Detection of Circulating Tumor-specific DNA Methylation Markers in the Blood of Patients with Pituitary Tumors.
Wells, M.; Asmaro, K. P.; Sabedot, T. S.; Malta, T. M.; Mosella, M. S.; Nelson, K.; Snyder, J.; deCarvalho, A.; Mukherjee, A.; Chitale, D.; Robin, A.; Rosemblum, M.; Mikkelsen, T.; Poisson, L. M.; Lee, I. Y.; Walbert, T.; Bahn, A.; Kalkanis, S.; Rock, J.; Noushmehr, H.; Castro, A. V.
Show abstract
Genome-wide DNA methylation aberrations are pervasive and associated with clinicopathological features across pituitary tumors (PT) subtypes. The feasibility to detect CpG methylation abnormalities in circulating cell-free DNA (cfDNA) has been reported in central nervous system tumors other than PT. Here, we aimed to profile and identify methylome-based signatures in the serum of patients harboring PT (n =13). Our analysis indicated that serum cfDNA methylome from patients with PT are distinct from the counterparts in patients with other tumors (gliomas, meningiomas, colorectal carcinomas, n =134) and nontumor conditions (n = 4). Furthermore, the serum methylome patterns across PT was associated with functional status and adenohypophyseal cell lineage PT subtypes, recapitulating epigenetic features reported in PT-tissue. A machine learning algorithm using serum PT-specific signatures generated a score that distinguished PT from non-PT conditions with 100% accuracy in our validation set. These preliminary results underpin the potential clinical application of a liquid biopsy-based DNA methylation profiling as a noninvasive approach to identify clinically relevant epigenetic markers that can be used in the management of PT.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Rapid DNA methylation-based classification of pediatric brain tumours from ultrasonic aspirate specimens 91%
- High Frequency and Unique Subtypes of Meningioma in Patients with BAP1 Tumor Predisposition Syndrome 88%
- Leveraging Single-Cell Sequencing to Classify and Characterize Tumor Subgroups in Bulk RNA-Sequencing Data 88%
Similar papers in this journal
- Identification and validation of liquid biopsy-based methylation biomarkers: a germ cell tumor subtype-specific study 92%
- Deep plasma proteomics identifies and validates an eight-protein biomarker panel that separate benign from malignant tumors in ovarian cancer 87%
- LUNAR: A Deep Learning Model to Predict Glioma Recurrence Using Integrated Genomic and Clinical Data 87%
Similar papers in this journal
- TET CpG sequence context specific DNA demeth-ylation shapes progression of IDH-mutant gliomas 91%
- A longitudinal single-cell and spatial multiomic atlas of pediatric high-grade glioma 88%
- Single-molecule systems for detection and monitoring of plasma circulating nucleosomes and oncoproteins in Diffuse Midline Glioma 87%
Similar papers in this journal
- DNA Methylation-based Signatures Classify Sporadic Pituitary Tumors According to Clinicopathological Features. 94%
- A subset of pediatric thalamic gliomas share a distinct DNA methylation profile, H3K27me3 loss and frequent alteration of EGFR 91%
- Transcriptomic landscape identifies two unrecognized ependymoma subtypes and novel pathways in medulloblastoma 90%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.