View clinical trials related to Sarcoma.
Filter by:This is an open-label, non-randomized, single-institution, single arm Phase II study conducted using a Simon two-stage design with an additional safety lead-in. The overall objective is to determine the efficacy of combination doxorubicin with dual checkpoint blockade with anti-CTLA-4 antibody AGEN1884 and anti-PD-1 antibody AGEN2034. The investigators will estimate the progression-free survival rate at 6 months (PFS6mo) of doxorubicin plus AGEN1884/AGEN2034 in comparison to historical PFS6mo with doxorubicin monotherapy, calculated as the mean from two large randomized Phase 3 clinical trials.
Soft tissue sarcoma is a relatively rare malignant tumor with an incidence of about 1-2/100,000. The best way to obtain evidence-based medical evidence is to participate in clinical trials with new drugs (especially targeted drugs and immunotherapy). Chidamide, an oral subtype-selective histone deacetylase inhibitor monotherapy was effective on the patients with hematological tumors by inhibiting HDAC activity and other ways, showing good anti-tumor activity. Histone deacetylase inhibitors (HDACi) may also reverse drug resistance or inefficiency of immunoassay inhibitors, and combination therapy has shown preliminary efficacy in a variety of tumors.Because of the poor prognosis of advanced soft tissue sarcoma, there is no standard second-line treatment. Therefore, we think it is necessary to explore the feasibility of combination of chidamide and Toripalimab monoclonal antibody in advanced, refractory and progressive soft tissue sarcoma after failure of standard treatment, and look forward to further improving the efficacy of soft tissue sarcoma.
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.
Apatinib mesylate is a multitarget receptor tyrosine kinase inhibitor. This trial is to evaluate the efficacy and safety of apatinib mesylate combined with doxorubicin and ifosfamide in the treatment of advanced soft tissue sarcoma.
This is a biology driven, monocentric study, designed to identify biomarkers of activity of trabectedin in patients with advanced non-L soft-tissue sarcoma. The aim of this study is to implement high-throughput profiling technologies to identify predictive biomarkers of trabectedin efficacy through sequential tumor biopsies and blood sample collection in sarcoma patients.
This clinical trial is an interventional, active-treatment, open-label, multi-center, Phase 1/2 study. The study objectives are to assess the safety, tolerability and pharmacokinetics (PK) of CYT-0851 in patients with relapsed/refractory B-cell malignancies and advanced solid tumors and to identify a recommended Phase 2 dose as a monotherapy and in combination with chemotherapy for evaluation in these patients.
The purpose of this study is to continue to provide olaratumab to eligible patients who are currently receiving olaratumab commercially for the treatment of soft tissue sarcoma (STS).
sEphB-HSA may prevent tumor cells from multiplying and blocks several compounds that promote the growth of blood vessels that bring nutrients to the tumor. The purpose of this study is to learn if sEphB4-HSA will decrease the number or size of Kaposi sarcoma lesions in people.
After a screening, which consists of biopsy, physical examination, initial diffusion-weighted magnetic resonance imaging (DWI-MRI) or body computed tomography (CT) scan, blood tests and case analysis on Multidisciplinary Team (MDT) meeting, a patient will receive the hypofractionated radiotherapy 10x 3.25 Gy with regional hyperthermia (twice a week) within two weeks. The response analysis in CT or DWI-MRI and toxicity assessment will be performed after at least 6 weeks. At the second MDT meeting, a final decision about resectability of the tumor will be made. In case of resectability or consent for amputation, if required, a patient will be referred to surgery. In case of unresectability or amputation refusal, the patient will receive the second part of the treatment which consists of 4x 4 Gy with hyperthermia (twice a week).
Phase I, multicentre clinical trial of olaratumab plus trabectedin in patients with advanced soft-tissue sarcoma. Olaratumab plus trabectedin could be synergistic and with a manageable toxicity profile in advanced STS. The study is a phase I, non-randomised, one-armed, multicenter trial, open-label. The dose escalation rules include patients in blocks of 3 o 6 patient. Treatment is a combination of unlimited cycles of oralatumab and trabectedin. Primary clinical study endpoint of phase I: - Determine the maximum tolerated dose (MTD) or the recommended dose of olaratumab combined with trabectedin in advanced soft tissue sarcoma Secondary clinical study endpoints: - Objective Response Rate (ORR): ORR is defined as the number of subjects with a Best Overall Response (BOR) according to RECIST 1.1. - Progression free survival (PFS): time to progression or death from treatment initiation. - Overall survival (OS): Time from treatment initiation until death. Efficacy measured through tumor response according to Choi criteria. The evaluation criteria will be based on the identification of target lesions in baseline and their follow-up until tumor progression. - Correlation of clinical outcome with translational biomarkers. - Quality of life (QoL) measured per QLQ-C30 questionnaire of EORTC