View clinical trials related to Neoplasm, Residual.
Filter by:This is an open-label, Phase I study of QN-030a (allogeneic NK cell therapy) in Acute Myeloid Leukemia Minimal Residual Disease(AML MRD). This clinical study is to evaluate the safety, tolerability and preliminary efficacy of QN-020a in patients with AML MRD, where a "3+3" enrollment schema will be utilized at dose escalation stage. Up to 18 patients will be enrolled.
In our study, the ultra-deep sequencing of circulating tumor DNA (ctDNA) and urine tumor DNA (utDNA) were performed to assess whether ctDNA and utDNA can be used as predictive biomarkers for the detection of minimal residual disease (MRD) and early diagnosis of UTUC recurrence, and explored the role of ctDNA and utDNA detection of MRD in the prediction of adjuvant therapy efficacy and prognostic evaluation.
The presence of minimal residual disease (MRD) is an important prognostic factor for multiple myeloma, while M-protein is a widely accepted biomarker used for multiple myeloma (MM) diagnose. Detecting MRD by monitoring M-protein using mass spectrometry (MS) is promising due to its high analytical sensitivity. To evaluate the correlation between MS-MRD and overall disease burden, over 60 patients with 500+ samples were identified for this study. The M-protein sequence and the patient-specific M-protein peptides of each patient were obtained by de novo protein sequencing platform using the diagnostic serum (> 30g/L). The follow- up samples were then measured by a parallel reaction monitoring (PRM) assay.
In this study, a large-scale cohort of cervical cancer patients was established in multiple centers. Minimal residual disease(MRD) was assessed by ddPCR detection of HPV E7 gene ctDNA to assess tumor burden and predict the risk of disease recurrence, so as to provide new biomarkers for precise treatment of cervical cancer patients. The study continued until 36 months after the end of treatment.
Short-term relapse and poor survival are prevalent in patients with pancreatic adenocarcinoma (PAAD) after surgeries. Despite the importance of adjuvant treatments for resected PAAD patients, there is currently no suitable biomarker to identify those individuals with high risk of recurrence and inform therapeutic decision making. In this study, we aim to examine whether postoperative circulating tumor DNA (ctDNA) could be used as a biomarker for early detection of minimal residual disease (MRD) and predicting relapse in resected PAAD through high-depth targeted next-generation sequencing.
To study the efficacy of sintilimab combined with anlotinib for perioperative non-small cell lung cancer. To explore the clearance effect of sintilimab combined with anlotinib for postoperative adjuvant therapy based on evaluating minimal residual disease.
A single-center, single-arm, open-label, interventional, phase II clinical trial to evaluate the efficacy and safety of InO in B-ALL achieved CR/CRi after 1L induction chemotherapy with positive minimal residual disease.
The purpose of this study is to see whether receiving local ablative therapy (LAT) when minimal residual disease/MRD levels are rising can reduce MRD levels and control metastatic non-small cell lung cancer/NSCLC longer compared to systemic therapy.
So far, MRD assessment by liquid biopsy (ctDNA) has not been used to predict postoperative treatment efficacy and recurrence risk of GIST patients because of special disease characteristics and technological limitations. Therefore, we conducted this prospective multi-center, single-arm observational study to collect 45 operable patients with locally advanced, suspected high-risk GIST. NGS genetic testing platform is used to detect tumour tissues and peripheral ctDNA will also be dectected. we try to explore the correlation between PFS/OS and MRD in high-risk GIST patients by analyzing the relationship between dynamic changes in ctDNA mutation spectrum and postoperative adjuvant therapy efficacy, and to evaluate MRD-based genomic characteristics to guide further treatment.
This is an observational case-control study to train and validate a genome-wide methylome enrichment platform to detect multiple cancer types and to differentiate amongst cancer types. The cancers included in this study are brain, breast, bladder, cervical, colorectal, endometrial, esophageal, gastric, head and neck, hepatobiliary, leukemia, lung, lymphoma, multiple myeloma, ovarian, pancreatic, prostate, renal, sarcoma, and thyroid. These cancers were selected based on their prevalence and mortality to maximize impact on clinical care. Additionally, the ability of the whole-genome methylome enrichment platform to detect minimal residual disease after completion of cancer treatment and to detect relapse prior to clinical presentation will be evaluated in four cancer types (breast, colorectal, lung, prostate). These cancers were selected based on the existing clinical landscape and treatment availability.