Most tumors have an aberrantly activated lipid metabolism 1 , 2 , which enables them to synthesize, elongate and desaturate fatty acids to support proliferation. However, only particular subsets of cancer cells are sensitive toward approaches targeting fatty acid metabolism, and in particular fatty acid desaturation 3 . This suggests that many cancer cells harbor an unexplored plasticity in their fatty acid metabolism. Here, we discover that some cancer cells can exploit an alternative fatty acid desaturation pathway. We identify various cancer cell lines, murine hepatocellular carcinomas (HCC), and primary human liver and lung carcinomas that desaturate palmitate to the unusual fatty acid sapienate to support membrane biosynthesis during proliferation. Accordingly, we found that sapienate biosynthesis enables cancer cells to bypass the known stearoyl-CoA desaturase (SCD)-dependent fatty acid desaturation. Thus, only by targeting both desaturation pathways the in vitro and in vivo proliferation of sapienate synthesizing cancer cells is impaired. Our discovery explains metabolic plasticity in fatty acid desaturation and constitutes an unexplored metabolic rewiring in cancers.

Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They represent a morphologically heterogeneous class of tumours and some entities lack defining histopathological features. Therefore, the diagnosis of sarcomas is burdened with a high inter-observer variability and misclassification rate. Here, we demonstrate classification of soft tissue and bone tumours using a machine learning classifier algorithm based on array-generated DNA methylation data. This sarcoma classifier is trained using a dataset of 1077 methylation profiles from comprehensively pre-characterized cases comprising 62 tumour methylation classes constituting a broad range of soft tissue and bone sarcoma subtypes across the entire age spectrum. The performance is validated in a cohort of 428 sarcomatous tumours, of which 322 cases were classified by the sarcoma classifier. Our results demonstrate the potential of the DNA methylation-based sarcoma classification for research and future diagnostic applications.

Endometrial carcinosarcomas (ECSs) undergo a true epithelial‐mesenchymal transition (EMT). The molecular determinants of the EMT in vivo are unclear, although a role for some miRNAs, mainly involving the miR‐200 family, was recently suggested from in vitro cellular models. We analysed the microRNA (miRNA) signatures associated to EMT in human carcinosarcomas, and determined their relationships with EMT markers and repressors of E‐cadherin transcription. The expression of E‐, P‐ and N‐cadherin, cadherin‐11, p120, vimentin, SPARC, fascin and caveolin‐1 was studied in a group of 76 ECS by immunohistochemistry. In addition, real‐time PCR was used to measure the differences in the expression of 384 miRNAs, E‐cadherin, cadherin‐11, SPARC, SNAIL, ZEB1, ZEB2, TWIST‐1, TCF4, TGFβ1 and TGFβ2 between the epithelial and mesenchymal components of 23 ECSs. A loss of epithelial characteristics, including cadherin switching and the acquisition of a mesenchymal phenotype, was accompanied by changes in the profile of miRNA expression and the up‐regulation of all the E‐cadherin repressors analysed. A greater than five‐fold difference in the expression of 14 miRNAs between both neoplastic components was seen. Members of the miR‐200 family were down‐regulated in the mesenchymal part of the ECS. In addition, miR‐23b and miR‐29c, which are involved in the inhibition of mesenchymal markers, and miR‐203, which is involved in the inhibition of cell stemness, were also down‐regulated. Up‐regulated miRNAs included miR‐155, miR‐369‐5p, miR‐370, miR‐450a and miR‐542‐5p. These data suggest that in human ECS, the interplay between transcriptional repressors of E‐cadherin and miRNAs provides a link between EMT‐activation and the maintenance of stemness. Copyright © 2010 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

The epithelial to mesenchymal transition (EMT) contributes to tumor invasion and metastasis in a variety of cancer types. In human breast cancer, gene expression studies have determined that basal-B/claudin-low and metaplastic cancers exhibit EMT-related characteristics, but the molecular mechanisms underlying this observation are unknown. As the family of miR-200 microRNAs has been shown to regulate EMT in normal tissues and cancer, here we evaluated whether the expression of the miR-200 family (miR-200f) and their epigenetic state correlate with EMT features in human breast carcinomas. We analyzed by qRT-PCR the expression of miR-200f members and various EMT-transcriptional inducers in a series of 70 breast cancers comprising an array of phenotypic subtypes: estrogen receptor positive (ER+), HER2 positive (HER2+), and triple negative (TN), including a subset of metaplastic breast carcinomas (MBCs) with sarcomatous (homologous or heterologous) differentiation. No MBCs with squamous differentiation were included. The DNA methylation status of miR-200f loci in tumor samples were inspected using Sequenom MassArray® MALDI-TOF platform. We also used two non-tumorigenic breast basal cell lines that spontaneously undergo EMT to study the modulation of miR-200f expression during EMT in vitro. We demonstrate that miR-200f is strongly decreased in MBCs compared with other cancer types. TN and HER2+ breast cancers also exhibited lower miR-200f expression than ER+ tumors. Significantly, the decreased miR-200f expression found in MBCs is accompanied by an increase in the expression levels of EMT-transcriptional inducers, and hypermethylation of the miR-200c-141 locus. Similar to tumor samples, we demonstrated that downregulation of miR-200f and hypermethylation of the miR-200c-141 locus, together with upregulation of EMT-transcriptional inducers also occur in an in vitro cellular model of spontaneous EMT. Thus, the expression and methylation status of miR-200f could be used as hypothetical biomarkers to assess the occurrence of EMT in breast cancer.

Pediatric malignancies including Ewing sarcoma (EwS) feature a paucity of somatic alterations except for pathognomonic driver-mutations that cannot explain overt variations in clinical outcome. Here, we demonstrate in EwS how cooperation of dominant oncogenes and regulatory germline variants determine tumor growth, patient survival and drug response. Binding of the oncogenic EWSR1-FLI1 fusion transcription factor to a polymorphic enhancer-like DNA element controls expression of the transcription factor MYBL2 mediating these phenotypes. Whole-genome and RNA sequencing reveals that variability at this locus is inherited via the germline and is associated with variable inter-tumoral MYBL2 expression. High MYBL2 levels sensitize EwS cells for inhibition of its upstream activating kinase CDK2 in vitro and in vivo, suggesting MYBL2 as a putative biomarker for anti-CDK2-therapy. Collectively, we establish cooperation of somatic mutations and regulatory germline variants as a major determinant of tumor progression and highlight the importance of integrating the regulatory genome in precision medicine.

The Hippo signaling pathway, a conserved regulator of organ size, has emerged as an important regulatory pathway in cancer. The final transducer effectors of this pathway in mammals are the oncoproteins TAZ and YAP1, which are transcriptional coactivators of target genes involved in cell proliferation and survival. TAZ has been previously reported to play a role in tumorigenesis in breast cancer, but detailed analyses of the different breast cancer phenotypes have not been conducted thus far. We analyzed TAZ expression by immunohistochemistry in a retrospective series of 640 invasive breast carcinomas, comprising estrogen/progesterone receptor-positive (ERC/PRC), HER2-positive, and triple-negative (TN) tumors. We found a strong association of TAZ nuclear expression with the TN phenotype (60.5% TAZ-positive, P!0.001), which was strengthened when stratified into the basal-like subtype (70.8% TAZ-positive, P!0.001). Moreover, 90% of metaplastic breast carcinomas with morphological epithelial-mesenchymal transition features were TAZ-positive. We also investigated whether amplification or differential DNA methylation of the TAZ-encoding locus could account for the observed enhanced TAZ protein expression in the TN/basal phenotype. Amplification of the TAZ locus was analyzed by fluorescence in situ hybridization in 30 TN tumors, and we found gene amplification in some cases (6.45%). DNA methylation analysis was performed using the Sequenom MassArray MALDI-TOF platform, and we observed similar low methylation levels both in TN (nZ25) and ERC/PRC (nZ26) tumors. These results were further confirmed using a panel of breast cancer cell lines and using the TCGA dataset. Finally, patients with strong TAZ expression showed poorer clinical outcomes with respect to both recurrence and overall survival.

Undifferentiated endometrial carcinomas are very aggressive high-grade endometrial carcinomas that are frequently under-recognized. This study aimed to analyze the molecular alterations underlying the development of these endometrial carcinomas, focusing on those related to dedifferentiation. We assessed a series of 120 tumors: 57 grade 1 and 2 endometrioid endometrial carcinomas, 15 grade 3 endometrioid endometrial carcinomas, 27 endometrial serous carcinomas, and 21 undifferentiated endometrial carcinomas. We found a high frequency of DNA mismatch repair deficiency (38%) and moderate rate of p53 overexpression (B33%) in undifferentiated carcinomas. In contrast to the characteristic endometrioid phenotype, there was a dramatic downregulation of E-cadherin expression in the undifferentiated subtype. Quantitative methylation studies dismissed CDH1 promoter hypermethylation as the mechanism responsible for this change in gene expression, while immunohistochemistry revealed that the E-cadherin repressor ZEB1 was frequently overexpressed (62%) in undifferentiated endometrial carcinomas. This finding was accompanied by a sharp downregulation in the expression of the miR-200 family of microRNAs, well-known targets of ZEB1. Furthermore, there was enhanced expression of epithelialto-mesenchymal transition markers in undifferentiated endometrial carcinomas, such as N-cadherin, cytoplasmic p120, and osteonectin. In addition, HMGA2, a regulator of epithelial-to-mesenchymal transition that is expressed in aggressive endometrial tumors, such as endometrial serous carcinomas and carcinosarcomas, was expressed in 420% of undifferentiated carcinomas. These results suggest that ZEB1 overexpression, associated with E-cadherin and miR-200s downregulation, and the expression of mesenchymal markers might enhance the metastatic potential of undifferentiated endometrial carcinomas, leading to a poor prognosis. In addition, our observations suggest that the immnohistochemical analysis of E-cadherin and ZEB1 can aid in the differential diagnosis of the more agressive undifferentiated endometrial carcinomas from grade 3 endometrioid carcinomas.

Next-generation sequencing (NGS) has overcome important limitations to the molecular diagnosis of Inherited Retinal Dystrophies (IRD) such as the high clinical and genetic heterogeneity and the overlapping phenotypes. The purpose of this study was the identification of the genetic defect in 32 Spanish families with different forms of IRD. With that aim, we implemented a custom NGS panel comprising 64 IRD-associated genes in our population, and three disease-associated intronic regions. A total of 37 pathogenic mutations (14 novels) were found in 73% of IRD patients ranging from 50% for autosomal dominant cases, 75% for syndromic cases, 83% for autosomal recessive cases, and 100% for X-linked cases. Additionally, unexpected phenotype-genotype correlations were found in 6 probands, which led to the refinement of their clinical diagnoses. Furthermore, intra- and interfamilial phenotypic variability was observed in two cases. Moreover, two cases unsuccessfully analysed by exome sequencing were resolved by applying this panel. Our results demonstrate that this hypothesis-free approach based on frequently mutated, population-specific loci is highly cost-efficient for the routine diagnosis of this heterogeneous condition and allows the unbiased analysis of a miscellaneous cohort. The molecular information found here has aid clinical diagnosis and has improved genetic counselling and patient management.