as a target for early intervention in lung cancer metastasis.
The aim of this study is to analyze the therapeutic effect of postoperative adjuvant chemotherapy with FOLFOX4 after hepatocarcinoma resection based on folate receptor-positive circulating tumor cells. Patients receiving curative resection (R0) were randomized to postoperative FOLFOX4 group and no FOLFOX4 group. The time to recurrence, the overall survival as well as the incidence of complications after therapy was observed to confirm the role of postoperative adjuvant therapy of FOLFOX4.
Circulating tumor cells (CTCs) in peripheral blood originate from breast cancer (primary and metastatic lesions) shedding. Utilization of CTCs as novel and noninvasive tests for diagnosis confirmation, therapy selection, and cancer surveillance is a rapidly growing area of interest. In this project, the investigators will explore a novel detection technology of circulating tumor cells in breast cancer using novel Microfluidic and Raman Spectrum Device. The primary objective is to demonstrate that the CTC assay counts technology can distinguish between healthy subjects and malignant breast cancer subjects. The secondary objective is to demonstrate that the CTCs detection technology can evaluate the efficacy of chemotherapy and neoadjuvant chemotherapy, as well as dynamic treatment monitoring and prognosis evaluation.