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 a novel miRNA-target gene regulatory network in osteosarcoma by integrating transcriptome analysis.

International journal of clinical and experimental pathology - 1 Jan 2015

He Chunlei, Gao Hui, Fan Xiaona, Wang Maoyuan, Liu Wuyang, Huang Weiming, Yang Yadong

Abstract excerpt

Osteosarcoma remains a leading cause of cancer death in children and young adolescents. Although the introduction of multiagent chemotherapy, survival rates have not improved in two decades. Therefore, it is urgently needed to know the details regarding molecular etiology to driving therapeutic inroads for this disease. In this study we performed an integrated analysis of miRNA and mRNA expression data to explore...

Read the complete abstract on PubMed

Topics

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

Share to Bone Neoplasms
Share to Gene Expression Profiling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Gene Regulatory Networks

Share to MicroRNAs

Share to Osteosarcoma

Share to Systems Biology

Share to Systems Integration

Source

Open in PubMed Open full text

Identifiers

PMID: 26339404
PMCID: PMC4555732

Genes

CCND2

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

Identification of a novel miRNA-target gene regulatory network in osteosarcoma by integrating transcriptome analysis.PMID 26339404Read ↗

Identification of critical genes associated with human osteosarcoma metastasis based on integrated gene expression profilingSemantic proximity Read ↗

Identification of co-expression modules and pathways correlated with osteosarcoma and its metastasisSemantic proximity Read ↗

Machine learning and experimental validation to construct a metastasis-related gene signature and ceRNA network for predicting osteosarcoma prognosisSemantic proximity Read ↗

Analysis of publicly available transcriptomic data to identify key genes and pathways associated with osteosarcoma metastasisSemantic proximity Read ↗

LINC00266-1/miR-548c-3p/SMAD2 feedback loop stimulates the development of osteosarcoma.Semantic proximity Read ↗

CA9 is an important molecular marker for the prognosis of osteosarcoma patientsSemantic proximity Read ↗

Comprehensive analysis of potential cellular communication networks in advanced osteosarcoma using single-cell RNA sequencing dataSemantic proximity Read ↗

Long non-coding RNAs in osteosarcomaSemantic proximity Read ↗

Unraveling the roles of miRNAs in regulating epithelial-to-mesenchymal transition (EMT) in osteosarcomaSemantic proximity Read ↗

12 Survival-related differentially expressed genes based on the TARGET-osteosarcoma databaseSemantic proximity Read ↗

Metastasis‑associated gene MAPK15 promotes the migration and invasion of osteosarcoma cells via the c‑Jun/MMPs pathwaySemantic proximity Read ↗

The multiple function of long noncoding RNAs in osteosarcoma progression, drug resistance and prognosisSemantic proximity Read ↗

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