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

Identification of CD28 and PTEN as novel prognostic markers for cervical cancer

26 Oct 2018

Abstract excerpt

Cervical cancer (CC) is the most common malignant tumor with poor clinical outcome among women. Identification of novel biomarkers could be beneficial for the clinical diagnosis and treatment of CC. This study aimed to identify prognostic biomarkers for the prediction of prognostic status of CC patients, and explore the effect of the corresponding methylated genes in the occurrence and development of CC. The...

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 Epigenetics and DNA Methylation
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 30362552
DOI: 10.1002/jcp.27453

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

Identification of CD28 and PTEN as novel prognostic markers for cervical cancerPMID 30362552Read ↗

Tumor DNA Methylation Profiles Enable Diagnosis, Prognosis Prediction, and Screening for Cervical CancerSemantic proximity Read ↗

Identification of Key Pathways and Establishment of a Seven-Gene Prognostic Signature in Cervical CancerSemantic proximity Read ↗

A novel four-gene prognostic signature as a risk biomarker in cervical cancerSemantic 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 ↗

MicroRNA expression in cervical cancer: Novel diagnostic and prognostic biomarkersSemantic proximity Read ↗

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

Identification of Prognostic miRNA Signature and Lymph Node Metastasis-Related Key Genes in Cervical CancerSemantic proximity Read ↗

Prognostic genes in the tumor microenvironment in cervical squamous cell carcinomaSemantic proximity Read ↗

SNX10 and PTGDS are associated with the progression and prognosis of cervical squamous cell carcinomaSemantic proximity Read ↗

Identification and Verification of a Four-Gene Signature Predicting Overall Survival for Cervical CancerSemantic proximity Read ↗

SNX10 and PTGDS are Associated with the Progression and Prognosis of Cervical Squamous Cell CarcinomaSemantic proximity Read ↗

Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor MicroenvironmentSemantic proximity Read ↗

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