The NF-κB signalling pathway regulates GLUT6 expression in endometrial cancer
Introduction
Endometrial cancer is the most common gynecological cancer in the developed world and the fifth most common cancer in women worldwide [1,2]. The incidence of endometrial cancer is increasing due to declining fertility rates, increased life expectancy, sedentary lifestyles and increased incidence of obesity and type 2 diabetes [3,4]. Obesity is the greatest identified risk factor for endometrial cancer with over 55% of cases attributed to excess body weight [[5], [6], [7]] and obese women have a 6-fold higher relative risk of endometrial cancer-related death compared to lean women [8,9]. Although the precise mechanisms are unclear, a number of obesity-related factors are suspected to promote endometrial tumour growth and/or progression. These include increased/unopposed estrogen [10], altered serum adipokines [11], insulin resistance with associated hyperglycemia and hyperinsulinemia [12] and chronic inflammation [13].
Elevated levels of proinflammatory cytokines such as tumour necrosis factor alpha (TNFα) have been identified in the sera of endometrial cancer patients, and have been linked to an increased risk of endometrial cancer [[14], [15], [16], [17], [18], [19], [20]]. Furthermore, high secretion of TNFα by cancerous endometrial epithelial cells cultured in vitro is associated with advanced-stage disease and worse overall survival for the patients from which they were derived [21]. TNFα activates the canonical nuclear factor kappa light chain enhancer of activated B cells (NF-κB) signalling pathway by activating IκB kinase (IKK) which phosphorylates IκB, targeting it for ubiquitination and degradation. Loss of IκB protein frees the NF-κB complex which then translocates to the nucleus where it directly binds to the promoter or enhancer regions of target genes to regulate their expression. The NF-κB complex is a homo- or heterodimer formed by the REL-like domain-containing proteins RELA/p65, RELB, NFKB1/p105, NFKB1/p50, REL and NFKB2/p52, of which the heterodimeric RELA-NFKB1 complex is the most abundant. Once inside the nucleus, post-translational modifications, such as the phosphorylation of RELA/p65 at Ser536, increase NF-κB transcriptional activity and modulate DNA binding and/or oligomerization [22,23].
In a previous study from our laboratory, we compared the transcriptome of endometrial tissue from equally obese women with and without cancer [24]. We found that the glucose transporter GLUT6 (SLC2A6) was upregulated in malignant tissue by ~37-fold, more so than any other glucose transporter. We validated that GLUT6 protein was upregulated in malignant tissue compared to matched benign tissue of an independent cohort of endometrial cancer patients [24]. GLUT6 was also highly expressed in 7 human endometrial cancer cell lines, but only lowly expressed in normal endometrial epithelial or stromal cell lines. Importantly, knockdown of GLUT6 in endometrial cancer cells decreased glucose metabolism and induced cell death [24]. Results from this study suggested that GLUT6 may be beneficial for endometrial tumour growth and/or survival. Furthermore, since GLUT6 is not widely expressed in the human body [25] and loss of GLUT6 does not result in any deleterious effects to mouse physiology, whole-body glucose metabolism [26] or macrophage inflammatory function [27,28], GLUT6 represents an attractive therapeutic target for endometrial cancer. However, it is unclear what factor/s drive GLUT6 expression in endometrial cancer. The aim of this study was to therefore identify factors that regulate GLUT6 expression to gain a better understanding of the mechanisms underpinning GLUT6 upregulation in endometrial cancer.
Section snippets
SureFind transcriptome PCR array
The SureFIND Transcriptome PCR array (Qiagen) consists of cDNA prepared from mRNA that was isolated from MCF7 cells treated with pooled functionally-verified siRNAs against 270 transcription factors or non-targeting siRNA controls plated in 96-well plates. GLUT6 gene expression was determined in each sample by qRT-PCR using GLUT6-specific primers (forward 5’-TCTCAGCGGCCATCATGTTT-3′ and reverse 5’-GGCGTAGCCCATGATGAAGA-3′). qRT-PCR was performed using QuantiNova SYBR green with thermocycling
qRT-PCR
Real-time PCR (qRT-PCR) was performed as described previously [27]. Primers sequences designed to amplify human genes are as follows; SLC2A1-F 5′-CACCACCTCACTCCTGTTAC-3′, SLC2A1-R 5′- CCACTTACTTCTGTCTCACTCC-3′, SLC2A3-F 5′-CAATGCTCCTGAGAAGATCATAA-3′, SLC2A3-R 5′-AAAGCGGTTGACGAAGAGT-3′, SLC2A4-F 5′- CTGGGCCTCACAGTGCTAC -3′, SLC2A4-R 5′-GTCAGGCGCTTCAGACTCT-3′, SLC2A6-F 5′-TCTCAGCGGCCATCATGTTT-3′, SLC2A6-R 5′-GGCGTAGCCCATGATGAAGA-3′, SLC2A8-F 5′-TCATGGCCTTTCTCGTGAC-3′, SLC2A8-R 5′-
Correlations between GLUT6 gene expression in human endometrial cancer tissues
We previously demonstrated that GLUT6 expression was increased in endometrial cancer tissues [24]. We therefore investigated whether GLUT6 was altered in other cancer types by mining The Cancer Genome Atlas (TCGA) PanCan datasets in cBioPortal (http://cbioportal.org) [30]. By querying SLC2A6 (the GLUT6 gene) we found that GLUT6 is altered in 1% of all cancer samples (157 of 10, 967 samples). Uterine cancer (TCGA PanCan 2018) had the highest number of alterations with 4.73% (25 of 529 cases) (
Discussion
Our laboratory was the first to discover that the glucose transporter GLUT6 is upregulated in early-stage/grade endometrioid (obesity-related) endometrial cancer, and determined that GLUT6 expression is more closely associated with endometrial cancer than other glucose transporters [24]. In this study, we mined TCGA datasets and discovered that the GLUT6 gene (SLC2A6) is altered in many types of cancer, but most commonly uterine endometroid carcinomas. These results provided further rationale
Ethics approval and consent to particpate
Not applicable.
Consent for publication
Not applicable.
Availability of data and material
All data generated or analysed during this study are included in this article [and its supplementary information files].
Funding
This work was supported by an Early Career Fellowship from the Cancer Institute NSW (to F.L.B., 2018/ECF003) and an Australian Government Research Training Program Stipend Scholarship (to B.T.C.).
Author contributions
B.T.C. and F.L.B. conceived the study, B.T.C. performed experiments, B.T.C and F.L.B analysed data, B.T.C drafted the original manuscript, and F.L.B. edited the manuscript. All authors read and approved the final manuscript.
Declaration of Competing Interest
The authors declare no conflicts of interest.
Acknowledgments
The authors thank Dr. Peter Geelan-Small (Stats Central, UNSW) for guidance with statistics.
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