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 Prognostic Biomarkers by Combined mRNA and miRNA Expression Microarray Analysis in Pancreatic Cancer

6 Apr 2018

Abstract excerpt

Pancreatic cancer is the fourth leading cause for cancer-related death, and early diagnosis is one key to improve the survival rate of this disease. Molecular biomarkers are an important method for diagnostic use in pancreatic cancer. We used data from three mRNA microarray datasets and a microRNA dataset (GSE16515, GSE15471, GSE28735, and GSE41372) to identify potential key genes. Differentially expressed genes...

Read the complete abstract on PubMed

Topics

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

Share to MicroRNA in disease regulation
Share to Pancreatic and Hepatic Oncology Research
Share to Renal and related cancers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 29631214
DOI: 10.1016/j.tranon.2018.03.003

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of Prognostic Biomarkers by Combined mRNA and miRNA Expression Microarray Analysis in Pancreatic CancerPMID 29631214Read ↗

Bioinformatics Analysis of a Prognostic miRNA Signature and Potential Key Genes in Pancreatic CancerSemantic proximity Read ↗

An Integrated Data Analysis of mRNA, miRNA and Signaling Pathways in Pancreatic CancerSemantic proximity Read ↗

Identification of potential microRNA panels for pancreatic cancer diagnosis using microarray datasets and bioinformatics methodsSemantic proximity Read ↗

Development of a 12-biomarkers-based prognostic model for pancreatic cancer using multi-omics integrated analysis.Semantic proximity Read ↗

Identification of Blood-based Non-invasive Biomarkers and Therapeutic Agents against Pancreatic Ductal Adenocarcinoma (PDAC): A Network-based StudySemantic proximity Read ↗

In Silico RNA-Seq Analysis Reveals Key Transcriptomic Signatures in Pancreatic CancerSemantic proximity Read ↗

An Integrative Data Mining for the Identification and Validation of Oncogenic Biomarkers in Pancreatic CarcinomaSemantic proximity Read ↗

RNA sequencing analyses reveal novel differentially expressed genes and pathways in pancreatic cancerSemantic proximity Read ↗

Integrating MicroRNA Expression Profiling Studies to Systematically Evaluate the Diagnostic Value of MicroRNAs in Pancreatic Cancer and Validate Their Prognostic Significance with the Cancer Genome Atlas DataSemantic proximity Read ↗

Network‐based integration of mRNA and miRNA profiles reveals new target genes involved in pancreatic cancerSemantic proximity Read ↗

RUNX2 and LAMC2: promising pancreatic cancer biomarkers identified by an integrative data mining of pancreatic adenocarcinoma tissuesSemantic proximity Read ↗

Integrated Bioinformatics Analysis of Gene Expression Profiles for Potential Biomarker Identification Towards Early Therapeutic Intervention in Pancreatitis and Pancreatic ductal adenocarcinomaSemantic proximity Read ↗

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