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

Tumor DNA Methylation Profiles Enable Diagnosis, Prognosis Prediction, and Screening for Cervical Cancer

1 Jun 2022

Abstract excerpt

Background: DNA-methylation-based machine learning algorithms have demonstrated powerful diagnostic capabilities, and these tools are currently emerging in many fields of tumor diagnosis and patient prognosis prediction. This work aimed to identify novel DNA methylation diagnostic biomarkers for differentiating cervical cancer (CC) from normal tissues, as well as a prognostic prediction model to predict survival...

Read the complete abstract on PubMed

Topics

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

Share to AI in cancer detection
Share to Endometrial and Cervical Cancer Treatments
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35789774
DOI: 10.2147/ijgm.s352373

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Tumor DNA Methylation Profiles Enable Diagnosis, Prognosis Prediction, and Screening for Cervical CancerPMID 35789774Read ↗

Five candidate biomarkers associated with the diagnosis and prognosis of cervical cancerSemantic proximity Read ↗

DNA methylation data–based molecular subtype classification related to the prognosis of patients with cervical cancerSemantic proximity Read ↗

A novel methylation-detection panel for HPV associated high-grade squamous intraepithelial lesion and cervical cancer screeningSemantic proximity Read ↗

Identification of CD28 and PTEN as novel prognostic markers for cervical cancerSemantic proximity Read ↗

Exploration of DNA methylation markers for diagnosis and prognosis of patients with endometrial cancerSemantic proximity Read ↗

Discovery and technical validation of high-performance methylated DNA markers for the detection of cervical lesions at risk of malignant progression in low- and middle-income countriesSemantic proximity Read ↗

Discovery of new methylation markers to improve screening for cervical intraepithelial neoplasia grade 2/3Semantic proximity Read ↗

Systematic assessment of cervical cancer initiation and progression uncovers genetic panels for deep learning-based early diagnosis and proposes novel diagnostic and prognostic biomarkersSemantic proximity Read ↗

DNA methylation signatures of cervical pre‐invasive and invasive disease: An epigenome‐wide association studySemantic proximity Read ↗

HPV-related methylation-based reclassification and risk stratification of cervical cancer.Semantic proximity Read ↗

A novel methylation-detection panel for HPV associated high-grade squamous intraepithelial lesion and cervical cancer screeningSemantic proximity Read ↗

Identification of Tumor Microenvironment and DNA Methylation-Related Prognostic Signature for Predicting Clinical Outcomes and Therapeutic Responses in Cervical CancerSemantic proximity Read ↗

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