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Expression of LOC285758, a potential long non-coding biomarker, is methylation-dependent and correlates with glioma malignancy grade Cover

Expression of LOC285758, a potential long non-coding biomarker, is methylation-dependent and correlates with glioma malignancy grade

Open Access
|Jan 2017

Figures & Tables

Figure 1

Venn’s diagram of lncRNAs that were significantly differentially expressed using microarray screening of lncRNAs involved in epigenetic mechanisms and/or pathways. (A) Number of lncRNAs in regard to the number of subtypes in which they were found differentially expressed (the number of subtypes rises from the outer circle (one subtype) towards the inner one (four subtypes)). (B) The number of lncRNAs found differentially expressed in all four analysed subtypes (using two levels of stringency – absolute fold change cut-off value of 1.5 and (2)).
Venn’s diagram of lncRNAs that were significantly differentially expressed using microarray screening of lncRNAs involved in epigenetic mechanisms and/or pathways. (A) Number of lncRNAs in regard to the number of subtypes in which they were found differentially expressed (the number of subtypes rises from the outer circle (one subtype) towards the inner one (four subtypes)). (B) The number of lncRNAs found differentially expressed in all four analysed subtypes (using two levels of stringency – absolute fold change cut-off value of 1.5 and (2)).

Figure 2

(A) Differential expression of LOC285758 in individual samples (y-axis presents ΔΔCT values). (B) Comparison of average ΔΔCT values for individual glioma subtype, determined by microarray and qPCR. Oligoastrocytoma samples were not included in microarray analysis. ΔΔCT represents difference of gene’s expression in comparison to brain reference RNA, and the positive values mean that gene’s levels are increased. p-values were determined for qPCR data (ANOVA for comparing all five subtypes and Mann-Whitney U-test for comparing two subtypes).
(A) Differential expression of LOC285758 in individual samples (y-axis presents ΔΔCT values). (B) Comparison of average ΔΔCT values for individual glioma subtype, determined by microarray and qPCR. Oligoastrocytoma samples were not included in microarray analysis. ΔΔCT represents difference of gene’s expression in comparison to brain reference RNA, and the positive values mean that gene’s levels are increased. p-values were determined for qPCR data (ANOVA for comparing all five subtypes and Mann-Whitney U-test for comparing two subtypes).

Figure 3

Scatter plots showing (A)LOC285758 expression (qPCR) in association to methylation status. Unmethylated samples showed higher expression levels compared to methylated ones. (B)LOC285758 expression and promoter methylation status significantly differ regarding the WHO malignancy grade and (C) glioma subtype, especially comparing astrocytoma grade I-III (all samples were methylated) to grade IV (GBMs were largely unmethylated).Promoter methylation: 0 = unmethylated, 1 = methylated
Scatter plots showing (A)LOC285758 expression (qPCR) in association to methylation status. Unmethylated samples showed higher expression levels compared to methylated ones. (B)LOC285758 expression and promoter methylation status significantly differ regarding the WHO malignancy grade and (C) glioma subtype, especially comparing astrocytoma grade I-III (all samples were methylated) to grade IV (GBMs were largely unmethylated).Promoter methylation: 0 = unmethylated, 1 = methylated

Association of LOC285758 expression with patients demographic data and glioma hallmark biomarkers: mutations of IDH1 and TP53, copy number variations of CDKN2A and CDKN2B, and loss of chromosome arm 1p and 19q (1p/19q co-deletion)

LOC285758 expressionLOC285758 promoter methylation

rsp-valuersp-value
Gender-0.0440.6340.0090.920
Age at diagnosis (< 45y >)0.0650.475-0.313< 0.001
WHO grade (low/high)0.2130.019-0.433< 0.001
IDH1 (wt/mut)0.375< 0.0010.0960.331
TP53(wt/mut)-0.0830.4830.1530.178
1p loss (wt/del)0.3100.005-0.396< 0.001
19q loss (wt/del)0.2670.032-0.3600.002
1p/19q loss (wt/del)0.2620.014-0.373< 0.001
CDKN2A (wt/del)0.0850.477-0.2310.042
CDKN2B (wt/del)0.0930.435-0.2400.033

Patients’ demographics and glioma histopathological classification

Patients demographic
Number of patients157
Gender (female/male)67/90 (1 : 1.34)
Mean age at diagnosis (years)43.8 (SD ±18,89)
# < 45 years86
# > 45 years71
Glioma classificationGlioma subtypeWHO grade
Astrocytoma (AC)15 pilocyticWHO I
9 diffuseWHO II
11 diffuse with signs of anaplasiaWHO II-III
9 anaplasticWHO III
23 secondary GBMWHO IV
31 primary GBMWHO IV
Oligodendroglioma (ODG)4 diffuseWHO II
5 diffuse with signs of anaplasiaWHO II-III
28 anaplasticWHO III
Oligoastrocytoma (OAC)2 diffuseWHO II
3 diffuse with signs of anaplasiaWHO II-III
17 anaplasticWHO III

Primers used for validation of LOC285758 expression profiling results, reference genes and determining methylation status of lncRNA’s promoter

Quantitative real-time PCR
GeneAssay IDAmplicon length (bp)Annealing temperature (°C)
LOC285758Hs.PT.58.2601274812960
GAPDHQT000792479555
GenePrimer sequence (5’ - 3’)Amplicon length (bp)Annealing temperature (°C)
U6CTCGCTTCGGCAGCACA AACGCTTCACGAATTTGCGT9460
Methylation sensitive HRM
GeneOligonucleotide sequence (5’ – 3’)Amplicon length (bp)Annealing temperature (°C)
LOC285758 FTTGTTTTTTGAAAGTTTTTTGA11855
LOC285758 RAAACACAAAAAACCTAACAAAAA

Top 10 lncRNAs that showed significantly increased/decreased expression in four glioma subtypes, using the LncPath Human Epigenetic Pathway microarray (ArrayStar, USA)

Astrocytoma II+III

II+III – tumours of WHO grade II and III; (abs) = absolute value; FC = fold change

Secondary GBMPrimary GBMOligodendroglioma

FC(abs)Gene NameFC(abs)Gene NameFC(abs)Gene NameFC(abs)Gene Name
TOP 10 OVER-EXPRESSED
9.775RP11-434O22.19.840APOC211.343AK02455610.085RP6-201G10.2
7.863LOC2857589.105AK0245569.761FJ2093027.233LOC285758
6.203LOC1001290347.971LOC1001290349.402AK0556286.241GAS5
5.247RP11-264F23.37.578AK0556289.267H195.454RP11-264F23.3
5.211RP6-201G10.24.509RP11-145M9.37.012RP11-434O22.15.360LOC100216546
5.107APOC24.243RP11-73E17.26.720APOC25.043SNRPE
4.374RP11-770J1.33.657KB-1836B5.15.527LOC2857584.991AK024556
4.211HOXA11-AS3.394H194.851LOC1002165464.930AC009506.1
3.861RP3-405J24.12.878BANCR4.770LOC1001290344.351RP11-73E17.2
3.795AK0556282.695AB4478864.525HOXA11-AS3.846LOC286059
TOP 10 UNDER-EXPRESSED
9.638RP11-678P16.124.555MEG322.494MEG343.328RP11-678P16.1
7.026XLOC_01336811.341AK05492116.532AK05492123.879FABP5P3
6.797AK0549218.050AF52079211.157RP11-678P16.118.840DGCR5
6.148MEG36.845DGCR58.208DGCR58.073MEG3
6.003RP11-18F14.26.623XLOC_0133688.207XLOC_0133687.092AK054921
5.820HAR1A6.470AK0549707.979HAR1B6.887XLOC_013368
5.052SNAR-A26.243HAR1A6.325HAR1A6.318NEAT1
4.216FABP5P36.114XIST6.218SNAR-A26.205SEPT7P6
4.082RP11-325F22.45.799MIAT6.066RP11-208G20.26.090CASC2
3.887SEPT7P65.712SNAR-A25.652XLOC_0080145.873TMSB10P2
DOI: https://doi.org/10.1515/raon-2017-0004 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 331 - 341
Submitted on: Oct 24, 2016
Accepted on: Nov 22, 2016
Published on: Jan 14, 2017
Published by: Association of Radiology and Oncology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Alenka Matjasic, Mara Popovic, Bostjan Matos, Damjan Glavac, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution 4.0 License.