Expression of long non-coding RNA ANRIL predicts a poor prognosis in intrahepatic cholangiocarcinoma.


Journal

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
ISSN: 1878-3562
Titre abrégé: Dig Liver Dis
Pays: Netherlands
ID NLM: 100958385

Informations de publication

Date de publication:
09 2019
Historique:
received: 07 02 2019
revised: 05 03 2019
accepted: 22 03 2019
pubmed: 2 5 2019
medline: 9 4 2020
entrez: 2 5 2019
Statut: ppublish

Résumé

Intrahepatic cholangiocarcinoma (iCCA) is a deadly cancer worldwide associated with an increased incidence, limited therapeutic options and absence of reliable prognostic biomarkers. Long non-coding RNAs (lncRNA) emerge as relevant biomarkers in cancer being associated with tumor progression. However, lncRNA have been poorly investigated in iCCA. To identify lncRNA significantly associated with the survival of patients with iCCA after tumor resection for curative intent. Gene expression profiling and Q-RT-PCR were performed from a cohort of 39 clinically well-annotated iCCA. Univariate Cox proportional hazards model with Wald Statistic was used to identify lncRNA significantly associated with overall (OS) and/or disease-free (DFS) survival. A signature made of 9 lncRNA was identified to be significantly (P < 0.05) associated with OS and DFS, including 4 lncRNA (lnc-CDK9-1, XLOC_l2_009441, CDKN2B-AS1, HOXC13-AS) highly expressed in poor prognosis iCCA and 5 lncRNA (lnc-CCHCR1-1, lnc-AF131215.3.1, lnc-CBLB-5, COL18A1-AS2, lnc-RELL2-1) highly expressed in better prognosis iCCA. We further validated CDKN2B-AS1 (ANRIL) as a poor prognosis biomarker, not only in iCCA, but also in hepatocellular carcinoma, kidney renal clear cell carcinoma and uterine corpus endometrial carcinoma. We report a prognosis lncRNA signature in iCCA and the clinical relevance of CDKN2B-AS1 (ANRIL) overexpression in several cancers.

Sections du résumé

BACKGROUND
Intrahepatic cholangiocarcinoma (iCCA) is a deadly cancer worldwide associated with an increased incidence, limited therapeutic options and absence of reliable prognostic biomarkers. Long non-coding RNAs (lncRNA) emerge as relevant biomarkers in cancer being associated with tumor progression. However, lncRNA have been poorly investigated in iCCA.
AIM
To identify lncRNA significantly associated with the survival of patients with iCCA after tumor resection for curative intent.
METHODS
Gene expression profiling and Q-RT-PCR were performed from a cohort of 39 clinically well-annotated iCCA. Univariate Cox proportional hazards model with Wald Statistic was used to identify lncRNA significantly associated with overall (OS) and/or disease-free (DFS) survival.
RESULTS
A signature made of 9 lncRNA was identified to be significantly (P < 0.05) associated with OS and DFS, including 4 lncRNA (lnc-CDK9-1, XLOC_l2_009441, CDKN2B-AS1, HOXC13-AS) highly expressed in poor prognosis iCCA and 5 lncRNA (lnc-CCHCR1-1, lnc-AF131215.3.1, lnc-CBLB-5, COL18A1-AS2, lnc-RELL2-1) highly expressed in better prognosis iCCA. We further validated CDKN2B-AS1 (ANRIL) as a poor prognosis biomarker, not only in iCCA, but also in hepatocellular carcinoma, kidney renal clear cell carcinoma and uterine corpus endometrial carcinoma.
CONCLUSIONS
We report a prognosis lncRNA signature in iCCA and the clinical relevance of CDKN2B-AS1 (ANRIL) overexpression in several cancers.

Identifiants

pubmed: 31040073
pii: S1590-8658(19)30525-0
doi: 10.1016/j.dld.2019.03.019
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
CDKN2B antisense RNA, human 0
RNA, Long Noncoding 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1337-1343

Informations de copyright

Copyright © 2019 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.

Auteurs

Gaëlle Angenard (G)

Inserm, Univ Rennes, Inra, Institut NuMeCan (Nutrition Metabolisms and Cancer), CHU Rennes, Centre de Lutte contre le Cancer Eugène Marquis, Rennes, France.

Aude Merdrignac (A)

Inserm, Univ Rennes, Inra, Institut NuMeCan (Nutrition Metabolisms and Cancer), CHU Rennes, Centre de Lutte contre le Cancer Eugène Marquis, Rennes, France.

Corentin Louis (C)

Inserm, Univ Rennes, Inra, Institut NuMeCan (Nutrition Metabolisms and Cancer), CHU Rennes, Centre de Lutte contre le Cancer Eugène Marquis, Rennes, France.

Julien Edeline (J)

Inserm, Univ Rennes, Inra, Institut NuMeCan (Nutrition Metabolisms and Cancer), CHU Rennes, Centre de Lutte contre le Cancer Eugène Marquis, Rennes, France.

Cédric Coulouarn (C)

Inserm, Univ Rennes, Inra, Institut NuMeCan (Nutrition Metabolisms and Cancer), CHU Rennes, Centre de Lutte contre le Cancer Eugène Marquis, Rennes, France. Electronic address: cedric.coulouarn@inserm.fr.

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Classifications MeSH