View clinical trials related to Neoplasm, Residual.
Filter by: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.
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.
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.
This is a phase II study where patients will undergo isatuximab and lenalidomide maintenance if they are MRD-positive after Autologous Stem Cell Transplant (ASCT)
In this study, the investigators are hypothesizing that daratumumab-hyaluronidase will effectively treat T-ALL in patients who have persistent or recurrent MRD following treatment with chemotherapy.
Molecular analysis identifies residual disease by overcoming the sensitivity of imaging methods and therefore has the potential for integrating with therapy provided by FDG-PET alone. It is a well known fact that tumor DNA circulating in plasma (ctDNA) reflects the mutational profile of tumor cells and can be used to non-invasively detect specific mutations of Hodgkin's lymphoma without the need for microdissecting the histological sample.
ctDNALung-Detect is an investigator-initiated single arm, multi-institution study designed to assess the ctDNA detection rate and its association with Relapse Free Survival (RFS) in operable stage T1-T4 (T3,T4 multifocal) N0M0 non-small cell lung cancer (NSCLC) patients.