The Diversity of Methylation Patterns in Serous Borderline Ovarian Tumors and Serous Ovarian Carcinomas

<b>Background</b>: Changes in DNA methylation patterns are a pivotal mechanism of carcinogenesis. In some tumors, aberrant methylation precedes genetic changes, while gene expression may be more frequently modified due to methylation alterations than by mutations. <b>Methods</b>: Herein, 128 serous ovarian tumors were analyzed, including borderline ovarian tumors (BOTS) with (BOT.V600E) and without (BOT) the <i>BRAF</i> V600E mutation, low-grade (lg), and high-grade (hg) ovarian cancers (OvCa). The methylome of the samples was profiled with Infinium MethylationEPIC microarrays. <b>Results</b>: The biggest number of differentially methylated (DM) CpGs and regions (DMRs) was found between lgOvCa and hgOvCa. By contrast, the BOT.V600E tumors had the lowest number of DM CpGs and DMRs compared to all other groups and, in relation to BOT, their genome was strongly downmethylated. Remarkably, the ten most significant DMRs, discriminating BOT from lgOvCa, encompassed the MHC region on chromosome 6. We also identified hundreds of DMRs, being of potential use as predictive biomarkers in BOTS and hgOvCa. DMRs with the best discriminative capabilities overlapped the following genes: <i>BAIAP3</i>, <i>IL34</i>, <i>WNT10A</i>, <i>NEU1</i>, <i>SLC44A4,</i> and <i>HMOX1</i>, <i>TCN2</i>, <i>PES1</i>, <i>RP1-56J10.8</i>, <i>ABR</i>, <i>NCAM1</i>, <i>RP11-629G13.1</i>, <i>AC006372.4</i>, <i>NPTXR</i> in BOTS and hgOvCa, respectively. <b>Conclusions</b>: The global genome-wide hypomethylation positively correlates with the increasing aggressiveness of ovarian tumors. We also assume that the immune system may play a pivotal role in the transition from BOTS to lgOvCa. Given that the BOT.V600E tumors had the lowest number of DM CpGs and DMRs compared to all other groups, when methylome is considered, such tumors might be placed in-between BOT and OvCa.

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Publication Details

Journal
Cancers
Published
2024-10-18
DOI
https://doi.org/10.3390/cancers16203524
Citations
2
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.47

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article

The Diversity of Methylation Patterns in Serous Borderline Ovarian Tumors and Serous Ovarian Carcinomas

Laura Aleksandra Szafron, Roksana Iwanicka‐Nowicka, Agnieszka Dansonka‐Mieszkowska, Lukasz M. Szafron et al.
2 citations
Cancers
Epigenetics and DNA Methylation
0.47
article

The Diversity of Methylation Patterns in Serous Borderline Ovarian Tumors and Serous Ovarian Carcinomas

Laura Aleksandra Szafron, Roksana Iwanicka‐Nowicka, Agnieszka Dansonka‐Mieszkowska, Lukasz M. Szafron, Jolanta Kupryjańczyk, Marta Koblowska, Piotr Sobiczewski
article en
2 citations

Abstract

<b>Background</b>: Changes in DNA methylation patterns are a pivotal mechanism of carcinogenesis. In some tumors, aberrant methylation precedes genetic changes, while gene expression may be more frequently modified due to methylation alterations than by mutations. <b>Methods</b>: Herein, 128 serous ovarian tumors were analyzed, including borderline ovarian tumors (BOTS) with (BOT.V600E) and without (BOT) the <i>BRAF</i> V600E mutation, low-grade (lg), and high-grade (hg) ovarian cancers (OvCa). The methylome of the samples was profiled with Infinium MethylationEPIC microarrays. <b>Results</b>: The biggest number of differentially methylated (DM) CpGs and regions (DMRs) was found between lgOvCa and hgOvCa. By contrast, the BOT.V600E tumors had the lowest number of DM CpGs and DMRs compared to all other groups and, in relation to BOT, their genome was strongly downmethylated. Remarkably, the ten most significant DMRs, discriminating BOT from lgOvCa, encompassed the MHC region on chromosome 6. We also identified hundreds of DMRs, being of potential use as predictive biomarkers in BOTS and hgOvCa. DMRs with the best discriminative capabilities overlapped the following genes: <i>BAIAP3</i>, <i>IL34</i>, <i>WNT10A</i>, <i>NEU1</i>, <i>SLC44A4,</i> and <i>HMOX1</i>, <i>TCN2</i>, <i>PES1</i>, <i>RP1-56J10.8</i>, <i>ABR</i>, <i>NCAM1</i>, <i>RP11-629G13.1</i>, <i>AC006372.4</i>, <i>NPTXR</i> in BOTS and hgOvCa, respectively. <b>Conclusions</b>: The global genome-wide hypomethylation positively correlates with the increasing aggressiveness of ovarian tumors. We also assume that the immune system may play a pivotal role in the transition from BOTS to lgOvCa. Given that the BOT.V600E tumors had the lowest number of DM CpGs and DMRs compared to all other groups, when methylome is considered, such tumors might be placed in-between BOT and OvCa.

CancersVol. 16(20)
Institute of Biochemistry and Biophysics, Polish Academy of Sciences (PL), The Maria Sklodowska-Curie National Research Institute of Oncology (PL), University of Warsaw (PL)
Narodowe Centrum Nauki
Reduced inequalities
Openalex Percentile: Top 35%
Epigenetics and DNA Methylation
0.47
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