Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Pivot Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Target Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Query: UMLS:C0019204 (
hepatocellular carcinoma
)
71,386
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
Hepatocellular carcinoma
(
HCC
) is an aggressive and deadly cancer. The molecular pathogenesis of the disease remains poorly understood. To better understand
HCC
biology and explore potential biomarkers and therapeutic targets, we investigated the whole transcriptome of
HCC
. Considering the genetic heterogeneity of
HCC
, four datasets from four studies consisting of 15 pairs of
HCC
and adjacent normal samples were analyzed. We observed that the number of lncRNAs expressed in each
HCC
sample was consistently greater than the adjacent normal sample. Moreover, 15 lncRNAs were identified expressed in five to seven
HCC
tissues but were not detected in any adjacent normal tissue. Differential expression analysis detected 35 up- and 80 down-regulated lncRNAs in
HCC
samples compared with adjacent normal samples. In addition, five differentially expressed lncRNAs were predicted to play a role in oxidation and reduction process. With regard to splicing alterations, we identified nine highly recurrent differential splicing events belonging to eight genes USO1, RPS24, CCDC50,
THNSL2
, NUMB, FN1 (two events), SLC39A14 and NR1I3. Of them, splicing alterations of SLC39A14 and NR1I3 were reported for the association with
HCC
for the first time. The splicing dysregulation in
HCC
may be influenced by three splicing factors ESRP2, CELF2 and SRSF5 which were significantly down-regulated in
HCC
samples. This study revealed uncharacterized aspects of
HCC
transcriptome and identified important lncRNAs and splicing isoforms with the potential to serve as biomarkers and therapeutic targets for the disease.
...
PMID:Identification of important long non-coding RNAs and highly recurrent aberrant alternative splicing events in hepatocellular carcinoma through integrative analysis of multiple RNA-Seq datasets. 2671 44