Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues

14 Sept 2023

Abstract excerpt

Identifying the primary site of metastatic cancer is critical to guiding the subsequent treatment. Approximately 3-9% of metastatic patients are diagnosed with cancer of unknown primary sites (CUP) even after a comprehensive diagnostic workup. However, a widely accepted molecular test is still not available. Here, we report a method that applies formalin-fixed, paraffin-embedded tissues to construct reduced...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Diagnosis and Treatment
Share to Oral and Maxillofacial Pathology
Share to Tumors and Oncological Cases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37709764
DOI: 10.1038/s41467-023-41015-0

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissuesPMID 37709764Read ↗

Deep learning-based classifier for carcinoma of unknown primary using methylation quantitative trait lociSemantic proximity Read ↗

Evaluating DNA Methylation, Gene Expression, Somatic Mutation, and Their Combinations in Inferring Tumor Tissue-of-OriginSemantic proximity Read ↗

Accurate Identification of Primary Site in Tumors of Unknown Origin (TUO) Using DNA MethylationSemantic proximity Read ↗

Accurate Identification of Primary Site in Tumors of Unknown Origin (TUO) Using DNA MethylationSemantic proximity Read ↗

Cancer of unknown primary.Semantic proximity Read ↗

Tissue of origin prediction for cancer of unknown primary using a targeted methylation sequencing panelSemantic proximity Read ↗

Massively-parallel sequencing assists the diagnosis and guided treatment of cancers of unknown primary.Semantic proximity Read ↗

A Fast, Affordable, and Minimally Invasive Diagnostic Test for Cancer of Unknown Primary Using DNA Methylation ProfilingSemantic proximity Read ↗

A machine learning framework to trace tumor tissue-of-origin of 13 types of cancer based on DNA somatic mutation.Semantic proximity Read ↗

A deep learning system can accurately classify primary and metastatic cancers based on patterns of passenger mutationsSemantic proximity Read ↗

Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors.Semantic proximity Read ↗

Image-based deep learning model using DNA methylation data predicts the origin of cancer of unknown primarySemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.