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

A novel multimodal prediction model based on DNA methylation biomarkers and low-dose computed tomography images for identifying early-stage lung cancer

1 Jan 2023

Abstract excerpt

ObjectiveDNA methylation alterations are early events in carcinogenesis and immune signalling in lung cancer. This study aimed to develop a model based on short stature homeobox 2 gene (SHOX2)/prostaglandin E receptor 4 gene (PTGER4) DNA methylation in plasma, appearance subtype of pulmonary nodules (PNs) and low-dose computed tomography (LDCT) images to distinguish early-stage lung cancers. MethodsWe developed a...

Read the complete abstract on PubMed

Topics

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

Share to Cancer-related molecular mechanisms research
Share to Lung Cancer Diagnosis and Treatment
Share to Radiomics and Machine Learning in Medical Imaging

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 37969955
DOI: 10.21147/j.issn.1000-9604.2023.05.08

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A novel multimodal prediction model based on DNA methylation biomarkers and low-dose computed tomography images for identifying early-stage lung cancerPMID 37969955Read ↗

A Panel of DNA Methylation Biomarkers for Detection and Improving Diagnostic Efficiency of Lung CancerSemantic proximity Read ↗

Validation of the SHOX2 / PTGER4 DNA Methylation Marker Panel for Plasma-Based Discrimination between Patients with Malignant and Nonmalignant Lung DiseaseSemantic proximity Read ↗

Detection of the DNA methylation of seven genes contribute to the early diagnosis of lung cancerSemantic proximity Read ↗

Diagnostic performance of SHOX2 promoter methylation as biomarker for lung cancer identification: A meta‐analysis updateSemantic proximity Read ↗

Diagnostic performance of RASSF1A and SHOX2 methylation combined with EGFR mutations for differentiation between small pulmonary nodules.Semantic proximity Read ↗

A clinically effective model based on cell-free DNA methylation and low-dose CT for risk stratification of pulmonary nodulesSemantic proximity Read ↗

A systematic review and meta analysis of the valve of SHOX2 and RASSF1A gene methylation in bronchial elveslar lavage fluid in the diagnosis of lung cancerSemantic proximity Read ↗

A Novel Epigenetic Signature for Early Diagnosis in Lung CancerSemantic proximity Read ↗

A combined model of circulating tumor DNA methylated SHOX2/SCT/HOXA7 and clinical features facilitates the discrimination of malignant from benign pulmonary nodulesSemantic proximity Read ↗

Enhancing the differential diagnosis of small pulmonary nodules: a comprehensive model integrating plasma methylation, protein biomarkers, and LDCT imaging featuresSemantic proximity Read ↗

The Combination of SHOX2 and RASSF1A DNA Methylation Had a Diagnostic Value in Pulmonary Nodules and Early Lung CancerSemantic proximity Read ↗

DNA methylation analysis in plasma for early diagnosis in lung adenocarcinomaSemantic proximity Read ↗

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