当前位置： SCI文献检索 > JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY期刊下所有文献 > Integrative metabolome and transcriptome profiling reveals discordant glycolysis process between osteosarcoma and normal osteoblastic cells.

Integrative metabolome and transcriptome profiling reveals discordant glycolysis process between osteosarcoma and normal osteoblastic cells.

Abstract：

BACKGROUND:Osteosarcoma (OS) is the most common primary malignant tumor of bone in children and adolescents. However, few biomarkers of diagnostic significance have been established. In recent years, high-throughput transcriptomic and metabolomic approaches make it possible for studying the levels of thousands of biomarkers simultaneously. METHODS:In this study, we integrated two disparate transcriptomic and metabolomic datasets to find meaningful biomarkers and then used an independent dataset to test the sensibility and specificity of these biomarkers. RESULTS:By using integrated two datasets, we discovered that the biomarkers involved in the glycolysis pathway are highly enriched, including 4 genes (ENO1, TPI1, PKG1 and LDHC) and 2 metabolites (lactate and pyruvate). The 4 genes were significantly down-regulated in OS samples as well as the 2 metabolites. The mixed metabolites + genes signature also outperformed metabolites or genes alone, with recall being 0.813 and F-measure being 0.812. And the AUC value of metabolites + genes classifier was 0.825 (compared to 0.58 for metabolites and 0.821 for genes alone). CONCLUSION:Our findings establish that integrated transcriptomic and metabolomic signature can be used to distinguish OS malignant with good diagnostic accuracy superior to other methods.

journal_name

J Cancer Res Clin Oncol

journal_title

Journal of cancer research and clinical oncology

authors

Chen K,Zhu C,Cai M,Fu D,Cheng B,Cai Z,Li G,Liu J

doi

10.1007/s00432-014-1719-y

subject

Has Abstract

pub_date

2014-10-01 00:00:00

pages

1715-21

issue

10

eissn

0171-5216

issn

1432-1335

journal_volume

140

pub_type

杂志文章

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