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Oncotarget1587 www.impactjournals.com/oncotarget www.impactjournals.com/oncotarget/ Oncotarget, 2018, Vol. 9, (No. 2), pp: 1587-1601 Robust diagnosis of Ewing sarcoma by immunohistochemical detection of super-enhancer-driven EWSR1-ETS targets Michaela C. Baldauf1,*, Martin F. Orth1,*, Marlene Dallmayer1,*, Aruna Marchetto1, Julia S. Gerke1, Rebeca Alba Rubio1, Merve M. Kiran2, Julian Musa1, Maximilian M. L. Knott1, Shunya Ohmura1, Jing Li1, Nusret Akpolat3, Ayse N. Akatli3, Özlem Özen4, Uta Dirksen5, Wolfgang Hartmann6, Enrique de Alava7, Daniel Baumhoer8, Giuseppina Sannino1, Thomas Kirchner9,10,11 and Thomas G. P. Grünewald1,9,10,11 1 Max-Eder Research Group for Pediatric Sarcoma Biology, Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany 2 Department of Pathology, Medical Faculty, Ankara Yildirim Beyazit University, Ankara, Turkey 3 Department of Pathology, Turgut Ozal Medical Center, Inonu University, Malatya, Turkey 4 Department of Pathology, Başkent University Hospital, Ankara, Turkey 5 Department of Pediatric Hematology and Oncology, University Hospital Essen, Essen, Germany 6 Gerhard-Domagk-Institute for Pathology, University Hospital Münster, Westfalian Wilhelms University, Münster, Germany 7 Institute of Biomedicine of Seville (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, CIBERONC, Seville, Spain 8 Bone Tumour Reference Center, Institute of Pathology, University Hospital Basel, University of Basel, Basel, Switzerland 9 Institute of Pathology, Faculty of Medicine, LMU Munich, Munich, Germany 10 German Cancer Consortium (DKTK), Heidelberg, Germany 11 German Cancer Research Center (DKFZ), Heidelberg, Germany * These authors have contributed equally to this work Correspondence to: Thomas G. P. Grünewald, email: [email protected] Keywords: Ewing sarcoma, Ewing-like sarcoma, immunohistochemistry, BCL11B, GLG1 Received: July 18, 2017 Accepted: July 23, 2017 Published: August 04, 2017 Copyright: Baldauf et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Ewing sarcoma is an undifferentiated small-round-cell sarcoma. Although molecular detection of pathognomonic EWSR1-ETS fusions such as EWSR1-FLI1 enables definitive diagnosis, substantial confusion can arise if molecular diagnostics are unavailable. Diagnosis based on the conventional immunohistochemical marker CD99 is unreliable due to its abundant expression in morphological mimics. To identify novel diagnostic immunohistochemical markers for Ewing sarcoma, we performed comparative expression analyses in 768 tumors representing 21 entities including Ewing-like sarcomas, which confirmed that CIC-DUX4-, BCORCCNB3-, EWSR1-NFATc2-, and EWSR1-ETS-translocated sarcomas are distinct entities, and revealed that ATP1A1, BCL11B, and GLG1 constitute specific markers for Ewing sarcoma. Their high expression was validated by immunohistochemistry and proved to depend on EWSR1-FLI1-binding to highly active proximal super-enhancers. Automated cut-off-finding and combination-testing in a tissue-microarray comprising 174 samples demonstrated that detection of high BCL11B and/or GLG1 expression is sufficient to reach 96% specificity for Ewing sarcoma. While 88% of tested Ewing-like sarcomas displayed strong CD99-immunoreactivity, none displayed combined strong BCL11B- and GLG1-immunoreactivity. Collectively, we show that ATP1A1, BCL11B, and GLG1 are EWSR1-FLI1 targets, of which BCL11B and GLG1 offer a fast, simple, and cost-efficient way to diagnose Research Paper
Oncotarget1588 www.impactjournals.com/oncotarget INTRODUCTION Ewing sarcoma is characterized by the presence of chimeric EWSR1-ETS fusion oncogenes [1]. Before the discovery of this unifying genetic hallmark, diagnosing Ewing sarcoma definitively was challenging [2] as Ewing sarcoma tumors are largely composed of undifferentiated cells displaying a small-round-cell phenotype [3, 4]. This phenotype is shared by many other tumor entities such as rhabdomyosarcoma and neuroblastoma [5]. Recently, several so-called Ewing-like sarcoma subtypes have been identified [6-9]. These tumors are characterized by distinct fusion oncogenes and transcriptomic signatures [6-12], as well as (most likely) by distinct clinical behavior [6, 12, 13]. Although Ewing sarcoma can usually be reliably distinguished from its morphological mimics by cytogenetic and molecular genetic analyses [14, 15], there is currently no robust biomarker available for routine histology. Substantial diagnostic confusion can arise because sophisticated cytogenetic and molecular diagnostic techniques are not universally available or too expensive for some diagnostic facilities (particularly in developing countries). While the widely used immunohistochemical biomarker CD99 shows high sensitivity for Ewing sarcoma, its low specificity and high expression in morphological mimics such as CIC- and BCOR-rearranged sarcomas, as well as in certain lymphoma subtypes and poorly differentiated synovial sarcoma, are problematic [3, 11-13, 16-18]. Thus, CD99 alone is unreliable to definitively diagnose Ewing sarcoma. Other studies identified auxiliary markers such as NKX2-2 and FLI1, which may help in some cases [19, 20]. However, a systematic and agnostic transcriptomewide screen for auxiliary markers and testing of their value when used in combination has not been done so far. In the current study, comparative expression analyses revealed that ATP1A1, BCL11B, and GLG1 constitute potential specific markers for Ewing sarcoma. Expression of these genes appeared to be induced by EWSR1-FLI1- bound super-enhancers, which showed high activity in reporter assays. Specific immunohistochemical staining of these proteins in comprehensive tissue microarrays (TMAs) combined with automated cut-off determination and combination-testing demonstrated that detecting high BCL11B and/or GLG1 levels is sufficient to reach 96% specificity for Ewing sarcoma. In fact, these markers were extremely effective at discriminating Ewing sarcoma from Ewing-like sarcomas. Hence, these results provide a fast, simple, and cost-efficient means of diagnosing Ewing sarcoma by immunohistochemistry (IHC), which is a considerable advantage for diagnostic facilities where molecular diagnostics are not available. This finding may significantly reduce the number of misdiagnosed patients and thus improve patient care. RESULTS ATP1A1, BCL11B, and GLG1 are strongly overexpressed in Ewing sarcoma compared to tumor entities of differential diagnostic relevance To identify highly specific diagnostic markers for Ewing sarcoma, we retrieved publicly available microarray gene expression data comprising genetically confirmed EWSR1-ETS-translocated Ewing sarcomas [21], 20 additional tumor entities of potential differential diagnostic relevance [5], and 71 normal tissue types. The set of morphological mimics also comprised CIC-DUX4-, BCOR-CCNB3-, and EWSR1-NFATc2-translocated sarcomas, which proved to be distinct entities as determined by unsupervised principal component analysis (PCA) (Supplementary Figure 1). We then proceeded to perform comparative expression analysis on the entire dataset: Based on these microarray expression data the median expression of every gene represented on the Affymetrix HG-U133Plus2.0 microarray was determined. Next, we calculated the expression ratio (ER) for every gene based on its median expression in pairwise comparisons of Ewing sarcoma and the remaining tumor entities. Only genes, which were strongly overexpressed in Ewing sarcoma compared to all other tumor entities defined by a minimal log2-transformed ER of > 2, were considered as diagnostically relevant. Of the 19,702 genes represented on the microarray platform, 51 had an ER of > 2 across all tested tumor entities. In parallel, the level of significance of the differential expression of all genes in pairwise comparisons of Ewing sarcoma relative to all other tumor entities was calculated. Only 10 genes exhibited a Bonferroni-corrected P value < 0.05 (Figure 1A, 1B). Next, both gene lists were crossed, which showed that only 3 genes, termed ATP1A1 (ATPase Na+/K+ transporting subunit alpha1), BCL11B (B-cell CLL/lymphoma 11B), and GLG1 (Golgi glycoprotein 1) were both strongly and highly significantly overexpressed in Ewing sarcoma compared to all other tumor entities (Figure 1B). Then, the expression profiles of these three candidate biomarkers were compared to the conventional Ewing sarcoma by immunohistochemistry. These markers may significantly reduce the number of misdiagnosed patients, and thus improve patient care.
Oncotarget1589 www.impactjournals.com/oncotarget Ewing sarcoma marker CD99 across all tumor entities. While CD99 showed broad expression in many different tumor entities, ATP1A1, BCL11B, and GLG1 were only expressed at low levels in every tumor entity relative to Ewing sarcoma, indicating a higher specificity for this disease than CD99 (Figure 1C). Because commixture of tumor tissue with normal cells, which could express the three markers, could complicate immunohistochemical evaluation, we explored the expression levels of ATP1A1, BCL11B, and GLG1 and that of CD99 in Ewing sarcoma samples relative to 71 normal tissue types comprising 998 samples. As displayed in Supplementary Figure 2, ATP1A1, BCL11B, and GLG1 were only lowly expressed in some normal tissue types, while CD99 was rather broadly expressed across many normal tissue types. In fact, our three markers, except for BCL11B in thymus, were statistically significantly higher (P < 0.05) expressed in Ewing sarcoma as compared to any tested normal tissue type. EWSR1-FLI1 induces ATP1A1, BCL11B, and GLG1 expression by binding to GGAA- microsatellites found in super-enhancers The specific expression of the three candidate biomarkers in primary Ewing sarcoma suggests a possible regulatory relationship between them and EWSR1-FLI1. In fact, ATP1A1 and GLG1 were previously shown to be upregulated after ectopic expression of EWSR1-FLI1 in the rhabdomyosarcoma cell line RD [22]. Moreover, BCL11B was shown to be upregulated by EWSR1-FLI1 in Ewing sarcoma cell lines [23]. To further explore this regulatory relationship, available gene expression data were assessed, which showed that the ectopic EWSR1-FLI1 expression in embryonic stem cells was sufficient to significantly induce the expression of ATP1A1, BCL11B, and GLG1 (Figure 2A). Conversely, the shRNA-mediated knockdown of EWSR1-FLI1 in six different Ewing sarcoma cell lines significantly decreased their expression levels (Figure 2B). Such consistent EWSR1-FLI1-dependent regulation was not observed for CD99 (Figure 2A, 2B). These data in cell lines suggested that ATP1A1, BCL11B, and GLG1 may be direct EWSR1-FLI1 target genes. Testing this hypothesis involved analyzing available ChIP-Seq and DNase-Seq data generated in Ewing sarcoma cell lines, which showed strong EWSR1-FLI1-binding to GGAA-microsatellites close to these genes. Notably, these GGAA-microsatellites exhibit characteristics of active EWSR1-FLI1-dependent enhancers (Figure 3A). In fact, EWSR1-FLI1 is known to convert non-functional GGAA-microsatellites into potent enhancers to steer a large proportion of its target genes [24- 26]. Strong EWSR1-FLI1-dependent enhancer activity of these GGAA-microsatellites in luciferase reporter assays was consistently observed (Figure 3B). In agreement with previous observations [27], these EWSR1-FLI1- dependent enhancers showed the typical H3K27ac profile of so-called super-enhancers in the A673 and SK-N-MC Ewing sarcoma cell lines (Figure 3C, Supplementary Tables 1 & 2). Super-enhancers are often found near genes that have cell type-specific functions and contribute to cell identity [28, 29]. In addition to these findings in vitro, gene-set enrichment analyses of either ATP1A1-, BCL11B-, or GLG1-correlated genes within 166 primary Ewing sarcoma tumors revealed that the most significantly (min. NES = 3.08, P < 0.001, q < 0.001) associated gene expression signature among the 3,687 tested was for each candidate marker ‘ZHANG_TARGETS_OF_EWSR1- FLI1_FUSION’ [22] (Supplementary Table 3). Consistent with the previous finding that EWSR1-FLI1 and EWSR1- Table 1: Composition of the TMA Entity n Ewing sarcoma 47 Alveolar Soft Part Sarcoma 3 Ewing-like sarcoma 17 Ganglioneuroblastoma 7 Leiomyosarcoma 5 Liposarcoma 19 Malignant Fibrous Histiocytoma 3 Nephroblastoma 21 Neuroblastoma 16 Osteosarcoma 15 Rhabdomyosarcoma 11 Synovial sarcoma 10 n total: 174
Oncotarget1590 www.impactjournals.com/oncotarget Figure 1: ATP1A1, BCL11B, and GLG1 are strongly overexpressed in Ewing sarcoma compared to tumor entities of differential diagnostic relevance. A. Volcano plots of pairwise comparison of gene expression in Ewing sarcoma (EWS) and indicated tumor entities. Diffuse large B-cell lymphoma (DLBCL); mucosa-associated lymphoid tissue (MALT) lymphoma; malignant peripheral nerve sheath tumor (MPNST); alveolar rhabdomyosarcoma (ARMS); and embryonal rhabdomyosarcoma (ERMS). Genes represented in green color had an expression ratio > 2 (log2) and a P value < 0.05 (Bonferroni-corrected). B. Size-proportional Venn diagram showing the overlap of genes highly and significantly (minimal log2 expression ratio > 2; P value < 0.05, Bonferroni corrected) overexpressed in Ewing sarcoma relative to all other tumor entities given in A and C. C. Scatter dot plot depicting gene expression levels of ATP1A1, BCL11B, GLG1, and CD99 as determined by Affymetrix HG-U133Plus2.0 microarrays in primary tumors of 21 different entities. Ewing sarcoma is highlighted in green, Ewing-like sarcomas (CIC-DUX4 or BCOR-CCNB3 translocation positive) are highlighted in orange. Horizontal bars represent median expression levels. The number of analyzed samples is given in parentheses.
Oncotarget1591 www.impactjournals.com/oncotarget ERG bind to highly similar DNA-motifs [30], all three genes are similarly highly expressed in Ewing sarcoma cell lines regardless of the specific EWSR1-ETS status (Supplementary Figure 3). Collectively, these data strongly suggest that ATP1A1, BCL11B, and GLG1 are direct EWSR1-ETS target genes. ATP1A1 and GLG1 may have prognostic relevance in Ewing sarcoma To explore the potential of ATP1A1, BCL11B, GLG1, and CD99 as prognostic biomarkers, we analyzed the association of their expression levels with outcome in a Figure 2: EWSR1-FLI1 is sufficient to induce ATP1A1, BCL11B, and GLG1 expression. A. Analysis of gene expression levels of ATP1A1, BCL11B, GLG1, and CD99 by Affymetrix HG-U133Plus2.0 microarrays in human embryonic stem cells after ectopic expression of EWSR1-FLI1 (GSE64686). Bars represent the medians. Two-tailed student’s t test. B. Analysis of gene expression levels of ATP1A1, BCL11B, GLG1, and CD99 by Affymetrix HG-U133A microarrays 96 h after short hairpin RNA-mediated knockdown (kd) of EWSR1-FLI1 in six different Ewing sarcoma cell lines (GSE14543 and GSE27524). Data are represented as before-after plots in which each dot represents a cell line. Two-tailed student’s t test.
Oncotarget1592 www.impactjournals.com/oncotarget large cohort of Ewing sarcoma patients (n = 166). Whereas higher ATP1A1 and GLG1 expression levels showed a significant correlation with better patient outcome (P = 0.006 and P = 0.0028, respectively), BCL11B and CD99 Figure 3: EWSR1-FLI1 binds to GGAA-microsatellites with enhancer activity located close to or within the ATP1A1, BCL11B, or GLG1 gene. A. Published DNase-Seq and ChIP-Seq data generated in Ewing sarcoma cell lines were displayed in the UCSC genome browser. shGFP, control; shEF1, shEWSR1-FLI1; GGAA-mSat, GGAA-microsatellite. B. Luciferase reporter assays in A673/TR/shEF1 cells containing a doxycycline (Dox)-inducible shRNA against EWSR1-FLI1 confirmed the EWSR1-FLI1-dependent enhancer activity of cloned GGAA-microsatellites (1 kb fragments). EWSR1-FLI1 knockdown was confirmed by qRT-PCR 72 h after shRNA induction. Data are presented as mean and SEM of n = 3 independent experiments. Two-tailed student’s t-test. * P < 0.05; ** P < 0.01; *** P < 0.001. C. Genome-wide analysis of published H3K27ac profiles of A673 and SK-N-MC Ewing sarcoma cell lines (GSE61944) identified super-enhancers proximal to ATP1A1, BCL11B, GLG1, and CD99. Enhancers are ranked by their H3K27ac density.
Oncotarget1593 www.impactjournals.com/oncotarget expression levels did not (Supplementary Figure 4). High expression of BCL11B and/or GLG1 is sufficient to robustly diagnose Ewing sarcoma by IHC To confirm the overexpression of ATP1A1, BCL11B, and GLG1 on the protein level, a comprehensive TMA including many solid tumor entities closely resembling Ewing sarcoma and other sarcoma entities was generated (Table 1). Immunohistochemical staining of the TMAs was carried out with anti-ATP1A1, anti-BCL11B, anti- GLG1, and anti-CD99 antibodies, and immunoreactivity scores (IRS) were determined in analogy to the Remmele and Stegner [31] scoring system (IRS range from 0 to 12; Figure 4A, 4b). As displayed in Figure 4B, CD99 expression was not very specific for Ewing sarcoma Figure 4: High expression of BCL11B and/or GLG1 is sufficient to robustly diagnose Ewing sarcoma by IHC. A. Representative IHC images for the indicated marker. ATP1A1 is expressed in the cytoplasm, BCL11B in the nucleus, GLG1 at the perinuclear Golgi apparatus, and CD99 at the membrane. Scale bars = 100 µm. For ATP1A1, BCL11B, and GLG1 a red and for CD99 a brown chromogen was used. B. Scatter dot plots of the individual IRS for the indicated marker. The number of analyzed samples is given in parentheses. Bars represent mean IRS values, whiskers indicate the 95%-CI. Green dashed lines indicate the cut-offs to define sensitivity and specificity for detecting Ewing sarcoma as given in the table below. ASPS: alveolar soft part sarcoma. Ewing samples are highlighted in green color. C. Proposed work-flow for establishing robust diagnosis of Ewing sarcoma.
Oncotarget1594 www.impactjournals.com/oncotarget compared to other sarcoma entities as well as Ewing-like sarcomas. However, CD99 reached 100% sensitivity for Ewing sarcoma in this TMA when applying a cut-off of IRS > 2. Compared to CD99, the three candidate markers were all less sensitive at any given cut-off, but much more specific (specificity 90 - 97%) when being highly expressed (defined as IRS > 9) (Supplementary Table 4). Automated cut-off-finding and combination-testing algorithms were then applied to the samples and set of candidate markers to identify a minimal set of markers and optimal cut-offs for robustly diagnosing Ewing sarcoma by IHC. These analyses indicated that while CD99 is a very valuable marker for screening for Ewing sarcoma, it needs auxiliary markers to establish a robust diagnosis. Further analyses indicated that while ATP1A1 exhibited high specificity (90%), it had no additional value for establishing Ewing sarcoma diagnosis if it was combined with BCL11B and GLG1. In fact, detecting high BCL11B and/or GLG1 expression in CD99-high tumors reached a specificity for Ewing sarcoma of at least 96%, and of 99% if both markers were highly expressed (defined as IRS > 9). Strikingly, strong combined immunoreactivity for BCL11B and GLG1 was not observed in any of the tested Ewing-like sarcomas, while CD99 immunoreactivity was found in 15 of 17 cases (88%). Thus, the following work-flow is proposed to establish a diagnosis of Ewing sarcoma (Figure 4C): In the case of clinically and/or radiologically suspected Ewing sarcoma, a biopsy should first be stained for CD99. If CD99 is positive (defined as IRS > 2), confirmatory molecular diagnostic procedures (such as FISH, qRT- PCR, and/or next-generation sequencing), if available, are preferred. If molecular diagnostic procedures are unavailable or the biopsy material is not suitable, an IHC- staining for BCL11B and GLG1 as well as subsequent scoring according to the Remmele and Stegner system should be performed. Since high expression of BCL11B and/or GLG1 (defined as IRS > 9) was found in 79% of all Ewing Sarcoma cases and associated with a specificity of 96%, diagnosis of Ewing sarcoma should be strongly considered if one or both markers are highly expressed. Collectively, our data provide evidence that fast and robust diagnosis of Ewing sarcoma is enabled by immunohistochemical detection of the super-enhancer- driven EWSR1-ETS targets BCL11B and GLG1. DISCUSSION Ewing sarcoma is genetically defined by pathognomonic EWSR1-ETS fusion transcripts [1]. To date, at least 18 types of chimeric EWSR1-FLI1 transcripts have been reported [6]. Alternatively, EWSR1 can be fused with ERG, ETV1, E1A-F (alias ETV4) or FEV in Ewing sarcoma [6]. Although CIC-DUX4- and BCOR-CCNB3- translocated sarcomas were shown previously to be distinct from EWSR1-ETS-translocated Ewing sarcomas [12, 32], the situation was less clear for EWSR1-NFATc2- translocated sarcomas. In fact, these tumors were until recently still considered by some authors as being simply a variant of Ewing sarcoma [33]. However, our PCA showed that EWSR1-NFATc2-translocated sarcomas are clearly distinct from EWSR1-ETS-translocated Ewing sarcomas, and confirm that EWSR1-NFATc2-translocated sarcomas also do not show any transcriptomic similarity with neither CIC-DUX4- nor BCOR-CCNB3-translocated sarcomas (Supplementary Figure 1). Although several molecular diagnostic tools are available to identify Ewing sarcoma among morphological mimics by detecting these gene fusions (e.g. by FISH, qRT-PCR, and/or direct sequencing), there are several limitations: All these techniques require good-quality DNA or RNA, which is not available in more than 10% of cases [11]. In addition, FISH can sometimes yield non-informative results [14]. Moreover, there is a risk of falsely diagnosing a tumor as Ewing sarcoma based on FISH, because break-apart of the EWSR1 gene can also be observed in other sarcoma entities such as desmoplastic small-round-cell tumor (DSRCT), clear cell sarcoma, angiomatoid fibrous histiocytoma, extraskeletal myxoid chondrosarcoma, and a subset of myxoid liposarcoma [34]. Conversely, PCR-based assays can yield false negative results as the PCR may not cover the entire spectrum of different EWSR1-ETS fusions. Thus, some authors recommend combining FISH and qRT-PCR [11]. However, these sophisticated techniques are not available in all diagnostic facilities, especially in developing countries, which poses a significant obstacle to accurately diagnosing Ewing sarcoma. To offer a simple, fast, and cost-effective way to reliably diagnose Ewing sarcoma by IHC, we combined in silico, in vitro, and in situ analyses, and found that the high expression of BCL11B and/or GLG1 is nearly diagnostic for this disease. It was shown that both genes are direct EWSR1-FLI1-targets, which are specifically overexpressed in Ewing sarcoma. In fact, their genetic loci exhibit EWSR1-FLI1-dependent super-enhancers that usually control the expression of tissue-defining genes [28]. In particular, the high expression of the chosen markers was highly effective in discriminating Ewing sarcoma from EWSR1-ETS-negative Ewing-like sarcomas, which expressed CD99 at high levels in 88% of our cases. Nevertheless, it should be noted that some small-round-cell sarcoma subtypes such as DSRCTs could not be included in our primary screen as compatible gene expression microarrays were not publicly available. However, Surdez et al. published a transcriptomic comparison of DSRCTs and the same Ewing sarcoma samples as used in the current study, which proved that none of our markers ranges among the top 150 overexpressed probesets in DSRCT [35]. This finding was replicated in a subsequent study [25]. Previously, another EWSR1-FLI1 target gene,
Oncotarget1595 www.impactjournals.com/oncotarget NKX2-2, was proposed to serve in combination with CD99 as a useful immunohistochemical marker for Ewing sarcoma [36]. In our comparative microarray analyses, NKX2-2 did not, however, meet the stringent selection criteria for further validation. Similarly, another report showed that NKX2-2 is not fully specific for Ewing sarcoma [20]. Although most Ewing sarcoma tumors show only little infiltration by lymphocytes [37], the fact that BCL11B is expressed in normal T cells (Supplementary Figure 2) should be taken into account when assessing immunoreactivity in small-round-cell tumors. In indeterminate cases, a CD3 staining may be helpful (Supplementary Figure 5). In agreement with similar findings on different markers in other cancer entities [38, 39], ATP1A1 and GLG1 may have diagnostic as well as prognostic utility. However, this finding needs to be validated in an independent and larger cohort on the protein level. Interestingly, all three original candidate markers play a role in fibroblast growth factor (FGF)-signaling. ATP1A1 is required for unconventional secretion of FGF [40], BCL11B promotes FGF-signaling by transcriptional suppression of a negative feedback inhibitor [23, 41], and GLG1 (alias cysteine-rich FGF receptor) is known to regulate intracellular levels of FGF [42]. Several studies have shown that FGF promotes EWSR1-FLI1 expression [43] and growth of Ewing sarcoma cells in vitro and in vivo [25, 41], and that FGF-inhibitors could be used as a targeted treatment for Ewing sarcoma patients [44]. Although more work needs to be done to elucidate the precise role of ATP1A1, BCL11B, and GLG1 in FGF- signaling, it is tempting to speculate that they could serve as predictive biomarkers for the efficacy of FGF- inhibitors. Collectively, we propose utilizing BCL11B and GLG1 as novel biomarkers for the diagnosis of Ewing sarcoma and recommend validating their diagnostic value in a prospective and multi-centered setting. It will be essential to further develop and characterize specific monoclonal antibodies directed against these proteins to improve and standardize their diagnostic utility. MATERIALS AND METHODS Human samples and ethics approval Human tissue samples were retrieved from the archives of the Institute of Pathology of the LMU Munich (Germany), the Department of Pathology, Turgut Ozal Medical Center, Inonu University (Turkey), the Başkent University Hospital (Turkey), the Gerhard-Domagk- Institute for Pathology of the University of Münster (Germany), the Institute of Biomedicine of Seville (Spain), and the Bone Tumour Reference Centre at the Institute of Pathology of the University Hospital Basel (Switzerland) with approval of the corresponding institutional review boards. The LMU Munich’s ethics committee approved the current study (approval no. 550-16 UE). Microarray analyses Publicly available gene expression data generated with the Affymetrix HG-U133Plus2.0 DNA microarray for 1,790 samples comprising 21 tumor entities and 71 normal tissue types were retrieved from several repositories. Accession codes are given in Supplementary Table 5. All Ewing sarcoma samples were genetically verified to contain a specific EWSR1-ETS translocation as previously described [21]. After rigorous quality-checks (including the Relative Log Expression (RLE) and Normalized Unscaled Standard Error (NUSE)) and careful clinical annotation validation, expression intensities were calculated simultaneously with the Robust Multi-array Average (RMA) algorithm (including background adjustment, quantile normalization, and summarization), using custom brainarray chip description file (CDF, ENTREZG, V19), which yielded one optimized probe-set per gene [45]. The pairwise ER of every gene was calculated based on its median expression levels in primary Ewing sarcoma tumors and any of the 20 other remaining tumor entities. The differential gene expression’s statistical significance was calculated with an unpaired, two-tailed Student’s t-test. The resulting P values were adjusted for multiple testing with the Bonferroni method. Only genes with an ER of > 2 between Ewing sarcoma and any other tumor entity and a Bonferroni-corrected P value < 0.05 across all tumor entities compared with Ewing sarcoma were considered diagnostically relevant. PCA was performed in R [46]. Publicly available gene expression microarray data for ectopic EWSR1-FLI1 expression in embryonic stem cells (Affymetrix HG-U133Plus2.0; GSE64686 [47]) and from Ewing sarcoma cell lines that were either transiently transfected with an shRNA directed against EWSR1-FLI1 or a control shRNA (TC252, SK-N-MC, STA-ET-7.2, STA-ET-1, WE68; Affymetrix HG-U133A; GSE14543 [48]) or stably transduced with a doxycycline-inducible shRNA against EWSR1-FLI1 (A673; Affymetrix HG- U133A 2.0; GSE27524 [49]) were normalized by RMA using custom brainarray CDF (ENTREZG, v19). To identify the pathways and biological processes associated with a given gene present in normalized gene expression data from primary Ewing sarcoma tumors, gene-set enrichment analyses (GSEAs) were performed on ranked lists of genes in which all genes were ranked by their correlation coefficient with the given reference gene (MSigDB, c2.all.v5.1). GSEA was carried out with 1,000 permutations in default settings [50].