Metabolomic and Lipidomic Profiling Identifies The Role of the RNA Editing Pathway in Endometrial Carcinogenesis

Endometrial cancer (EC) remains the most common malignancy of the genital tract among women in developed countries. Although much research has been performed at genomic, transcriptomic and proteomic level, there is still a significant gap in the metabolomic studies of EC. In order to gain insights into altered metabolic pathways in the onset and progression of EC carcinogenesis, we used high resolution mass spectrometry to characterize the metabolomic and lipidomic profile of 39 human EC and 17 healthy endometrial tissue samples. Several pathways including lipids, Kynurenine pathway, endocannabinoids signaling pathway and the RNA editing pathway were found to be dysregulated in EC. The dysregulation of the RNA editing pathway was further investigated in an independent set of 183 human EC tissues and matched controls, using orthogonal approaches. We found that ADAR2 is overexpressed in EC and that the increase in expression positively correlates with the aggressiveness of the tumor. Furthermore, silencing of ADAR2 in three EC cell lines resulted in a decreased proliferation rate, increased apoptosis, and reduced migration capabilities in vitro. Taken together, our results suggest that ADAR2 functions as an oncogene in endometrial carcinogenesis and could be a potential target for improving EC treatment strategies

Metabolomic and lipidomic profiling identifies the role of the RNA editing pathway in endometrial carcinogenesis

Endometrial cancer (EC) remains the most common malignancy of the genital tract among women in developed countries. Although much research has been performed at genomic, transcriptomic and proteomic level, there is still a significant gap in the metabolomic studies of EC. In order to gain insights into altered metabolic pathways in the onset and progression of EC carcinogenesis, we used high resolution mass spectrometry to characterize the metabolomic and lipidomic profile of 39 human EC and 17 healthy endometrial tissue samples. Several pathways including lipids, Kynurenine pathway, endocannabinoids signaling pathway and the RNA editing pathway were found to be dysregulated in EC. The dysregulation of the RNA editing pathway was further investigated in an independent set of 183 human EC tissues and matched controls, using orthogonal approaches. We found that ADAR2 is overexpressed in EC and that the increase in expression positively correlates with the aggressiveness of the tumor. Furthermore, silencing of ADAR2 in three EC cell lines resulted in a decreased proliferation rate, increased apoptosis, and reduced migration capabilities in vitro. Taken together, our results suggest that ADAR2 functions as an oncogene in endometrial carcinogenesis and could be a potential target for improving EC treatment strategies.This work was supported by the Spanish Ministry of Health (RD12/0036/0035), the Spanish Ministry of Economy and Competitivy (PI14/02043), the AECC (Grupos Estables de Investigacion 2011 - AECC- GCB 110333 REVE), the Fundació La Marató TV3 (2/C/2013), the CIRIT Generalitat de Catalunya (2014 SGR 1330) and the European Commission, 7th Framework Program, IRSES (PROTBIOFLUID –269285) – Belgium. Te Spanish Ministry of Economy and Competitiveness (IJCI-2015-25000) granted Dr. Colás and and the AGAUR Generalitat de Catalunya (2015FI_B00703) granted Tatiana Altadill. Te authors would like to acknowledge the Proteomics and Metabolomics Shared Resource partially supported by Cancer Center Support Grant NIH/NCI grant P30-CA051008. Te Institut de Salud Carlos III (FIS (PI13/01701)) also supported this project. Tissue samples were obtained with the support of “Xarxa Catalana de Bancs de Tumors” and “Plataforma de Biobancos” ISCIII (PT13/0010/0014)

Chemopreventive Metabolites Are Correlated with a Change in Intestinal Microbiota Measured in A-T Mice and Decreased Carcinogenesis.

Intestinal microbiota play a significant role in nutrient metabolism, modulation of the immune system, obesity, and possibly in carcinogenesis, although the underlying mechanisms resulting in disease or impacts on longevity caused by different intestinal microbiota are mostly unknown. Herein we use isogenic Atm-deficient and wild type mice as models to interrogate changes in the metabolic profiles of urine and feces of these mice, which are differing in their intestinal microbiota. Using high resolution mass spectrometry approach we show that the composition of intestinal microbiota modulates specific metabolic perturbations resulting in a possible alleviation of a glycolytic phenotype. Metabolites including 3-methylbutyrolactone, kyneurenic acid and 3-methyladenine known to be onco-protective are elevated in Atm-deficient and wild type mice with restricted intestinal microbiota. Thus our approach has broad applicability to study the direct influence of gut microbiome on host metabolism and resultant phenotype. These results for the first time suggest a possible correlation of metabolic alterations and carcinogenesis, modulated by intestinal microbiota in A-T mice

Chemopreventive Metabolites Are Correlated with a Change in Intestinal Microbiota Measured in A-T Mice and Decreased Carcinogenesis.

Intestinal microbiota play a significant role in nutrient metabolism, modulation of the immune system, obesity, and possibly in carcinogenesis, although the underlying mechanisms resulting in disease or impacts on longevity caused by different intestinal microbiota are mostly unknown. Herein we use isogenic Atm-deficient and wild type mice as models to interrogate changes in the metabolic profiles of urine and feces of these mice, which are differing in their intestinal microbiota. Using high resolution mass spectrometry approach we show that the composition of intestinal microbiota modulates specific metabolic perturbations resulting in a possible alleviation of a glycolytic phenotype. Metabolites including 3-methylbutyrolactone, kyneurenic acid and 3-methyladenine known to be onco-protective are elevated in Atm-deficient and wild type mice with restricted intestinal microbiota. Thus our approach has broad applicability to study the direct influence of gut microbiome on host metabolism and resultant phenotype. These results for the first time suggest a possible correlation of metabolic alterations and carcinogenesis, modulated by intestinal microbiota in A-T mice

Bacterial phylotypes inhabiting the mucosa of small intestine and colon samples from CM and RM mice identified by high throughput Illumina analysis of the 16S rRNA gene.

<p>Bacterial phylotypes inhabiting the mucosa of small intestine and colon samples from CM and RM mice identified by high throughput Illumina analysis of the 16S rRNA gene.</p

Urine metabolomics in RM and CM mouse models.

<p>Panel A and C. Volcano plots facilitating visualization of differentially abundant metabolites that were selected based on fold change (X-axis) and p-value in (Y-axis) for Atm-KO and WT mice, respectively. The m/z values highlighted in pink have a fold change of ≥ 0.5 or ≤ 2.0 and p-value ≤ 0.05 in RM as compared to CM mice and were selected for further characterization. Panel B and D: PCA plots showing separation between RM and CM in Atm-KO and WT mice, respectively.</p

Gut microbiota modulates fecal metabolomic profiles in Atm-KO and WT mice.

<p>Panel A and C. Volcano plots facilitating visualization of differentially abundant metabolites that were selected based on fold change (X-axis) and p-value in (Y-axis) for Atm-KO and WT mice, respectively. The m/z values highlighted in pink have a fold change of ≥ 0.5 or ≤ 2.0 and p-value ≤ 0.05 in RM as compared to CM mice and were selected for further characterization. Panels B and D: PCA plots showing separation between RM and CM in Atm-KO and WT mice, respectively.</p

Heat map showing differential abundance of fecal metabolites in various study groups (Panels A-D): Metabolites profiles for Atm-KO-CM group, Atm-KO-RM, WT-CM, and WT-RM, respectively.

<p>Each column represents a sample, and each row represents a metabolite. The mean signal intensity of CM group is colored black; red indicates above-mean intensity, green denotes below mean intensity, and the degree of color saturation reflects the magnitude of intensity relative to the mean.</p

Urine metabolites that were differentially abundant in RM as compared to CM in only Atm-KO mice.

<p>Urine metabolites that were differentially abundant in RM as compared to CM in only Atm-KO mice.</p