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

MicroRNA Array Analysis Finds Elevated Serum miR-1290 Accurately Distinguishes Patients with Low-Stage Pancreatic Cancer from Healthy and Disease Controls

23 May 2013

Abstract excerpt

PURPOSE: Our goal was to identify circulating micro RNA (miRNA) levels that could distinguish patients with low-stage pancreatic cancer from healthy and disease controls. EXPERIMENTAL DESIGN: We measured 735 miRNAs in pancreatic cancer case and control sera by QRTPCR using TaqMan MicroRNA Arrays. After array analysis, we selected 18 miRNA candidates for validation in an independent set of cases and control...

Topics

Join the communities discussing this publication.

MicroRNA in disease regulation
Pancreatic and Hepatic Oncology Research
Pancreatitis Pathology and Treatment

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 23697990
DOI: 10.1158/1078-0432.ccr-12-3092

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MicroRNA Array Analysis Finds Elevated Serum miR-1290 Accurately Distinguishes Patients with Low-Stage Pancreatic Cancer from Healthy and Disease ControlsPMID 23697990Read ↗

Plasma miRNAs Effectively Distinguish Patients With Pancreatic Cancer From ControlsSemantic proximity Read ↗

Early detection of pancreatic cancer by comprehensive serum miRNA sequencing with automated machine learningSemantic proximity Read ↗

A Genome-Wide Investigation of MicroRNA Expression Identifies Biologically-Meaningful MicroRNAs That Distinguish between High-Risk and Low-Risk Intraductal Papillary Mucinous Neoplasms of the PancreasSemantic proximity Read ↗

Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAsSemantic proximity Read ↗

Novel blood-based microRNA biomarker panel for early diagnosis of pancreatic cancerSemantic proximity Read ↗

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

Sweating the small stuff: microRNAs and genetic changes define pancreatic cancer.Semantic proximity Read ↗

Novel blood-based microRNA biomarker panel for early diagnosis of chronic pancreatitisSemantic proximity Read ↗

Experimental Validation of a Potential Circulating microRNA Panel for Non-Invasive Pancreatic Cancer DiagnosisSemantic proximity Read ↗

miRNA profile in pancreatic neuroendocrine tumors: Preliminary resultsSemantic proximity Read ↗

Plasma microRNAs as biomarkers of pancreatic cancer risk in a prospective cohort studySemantic proximity Read ↗

A noninvasive urinary microRNA-based assay for the detection of pancreatic cancer from early to late stages: a case control studySemantic proximity Read ↗

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