A 4-miRNA signature to predict survival in glioblastomas

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Standard

A 4-miRNA signature to predict survival in glioblastomas. / Hermansen, Simon K; Sørensen, Mia D; Hansen, Anker; Knudsen, Steen; Alvarado, Alvaro G; Lathia, Justin D; Kristensen, Bjarne W.

I: PLoS One, Bind 12, Nr. 11, 2017, s. e0188090.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Hermansen, SK, Sørensen, MD, Hansen, A, Knudsen, S, Alvarado, AG, Lathia, JD & Kristensen, BW 2017, 'A 4-miRNA signature to predict survival in glioblastomas', PLoS One, bind 12, nr. 11, s. e0188090. https://doi.org/10.1371/journal.pone.0188090

APA

Hermansen, S. K., Sørensen, M. D., Hansen, A., Knudsen, S., Alvarado, A. G., Lathia, J. D., & Kristensen, B. W. (2017). A 4-miRNA signature to predict survival in glioblastomas. PLoS One, 12(11), e0188090. https://doi.org/10.1371/journal.pone.0188090

Vancouver

Hermansen SK, Sørensen MD, Hansen A, Knudsen S, Alvarado AG, Lathia JD o.a. A 4-miRNA signature to predict survival in glioblastomas. PLoS One. 2017;12(11):e0188090. https://doi.org/10.1371/journal.pone.0188090

Author

Hermansen, Simon K ; Sørensen, Mia D ; Hansen, Anker ; Knudsen, Steen ; Alvarado, Alvaro G ; Lathia, Justin D ; Kristensen, Bjarne W. / A 4-miRNA signature to predict survival in glioblastomas. I: PLoS One. 2017 ; Bind 12, Nr. 11. s. e0188090.

Bibtex

@article{6eb55df018f149efb78df1387d509692,
title = "A 4-miRNA signature to predict survival in glioblastomas",
abstract = "Glioblastomas are among the most lethal cancers; however, recent advances in survival have increased the need for better prognostic markers. microRNAs (miRNAs) hold great prognostic potential being deregulated in glioblastomas and highly stable in stored tissue specimens. Moreover, miRNAs control multiple genes representing an additional level of gene regulation possibly more prognostically powerful than a single gene. The aim of the study was to identify a novel miRNA signature with the ability to separate patients into prognostic subgroups. Samples from 40 glioblastoma patients were included retrospectively; patients were comparable on all clinical aspects except overall survival enabling patients to be categorized as short-term or long-term survivors based on median survival. A miRNome screening was employed, and a prognostic profile was developed using leave-one-out cross-validation. We found that expression patterns of miRNAs; particularly the four miRNAs: hsa-miR-107_st, hsa-miR-548x_st, hsa-miR-3125_st and hsa-miR-331-3p_st could determine short- and long-term survival with a predicted accuracy of 78%. Heatmap dendrograms dichotomized glioblastomas into prognostic subgroups with a significant association to survival in univariate (HR 8.50; 95% CI 3.06-23.62; p<0.001) and multivariate analysis (HR 9.84; 95% CI 2.93-33.06; p<0.001). Similar tendency was seen in The Cancer Genome Atlas (TCGA) using a 2-miRNA signature of miR-107 and miR-331 (miR sum score), which were the only miRNAs available in TCGA. In TCGA, patients with O6-methylguanine-DNA-methyltransferase (MGMT) unmethylated tumors and low miR sum score had the shortest survival. Adjusting for age and MGMT status, low miR sum score was associated with a poorer prognosis (HR 0.66; 95% CI 0.45-0.97; p = 0.033). A Kyoto Encyclopedia of Genes and Genomes analysis predicted the identified miRNAs to regulate genes involved in cell cycle regulation and survival. In conclusion, the biology of miRNAs is complex, but the identified 4-miRNA expression pattern could comprise promising biomarkers in glioblastoma stratifying patients into short- and long-term survivors.",
author = "Hermansen, {Simon K} and S{\o}rensen, {Mia D} and Anker Hansen and Steen Knudsen and Alvarado, {Alvaro G} and Lathia, {Justin D} and Kristensen, {Bjarne W}",
year = "2017",
doi = "10.1371/journal.pone.0188090",
language = "English",
volume = "12",
pages = "e0188090",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "11",

}

RIS

TY - JOUR

T1 - A 4-miRNA signature to predict survival in glioblastomas

AU - Hermansen, Simon K

AU - Sørensen, Mia D

AU - Hansen, Anker

AU - Knudsen, Steen

AU - Alvarado, Alvaro G

AU - Lathia, Justin D

AU - Kristensen, Bjarne W

PY - 2017

Y1 - 2017

N2 - Glioblastomas are among the most lethal cancers; however, recent advances in survival have increased the need for better prognostic markers. microRNAs (miRNAs) hold great prognostic potential being deregulated in glioblastomas and highly stable in stored tissue specimens. Moreover, miRNAs control multiple genes representing an additional level of gene regulation possibly more prognostically powerful than a single gene. The aim of the study was to identify a novel miRNA signature with the ability to separate patients into prognostic subgroups. Samples from 40 glioblastoma patients were included retrospectively; patients were comparable on all clinical aspects except overall survival enabling patients to be categorized as short-term or long-term survivors based on median survival. A miRNome screening was employed, and a prognostic profile was developed using leave-one-out cross-validation. We found that expression patterns of miRNAs; particularly the four miRNAs: hsa-miR-107_st, hsa-miR-548x_st, hsa-miR-3125_st and hsa-miR-331-3p_st could determine short- and long-term survival with a predicted accuracy of 78%. Heatmap dendrograms dichotomized glioblastomas into prognostic subgroups with a significant association to survival in univariate (HR 8.50; 95% CI 3.06-23.62; p<0.001) and multivariate analysis (HR 9.84; 95% CI 2.93-33.06; p<0.001). Similar tendency was seen in The Cancer Genome Atlas (TCGA) using a 2-miRNA signature of miR-107 and miR-331 (miR sum score), which were the only miRNAs available in TCGA. In TCGA, patients with O6-methylguanine-DNA-methyltransferase (MGMT) unmethylated tumors and low miR sum score had the shortest survival. Adjusting for age and MGMT status, low miR sum score was associated with a poorer prognosis (HR 0.66; 95% CI 0.45-0.97; p = 0.033). A Kyoto Encyclopedia of Genes and Genomes analysis predicted the identified miRNAs to regulate genes involved in cell cycle regulation and survival. In conclusion, the biology of miRNAs is complex, but the identified 4-miRNA expression pattern could comprise promising biomarkers in glioblastoma stratifying patients into short- and long-term survivors.

AB - Glioblastomas are among the most lethal cancers; however, recent advances in survival have increased the need for better prognostic markers. microRNAs (miRNAs) hold great prognostic potential being deregulated in glioblastomas and highly stable in stored tissue specimens. Moreover, miRNAs control multiple genes representing an additional level of gene regulation possibly more prognostically powerful than a single gene. The aim of the study was to identify a novel miRNA signature with the ability to separate patients into prognostic subgroups. Samples from 40 glioblastoma patients were included retrospectively; patients were comparable on all clinical aspects except overall survival enabling patients to be categorized as short-term or long-term survivors based on median survival. A miRNome screening was employed, and a prognostic profile was developed using leave-one-out cross-validation. We found that expression patterns of miRNAs; particularly the four miRNAs: hsa-miR-107_st, hsa-miR-548x_st, hsa-miR-3125_st and hsa-miR-331-3p_st could determine short- and long-term survival with a predicted accuracy of 78%. Heatmap dendrograms dichotomized glioblastomas into prognostic subgroups with a significant association to survival in univariate (HR 8.50; 95% CI 3.06-23.62; p<0.001) and multivariate analysis (HR 9.84; 95% CI 2.93-33.06; p<0.001). Similar tendency was seen in The Cancer Genome Atlas (TCGA) using a 2-miRNA signature of miR-107 and miR-331 (miR sum score), which were the only miRNAs available in TCGA. In TCGA, patients with O6-methylguanine-DNA-methyltransferase (MGMT) unmethylated tumors and low miR sum score had the shortest survival. Adjusting for age and MGMT status, low miR sum score was associated with a poorer prognosis (HR 0.66; 95% CI 0.45-0.97; p = 0.033). A Kyoto Encyclopedia of Genes and Genomes analysis predicted the identified miRNAs to regulate genes involved in cell cycle regulation and survival. In conclusion, the biology of miRNAs is complex, but the identified 4-miRNA expression pattern could comprise promising biomarkers in glioblastoma stratifying patients into short- and long-term survivors.

U2 - 10.1371/journal.pone.0188090

DO - 10.1371/journal.pone.0188090

M3 - Journal article

C2 - 29136645

VL - 12

SP - e0188090

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 11

ER -

ID: 364506201