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 tp53-associated nomogram to predict the overall survival in patients with pancreatic cancer.

BMC cancer - 31 Mar 2021

Liu Xun, Chen Bobo, Chen Jiahui, Sun Shaolong

Abstract excerpt

BACKGROUND: Gene mutations play critical roles in tumorigenesis and cancer development. Our study aimed to screen survival-related mutations and explore a novel gene signature to predict the overall survival in pancreatic cancer. METHODS: Somatic mutation data from three cohorts were used to identify the common survival-related gene mutation with Kaplan-Meier curves. RNA-sequencing data were used to explore the...

Read the complete abstract on PubMed

Topics

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

Share to Aged
Share to Cohort Studies
Share to Nomograms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Pancreatic Neoplasms

Share to Prognosis

Share to Sequence Analysis, RNA

Share to Survival Analysis

Share to Tumor Suppressor Protein p53

Source

Open in PubMed Open full text

Identifiers

PMID: 33789615
DOI: 10.1186/s12885-021-08066-2
PMCID: PMC8011162

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A novel tp53-associated nomogram to predict the overall survival in patients with pancreatic cancer.PMID 33789615Read ↗

Comprehensive machine-learning survival framework develop a consensus model in large scale multi-center cohorts for pancreatic cancerSemantic proximity Read ↗

Development and Validation of a 7-Gene Prognostic Signature to Improve Survival Prediction in Pancreatic Ductal AdenocarcinomaSemantic proximity Read ↗

PAC-5 Gene Expression Signature for Predicting Prognosis of Patients with Pancreatic AdenocarcinomaSemantic proximity Read ↗

Development of a four-gene prognostic model for pancreatic cancer based on transcriptome dysregulationSemantic proximity Read ↗

A TP53-associated immune prognostic signature for the prediction of the overall survival and therapeutic responses in pancreatic cancer.Semantic proximity Read ↗

Integrated Analysis of Multi-Omics Data to Identify Prognostic Genes for Pancreatic Cancer.Semantic proximity Read ↗

Identification of a Nine-Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival of Pancreatic CancerSemantic proximity Read ↗

Construction of a five-gene prognostic model based on immune-related genes for the prediction of survival in pancreatic cancerSemantic proximity Read ↗

Establishment of a Prognostic Prediction System Based on Tumor Microenvironment of Pancreatic CancerSemantic proximity Read ↗

A Five-microRNA Signature for Survival Prognosis in Pancreatic Adenocarcinoma based on TCGA DataSemantic proximity Read ↗

A Novel Immune-Related Gene Prognostic Index (IRGPI) in Pancreatic Adenocarcinoma (PAAD) and Its Implications in the Tumor MicroenvironmentSemantic proximity Read ↗

Identification and Validation of Constructing the Prognostic Model With Four DNA Methylation-Driven Genes in Pancreatic CancerSemantic proximity Read ↗

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