Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer

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Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer. / Lopacinska-Joergensen, Joanna; Oliveira, Douglas V.N.P.; Hoegdall, Claus K.; Hoegdall, Estrid V.

I: In Vivo, Bind 36, Nr. 3, 05.2022, s. 1059-1066.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Lopacinska-Joergensen, J, Oliveira, DVNP, Hoegdall, CK & Hoegdall, EV 2022, 'Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer', In Vivo, bind 36, nr. 3, s. 1059-1066. https://doi.org/10.21873/invivo.12803

APA

Lopacinska-Joergensen, J., Oliveira, D. V. N. P., Hoegdall, C. K., & Hoegdall, E. V. (2022). Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer. In Vivo, 36(3), 1059-1066. https://doi.org/10.21873/invivo.12803

Vancouver

Lopacinska-Joergensen J, Oliveira DVNP, Hoegdall CK, Hoegdall EV. Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer. In Vivo. 2022 maj;36(3):1059-1066. https://doi.org/10.21873/invivo.12803

Author

Lopacinska-Joergensen, Joanna ; Oliveira, Douglas V.N.P. ; Hoegdall, Claus K. ; Hoegdall, Estrid V. / Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer. I: In Vivo. 2022 ; Bind 36, Nr. 3. s. 1059-1066.

Bibtex

@article{799bfe63c10146a38d1e86ab0413becb,
title = "Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer",
abstract = "Background/Aim: MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate gene expression and have been associated with the development of various cancers, including epithelial ovarian cancer (EOC). Accurate quantification of miRNA levels is important for determining their role in tumorigenesis and as biomarkers. Currently, U6 is widely used as a normalization control when investigating miRNAs in EOC; however, its variable expression across cancers has been reported. As only a few studies have been published to date on the identification of endogenous miRNA controls in EOC, our aim was to identify stable miRNAs based on global microarray profiling of 197 EOC patients and verify their stability in external datasets. Materials and Methods: We collected miRNA-microarray data from four datasets: the in-house “Pelvic Mass”, and three public datasets with primary EOC patients: The Cancer Genome Atlas, GSE47841, and GSE73581. The expression stability of endogenous control candidates was evaluated by their coefficient of variation. Results: All miRNA results in the used cohorts were produced by either Affymetrix or Agilent technologies, which show similar intra-platform patterns. Nonetheless, a clear difference in a cross-platform comparison was observed. We identified hsa-miR-92b-5p and hsa-miR-106b-3p as stable candidates shared between four datasets. Moreover, we investigated the stability performance of eight miRNAs that have been previously reported as stable endogenous controls in EOC and various performance was observed in four datasets. Conclusion: The selection of suitable endogenous miRNA normalization controls in EOC remains to be resolved, as variability in miRNA performance between platforms might have a crucial impact on the biological interpretation of data.",
keywords = "epithelial ovarian cancer, normalization, Stable endogenous miRNAs",
author = "Joanna Lopacinska-Joergensen and Oliveira, {Douglas V.N.P.} and Hoegdall, {Claus K.} and Hoegdall, {Estrid V.}",
note = "Publisher Copyright: {\textcopyright} 2022 International Institute of Anticancer Research. All rights reserved.",
year = "2022",
month = may,
doi = "10.21873/invivo.12803",
language = "English",
volume = "36",
pages = "1059--1066",
journal = "In Vivo",
issn = "0258-851X",
publisher = "International Institute of Anticancer Research",
number = "3",

}

RIS

TY - JOUR

T1 - Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer

AU - Lopacinska-Joergensen, Joanna

AU - Oliveira, Douglas V.N.P.

AU - Hoegdall, Claus K.

AU - Hoegdall, Estrid V.

N1 - Publisher Copyright: © 2022 International Institute of Anticancer Research. All rights reserved.

PY - 2022/5

Y1 - 2022/5

N2 - Background/Aim: MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate gene expression and have been associated with the development of various cancers, including epithelial ovarian cancer (EOC). Accurate quantification of miRNA levels is important for determining their role in tumorigenesis and as biomarkers. Currently, U6 is widely used as a normalization control when investigating miRNAs in EOC; however, its variable expression across cancers has been reported. As only a few studies have been published to date on the identification of endogenous miRNA controls in EOC, our aim was to identify stable miRNAs based on global microarray profiling of 197 EOC patients and verify their stability in external datasets. Materials and Methods: We collected miRNA-microarray data from four datasets: the in-house “Pelvic Mass”, and three public datasets with primary EOC patients: The Cancer Genome Atlas, GSE47841, and GSE73581. The expression stability of endogenous control candidates was evaluated by their coefficient of variation. Results: All miRNA results in the used cohorts were produced by either Affymetrix or Agilent technologies, which show similar intra-platform patterns. Nonetheless, a clear difference in a cross-platform comparison was observed. We identified hsa-miR-92b-5p and hsa-miR-106b-3p as stable candidates shared between four datasets. Moreover, we investigated the stability performance of eight miRNAs that have been previously reported as stable endogenous controls in EOC and various performance was observed in four datasets. Conclusion: The selection of suitable endogenous miRNA normalization controls in EOC remains to be resolved, as variability in miRNA performance between platforms might have a crucial impact on the biological interpretation of data.

AB - Background/Aim: MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate gene expression and have been associated with the development of various cancers, including epithelial ovarian cancer (EOC). Accurate quantification of miRNA levels is important for determining their role in tumorigenesis and as biomarkers. Currently, U6 is widely used as a normalization control when investigating miRNAs in EOC; however, its variable expression across cancers has been reported. As only a few studies have been published to date on the identification of endogenous miRNA controls in EOC, our aim was to identify stable miRNAs based on global microarray profiling of 197 EOC patients and verify their stability in external datasets. Materials and Methods: We collected miRNA-microarray data from four datasets: the in-house “Pelvic Mass”, and three public datasets with primary EOC patients: The Cancer Genome Atlas, GSE47841, and GSE73581. The expression stability of endogenous control candidates was evaluated by their coefficient of variation. Results: All miRNA results in the used cohorts were produced by either Affymetrix or Agilent technologies, which show similar intra-platform patterns. Nonetheless, a clear difference in a cross-platform comparison was observed. We identified hsa-miR-92b-5p and hsa-miR-106b-3p as stable candidates shared between four datasets. Moreover, we investigated the stability performance of eight miRNAs that have been previously reported as stable endogenous controls in EOC and various performance was observed in four datasets. Conclusion: The selection of suitable endogenous miRNA normalization controls in EOC remains to be resolved, as variability in miRNA performance between platforms might have a crucial impact on the biological interpretation of data.

KW - epithelial ovarian cancer

KW - normalization

KW - Stable endogenous miRNAs

UR - http://www.scopus.com/inward/record.url?scp=85128949215&partnerID=8YFLogxK

U2 - 10.21873/invivo.12803

DO - 10.21873/invivo.12803

M3 - Journal article

C2 - 35478140

AN - SCOPUS:85128949215

VL - 36

SP - 1059

EP - 1066

JO - In Vivo

JF - In Vivo

SN - 0258-851X

IS - 3

ER -

ID: 346451055