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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Exploration of Targeted Anti-tumor Therapy</journal-id>
<journal-title-group>
<journal-title>Exploration of Targeted Anti-tumor Therapy</journal-title>
</journal-title-group>
<issn pub-type="epub">2692-3114</issn>
<publisher>
<publisher-name>Open Exploration</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">100221</article-id>
<article-id pub-id-type="doi">10.37349/etat.2020.00021</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Downregulation of 15-hydroxyprostaglandin dehydrogenase during acquired tamoxifen resistance and association with poor prognosis in ER&#x03B1;-positive breast cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7851-4533</contrib-id>
<name>
<surname>Volpato</surname>
<given-names>Milene</given-names>
</name>
<xref ref-type="aff" rid="AFF1"><sup>1</sup></xref>
<xref ref-type="fn" rid="FN1"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5663-5548</contrib-id>
<name>
<surname>Cummings</surname>
<given-names>Michele</given-names>
</name>
<xref ref-type="aff" rid="AFF1"><sup>1</sup></xref>
<xref ref-type="fn" rid="FN1"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5784-8705</contrib-id>
<name>
<surname>Shaaban</surname>
<given-names>Abeer M.</given-names>
</name>
<xref ref-type="aff" rid="AFF2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9056-3453</contrib-id>
<name>
<surname>Abderrahman</surname>
<given-names>Balkees</given-names>
</name>
<xref ref-type="aff" rid="AFF1"><sup>1</sup></xref>
<xref ref-type="aff" rid="AFF3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7414-1576</contrib-id>
<name>
<surname>Hull</surname>
<given-names>Mark A.</given-names>
</name>
<xref ref-type="aff" rid="AFF1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Maximov</surname>
<given-names>Philipp Y.</given-names>
</name>
<xref ref-type="aff" rid="AFF3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Broom</surname>
<given-names>Bradley M.</given-names>
</name>
<xref ref-type="aff" rid="AFF4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hoppe</surname>
<given-names>Reiner</given-names>
</name>
<xref ref-type="aff" rid="AFF5"><sup>5</sup></xref>
<xref ref-type="aff" rid="AFF6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Ping</given-names>
</name>
<xref ref-type="aff" rid="AFF3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7531-2736</contrib-id>
<name>
<surname>Brauch</surname>
<given-names>Hiltrud</given-names>
</name>
<xref ref-type="aff" rid="AFF5"><sup>5</sup></xref>
<xref ref-type="aff" rid="AFF6"><sup>6</sup></xref>
<xref ref-type="aff" rid="AFF7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5818-037X</contrib-id>
<name>
<surname>Jordan</surname>
<given-names>V. Craig</given-names>
</name>
<xref ref-type="aff" rid="AFF4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0602-4666</contrib-id>
<name>
<surname>Speirs</surname>
<given-names>Valerie</given-names>
</name>
<xref ref-type="aff" rid="AFF1"><sup>1</sup></xref>
<xref ref-type="aff" rid="AFF8"><sup>8</sup></xref>
<xref ref-type="corresp" rid="C1"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="academic-editor">
<name>
<surname>Langdon</surname>
<given-names>Simon</given-names>
</name>
</contrib>
<aff id="AFF1"><label>1</label>Leeds Institute of Medical Research, University of Leeds, St James&#x2019;s University Hospital, LS9 7TF Leeds, UK</aff>
<aff id="AFF2"><label>2</label>Institute of Cancer and Genomic Sciences, University of Birmingham, B15 2TT Birmingham, UK</aff>
<aff id="AFF3"><label>3</label>Department of Breast Medical Oncology, UT MD Anderson Cancer Center, Houston, TX 77030, USA</aff>
<aff id="AFF4"><label>4</label>Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center, Houston, TX 77030, USA</aff>
<aff id="AFF5"><label>5</label>Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology and University of T&#x00FC;bingen, Auerbachstr. 112, D-70376 Stuttgart, Germany</aff>
<aff id="AFF6"><label>6</label>Germany iFIT Cluster of Excellence, University of T&#x00FC;bingen, Auerbachstr. 112, D-70376 Stuttgart, Germany</aff>
<aff id="AFF7"><label>7</label>German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany</aff>
<aff id="AFF8"><label>8</label>Institute of Medical Sciences, University of Aberdeen, Foresterhill, AB25 2ZD Aberdeen, UK</aff>
<aff id="AFF9">University of Edinburgh, UK</aff>
</contrib-group>
<author-notes>
<fn id="FN1"><label>&#x2020;</label><p>These authors contributed equally to this work.</p></fn>
<corresp id="C1"><label>&#x0002A;</label><bold>Correspondence:</bold> Valerie Speirs, Institute of Medical Sciences, University of Aberdeen, AB25 2ZD Aberdeen, UK. valerie. <email>speirs@abdn.ac.uk</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>10</month>
<year>2020</year>
</pub-date>
<volume>1</volume>
<fpage>355</fpage>
<lpage>371</lpage>
<history>
<date date-type="received">
<day>09</day>
<month>06</month>
<year>2020</year></date>
<date date-type="accepted">
<day>18</day>
<month>09</month>
<year>2020</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; The Author(s) 2020.</copyright-statement>
<copyright-year>2020</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p></license>
</permissions>
<abstract>
<sec><title>Aim:</title>
<p>Tamoxifen (TAM) resistance remains a clinical issue in breast cancer. The authors previously reported that 15-hydroxyprostaglandin dehydrogenase (<italic>HPGD</italic>) was significantly downregulated in tamoxifen-resistant (TAMr) breast cancer cell lines. Here, the authors investigated the relationship between HPGD expression, TAM resistance and prediction of outcome in breast cancer.</p>
</sec>
<sec><title>Methods:</title>
<p><italic>HPGD</italic> overexpression and silencing studies were performed in isogenic TAMr and parental human breast cancer cell lines to establish the impact of HPGD expression on TAM resistance. HPGD expression and clinical outcome relationships were explored using immunohistochemistry and <italic>in silico</italic> analysis.</p>
</sec>
<sec><title>Results:</title>
<p>Restoration of <italic>HPGD</italic> expression and activity sensitised TAMr MCF-7 cells to TAM and 17&#x03B2;-oestradiol, whilst <italic>HPGD</italic> silencing in parental MCF-7 cells reduced TAM sensitivity. TAMr cells released more prostaglandin E<sub>2</sub> (PGE<sub>2</sub>) than controls, which was reduced in TAMr cells stably transfected with <italic>HPGD</italic>. Exogenous PGE<sub>2</sub> signalled through the EP4 receptor to reduce breast cancer cell sensitivity to TAM. Decreased HPGD expression was associated with decreased overall survival in ER&#x03B1;-positive breast cancer patients.</p>
</sec>
<sec><title>Conclusions:</title>
<p>HPGD downregulation in breast cancer is associated with reduced response to TAM therapy via PGE<sub>2</sub>-EP4 signalling and decreases patient survival. The data offer a potential target to develop combination therapies that may overcome acquired tamoxifen resistance.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Breast cancer</kwd>
<kwd>endocrine resistance</kwd>
<kwd>15-hydroxyprostaglandin dehydrogenase</kwd>
<kwd>immunohistochemistry</kwd>
<kwd>survival</kwd>
</kwd-group></article-meta>
</front>
<body>
<sec id="s1"><title>Introduction</title>
<p>Due to its ability to bind to and modulate oestrogen receptor alpha (ER&#x03B1;) activity, Tamoxifen (TAM) was the first targeted therapy for breast cancer &#x0005B;<xref ref-type="bibr" rid="B1">1</xref>&#x0005D;, with its widespread use in the clinic now extending to four decades. While aromatase inhibitors are now the preferred first line endocrine treatment in the post-menopausal setting &#x0005B;<xref ref-type="bibr" rid="B2">2</xref>&#x0005D;, TAM is favoured in pre-menopausal breast cancer patients &#x0005B;<xref ref-type="bibr" rid="B3">3</xref>&#x0005D;. However, approximately 70&#x00025; of patients initially respond to TAM, but most eventually acquire resistance &#x0005B;<xref ref-type="bibr" rid="B2">2</xref>&#x0005D;. Acquisition of TAM-resistance (TAMr) continues to be a major limitation for long-term management of breast cancer patients. However, the mechanism(s) responsible for TAM insensitivity is not yet fully understood.</p>
<p>In the last three decades, various groups have developed cell line models in order to help unravel the mechanistic basis of TAMr. Most of these have been achieved through long term culture of the hormone-sensitive MCF-7 human breast cancer cells in sub-lethal doses of TAM, during which resistant sub-clones develop after 3&#x2013;6 months &#x0005B;<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>&#x0005D;. Using two independently-derived ER positive MCF-7 human breast cancer cell models of acquired TAMr developed in our laboratory &#x0005B;<xref ref-type="bibr" rid="B9">9</xref>&#x0005D;, an Affymetrix<sup>&#x00AE;</sup> microarray study showed that 131 genes were upregulated and 156 were downregulated by at least 3-fold, in TAMr MCF-7 cells relative to isogenic control cells &#x0005B;<xref ref-type="bibr" rid="B10">10</xref>&#x0005D;. One of the genes that were downregulated was 15-hydroxyprostaglandin dehydrogenase (HPGD). HPGD (EC 1.1.1.141) is a member of the short-chain alcohol (OH) dehydrogenase family and is the key NAD<sup>&#x0002B;</sup>-dependent enzyme responsible for the biological inactivation of prostaglandins, including prostaglandin E<sub>2</sub> (PGE<sub>2</sub>), which is synthesized via the cyclooxygenase (COX) pathway.</p>
<p>Downregulation of HPGD has been shown in several malignancies including lung, colon, bladder, endometrial, and gastric cancer and has been shown to have a tumour suppressor roles in some settings &#x0005B;<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>&#x0005D;. Studies in breast cancer are contradictory; higher <italic>HPGD</italic> expression has been reported in ER&#x03B1;-positive MCF-7 cell with reduced expression in ER&#x03B1;-negative MDA-MB-231 cells, where up-regulation was observed following treatment with demethylating agents &#x0005B;<xref ref-type="bibr" rid="B17">17</xref>&#x0005D;. In clinically more aggressive primary breast cancers, particularly those with a triple negative phenotype, and in breast cancer metastases, HPGD is overexpressed, with high HPGD expression associated with poor prognosis and reduced survival &#x0005B;<xref ref-type="bibr" rid="B18">18</xref>&#x0005D;. In the same study, <italic>HPGD</italic> silencing induced a mesenchymal-epithelial transition resulting in a less migratory phenotype. More recently, data mining from publicly available breast cancer gene expression datasets from the Cancer Genome Atlas (TCGA, <ext-link ext-link-type="uri" xlink:href="https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga">https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga</ext-link>) and Oncomine (<ext-link ext-link-type="uri" xlink:href="https://www.oncomine.org/">https://www.oncomine.org/</ext-link>), revealed decreased expression of <italic>HPGD</italic> mRNA in breast cancer samples compared with normal, healthy breast tissue &#x0005B;<xref ref-type="bibr" rid="B19">19</xref>&#x0005D;. Furthermore, HPGD expression was lower still in more aggressive basal/triple negative and HER2-positive breast cancers. Conversely, in rare apocrine breast carcinomas, HPGD was highly expressed &#x0005B;<xref ref-type="bibr" rid="B20">20</xref>&#x0005D;. Application of a triclustering algorithm, &#x03B4;-TRIMAX to microarray datasets characterized <italic>HPGD</italic> as one of ten so-called hub-genes associated with breast cancer &#x0005B;<xref ref-type="bibr" rid="B21">21</xref>&#x0005D;, lending support for a role in breast carcinogenesis.</p>
<p>Building on our previous data &#x0005B;<xref ref-type="bibr" rid="B10">10</xref>&#x0005D;, the aim of this study was to investigate a causal link between <italic>HPGD</italic> expression and function and TAMr, as well as explore the relationship between HPGD expression in breast cancer samples and clinical outcomes. The effects of HPGD expression on outcome were examined through <italic>in silico</italic> analysis and by immunohistochemistry in a breast cancer cohort with long term follow up, including breast cancer outcomes during adjuvant TAM.</p>
</sec>
<sec id="s2"><title>Materials and methods</title>
<sec><title>Cell lines and culture</title>
<p>The two stable TAMr MCF-7 human breast cancer cell lines have been described previously &#x0005B;<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>&#x0005D;. All MCF-7 isogenic lines were cultured in phenol-red-free RPMI 1640 containing L-glutamine (Invitrogen, UK) supplemented with 5&#x00025; charcoal-stripped steroid-depleted foetal calf serum (FCS; Harlan SeraLab, UK), 100 U/mL penicillin and 100 U/mL streptomycin and 100 nM 4-hydroxytamoxifen (TAM; Sigma-Aldrich, UK) for 12&#x2013;24 months. Parental cells &#x0005B;termed wild type (WT) MCF-7&#x0005D; were cultured in the same medium, but with 0.01&#x00025; (v/v) ethanol vehicle. Experiments were conducted in phenol-red-free RPMI 1640 supplemented with 5&#x00025; charcoal-stripped steroid-depleted FCS &#x0002B; TAM (0.1&#x2013;100 nM) or 17&#x03B2;-oestradiol (E2; 0.001-1 nM). Bi-monthly mycoplasma checks were consistently negative and annual short tandem repeat (STR) profiling confirmed cell provenance, both carried out as a service in Leeds. To minimize genetic drift, cell stocks were frozen at low passage and experimental cultures replaced from these stocks every 3&#x02013;6 months. We also studied LCC1, -2 and -9 breast carcinoma cells, which were derived originally in the Clarke laboratory at Georgetown, Washington DC and cultured as described &#x0005B;<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x0005D;. LCC1 cells are estrogen-independent and -responsive TAM-sensitive breast cancer cells, which are derived from an estrogen-independent variant of MCF-7 cells (MCF7/MIII) through <italic>in vivo</italic> selection in oophorectomized nude mice (with circulating estrogen levels similar to a postmenopausal woman), and subsequently re-cultured <italic>in vitro</italic> to become a stable cell line. LCC2 cells are stable, ER-positive, estrogen-independent, TAM-resistant, and respond to fulvestrant &#x0005B;<xref ref-type="bibr" rid="B7">7</xref>&#x0005D;. They were derived from the selection of LCC1 for TAM resistance <italic>in vitro</italic>. LCC9 cells exhibits cross resistance to TAM and are unresponsive to fulvestrant &#x0005B;<xref ref-type="bibr" rid="B7">7</xref>&#x0005D;. They were derived from the selection of LCC1 for fulvestrant resistance <italic>in vitro</italic>. MCF7:5C and MCF-7:WS8 are oestrogen-independent and dependent, respectively, ER-positive, progesterone receptor (PR)-negative, and TAM-resistant breast cancer cells &#x0005B;<xref ref-type="bibr" rid="B23">23</xref>&#x0005D;. They were derived from WT MCF-7 cells following long-term estrogen deprivation (LTED). The main characteristics of the cell lines used are detailed in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table 1.</label><caption><p>Characteristics of TAM-resistant breast cancer cell lines derived from MCF-7</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2"><bold>Parental cell line</bold></th>
<th colspan="2" align="center" valign="top"><bold>TAM resistant derivative</bold></th>
</tr>
<tr>
<th align="left" valign="top"><bold>Cell line</bold></th>
<th align="left" valign="top"><bold>Method of induction of TAM resistance</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="4">WT MCF-7<break/>(oestrogen-dependent, TAM-sensitive)</td>
<td align="left" valign="top">TAMr 1</td>
<td align="left" valign="top">Chronic TAM exposure (12 months)</td>
</tr>
<tr>
<td align="left" valign="top">TAMr 2</td>
<td align="left" valign="top">Chronic TAM exposure (21 months)</td>
</tr>
<tr>
<td align="left" valign="top">MCF-7-5C</td>
<td align="left" valign="top">Long-term oestrogen deprivation</td>
</tr>
<tr>
<td align="left" valign="top">MCF-7-WS8</td>
<td align="left" valign="top">Long-term oestrogen deprivation</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">MCF-7/LCC1 <break/> (oestrogen-independent, endocrine therapy responsive)</td>
<td align="left" valign="top">LCC2</td>
<td align="left" valign="top">Stepwise selection against TAM</td>
</tr>
<tr>
<td align="left" valign="top">LCC9</td>
<td align="left" valign="top">Stepwise selection against fulvestrant</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec><title>Microarray analysis of LCC1, -2 and -9</title>
<p>Cells were seeded at 300, 000 cells per well in 6-well plates (Corning, UK). They were treated the next day with 1 nM E2 for the indicated durations. All experiments were performed in triplicate. Subsequently, cells were harvested in TRIzol (Life Technologies, UK) and total RNA was isolated using the Qiagen RNeasy RNA purification kit (Qiagen, UK). Isolated RNA (1 &#x00B5;g) was then processed on the Affymetrix Clariom S microarray platform (Affymetrix, UK) and used to determine the significance of differential expression of <italic>HPGD</italic> at basal levels.</p>
</sec>
<sec><title>3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay</title>
<p>Metabolic activity was used as a surrogate for cell proliferation, using the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay &#x0005B;<xref ref-type="bibr" rid="B9">9</xref>&#x0005D;. Cells were seeded into 96-well plates. After overnight attachment, TAM (0.1-100 nM), E2 (0.01&#x2013;1 &#x00B5;M), PGE<sub>2</sub> (1 &#x00B5;M), butaprost or PGE<sub>1</sub>-OH (both 0.1&#x2013;1 &#x00B5;M) or ethanol vehicle was added. At 96 h post-treatment, cells were incubated with 1 mM MTT for 4 h. The purple formazan product was solubilised in propan-1-ol and read at 570 nm using an Opsys MR<sup>TM</sup> 15 (Dynex Technologies, UK). Chemicals were purchased from Sigma-Aldrich (UK) or Cayman Chemical (USA).</p>
</sec>
<sec><title>Western blot analysis</title>
<p>This was conducted as described previously &#x0005B;<xref ref-type="bibr" rid="B24">24</xref>&#x0005D;, except that HPGD was detected using a rabbit polyclonal antibody (catalogue number NB200-179, Novus Biological, UK, 1:500). Bands were then visualised with Supersignal West pico ECL reagent (ThermoFisher, UK).</p>
</sec>
<sec><title>Real-time polymerase chain reaction (RT-PCR)</title>
<p>Total RNA was extracted, and reverse transcribed as described previously &#x0005B;<xref ref-type="bibr" rid="B24">24</xref>&#x0005D;. Real-time polymerase chain reaction (RT-PCR) for <italic>HPGD</italic> or prostaglandin E<sub>2</sub> receptor 4 (<italic>EP4</italic>) mRNA was performed using a SYBR Green-based assay (ThermoFisher, UK) on an ABI 7700 sequence detection system using primers for <italic>HPGD</italic> (forward, 5&#x2019;-TAGTTGGATTCACACGCTCAGC-3&#x2019;; reverse, 5&#x2019;-AAAGCCTGGACAAATGGCAT-3&#x2019;) and <italic>EP4</italic> (forward, 5&#x2019;-TCTTACTCATTGCCACCTCCCT-3&#x2019;; reverse, 5&#x2019;-CTTGGCTGATATAACTGGTTGACG-3&#x2019;). The ribosomal protein gene <italic>RPLPO</italic> was used as the reference gene (forward, 5&#x2019;-GAAACTCTGCATTCTCGCTTCC-3&#x2019;; reverse, 5&#x2019;-GATGCAACAGTTGGGTGCCA-3&#x2019;). Levels of HPGD or EP4 transcripts were quantified using the 2-&#x0394;Ct method &#x0005B;<xref ref-type="bibr" rid="B25">25</xref>&#x0005D;.</p>
</sec>
<sec><title><italic>HPGD</italic> transfections</title>
<p>A stab culture of human <italic>HPGD</italic> cDNA IMAGE clone ID 3638799 was obtained from MRC and <italic>HPGD</italic> was PCR-amplified from this using the following primers: forward, 5&#x2032;-CCGGGATCCTGCACCATGCACGTGAAC-3&#x2032;; reverse, 5&#x2032;-CCCCAAGCTTTCATTGGGTTTTTGCTTG-3&#x2032;. Products were cloned into pcDNA3.1(-)myc/his (gift from Dr Thomas Hughes, University of Leeds). Vectors containing <italic>HPGD</italic> or empty vector controls were transfected into TAMr cells using Lipofectamine 2000 (ThermoFisher, UK). Stable clones were selected and maintained in G418 (ThermoFisher, UK)-containing medium (250 &#x00B5;g/mL).</p>
</sec>
<sec><title>PGE<sub>2</sub> ELISA and HPGD enzyme activity assay</title>
<p>Both assays were performed using previously protocols published &#x0005B;<xref ref-type="bibr" rid="B26">26</xref>&#x0005D;. For PGE<sub>2</sub>, serum-free conditioned medium was collected from cells after overnight incubation, and PGE<sub>2</sub> levels were measured using a competitive immunoassay (Amersham Biosciences, UK), and normalised to total cellular protein content as measured by Bradford assay. HPGD activity was measured in lysates of WT MCF-7 and TAMr cells by assessing the transfer of tritium from <sup>3</sup>H-PGE<sub>2</sub> to glutamate, catalysed by HPGD and glutamate dehydrogenase &#x0005B;<xref ref-type="bibr" rid="B27">27</xref>&#x0005D;.</p>
</sec>
<sec><title>EP4 and HPGD knockdown</title>
<p>Small-interfering (si)-RNAs targeting <italic>EP4</italic> or <italic>HPGD</italic> (ThermoFisher Scientific, UK) were reverse transfected into cells using Lipofectamine 2000 according to the manufacturer&#x2019;s instructions. Briefly, MCF-7 cells were mixed with media containing small-interfering RNA (siRNA)/lipid (final siRNA concentration 10 nM) and seeded into 96 well plates at 0.4 x 10<sup>4</sup> cells/well and allowed to establish overnight before incubation with drug or vehicle control. Response to treatment was assessed by MTT assay. <italic>EP4</italic> or <italic>HPGD</italic> knockdown was assessed by real-time quantitative polymerase chain reaction (qRT-PCR) as described previously &#x0005B;<xref ref-type="bibr" rid="B28">28</xref>&#x0005D;.</p>
</sec>
<sec><title>Immunohistochemistry</title>
<p>Following ethical approval (06/Q1206/180) we investigated HPGD expression in 350 primary invasive breast cancers, all of which, had been surgically resected and received adjuvant TAM, and were represented on tissue microarrays (TMAs) &#x0005B;<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>&#x0005D;. Out of the 350 cases, 108 cases experienced a relapse (TAMr) and 242 cases did not &#x0005B;tamoxifen-sensitive (TAMs)&#x0005D;. Mean follow-up was 80 months &#x0005B;range 1&#x2013;229, standard deviation (SD) 44.2&#x0005D;. Tumour staining was achieved using previously described methods &#x0005B;<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x0005D;.</p>
</sec>
<sec><title><italic>In silico</italic> transcriptomic analysis</title>
<p>The relationship between <italic>HPGD</italic> expression and cancer outcomes was analyzed using Kaplan-Meier Plotter (KMplot, <ext-link ext-link-type="uri" xlink:href="https://kmplot.com/analysis/">https://kmplot.com/analysis/</ext-link>) &#x0005B;<xref ref-type="bibr" rid="B30">30</xref>&#x0005D;. Using the 2017 release of the database, a cohort of ER&#x03B1;-positive breast tumours, previously treated with TAM only and no adjuvant chemotherapy, was analyzed and the association between <italic>HPGD</italic> expression and overall survival (OS). Patients were dichotomized as high or low HPGD expression using lower tertile as a cut-off. Multivariate analysis was done using in-built software with Ki67, ER and HER2 as covariates.</p>
</sec>
<sec><title><italic>In silico</italic> analyses for the identification of miRNAs targeting <italic>HPGD</italic></title>
<p>We applied miRWalk version 3.0 &#x0005B;<xref ref-type="bibr" rid="B31">31</xref>&#x0005D; and TargetScan version 7.2 &#x0005B;<xref ref-type="bibr" rid="B32">32</xref>&#x0005D; to a previously described Affymetrix miRNA dataset of endocrine sensitive MCF-7:WS8 and resistant MCF-7:5C cells &#x0005B;<xref ref-type="bibr" rid="B33">33</xref>&#x0005D; in order to identify miRNA-target interactions sites for major <italic>HPGD</italic> transcripts using default settings. OncoLnc (<ext-link ext-link-type="uri" xlink:href="http://www.oncolnc.org/">http://www.oncolnc.org/</ext-link>) was used to retrieve <italic>HPGD</italic> and miR-3200-3p expression data from matching breast cancer cases in the TCGA database &#x0005B;<xref ref-type="bibr" rid="B34">34</xref>&#x0005D;. Kaplan-Meier Plotter &#x0005B;<xref ref-type="bibr" rid="B30">30</xref>&#x0005D; was used to investigate the significance of miR-3200-3p on survival in ER&#x03B1;&#x0002B; breast cancer treated with any endocrine therapy (not limited to TAM). Cases were dichotomised as high or low miR-3200-3p expression using the median expression value as a cut-off.</p>
</sec>
<sec><title>Statistical analysis</title>
<p>For <italic>in vitro</italic> analyses, one-way ANOVA was performed. The log rank test was used to compare patient survival in the primary breast cancer cohort. Analyses were performed using GraphPad Prism version 7.03 (GraphPad Software, La Jolla California, USA). For Affymetrix analyses, ANOVA <italic>P</italic>-values were calculated using the Affymetrix Transcriptome Analysis Console (Affymetrix). The time course plots were plotted as fold-change with the baseline value set at 1.</p>
</sec>
</sec>
<sec id="s3"><title>Results</title>
<sec><title>HPGD is downregulated in TAMr MCF-7<sup>MMU2</sup> cells</title>
<p>We demonstrated that HPGD was downregulated in two independent TAMr MCF-7 cell lines, which had been cultured continuously in 100 nM TAM for 12 (TAMr 1) and 21 (TAMr 2) months &#x0005B;<xref ref-type="bibr" rid="B10">10</xref>&#x0005D;, respectively by Western blot (<xref ref-type="fig" rid="F1">Figure 1a</xref>) and real time PCR (<xref ref-type="fig" rid="F1">Figure 1b</xref>) compared with parental MCF-7 cells. Microarray analysis of the independent LCC cell line series and MCF7:5C cells showed that only the oestrogen-independent but oestrogen-responsive TAMs cell line LCC1 showed increased expression of HPGD in response to E2 over time (<xref ref-type="fig" rid="F1">Figure 1c</xref>).</p>
<fig id="F1" position="float"><label>Figure 1.</label><caption><p>HPGD is downregulated in TAMr derivatives of MCF-7 cells. Western blot (a) showing HPGD protein expression in WT MCF-7 and its loss in two, independently derived, TAMr MCF-7 cell lines, TAMr 1 and TAMr 2; qRT-PCR (b) shows relative expression of <italic>HPGD</italic> mRNA in these cell lines. Expression was determined using <italic>RPLP0</italic> as the reference gene and further normalized to baseline at time 0 h (&#x00B1; SD); in (c), expression of <italic>HPGD</italic> mRNA in LCC1 cells (TAMs) <italic>versus</italic> LCC2 cells (TAMr), LCC9 (TAMr and fulvestrant resistant), and MCF7:5C (TAMr) shows an upregulation over time in LCC1 cells only, with the resistant variants remaining largely unchanged during treatment with 1 nM E2</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="100221-g001.tif"/></fig>
</sec>
<sec><title>Effect of HPGD overexpression in MCF-7 TAMr 2 cells</title>
<p>We then explored the effects of introduction of <italic>HPGD</italic> into MCF-7 TAMr 2 cells. Successful expression of HPGD protein following stable transfection was confirmed by Western blotting (<xref ref-type="fig" rid="F2">Figure 2a</xref>). This restored activity of HPGD in each of the transfected cell lines to levels like WT MCF-7 (<xref ref-type="fig" rid="F2">Figure 2a</xref> and <xref ref-type="fig" rid="F2">b</xref>). This also sensitized these cells to the inhibitory effects of TAM to approximately 60&#x00025; of the parental MCF-7 cell response (<xref ref-type="fig" rid="F2">Figure 2c</xref>), whilst restoring sensitivity to E2 almost completely (<xref ref-type="fig" rid="F2">Figure 2d</xref>).</p>
<fig id="F2" position="float"><label>Figure 2.</label><caption><p>Effect of overexpressing <italic>HPGD</italic> in MCF-7 TAMr 2 cells. Western blot (a) showing HPGD expression in stably transfected clones of MCF-7 TAMr 2 cells compared to empty vector control and WT MCF-7; in (b), HPGD enzyme activity (cpm/&#x03BC;g protein) is restored to levels similar to WT MCF-7 following <italic>HPGD</italic>-transfection, sensitising cells to inhibitory effects of TAM (&#x0002A; <italic>P</italic> &#x003C; 0.05 <italic>vs.</italic> MCF-7, Figure 2c) and restoring E2 sensitivity (&#x00023; <italic>P</italic> &#x003C; 0.004 <italic>vs.</italic> MCF-7, Figure 2d). Data are representative of triplicate experiments (&#x00B1; SEM)</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="100221-g002.tif"/></fig>
</sec>
<sec><title>Modulating the PGE<sub>2</sub> axis influences cellular response to TAM</title>
<p>Since <italic>HPGD</italic> is responsible for the biological inactivation of prostaglandins including PGE<sub>2</sub>, we tested whether increased PGE<sub>2</sub> signaling might explain TAMr. We first examined PGE<sub>2</sub> levels in serum-free conditioned medium collected from MCF-7 and MCF-7 TAMr 2 cells. TAMr cells released higher amounts of PGE<sub>2</sub> compared with parental MCF-7 cells and this could be reduced to levels approaching that of MCF-7 by <italic>HPGD</italic> overexpression in these cells (<xref ref-type="fig" rid="F3">Figure 3a</xref>). Next, we tested the effect of adding exogenous PGE<sub>2</sub> (1 &#x00B5;M) on TAM response in two different ER&#x03B1;-positive breast cancer cell lines, MCF-7 and T47D. PGE<sub>2</sub> reduced sensitivity of both cell lines to TAM (<xref ref-type="fig" rid="F3">Figure 3b</xref>). As PGE<sub>2</sub>-signalling is mediated by G-protein coupled receptors, we examined if the stimulatory EP2 or EP4 receptors might be responsible for mediating the effects of PGE<sub>2</sub> on TAM sensitivity. We demonstrated that PGE<sub>1</sub>-OH (an EP4 agonist) was able to mimic the effects PGE<sub>2</sub> in decreasing TAM sensitivity (<xref ref-type="fig" rid="F3">Figure 3c</xref>; <italic>P</italic> &#x003C; 0.015), albeit to a lesser extent than PGE<sub>2</sub>. However, butaprost (EP2 agonist) had no effect at equivalent concentrations (<xref ref-type="fig" rid="F3">Figure 3d</xref>). This suggested that the EP4 receptor might be responsible for mediating the effect of PGE<sub>2</sub> on TAM sensitivity. Partial silencing of <italic>EP4</italic> in WT MCF-7 cells was achieved using one siRNA (<xref ref-type="fig" rid="F3">Figure 3e</xref>). <italic>EP4</italic> silencing using siRNA 1 inhibited PGE<sub>2</sub> induced TAM resistance in these cells (<xref ref-type="fig" rid="F3">Figure 3f</xref>).</p>
<fig id="F3" position="float"><label>Figure 3.</label><caption><p>Modulating the PGE<sub>2</sub> axis influences cellular response to TAM. (a) Overexpression of <italic>HPGD</italic> reduced PGE<sub>2</sub> production in MCF-7 TAMr 2 cells to similar levels to basal production in WT MCF-7 cells; (b) exogenous PGE<sub>2</sub> (1 &#x03BC;M, broken lines) reduced sensitivity of WT MCF-7 and T47D human breast cancer cells to TAM; (c) PGE<sub>1</sub>-OH mimicked the effects PGE<sub>2</sub> in decreasing TAM sensitivity in WT MCF-7 and T47D cells, albeit to a lesser extent; (d) butaprost was ineffective at equivalent concentrations; (e) <italic>EP4</italic> siRNA1 was selected for effective transient silencing of <italic>EP4</italic> expression in WT MCF-7; (f) transient silencing of <italic>EP4</italic> reduced sensitivity to TAM, only in the presence of PGE<sub>2</sub>. &#x0002A; denotes <italic>P</italic> &#x003C; 0.05; &#x0002A;&#x0002A; denotes <italic>P</italic> &#x003C; 0.002; &#x0002A;&#x0002A;&#x0002A; denotes <italic>P</italic> &#x003C; 0.005 normalised to respective vehicle controls</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="100221-g003.tif"/></fig>
</sec>
<sec><title>Loss of <italic>HPGD</italic> expression predicts worse outcomes in breast cancer</title>
<p>We analysed the relationship between HPGD expression and clinical outcome for breast cancer patients using the on-line resource Kmplot &#x0005B;<xref ref-type="bibr" rid="B30">30</xref>&#x0005D; and from our own cohort of breast cancer patient&#x2019;s data in separate survival analyses. In the Kmplot cohort, we found that ER&#x0002B; patients who received adjuvant TAM only and had &#x2018;low&#x2019; expression of <italic>HPGD</italic>, had reduced OS by univariate analysis &#x0005B;hazard ratio (HR) &#x0003D; 0.28 (0.13&#x2013;0.59), <italic>P</italic> &#x0003D; 0.0007&#x0005D; (<xref ref-type="fig" rid="F4">Figure 4a</xref>). This remained significant on multivariate analysis (<italic>P</italic> &#x0003D; 0.001, <xref ref-type="fig" rid="F4">Figure 4b</xref>). We then conducted a retrospective immunohistochemical study of HPGD expression in our own cohort of breast patients, who all received adjuvant TAM therapy and related HPGD expression to survival. As these TMAs have been used extensively in several other studies &#x0005B;<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x0005D;, the number of viable cores that could be reliably evaluated was only 144 out of 350 cases. The level of HPGD staining was generally weak to moderate (<xref ref-type="fig" rid="F4">Figure 4c</xref>) in positive cases, however cases which completely lacked HPGD were associated with worse OS &#x0005B;HR &#x0003D; 0.3 (0.15&#x2013;0.69), <italic>P</italic> &#x0003D; 0.047&#x0005D; (<xref ref-type="fig" rid="F4">Figure 4d</xref>), in line with the <italic>in silico</italic> analysis (<xref ref-type="fig" rid="F4">Figure 4a</xref>). The small number of TMA cases available precluded multivariate analysis.</p>
<fig id="F4" position="float"><label>Figure 4.</label><caption><p>Kaplan-Meier survival analysis of the relationship between HPGD expression and breast cancer outcomes using <italic>in silico</italic> data mining and immunohistochemistry. Using KMplot, HPGD expression was categorised as &#x2018;high&#x2019; (red) or &#x2018;low&#x2019; (black), with the lower tertile expression used as cut-off. (a) Low <italic>HPGD</italic> expression is associated significantly reduced OS &#x0005B;HR 0.28 (0.13&#x2013;0.59), <italic>P</italic> &#x0003D; 0.00041&#x0005D; in ER&#x03B1; breast tumours treated with TAM; (b) the association between <italic>HPGD</italic> expression and OS remained significant by multivariate analysis; (c) examples of HPGD staining (brown, DAB staining) in breast cancer tissue sections counterstained with haematoxylin (blue), the scale bar indicating 60 &#x00B5;m with some cases lacking any appreciable HPGD (top panels), and others showing weak to moderate staining (bottom panel); (d) a retrospective immunohistochemical analysis of HPGD expression in 130 breast cancers represented on TMAs showed HPGD-negative cases (black) had significantly worse OS &#x0005B;HR &#x0003D; 0.3 (0.15&#x2013;0.69), <italic>P</italic> &#x0003D; 0.047&#x0005D; compared with HPGD-positive cases (red)</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="100221-g004.tif"/></fig>
</sec>
<sec><title><italic>In silico</italic> identification of miRNA-<italic>HPGD</italic> target interactions</title>
<p>With growing evidence that <italic>HPGD</italic> is inactivated epigenetically, we sought to identify miRNAs that may post-transcriptionally modulate <italic>HPGD</italic> expression. We interrogated a global miRNA data set established in an independent TAM resistance model MCF-7:5C &#x0005B;<xref ref-type="bibr" rid="B33">33</xref>&#x0005D;. These TAMr cells were derived from WT MCF-7 cells (<xref ref-type="table" rid="T1">Table 1</xref>). <italic>In silico</italic> analysis revealed numerous miRNAs that were differentially expressed in TAMr MCF-7:5C cells compared with TAMs MCF-7:WS8 cells and that are predicted to interact with the three prime untranslated region (3&#x02032;-UTR) of the <italic>HPGD</italic> transcripts (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float"><label>Table 2.</label><caption><p> <italic>In silico</italic> prediction of miRNAs differentially expressed in TAMr MCF-7:5C <italic>vs.</italic> TAMs MCF-7:WS8 that are predicted to interact with 3&#x2019;UTR of major HPGD transcripts</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top"><bold>miRNA</bold></th>
<th align="left" valign="top"><bold>Fold change</bold></th>
<th align="left" valign="top"><bold>Ensembl id<sup>a</sup></bold></th>
<th align="left" valign="top"><bold>Binding probability<sup>b</sup></bold></th>
<th align="left" valign="top"><bold>Longest consecutive pairings<sup>b</sup></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top"><underline>hsa-miR-432-5p</underline></td>
<td align="left" valign="top">105.24</td>
<td align="left" valign="top">ENST00000504433</td>
<td align="left" valign="top">0.85</td>
<td align="left" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-382-5p</underline></td>
<td align="left" valign="top">54.71</td>
<td align="left" valign="top">ENST00000296521, ENST00000542498</td>
<td align="left" valign="top">0.85</td>
<td align="left" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-487a-3p</underline><sup>c</sup></td>
<td align="left" valign="top">42.78</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-31-5p</td>
<td align="left" valign="top">28.67</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000510901, ENST00000541923, ENST00000542498</td>
<td align="left" valign="top">1.0</td>
<td align="left" valign="top">14</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-543</underline></td>
<td align="left" valign="top">19.49</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000541923, ENST00000542498/ENST00000510901</td>
<td align="left" valign="top">0.85/0.92</td>
<td align="left" valign="top">17</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-493-3p</underline></td>
<td align="left" valign="top">13.35</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000541923, ENST00000542498/ENST00000510901</td>
<td align="left" valign="top">0.85/0.88</td>
<td align="left" valign="top">19</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-376c-3p</underline><sup>c</sup></td>
<td align="left" valign="top">10.65</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-337-5p</underline></td>
<td align="left" valign="top">6.46</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000541923, ENST00000542498/ENST00000510901</td>
<td align="left" valign="top">0.85/0.92</td>
<td align="left" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-505-5p</td>
<td align="left" valign="top">6.32</td>
<td align="left" valign="top">ENST00000296522, ENST00000422112, ENST00000504433, ENST00000510901/ENST00000541923</td>
<td align="left" valign="top">1.0/0.85</td>
<td align="left" valign="top">6</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-1972</td>
<td align="left" valign="top">5.64</td>
<td align="left" valign="top">ENST00000504433</td>
<td align="left" valign="top">0.92</td>
<td align="left" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-410-3p</underline><sup>c</sup></td>
<td align="left" valign="top">4.00</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-154-5p</underline></td>
<td align="left" valign="top">3.39</td>
<td align="left" valign="top">ENST00000504433</td>
<td align="left" valign="top">0.85</td>
<td align="left" valign="top">5</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-485-5p</underline></td>
<td align="left" valign="top">3.08</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000510901, ENST00000541923, ENST00000542498</td>
<td align="left" valign="top">1.0</td>
<td align="left" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-199a-3p<sup>c</sup></td>
<td align="left" valign="top">2.91</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-654-3p</underline><sup>c</sup></td>
<td align="left" valign="top">2.89</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-493-5p</underline></td>
<td align="left" valign="top">2.68</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000542498</td>
<td align="left" valign="top">0.85</td>
<td align="left" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-381-3p</underline></td>
<td align="left" valign="top">2.66</td>
<td align="left" valign="top">ENST00000510901</td>
<td align="left" valign="top">0.85</td>
<td align="left" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-330-3p</td>
<td align="left" valign="top">2.54</td>
<td align="left" valign="top">ENST00000504433/ENST00000510901/ENST00000542498</td>
<td align="left" valign="top">0.92/0.85/1</td>
<td align="left" valign="top">9/7/7</td>
</tr>
<tr>
<td align="left" valign="top"><underline>hsa-miR-154-3p</underline><sup>c</sup></td>
<td align="left" valign="top">2.35</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-30a-3p</td>
<td align="left" valign="top">1.88</td>
<td align="left" valign="top">ENST00000504433</td>
<td align="left" valign="top">0.92/0.85</td>
<td align="left" valign="top">10/8</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-4298</td>
<td align="left" valign="top">1.83</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000510901, ENST00000541923, ENST00000542498</td>
<td align="left" valign="top">1.0</td>
<td align="left" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-3200-3p<sup>c</sup></td>
<td align="left" valign="top">1.82</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-106a-5p<sup>c</sup></td>
<td align="left" valign="top">1.75</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-20b-5p<sup>c</sup></td>
<td align="left" valign="top">1.74</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-425-5p<sup>c</sup></td>
<td align="left" valign="top">1.71</td>
<td align="left" valign="top">ENST00000296522.6</td>
<td align="left" valign="top">-</td>
<td align="left" valign="top">-</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-17-5p</td>
<td align="left" valign="top">1.69</td>
<td align="left" valign="top">ENST00000504433</td>
<td align="left" valign="top">0.85</td>
<td align="left" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-500a-5p</td>
<td align="left" valign="top">1.66</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000541923, ENST00000542498, ENST00000510901</td>
<td align="left" valign="top">0.92</td>
<td align="left" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-1293</td>
<td align="left" valign="top">1.60</td>
<td align="left" valign="top">ENST00000296522, ENST00000296521, ENST00000422112, ENST00000541923, ENST00000542498, ENST00000510901</td>
<td align="left" valign="top">1.0</td>
<td align="left" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top">hsa-miR-20a-5p</td>
<td align="left" valign="top">1.56</td>
<td align="left" valign="top">ENST00000504433</td>
<td align="left" valign="top">0.92</td>
<td align="left" valign="top">10</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN2"><p>Listed are miRNAs with fold change &#x003E; 1.5; miRNAs underlined refer to the DLK-DIO3 locus on chromosome 14; miRWalk 3.0 &#x0005B;<xref ref-type="bibr" rid="B31">31</xref>&#x0005D; and TargetScan 7.2 &#x0005B;<xref ref-type="bibr" rid="B32">32</xref>&#x0005D; tools have been used to identify miRNA-target interactions; <sup>a</sup> major targeted transcripts are listed with respective Ensembl id; <sup>b</sup> binding probability and longest consecutive pairings are listed according to miRWalk 3.0 predictions; <sup>c</sup> additional miRNAs predicted only with TargetScan 7.2 tool (on most prevalent ENST00000296522.6 transcript)</p></fn>
</table-wrap-foot>
</table-wrap>
<p>We then tested the association between each of the listed miRNAs and <italic>HPGD</italic> mRNA levels in 987 breast cancer samples from the TCGA database using OncoLnc &#x0005B;<xref ref-type="bibr" rid="B34">34</xref>&#x0005D; where both miRNA and mRNA expression data were available. Only one miRNA, namely miR-3200-3p, had an inverse relationship between its expression levels and <italic>HPGD</italic> mRNA levels in this dataset (Spearman, &#x03C1; &#x0003D; &#x2013;0.25, <italic>P</italic> &#x003C; 0.0001). We used the Kmplot online resource &#x0005B;<xref ref-type="bibr" rid="B30">30</xref>&#x0005D; to analyse the association between miR-3200-3p expression and OS in ER&#x0002B; breast cancer patients treated with any endocrine therapy, irrespective of grade, molecular subtype, and lymph node status. High miR-3200-3p expression was associated with significantly reduced OS (<xref ref-type="fig" rid="F5">Figure 5a</xref>) and a weak negative correlation (R<sup>2</sup> &#x0003D; 0.25) was observed between miR-3200-3p and <italic>HPGD</italic> (<xref ref-type="fig" rid="F5">Figure 5b</xref>) using data from TCGA analysed using the OncoLnc platform &#x0005B;<xref ref-type="bibr" rid="B34">34</xref>&#x0005D;.</p>
<fig id="F5" position="float"><label>Figure 5.</label><caption><p>Relationship between <italic>HPGD</italic> and miR-3200-3p expression in breast cancer. Using KMplot, miR-3200-3p expression was categorized as high or low, with median expression used as cut-off. Kaplan-Meier survival analysis demonstrated a statistically significant effect of miR-3200-3p on the OS of ER&#x03B1;-positive breast cancer patients treated with any endocrine therapy (a); correlation analysis of matched gene expression levels of <italic>HPGD</italic> and miR-3200-3p in 987 breast cancer cases obtained from the TCGA revealed a weak negative correlation &#x0005B;R<sup>2</sup> &#x0003D; 0.25; (b)&#x0005D;</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="100221-g005.tif"/></fig>
</sec>
</sec>
<sec id="s4"><title>Discussion</title>
<p>We have demonstrated a downregulation of HPGD expression in TAM-resistant breast cancer both <italic>in vitro</italic> in multiple series of TAMs and TAMr isogenic cell line pairs and in clinical samples using retrospective immunohistochemistry studies and <italic>in silico</italic> approaches. We have also shown that TAM resistance is associated with PGE<sub>2</sub> signalling via the EP4 receptor <italic>in vitro</italic>.</p>
<p>A key role of <italic>HPGD</italic> is to inactivate PGE<sub>2</sub>. Having confirmed its downregulation in TAMr cells using various experimental approaches and in different cell lineages, we showed that stable transfection of human <italic>HPGD</italic> into MCF-7 TAMr 2MCF-7 cells restored HPGD enzyme activity, at the same time significantly sensitising these cells to TAM, and suggesting a functional role of <italic>HPGD</italic> downregulation in acquired TAMr. Our hypothesis that <italic>HPGD</italic> mediated its effects via this axis was strengthened by the observation that treatment of 2 different ER&#x0002B; TAM-sensitive cell lines with exogenous PGE<sub>2</sub> increased the resistance of both cell lines to the growth-inhibitory effects of TAM.</p>
<p>PGE<sub>2</sub> exerts its effects through binding to cell surface G-protein coupled EP receptors. Four subtypes have been identified, EP1, -2, -3 and -4, with each coupled to different intracellular signalling pathways. All are stimulatory except for EP3, which exerts inhibitory effects. We used a pharmacological approach to target EP2 and EP4, treating parental MCF-7 and T47D cells with PGE<sub>1</sub>-OH (EP4 receptor agonist) or with butaprost (EP2 receptor agonist). PGE<sub>1</sub>-OH was able to mimic the effects of PGE<sub>2</sub> (albeit to a lesser extent), whereas butaprost had no effect at equivalent concentrations. We suggest that the EP4 receptor is responsible for mediating the TAMr effect of PGE<sub>2</sub>. While our knockdown experiment implied a role for EP4, we were only able to achieve partial knockdown with a single siRNA, which limits the conclusions from our data. Consistent with our data, a study has shown that EP4 gene expression was upregulated in TAMr MCF-7 cells, also generated from long term oestrogen deprivation, and in patients resistant to aromatase inhibitor therapy. Furthermore, the exposure to two separate EP4-specific antagonists, GW627368X and ONO-AE3-208, decreased estrogen-independent cell growth in LTED MCF-7 cells &#x0005B;<xref ref-type="bibr" rid="B36">36</xref>&#x0005D;. These authors proposed a molecular mechanism by which EP4 signalling may drive ligand-independent ER&#x03B1; activation by driving the binding of the coactivator-associated arginine methyltransferase 1 (CARM1), an ER&#x03B1; co-factor, to the receptor, leading to its activated status &#x0005B;<xref ref-type="bibr" rid="B36">36</xref>&#x0005D;.</p>
<p>There is evidence that <italic>HPGD</italic> is post-transcriptionally regulated via miRNAs, with miR-21 identified as targeting <italic>HPGD</italic> in oral tongue squamous cell carcinoma &#x0005B;<xref ref-type="bibr" rid="B37">37</xref>&#x0005D;. Silencing of miR-21 expression in human breast cancer cell lines has been shown to increase TAM sensitivity &#x0005B;<xref ref-type="bibr" rid="B38">38</xref>&#x0005D;. miR-21 was found to be overexpressed in TAMr cell line compared to TAMs cell lines &#x0005B;<xref ref-type="bibr" rid="B39">39</xref>&#x0005D;, which may contribute to <italic>HPGD</italic> downregulation in TAM resistant breast cancer. However, miR-21 was not identified as differentially expressed in TAMr MCF-7:5C cells compared with TAMs MCF-7:WS8 cells. We identified several differentially expressed miRNAs predicted to interact with the 3&#x2019;UTR of <italic>HPGD</italic> transcripts. Of these, miR-3200-3p expression was found to be inversely correlated with <italic>HPGD</italic> mRNA level, suggesting a possible role of miR-3200-3p in the regulation of HPGD expression. Using an <italic>in silico</italic> approach we found that increased miR-3200-3p levels were significantly associated with decreased OS in ER positive breast cancer patients treated with endocrine therapy. There are no data available thus far establishing a direct interaction between miR-3200-3p and <italic>HPGD</italic> mRNA, however correlation between <italic>HPGD</italic> and miR-3200-3p in breast cancer cases in the TCGA database using the OncoLnc platform &#x0005B;<xref ref-type="bibr" rid="B34">34</xref>&#x0005D; revealed a weak negative correlation. A key next step would be to validate that the 3&#x02032;-UTR of <italic>HPGD</italic> is a target of miR-3200-3p in a luciferase reporter assay <italic>in vitro</italic>, with <italic>in vivo</italic> validation also warranted. Interestingly, while this work was under review, miR-3200-3p was identified using data from TCGA as a so-called miRNA master regulator (MMR) in breast cancer and was one of 61 MMRs which displayed high oncogenic activity &#x0005B;<xref ref-type="bibr" rid="B40">40</xref>&#x0005D;.</p>
<p>The immunohistochemistry on human breast cancer samples and the <italic>in silico</italic> analysis demonstrated that reduced expression of HPGD was associated with worse patient outcomes, consistent with a study demonstrating that low levels of HPGD predicted reduced recurrence free survival and OS in a cohort of breast cancer patients, split into normal weight, overweight and obese groups, in which few received endocrine therapy (15&#x00025;) &#x0005B;<xref ref-type="bibr" rid="B41">41</xref>&#x0005D;. In our study, all cases received adjuvant TAM, with HPGD downregulation associated with reduced response to endocrine treatment and worse clinical outcomes.</p>
<p>Some studies of <italic>HPGD</italic> expression in breast tissues have demonstrated higher expression in normal breast tissue than breast cancer &#x0005B;<xref ref-type="bibr" rid="B19">19</xref>&#x0005D;, supporting a tumour suppressive role &#x0005B;<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B42">42</xref>&#x0005D;. However, this is an inconsistent finding. One study showed that high, rather than low, <italic>HPGD</italic> expression was significantly associated with poor outcome in triple negative breast cancer &#x0005B;<xref ref-type="bibr" rid="B18">18</xref>&#x0005D;. However, tumours lacking expression of either ER&#x03B1;, PR and HER2 are recognised to have worse prognosis. Our cohort was predominantly ER-positive (77&#x00025;) and the <italic>in silico</italic> analysis was restricted to ER-positive cases only. Such context-dependency has been supported through a data mining approach where <italic>HPGD</italic> expression was found to be differentially expressed across the various molecular subtypes of breast cancer &#x0005B;<xref ref-type="bibr" rid="B19">19</xref>&#x0005D;. However, in this study &#x0005B;<xref ref-type="bibr" rid="B19">19</xref>&#x0005D;, <italic>HPGD</italic> expression was significantly decreased in triple negative breast cancer compared to other molecular subtypes.</p>
<p>Data extrapolated from clinical trials is beginning to indicate that the risk of breast cancer relapse is reduced by extending time on endocrine therapy from 5 to 10 years &#x0005B;<xref ref-type="bibr" rid="B43">43</xref>&#x0005D;. While this is good for patient outcome, there will likely be a lag period before these benefits are seen in the clinic. Understanding the mechanisms which underline endocrine therapy resistance remains an important biological question. This study demonstrated that HPGD downregulation in ER-positive breast cancer is associated with reduced response to adjuvant TAM therapy via PGE<sub>2</sub>-EP4 signalling and decreased patient survival. These data offer a potential target to develop combination therapies that may overcome TAM acquired resistance.</p>
</sec>
</body>
<back>
<glossary><title>Abbreviations</title>
<def-list>
<def-item><term>3&#x02032;-UTR:</term><def><p>three prime untranslated region</p></def></def-item>
<def-item><term>CARM1:</term><def><p>coactivator-associated arginine methyltransferase</p></def></def-item>
<def-item><term>COX:</term><def><p>cyclooxygenase</p></def></def-item>
<def-item><term>E2:</term><def><p>17&#x03B2;-oestradiol</p></def></def-item>
<def-item><term>EP4:</term><def><p>prostaglandin E<sub>2</sub> receptor 4</p></def></def-item>
<def-item><term>ER&#x03B1;:</term><def><p>oestrogen receptor alpha</p></def></def-item>
<def-item><term>FCS:</term><def><p>foetal calf serum</p></def></def-item>
<def-item><term>HPGD:</term><def><p>15-hydroxyprostaglandin dehydrogenase</p></def></def-item>
<def-item><term>LTED:</term><def><p>long-term estrogen deprivation</p></def></def-item>
<def-item><term>MMR:</term><def><p>miRNA master regulator</p></def></def-item>
<def-item><term>MTT:</term><def><p>3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide</p></def></def-item>
<def-item><term>OH:</term><def><p>alcohol</p></def></def-item>
<def-item><term>OS:</term><def><p>overall survival</p></def></def-item>
<def-item><term>PGE<sub>2</sub>:</term><def><p>prostaglandin E<sub>2</sub></p></def></def-item>
<def-item><term>PR:</term><def><p>progesterone receptor</p></def></def-item>
<def-item><term>qRT-PCR:</term><def><p>real-time quantitative polymerase chain reaction</p></def></def-item>
<def-item><term>RT-PCR:</term><def><p>real-time polymerase chain reaction</p></def></def-item>
<def-item><term>SD:</term><def><p>standard deviation</p></def></def-item>
<def-item><term>siRNA:</term><def><p>small-interfering RNA</p></def></def-item>
<def-item><term>TAM:</term><def><p>Tamoxifen</p></def></def-item>
<def-item><term>TAMr:</term><def><p>tamoxifen-resistant</p></def></def-item>
<def-item><term>TAMs:</term><def><p>tamoxifen-sensitive</p></def></def-item>
<def-item><term>TCGA:</term><def><p>the cancer genome atlas</p></def></def-item>
<def-item><term>TMA:</term><def><p>tissue microarray</p></def></def-item>
<def-item><term>WT:</term><def><p>wild type</p></def></def-item>
</def-list>
</glossary>
<sec id="s5"><title>Declarations</title>
<sec><title>Acknowledgments</title>
<p>We thank Werbena Hamilton-Burke, Loaie Maraqa and Mark Peter for providing clinical data on the breast tumours which populated the TMAs used in this study.</p>
</sec>
<sec><title>Author contributions</title>
<p>Conception and design: MAH, VS. Acquisition of data: AMS, BA, PYM, BMB, RH, PF, HB, MV, MC, VCJ, VS. Analysis and interpretation of data: AMS, BA, PYM, BMB, RH, PF, HB, MV, MC, VCJ, VS. Writing and/or revision of the manuscript: MV, MC, MAH, VS. All authors read and approved the manuscript before submission.</p>
</sec>
<sec><title>Conflicts of interest</title>
<p>The authors declare that they have no conflicts of interest.</p>
</sec>
<sec><title>Ethical approval</title>
<p>Access to histopathology archives for TMA construction and immunohistochemistry was approved by the Leeds (East) Research Ethics (06/Q1206/180).</p>
</sec>
<sec><title>Consent to participate</title>
<p>The informed consent to participate in the study was obtained from all participants.</p>
</sec>
<sec><title>Consent to publication</title>
<p>The informed consent to publication was obtained from relevant participants.</p>
</sec>
<sec><title>Availability of data and materials</title>
<p>Part of the results described is based upon data generated by the TCGA Research Network (<ext-link ext-link-type="uri" xlink:href="https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga">https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga</ext-link>), the online resources of KMplot (<ext-link ext-link-type="uri" xlink:href="https://kmplot.com/analysis/">https://kmplot.com/analysis/</ext-link>) and OncoLnc (<ext-link ext-link-type="uri" xlink:href="http://www.oncolnc.org/">http://www.oncolnc.org/</ext-link>).</p>
</sec>
<sec><title>Funding</title>
<p>This work was supported in part by Cancer Research UK grant C13432/A9047; Yorkshire Cancer Research grant L314; the Robert Bosch Foundation, Stuttgart, Germany; the NIH; MD Anderson&#x2019;s Cancer Center support grant CA016672; the George and Barbara Bush Foundation for Innovative Cancer Research; and the Dallas/Fort Worth Living Legend Chair of Cancer Research. The study sponsor(s) played no part in the study design; in the collection, analysis and interpretation of the data; in the writing of the report; and in the decision to submit the paper for publication.</p>
</sec>
<sec><title>Copyright</title>
<p>&#x00A9; The Author(s) 2020.</p>
</sec>
</sec>
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