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Background: Cancer stem/Initiating cell (CS/IC) hypothesis argues that CS/ICs are responsible of tumour initiation, drug resistance, metastasis or disease relapse. Their detection in several cancers supports this concept. However, their origin is still misunderstood. Cell fusion is shown to take part in the formation of CS/ICs, i.e. fusion between mesenchymal stem cell and cancer cell. In a previous paper, we described that fusion leads to hybrids with metastatic capacity. This process triggered genomic rearrangements in hybrid cells together with increased metastasis development. Here, we hypothesize that cell fusion could be strong enough to provoke a cellular reprogramming and the acquisition of CS/IC properties, promoting metastasis formation.Methods: After spontaneous cell fusion between E6E7 (IMR90 with the oncogenes E6 and E7) and RST (IMR90 fully transformed) cell lines, hybrid cells were selected by dual antibiotic selection. Cancer stem cells capacities were evaluated regarding capacity to form spheres, expression of stem cell markers and the presence of ALDHhigh cells.Results: Our data show that after cell fusion, all hybrids contain a percentage of cells with CS/ICs properties, regarding. Importantly, we lastly showed that NANOG inhibition in H1 hybrid decreases this migration capacity while having no effect on the corresponding parental cells.Conclusions: Altogether these results indicate that the combination of CS/ICs properties and genomic rearrangement in hybrids is likely to be key to tumour progression. [ABSTRACT FROM AUTHOR]

Background The biologic heterogeneity of soft tissue sarcomas (STS), even within histological subtypes, complicates treatment. In earlier studies, gene expression patterns that distinguish two subsets of clear cell renal carcinoma (RCC), serous ovarian carcinoma (OVCA), and aggressive fibromatosis (AF) were used to separate 73 STS into two or four groups with different probabilities of developing metastatic disease (PrMet). This study was designed to confirm our earlier observations in a larger independent data set. Methods We utilized these gene sets, hierarchical clustering (HC), and Kaplan-Meier analysis, to examine 309 STS, using Affymetrix chip expression profiling. Results HC using the combined AF-, RCC-, and OVCA-gene sets identified subsets of the STS samples. Analysis revealed differences in PrMet between the clusters defined by the first branch point of the clustering dendrogram (p = 0.048), and also among the four different clusters defined by the second branch points (p < 0.0001). Analysis also revealed differences in PrMet between the leiomyosarcomas (LMS), dedifferentiated liposarcomas (LipoD), and undifferentiated pleomorphic sarcomas (UPS) (p = 0.0004). HC of both the LipoD and UPS sample sets divided the samples into two groups with different PrMet (p = 0.0128, and 0.0002, respectively). HC of the UPS samples also showed four groups with different PrMet (p = 0.0007). HC found no subgroups of the LMS samples. Conclusions These data confirm our earlier studies, and suggest that this approach may allow the identification of more than two subsets of STS, each with distinct clinical behavior, and may be useful to stratify STS in clinical trials and in patient management. [ABSTRACT FROM AUTHOR]

Abstract: Histological grading, that is, grading based only on histological parameters, evaluates the degree of malignancy and the probability of distant metastasis for cancer. Several grading systems have been reported for sarcomas but the two most widely-used systems are the National Cancer Institute and the French systems. Histological grade is recognized as the most important prognostic factor for soft tissue sarcomas. However, this approach presents several limitations such as moderate reproducibility, existence of an intermediate grade and the current nearly universal use of core needle biopsies. A molecular grading system which significantly outperforms histological grading has been recently described for sarcomas. It is based on the expression profile of 67 genes related to chromosome complexity and mitosis management (CINSARC for Complexity INdex in SARComas). In this article we discuss both approaches as well as the future of grading, regarding the respective values of histological and molecular grading systems, validation, extension, refinement and practical use of the molecular grading. [Copyright &y& Elsevier]

Sarcomas are heterogeneous and aggressive mesenchymal tumors. Histological grading has so far been the best predictor for metastasis-free survival, but it has several limitations, such as moderate reproducibility and poor prognostic value for some histological types. To improve patient grading, we performed genomic and expression profiling in a training set of 183 sarcomas and established a prognostic gene expression signature, complexity index in sarcomas (CINSARC), composed of 67 genes related to mitosis and chromosome management. In a multivariate analysis, CINSARC predicts metastasis outcome in the training set and in an independent 127 sarcomas validation set. It is superior to the Fédération Francaise des Centres de Lutte Contre le Cancer grading system in determining metastatic outcome for sarcoma patients. Furthermore, it also predicts outcome for gastrointestinal stromal tumors (GISTs), breast carcinomas and lymphomas. Application of the signature will permit more selective use of adjuvant therapies for people with sarcomas, leading to decreased iatrogenic morbidity and improved outcomes for such individuals. [ABSTRACT FROM AUTHOR]

Whole-genome doubling is the second most frequent genomic event, after TP53 alterations, in advanced solid tumors and is associated with poor prognosis. Tetraploidization step will lead to aneuploidy and chromosomic rearrangements. The mechanism leading to tetraploid cells is important since endoreplication, abortive cytokinesis and cell fusion could have distinct consequences. Unlike processes based on duplication, cell fusion involves the merging of two different genomes, epigenomes and cellular states. Since it is involved in muscle differentiation, we hypothesized that it could play a role in the oncogenesis of myogenic cancers. Spontaneous hybrids, but not their non-fused immortalized myoblast counterparts they are generated from, induced tumors in mice. Unstable upon fusion, the hybrid genome evolved from initial mitosis to tumors with a highly rearranged genome. This genome remodeling finally produced targeted DMD deletions associated with replicative stress, isoform relocalization and metastatic spreading, exactly as observed in human myogenic sarcomas. In conclusion, these results draw a model of myogenic oncogenesis in which cell fusion and oncogene activation combine to produce pleomorphic aggressive sarcomas. [ABSTRACT FROM AUTHOR]

Soft tissue sarcoma (STS) are rare and aggressive tumours. Their classification includes numerous histological subtypes of frequent poor prognosis. Liposarcomas (LPS) are the most frequent type among them, and the aggressiveness and deep localization of dedifferentiated LPS are linked to high levels of recurrence. Current treatments available today lead to five-year overall survival has remained stuck around 60–70% for the past three decades. Here, we highlight a correlation between Aurora kinasa A (AURKA) and AURKB mRNA overexpression and a low metastasis-free survival. AURKA and AURKB expression analysis at genomic and protein level on a 9-STS cell lines panel highlighted STS heterogeneity, especially in LPS subtype. AURKA and AURKB inhibition by RNAi and drug targeting with AMG 900, a pan Aurora Kinase inhibitor, in four LPS cell lines reduces cell survival and clonogenic proliferation, inducing apoptosis and polyploidy. When combined with doxorubicin, the standard treatment in STS, aurora kinases inhibitor can be considered as an enhancer of standard treatment or as an independent drug. Kinome analysis suggested its effect was linked to the inhibition of the MAP-kinase pathway, with differential drug resistance profiles depending on molecular characteristics of the tumor. Aurora Kinase inhibition by AMG 900 could be a promising therapy in STS. [ABSTRACT FROM AUTHOR]

Soft-tissue sarcomas (STS) are rare tumors whose oncogenesis remains unknown and for which no common therapeutic target has yet been identified. Analysis of 318 STS by CGH array evidenced a frequent deletion affecting the DMD gene (encoding dystrophin isoforms) in 16.5% of STS, including sarcomas with complex genomics, gastrointestinal tumors (GIST), and synovial sarcomas (SS). These deletions are significantly associated with metastatic progression, thus suggesting the role of DMD downregulation in the acquisition of aggressive phenotypes. We observed that targeted deletions of DMD were restricted to the 5' region of the gene, which is responsible for the transcription of Dp427. Analysis of STS tumors and cell lines by RNA sequencing revealed that only the Dp71 isoform was widely expressed. Dp427 depletion had no effect on cell growth or migration. However, Dp71 inhibition by shRNA dramatically reduced the cell proliferation and clonogenicity of three STS cell lines, likely by altering the cell cycle progression through the G2/M-phase. Our work demonstrates that DMD deletions are not restricted to myogenic tumors and could be used as a biomarker for metastatic evolution in STS. Dp71 seems to play an essential role in tumor growth, thus providing a potential target for future STS treatments. [ABSTRACT FROM AUTHOR]

Background Prognosis of metastatic outcome in soft tissue sarcomas is an important clinical challenge since these tumours can be very aggressive (up to 50% of recurring events). A gene expression signature, Complexity INdex in SARComas (CINSARC), has been identified as a better prognostic factor compared to the current international grading system defined by the Fédération Nationale des Centres de Lutte Contre le Cancer . Since CINSARC has been established on frozen tumours analysed by microarrays, we were interested in evaluating its prognostic capacity using next generation sequencing (NGS) on formalin-fixed, paraffin-embedded (FFPE) blocks to better fit laboratory practices. Methods Metastatic-free survivals (training/validation approach with independent datasets) and agreement values in classification groups were evaluated. Also, RNA degradation threshold has been established for FFPE blocks and differences in gene expression due to RNA degradation were measured. Results CINSARC remains a strong prognostic factor for metastatic outcome in both microarray and RNA-seq technologies ( P < 0.05), with similar risk-group classifications (77%). We defined quality threshold to process degraded RNA extracted from FFPE blocks and measured similar classifications with frozen tumours (88%). Conclusion These results demonstrate that CINSARC is a platform and material independent prognostic signature for metastatic outcome in various sarcomas. This result opens access to metastatic prognostication in sarcomas through NGS analysis on both frozen and FFPE tumours via the CINSARC signature. [ABSTRACT FROM AUTHOR]

Purpose Imatinib mesylate is the front-line targeted therapy for gastrointestinal stromal tumours (GISTs). Patient’s eligibility to adjuvant imatinib after primary tumour resection is currently based on histological and clinical risk assessment. While therapeutic options are clear for the very-low, low and high-risk subpopulations, no standard is actually available for the tumours classified as intermediate. Since we recently validated genomic index (GI), a measure of the level of genomic alterations, as a strong predictor of clinical outcome in GIST, we asked whether it could also represent a novel prognostic factor for the intermediate subgroup. Experimental design 82 intermediate risk patients were selected based on the Armed Forces Institute of Pathology (AFIP) classification for genomic profiling. Results Data revealed that even if studied samples generally harboured a combination of the typical genetic aberrations found in GIST, i.e. 1p, 14q 22q deletions and frequently lost CDKN2A locus on chromosome 9, they profoundly differed from each other on the total number of genomic changes and GI value. Kaplan–Meier analyses of metastatic-free survival unveiled that stratification of the tumours by the GI value at a cutoff of 10 separated the good from the poor prognosis patients, proven that metastatic-risk in GIST intermediate patients is strongly associated with high GI values and genome complexity. Conclusion GI is validated here as a robust marker to predict intermediate-GIST clinical outcome. Applicable in numerous Pathology Laboratories already using array comparative genomic hybridisation (CGH) with formalin-fixed paraffin-embedded (FFPE) samples, this assay presently stands as an efficient tool for the clinical management of intermediate GIST-patients. [ABSTRACT FROM AUTHOR]