Background: DR-70 is an immunoassay for fibrin and FDP in plasma and it has been shown useful in detection of over 14 different cancers. This study investigated the validity of the DR-70 test in gliomas as well as meningiomas.
Methods: 77 brain tumor patients as well as 40 healthy individuals were prospectively included in the study and investigated using DR-70 kit. The glioma cohort of 33 patients consisted of 1, 11, 6 and 15 WHO grade 1, 2, 3 and 4 gliomas, respectively. The meningioma cohort of 44 patients contained 38, 5 and 1 WHO grade 1, 2 and 3 tumors.
Results: Test results were significantly higher than control values for both gliomas and meningiomas. The most balanced sensitivity and specificity values were obtained at cut-off level of 0.5 μg/ml FDP for both gliomas and meningiomas. Above this cutoff level the relative-risk for having a glioma was 5.1 times higher compared to controls with sensitivity and specificity of 76% and 85%, respectively. The relative-risk for meningioma was 5.8 with a sensitivity and specificity of 87% and 85%, respectively.
Conclusion: FDP testing, which is a nonspecific cancer screening tool, is sensitive to the two most common primary brain malignancies, gliomas and meningiomas.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3233/CBM-140400 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Long Non-Coding RNAs in Malignant Human Brain Tumors: Driving Forces Behind Progression and Therapy.
Int J Mol Sci
January 2025
State Key Laboratory of Resource Insects, Medical Research Institute, Southwest University, Chongqing 400715, China.
Long non-coding RNAs (lncRNAs) play a pivotal role in regulating gene expression and are critically involved in the progression of malignant brain tumors, including glioblastoma, medulloblastoma, and meningioma. These lncRNAs interact with microRNAs (miRNAs), proteins, and DNA, influencing key processes such as cell proliferation, migration, and invasion. This review highlights the multifaceted impact of lncRNA dysregulation on tumor progression and underscores their potential as therapeutic targets to enhance the efficacy of chemotherapy, radiotherapy, and immunotherapy.
View Article and Find Full Text PDFComparing the Rates of Further Resection After Intraoperative MRI Visualisation of Residual Tumour Between Brain Tumour Subtypes: A 17-Year Single-Centre Experience.
Brain Sci
January 2025
Department of Neurosurgery, Royal Prince Alfred Hospital, Sydney 2050, Australia.
Background: Maximal safe resection is the objective of most neuro-oncological operations. Intraoperative magnetic resonance imaging (iMRI) may guide the surgeon to improve the extent of safe resection. There is limited evidence comparing the impact of iMRI on the rates of further resection between tumour types.
View Article and Find Full Text PDFGenetic ancestry superpopulations show distinct prevalence and outcomes across pediatric central nervous system tumors from the PBTA and PNOC.
Neuro Oncol
January 2025
Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Background: Central nervous system (CNS) tumors lead to cancer-related mortality in children. Genetic ancestry-associated cancer prevalence and outcomes have been studied, but is limited.
Methods: We performed genetic ancestry prediction in 1,452 pediatric patients with paired normal and tumor whole genome sequencing from the Open Pediatric Cancer (OpenPedCan) project to evaluate the influence of reported race and ethnicity and ancestry-based genetic superpopulations on tumor histology, molecular subtype, survival, and treatment.
Objective: To assist in the rapid clinical identification of brain tumor types while achieving segmentation detection, this study investigates the feasibility of applying the deep learning YOLOv5s algorithm model to the segmentation of brain tumor magnetic resonance images and optimizes and upgrades it on this basis.
Methods: The research institute utilized two public datasets of meningioma and glioma magnetic resonance imaging from Kaggle. Dataset 1 contains a total of 3,223 images, and Dataset 2 contains 216 images.
Applications of MR Finger printing derived T1 and T2 values in Adult brain: A Systematic review.
F1000Res
January 2025
Department of Medical Imaging Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Introduction: Magnetic resonance imaging (MRI) is essential for brain imaging, but conventional methods rely on qualitative contrast, are time-intensive, and prone to variability. Magnetic resonance finger printing (MRF) addresses these limitations by enabling fast, simultaneous mapping of multiple tissue properties like T1, T2. Using dynamic acquisition parameters and a precomputed signal dictionary, MRF provides robust, qualitative maps, improving diagnostic precision and expanding clinical and research applications in brain imaging.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!