View clinical trials related to Osteosarcoma.
Filter by:This study is to collect and validate regulatory-grade real-world data (RWD) in oncology using the novel, Master Observational Trial construct. This data can be then used in real-world evidence (RWE) generation. It will also create reusable infrastructure to allow creation or affiliation with many additional RWD/RWE efforts both prospective and retrospective in nature.
Osteosarcoma is regarded as most common malignant bone tumor in children and adolescents. Approximately 15% to 20% of patients with osteosarcoma present with detectable metastatic disease, and the majority of whom (85%) have pulmonary lesions as the sole site of metastasis. Previous studies have shown that the overall survival rate among patients with localized osteosarcoma without metastatic disease is approximately 60% to 70% whereas survival rate reduces to 10% to 30% in patients with metastatic disease. Though lately, neoadjuvant and adjuvant chemotherapeutic regimens can decline the mortality rate, 30% to 50% of patients still die of pulmonary metastases. Number, distribution and timing of lung metastases are of prognostic value for survival and hence computed tomography (CT) thorax imaging still plays a vital role in disease surveillance. In the last decade, the technology of multidetector CT scanner has enhanced the detection of numerous smaller lung lesions, which on one hand can increase the diagnostic sensitivity for lung metastasis, however, the specificity may be reduced. In recent years, deep-learning artificial intelligence (AI) algorithm in a wide variety of imaging examinations is a hot topic. Currently, an increasing number of Computer-Aided Diagnosis (CAD) systems based on deep learning technologies aiming for faster screening and correct interpretation of pulmonary nodules have been rapidly developed and introduced into the market. So far, the researches concentrating on the improving the accuracy of benign/malignant nodule classification have made substantial progress, inspired by tremendous advancement of deep learning techniques. Consequently, the majority of the existing CAD systems can perform pulmonary nodule classification with accuracy of 90% above. In clinical practice, not only the malignancy determination for pulmonary nodule, but also the distinction between primary carcinoma and intrapulmonary metastasis is crucial for patient management. However, most existing classification of pulmonary nodule applied in CAD system remains to be binary pattern (benign Vs malignant), in the lack of more thorough nodule classification characterized with splitting of primary and metastatic nodule. To the best of our knowledge, only a few studies have focuses on the performance of deep learning-based CAD system for identifying metastatic pulmonary nodule till now. In this proposed study, the investigators sought to determine the accuracy and sensitivity of one computer-aided system based on deep-learning artificial intelligence algorithm for detection and risk stratification of lung nodules in osteogenic sarcoma patients.
RATIONALE: Studying samples of tumor tissue from patients with advanced osteosarcoma refractory to chemotherapy in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to osteosarcma treatment combining anti-angiogenesis tyrosine kinase inhibitors and anti-PD-1 antibody. PURPOSE: This research study is looking at the cancer genome using tumor samples from patients with advanced stage osteosarcoma treated on clinical trial SHR1020-SHR-1210-II-OS.
This early phase I trial studies how well glucarpidase works in reducing toxicity in patients with osteosarcoma receiving high dose methotrexate treatment. Glucarpidase may reduce the levels of methotrexate in patients' blood and lead to shorter hospitalizations and a reduction in toxicities.
Zoledronic acid is an adjuvant treatment for primary osteosarcoma. Zoledronic acid has been widely used in the treatment of metastatic bone tumors. In addition to its inhibition of tumor osteoclasis, it also produces certain killing of tumor cells. effect. Foreign studies have shown that zoledronic acid also has a killing effect on osteosarcoma and has a certain inhibitory effect on distant metastasis. We hope that it can reduce tumor recurrence and lung metastasis through this study.
Retrospectively collected 400 cases of clinical data and pathological paraffin specimens of osteosarcoma, chondrosarcoma (control) and endogenous chondroma (control) in our hospital from 2008 to 2014, combined with high-pressure cycle-satellite scanning mass spectrometry (PCT-SWATH) Molecular typing of osteosarcoma and prediction of targeted therapy, the establishment of a new molecular classification based on proteomics for osteosarcoma to predict the chemotherapy response and recurrence risk of osteosarcoma. Clinical osteosarcoma patients include as many types as possible: pre-chemotherapy, post-chemotherapy, recurrence, and metastasis. The study did not involve vulnerable groups, and it was taken as a postoperative wax specimen for patients, which had no health, life and other effects on patients. Study application exemption from informed consent.
hMe-Seal is a low-input whole-genome cell-free 5hmC sequencing method based on selective chemical labeling. It uses β-glucosyltransferase (βGT) to selectively label 5hmC with a biotin via an azide-modified glucose for pull-down of 5hmC-containing DNA fragments for sequencing. After selectively constructing 5hmC library, highthroughput-sequencing will be performed on an Illumina Nextseq-500 instrument. By ways of Rawdata processing, differential loci between Osteosarcoma group and control group will be detected to indentify specific epigenetic biomarkers of Osteosarcoma. From our previous trials, we identify geno sequencing related to beta-catenin pathways might have some relationship with osteosaroma primary or secondary drug resistance. Thus in this trial we try to further explore the drug resistance mechanism for advaced osteosarcoma second resistance to the combination therapy of Famitinib and Camrelizumab.
The purpose of this work is to carry out an exhaustive analysis of the characteristics of osteosarcoma in patients with an age equal to or greater than 40 years, in the Hospital de la Santa Creu and Sant Pau in Barcelona, during the years 1986-2016, with the objective to establish the factors that determine the disease and survival, as well as to evaluate the rates of limb salvage and amputation after neodyuvant chemotherapy. With the result of the results, the report of osteosarcoma and the age less than 40 years, with the aim of providing new information that is related to the appearance of osteosarcoma is available from 40 years.
Although there seems to be no benefit from improving the histologic response rate or long-term survival of intra-arterial infusion of cisplatin for localized osteosarcoma of extremities with IOR/OS-3, IOR/OS-5, and COSS 86 protocols, such a treatment strategy is still believed to potentially increase the tumoricidal effect with an increase in higher local concentrations of the infused agents combined with longer tissue exposure time. Besides, the relationship of chemotherapy-induced necrosis and surgical margins is still the main concern for localized osteosarcoma patients to achieve long-term survival. The investigators intend to analyze the gain and loss from transcatheter intra-arterial limb infusion of cisplatin for extremity osteosarcoma in the past six years.
This study is a Phase 1/1b clinical trial that aims to determine the Maximally Tolerated Dose of Losartan and Sunitinib Combination Therapy. Patients will first be accrued to the Dose Escalation phase of the study, using a 3+3 design. Medication dosages will increase until a maximally tolerated dose is found. Patients will then be accrued to the Dose Expansion phase of the trial, where efficacy of pre-determined dose will be preliminarily assessed.