Search

PDF file - 60K, Biological pathways overrepresented in "REARRANGED" LMS and LMS of the extremities

Schematics of predicted TRIO fusions proteins.

PDF file - 23K, Kaplan-Meier curves of metastasis-free survival (A) and overall survival (B) for the overall population

Purpose: Data about the prognostic factors of soft-tissue leiomyosarcomas and their correlation with molecular profile are limited.Experimental Design: From 1990 to 2010, 586 adult patients with a primary soft-tissue leiomyosarcoma were included in the French Sarcoma Group (GSF) database after surgery of the primary tumor. Multivariate analyses were conducted by Cox regression model in a backward stepwise procedure. Genetic profiling was conducted for 73 cases.Results: Median age was 59 years (range, 21–98 years). The median follow-up of patients alive was 46 months. The 5-year metastasis-free survival (MFS) rate was 51% (95% location and grade > I were independent adverse prognostic factors for MFS). The 5-year overall survival (OS) rate was 63% [95% confidence interval (CI), 59–67]. On multivariate analysis, age ≥ 60 years old, tumor size > 5 cm, deep location, and grade > I were independent adverse prognostic factors for OS. Molecular profiling identified specific clusters with activation of different biologic pathways: retroperitoneal leiomyosarcomas are characterized by overexpression of genes involved in muscle differentiation and nonretroperitoneal leiomyosarcomas characterized by overexpression of genes mainly involved in extracellular matrix, wounding, and adhesion pathways. The CINSARC signature but not comparative genomic hybridization (CGH) profiling was predictive of outcome.Conclusion: Soft-tissue leiomyosarcomas represent a heterogeneous group of tumors with at least two categories, retroperitoneal and extremities leiomyosarcomas, having specific clinical outcome and molecular features. Future clinical trials should consider this heterogeneity for a better stratification of patients. Clin Cancer Res; 19(5); 1190–6. ©2013 AACR.

Purpose: The importance of KIT and PDGFRA mutations in the oncogenesis of gastrointestinal stromal tumors (GIST) is well established, but the genetic basis of GIST metastasis is poorly understood. We recently published a 67 gene expression prognostic signature related to genome complexity (CINSARC for Complexity INdex in SARComas) and asked whether it could predict outcome in GISTs.Experimental Design: We carried out genome and expression profiling on 67 primary untreated GISTs.Results: We show and validate here that it can predict metastasis in a new data set of 67 primary untreated GISTs. The gene whose expression was most strongly associated with metastasis was AURKA, but the AURKA locus was not amplified. Instead, we identified deletion of the p16 (CDKN2A) and retinoblastoma (RB1) genes as likely causal events leading to increased AURKA and CINSARC gene expression, to chromosome rearrangement, and ultimately to metastasis. On the basis of these findings, we established a Genomic Index that integrates the number and type of DNA copy number alterations. This index is a strong prognostic factor in GISTs. We show that CINSARC class, AURKA expression, and Genomic Index all outperform the Armed Forces Institute of Pathology (AFIP) grading system in determining the prognosis of patients with GISTs. Interestingly, these signatures can identify poor prognosis patients in the group classified as intermediate-risk by the AFIP classification.Conclusions: We propose that a high Genomic Index determined by comparative genomic hybridization from formalin-fixed, paraffin-embedded samples could be used to identify AFIP intermediate-risk patients who would benefit from imatinib therapy. Clin Cancer Res; 18(3); 826–38. ©2011 AACR.

PDF file - 66K, Significant Prognostic Factors for Metastasis-free Survival (MFS) and Overall survival (OS) (univariate analysis)

PDF file - 55K, Kaplan-Meier curves of metastasis-free survival according to tumor site (A), tumor size (B), tumor location (C) and tumor grade (D)

PDF file - 34K

The Complexity Index in Sarcomas (CINSARC) signature is a transcriptomic marker that identifies high-risk soft-tissue sarcomas and is associated with high metastatic potential. During the last decade, CINSARC has been successfully developed and validated and is currently being assessed in two prospective phase III clinical trials for stratification of therapy. Although the link between CINSARC expression and tumor aggressiveness is well established, questions remain about how CINSARC genes are regulated. In this study, we leveraged a The Cancer Genome Atlas multiomics study on sarcomas with complex genetics to appraise the association between CINSARC profile, genomic features, and two potential regulation mechanisms, DNA methylation and miRNA expression. CINSARC expression was associated with an increase of ploidy, intratumor heterogeneity, copy-number alteration, altered expression of 37 miRNAs, and a decrease of DNA methylation. These genetic changes are not independent, but rather act together to promote or repress CINSARC expression. These findings depict new insights into CINSARC regulation.Significance:These findings demonstrate that CINSARC is associated with a variety of genomic aberrations that contribute to higher risk for metastasis and may serve as a prognostic factor in sarcomas and beyond.

Table. Clinico-morphologic and genomic data.

PDF file - 61K, Clinical characteristics of the molecular cohort (N=73)

PDF file - 60K, Biological pathways dysregulated in metastatic LMS

Purpose: Despite various differences, nontranslocation-related sarcomas (e.g., comprising undifferentiated pleomorphic sarcoma, leiomyosarcoma, myxofibrosarcoma) are unified by their complex genetics. Extensive analysis of the tumor genome using molecular cytogenetic approaches showed many chromosomal gains, losses, and translocations per cell. Genomic quantitative alterations and expression variations have been extensively studied by adapted high-throughput approaches, yet translocations still remained unscreened. We therefore analyzed 117 nontranslocation-related sarcomas by RNA sequencing to identify fusion genes.Experimental design: We performed RNA sequencing and applied a bioinformatics pipeline dedicated to the detection of fusion transcripts. RT-PCR and Sanger sequencing were then applied to validate predictions and to search for recurrence and specificity.Results: Among the 6,772 predicted fusion genes, 420 were in-frame. One recurrent rearrangement, consistently involving TRIO with various partners, was identified in 5.1% of cases. TRIO translocations are either intrachromosomal with TERT or interchromosomal with LINC01504 or ZNF558. Our results suggest that all translocations led to a truncated TRIO protein either directly or indirectly by alternative splicing. TRIO rearrangement is associated with a modified transcriptomic program to immunity/inflammation, proliferation and migration, and an increase in proliferation.Conclusions: TRIO fusions have been identified in four different sarcoma histotypes, likely meaning that they are not related to a primary oncogenic event but rather to a secondary one implicated in tumor progression. Moreover, they appear to be specific to nontranslocation-related sarcomas, as no such rearrangement was identified in sarcomas with simple genetics. More cases could lead to a significant association of these fusions to a specific clinical behavior. Clin Cancer Res; 23(3); 857–67. ©2016 AACR.

Purpose:Uterine leiomyosarcoma, which accounts for 7% of all soft-tissue sarcomas and 1%–3% of all uterine malignancies, is an aggressive tumor responsible for a significant proportion of uterine cancer–related deaths. While Federation Internationale des Gynaecologistes et Obstetristes (FIGO) stage is the most important prognostic factor, metastatic and relapse rates at stage I exceed 50% so it is currently impossible to predict the clinical outcome of stage I leiomyosarcomas. In 2010, our team published a transcriptomic signature composed of 67 genes related to chromosome biogenesis, mitosis control, and chromosome segregation. It has demonstrated its prognostic value in many cancer types and was recently successfully applied to formalin-fixed, paraffin-embedded sarcomas by NanoCind on NanoString technology, making another step forward toward its use in routine practice.Experimental Design:Sixty uterine leiomyosarcomas at any stage, including 40 localized in the uterus (stage I), were analyzed with the NanoCind (CINSARC with NanoString) signature. Its prognostic value was evaluated for overall survival and relapse-free survival and compared in multivariate analysis with other prognostic markers like FIGO staging and genomic index.Results:The NanoCind signature was able to split the heterogeneous group of uterine leiomyosarcomas of any stage including stage I into two distinct groups with different relapse-free survival and overall survival. These results were validated on an independent cohort of uterine leiomyosarcomas in The Cancer Genome Atlas consortium.Conclusions:The NanoCind signature is a powerful prognosticator that outperforms FIGO staging and the genomic index. The CINSARC signature is platform independent and “ready to use” and should now be used for randomization in future therapeutic trials.

Supplementary Table 1: RT-PCR primers used for fusion transcripts detection. Supplementary Table 2: Primers used for fusion transcript quantification. Supplementary Table 3: shRNA sequences.Supplementary Table 4: Sarcomas cohort analysed in aCGH (n=24).Supplementary Table 5: 69 differentially overexpressed genes in six fused TRIO samples versus 111 non-fused TRIO samples. Supplementary Table 6: 354 differentially underexpressed genes in six fused TRIO samples versus 111 non-fused TRIO samples.

PDF file - 646K

Supplementary figures 1-3 and tables 1-5. Supplementary figure 1. Survival analysis of the 77 cases using the FNCLCC grading system (grade 1 and 2 versus grade 3). Supplementary figure 2. WGD refers to whole genome doubling; CNA refers to copy-number alteration; ITH refers to intra-tumour heterogeneity. Supplementary figure 3. WGD refers to whole genome doubling; CNA refers to copy-number alteration; Meth refers to methylation; ITH refers to intra-tumour heterogeneity. Supplementary table 1. Clinical information for the 77 cases. Supplementary table 2. Genomic coordinates of the 13 differentially (adjusted P < 0.05 and absolute M-value difference > 1) methylated probes with distances from nearest CpG islands and transcription start site. Supplementary table 3. Enrichment for CINSARC genes in top anti-correlated genes to each miRNA of interest. Supplementary table 4. Top 20 Gene Ontologies (GO) enriched in genes having validated interactions with miRNA. Supplementary table 5. Cancer Gene Census information for genes significantly anti-correlated with miRNAs of interest.

PDF file - 52K, Kaplan-Meier curves of overall survival according to age (A), tumor size (B), tumor location (C) and tumor grade (D)

Supplementary Figure 1: Identification of FARSA-SYCE2 and GSE1-RP11-680G10.1 read-throughs in sarcoma CL1 and normal tissue. Supplementary Figure 2: aCGH (SNP-array) profile of CL1 which present a genomic rearrangement of TRIO and TERT genes. Supplementary Figure 3: Expression percentage of the two TRIO-TERT isoforms in three cases. Supplementary Figure 4: Predicted acceptor splicing regions in intron 2 and 3 of LINC01504. Supplementary Figure 5: Transcriptomic profile clustering of the 117 non-translocation-related sarcomas. Supplementary Figure 6: Volcano plot of the 117 sarcomas with six fused TRIO cases versus 111 non-fused TRIO cases. Supplementary Figure 7: Exonic expression of fused TRIO fused and non-fused TRIO cases.Supplementary Figure 8: Enrichment plot for significant Hallmarks in six fused TRIO samples included in the MSig5.0 database according to GSEA. Supplementary Figure 9: Enrichment plot for significant Hallmarks in 111 non-fused TRIO samples included in the MSig5.0 database according to GSEA. Supplementary Figure 10: ALT mechanism status determined by PML/TERF2 immunofluorescence analysis.

The outcome of stage II-III colorectal cancer (CRC) is highly variable and therapeutic choice is currently based on TNM staging with a few additional biomarkers. However, studies show that some stage III patients have a better prognosis than some stage II patients. A promising consensus molecular (CMS) classification with prognostic relevance has been developed, but it is not used in daily practice. Our team developed CINSARC, a 67-gene expression prognostic signature, whose prognostic value has been demonstrated in many cancer types. It is applicable to formalin-fixed, paraffin-embedded (FFPE) blocks using NanoString® technology. We investigated whether it could predict outcome in stage II-III CRC. We established the CINSARC classification on the TCGA retrospective cohort comprising 297 stage II-III CRC patients using RNA sequencing and on a second independent cohort comprising 169 cases using NanoString® technology. We compared its recurrence-free and overall survival prognostic value with TNM staging and CMS classification. In the TCGA cohort, we showed that CINSARC significantly splits the population of stage II-III CRC into two groups with different progression-free interval (P = 1.68 × 10

Cell fusion in tumor progression mostly refers to the merging of a cancer cell with a cell that has migration and immune escape capabilities such as macrophages. Here we show that spontaneous hybrids made from the fusion of transformed mesenchymal cells with partners from the same lineage undergo nonrecurrent large-scale genomic rearrangements, leading to the creation of highly aneuploid cells with novel phenotypic traits, including metastatic spreading capabilities. Moreover, in contrast to their parents, hybrids were the only cells able to recapitulate in vivo all features of human pleomorphic sarcomas, a rare and genetically complex mesenchymal tumor. Hybrid tumors not only displayed specific mesenchymal markers, but also combined a complex genetic profile with a highly metastatic behavior, like their human counterparts. Finally, we provide evidence that patient-derived pleomorphic sarcoma cells are inclined to spontaneous cell fusion. The resulting hybrids also gain in aggressiveness, exhibiting superior growth capacity in mouse models. Altogether, these results indicate that cell fusion has the potential to promote cancer progression by increasing growth and/or metastatic capacities, regardless of the nature of the companion cell. Moreover, such events likely occur upon sarcoma development, paving the way for better understanding of the biology, and aggressiveness of these tumors.

In leiomyosarcoma (LMS), a very aggressive disease, a relatively transcriptionally uniform subgroup of well-differentiated tumors has been described and is associated with poor survival. The question raised how differentiation and tumor progression, two apparently antagonist processes, coexist and allow tumor malignancy. We first identified the most transcriptionally homogeneous LMS subgroup in three independent cohorts, which we named ‘hLMS’. The integration of multi-omics data and functional analysis suggests that hLMS originate from vascular smooth muscle cells and show that hLMS transcriptional program reflects both modulations of smooth muscle contraction activity controlled by MYOCD/SRF regulatory network and activation of the cell cycle activity controlled by E2F/RB1 pathway. We propose that the phenotypic plasticity of vascular smooth muscle cells coupled with MYOCD/SRF pathway amplification, essential for hLMS survival, concomitant with PTEN absence and RB1 alteration, could explain how hLMS balance this uncommon interplay between differentiation and aggressiveness.

CINSARC (Complexity INdex in SARComas) is a prognostic signature for soft tissue sarcoma that determines the risk for recurrence and may serve to guide the decision for adjuvant chemotherapy. The aim of this study was to compare the CINSARC signature of pre- and posttreatment biopsies of sarcoma patients treated within a phase I trial evaluating preoperative sunitinib and irradiation.We retrieved 14 pairs of formalin-fixed paraffin-embedded blocks from pretreatment biopsies and posttreatment resection specimens and performed expression profiling of the 67 CINSARC signature genes.In 5/14 patients, both probes were unsuitable for expression analysis because there was no (vital) tissue left in biopsies or resection specimens. Comparing the CINSARC risk classification before and after treatment in the remaining patients, 2/9 shifted from a high- to a low-risk classification for metastatic disease after preoperative treatment with radiation therapy plus sunitinib and 7/9 pairs of pre- and posttreatment biopsies revealed identical results.Concurrent radiation therapy and sunitinib leads to diverging results of prognostic gene array testing in a relevant proportion of sarcoma patients. These changes may reflect tumor heterogeneity, local treatment effects, or prognostic changes of the disease. Caution is advised in the selection of samples and interpretation of test results.HINTERGRUND: CINSARC (Complexity INdex in SARComas) ist eine prognostische Signatur für Weichgewebesarkome, die zur Abschätzung des Metastasierungsrisikos eingesetzt wird und deren Ergebnis die Entscheidung über eine adjuvante Chemotherapie unterstützen kann. Ziel dieser Studie war es, zu untersuchen, inwieweit eine präoperative Therapie mit Bestrahlung und Sunitinib Einfluss auf das CINSARC-Ergebnis hat.In 14 korrespondierenden Paaren von formalinfixierten und paraffineingebetteten Tumorproben (prätherapeutische Biopsie und posttherapeutisches Resektat) erfolgte die Expressionsanalyse der 67 CINSARC-Signaturgene.Bei 5/14 Probenpaaren war ein Vergleich der CINSARC-Signatur nicht möglich, da nach diagnostischer Aufarbeitung bzw. durch Therapieansprechen kein (vitales) Gewebe in den Biopsien oder Resektaten vorhanden war. In 2/9 Patienten verschob sich das Untersuchungsergebnis von einem hohen zu einem niedrigen Metastasierungsrisiko. In 7/9 Probenpaaren blieb die Risikoeinschätzung identisch.Die präoperative Therapie mit Bestrahlung und Sunitinib kann zu abweichenden Ergebnissen prognostischer Gensignaturen führen. Diese Unterschiede können auf Therapieeffekte oder Tumorheterogenität zurückgeführt werden und sollte bei der Probenauswahl und Testinterpretation von prognostischen Signaturen berücksichtigt werden.

Oncogenesis is considered to result from chromosomal instability, in addition to oncogene and tumor-suppressor alterations. Intermediate to aneuploidy and chromosomal instability, genome doubling is a frequent event in tumor development but the mechanisms driving tetraploidization and its impact remain unexplored. Cell fusion, one of the pathways to tetraploidy, is a physiological process involved in mesenchymal cell differentiation. Besides simple genome doubling, cell fusion results in the merging of two different genomes that can be destabilized upon proliferation. By testing whether cell fusion is involved in mesenchymal oncogenesis, we provide evidence that it induces genomic instability and mediates tumor initiation. After a latency period, the tumor emerges with the cells most suited for its development. Furthermore, hybrid tumor genomes were stabilized after this selection process and were very close to those of human pleomorphic mesenchymal tumors. Thus genome restructuring triggered by cell fusion may account for the chromosomal instability involved in oncogenesis.

Background Cell-to-cell fusion is emerging as a key element of the metastatic process in various cancer types. We recently showed that hybrids made from the spontaneous merging of pre-malignant (IMR90 E6E7, i.e. E6E7) and malignant (IMR90 E6E7 RST, i.e. RST) mesenchymal cells recapitulate the main features of human undifferentiated pleomorphic sarcoma (UPS), with a highly rearranged genome and increased spreading capacities. To better characterize the intrinsic properties of these hybrids, we investigated here their metabolic energy profile compared to their parents. Results Our results unveiled that hybrids harbored a Warburg-like metabolism, like their RST counterparts. However, hybrids displayed a much greater metabolic activity, enhancing glycolysis to proliferate. Interestingly, modifying the metabolic environmental conditions through the use of 5-aminoimidazole-4-carbox-amide-1-β-D-ribofuranoside (AICAR), an activator of the 5′-adenosine monophosphate (AMP)-activated protein kinase (AMPK), specifically reduced the growth of hybrids, and also abrogated the invasive capacity of hybrids displaying enhanced glycolysis. Furthermore, AICAR efficiently blocked the tumoral features related to the aggressiveness of human UPS cell lines. Conclusion Altogether, our findings strongly suggest that hybrids rely on higher energy flux to proliferate and that a drug altering this metabolic equilibrium could impair their survival and be potentially considered as a novel therapeutic strategy.

Leiomyosarcoma (LMS) is an aggressive smooth muscle cancer with few therapeutic options. LMSs show a high level of genomic instability (GI) and the mechanisms underlying their oncogenic processes are poorly understood. While the level of GI influences treatment efficacy and resistance, an accurate measure of it is lacking. Current measures of GI are based on counts of specific structural variation (SV) and mutational signatures. Here, we present a holistic approach to measuring GI based on the quantification of the steady-state equilibrium between DNA damage and repair as assessed by the residual breakpoints (BP) remaining after repair, irrespective of SV type. We use the notion of Hscore, a BP “hotspotness” magnitude scale, to measure the propensity of genomic structural or functional DNA elements to break more than expected by chance. We then derived new measures of transcription- and replication-associated GI that we call iTRAC (Transcription-Associated Chromosomal instability index (iTRAC) and iRACIN (Replication-Associated Chromosomal INstability index). We show that iTRAC and iRACIN are predictive of metastatic relapse in LMS and that they may be combined to form a new classifier called MAGIC (Mixed transcription-and replication-Associated Genomic Instability Classifier). MAGIC outperforms the gold standards FNCLCC and CINSARC in stratifying metastatic risk in LMS. Furthermore, iTRAC stratifies chemotherapeutic response in LMS. We finally show that this approach is applicable to other cancers.

Leiomyosarcoma is a very aggressive tumor with poor prognosis since half of the patients will develop metastasis. Today, neither chemotherapy nor targeted or immune therapies have demonstrated efficacy. These tumors show highly rearranged genomes and appear to form a heterogenous group. Understanding their complex oncogenesis either as a single disease or by subtypes has already been challenged but the underlying mechanisms driving leiomyosarcoma development which could lead to a patient care improvement remain to be deciphered. We identified a group of tightly clustered leiomyosarcomas due to their gene expression homogeneity, named "hLMS". We derived a transcriptional signature able to consistently stratify patients from two independent cohorts. In all cohorts, hLMS were preferentially carried by women, located in the internal trunk, highly differentiated, and similarly altered at the genomic level. Through the multi-omics integrative bioinformatic analysis, we show that hLMS originate from vascular smooth muscle cells presenting both contractile and synthetic characteristics, while the other group could derive from fibroblasts. We identified the MYOCD overexpression as a hLMS-specific driver candidate and functionally showed that the MYOCD/SRF axis is only essential for hLMS survival. Identification of hLMS could become standard clinical practice, leading to the development of specific effective treatments with MYOCD/SRF inhibitors.

Uterine leiomyoma and leiomyosarcoma are located at the ends of the spectrum of smooth muscle lesions. Leiomyosarcoma belongs to the complex genomic sarcomas characterized by complex karyotypes. In contrast, leiomyoma, has a low level of chromosomal complexity. The analysis of genomic profiles of uterine smooth muscle tumors shows that genomic complexity, which is an expression of chromosomal instability, correlates with the metastatic potential and malignity of tumors: the more genetically complex a smooth muscle tumor is, the more malignant is its progression. In uterine tumors with uncertain malignant potential, the assessment of genomic index by CGH array, that is, counting the genomic complexity of a tumor, allows tumors with a risk of recurrence such as leiomyosarcomas to be distinguished from benign tumors like leiomyomas. The prognosis of leiomyosarcoma is poor and the most powerful prognostic factor so far is stage, as the histologic grade is not informative. In the quest to find efficient molecular prognostic factors, the transcriptomic signature CINSARC Nanocind, a mirror of chromosomic complexity and instability, outperforms stage, in both overall and recurrence-free survival. Genomic index and the CINSARC signature will contribute to improving diagnoses, therapeutic strategies, and randomization in future clinical trials. The biological understanding of the links between the CINSARC signature and metastatic mechanisms may lead to the development of new drugs. Furthermore, ctDNA is a promising new technique to detect residual disease and early recurrence.

BACKGROUND: Leiomyosarcoma (LMS) is the most common soft tissue and uterine sarcoma, but no standard therapy is available for recurrent or metastatic LMS. TP53, p16/RB1, and PI3K/mTOR pathway dysregulations are recurrent events, and some LMS express estrogen receptor (ER) and/or progesterone receptor (PR). To characterize relationships between these pathway perturbations, the authors evaluated protein expression in soft tissue and uterine nonprimary leiomyosarcoma (np-LMS), including local recurrences and distant metastases. METHODS: TP53, RB1, p16, and PTEN expression aberrations were determined by immunohistochemistry (IHC) in tissue microarrays (TMAs) from 227 np-LMS and a comparison group of 262 primary leiomyosarcomas (p-LMS). Thirty-five of the np-LMS had a matched p-LMS specimen in the TMAs. Correlative studies included differentiation scoring, ER and PR IHC, and CDKN2A/p16 fluorescence in situ hybridization. RESULTS: Dysregulation of TP53, p16/RB1, and PTEN was demonstrated in 90%, 95%, and 41% of np-LMS, respectively. PTEN inactivation was more common in soft tissue np-LMS than uterine np-LMS (55% vs 31%; P = .0005). Moderate-strong ER expression was more common in uterine np-LMS than soft tissue np-LMS (50% vs 7%; P < .0001). Co-inactivation of TP53 and RB1 was found in 81% of np-LMS and was common in both soft tissue and uterine np-LMS (90% and 74%, respectively). RB1, p16, and PTEN aberrations were nearly always conserved in p-LMS and np-LMS from the same patients. CONCLUSIONS: These studies show that nearly all np-LMS have TP53 and/or RB1 aberrations. Therefore, therapies targeting cell cycle and DNA damage checkpoint vulnerabilities should be prioritized for evaluations in LMS.

Background While the anti-PDGFRA antibody olaratumab failed to confirm an impact on survival in unselected advanced soft tissue sarcoma (STS) patients, the level of expression and the prognosis of platelet-derived growth factor (PDGF) receptors and ligands in STS remain unclear. Patients and methods We analyzed PDGF ligands and receptors' expression levels in a series of 255 patients with different histologies of STS [gastrointestinal stromal tumor (GIST), myxoid liposarcoma (MLPS), sarcoma with complex genomics, synovial sarcoma (SyS)] with Agilent single-color micro-arrays. We explored expression levels as prognostic values in univariate and multivariate analysis using R software (version 3.4.2). Results Complex patterns of correlation of expression between ligands and receptors were observed for each histotype. PDGFA levels were highest in SyS and lowest in MLPS (P < 4 × 10−9), PDGFB and C levels were lower in GIST (P < 2 × 10−15 and P < 3 × 10−9) while PDGFD expression was similar across histological subtypes. PDGF receptor (PDGFR) A expression was lowest in MLPS (P < 0.002), whereas PDGFRB and L expressions were lowest in GIST and SyS (P < 0.0004). Interestingly, high PDGFA expression levels were associated with higher risk of metastasis (P = 0.006), whereas PDGFD levels above average were associated with a reduced risk of metastasis (P = 0.01) in univariate and multivariate analysis. Conclusions The expression of PDGF ligands and receptors varies across sarcoma histological subtypes. PDGFA and D expression levels independently and inversely correlate with the risk of metastatic relapse., Highlights • The expression of PDGF ligands and receptors substantially varies across sarcoma histological subtypes. • PDGFA and D expression levels independently and inversely correlate with the risk of metastatic relapse. • The differential expression of ligands might be used as biomarker of efficacy for PDGFRα antibodies in STS.

International audience; Well-differentiated and dedifferentiated liposarcomas (LPSs) are characterized by a systematic amplification of the MDM2 oncogene, which encodes a key negative regulator of the p53 pathway. The molecular mechanisms underlying MDM2 overexpression while sparing wild-type p53 in LPS remain poorly understood. Here, we show that the p53-independent metabolic functions of chromatin-bound MDM2 are exacerbated in LPS and mediate an addiction to serine metabolism that sustains nucleotide synthesis and tumor growth. Treatment of LPS cells with Nutlin-3A, a pharmacological inhibitor of the MDM2-p53 interaction, stabilized p53 but unexpectedly enhanced MDM2-mediated control of serine metabolism by increasing its recruitment to chromatin, likely explaining the poor clinical efficacy of this class of MDM2 inhibitors. In contrast, genetic or pharmacological inhibition of chromatin-bound MDM2 by SP141, a distinct MDM2 inhibitor triggering its degradation, or interfering with de novo serine synthesis, impaired LPS growth both in vitro and in clinically relevant patient-derived xenograft models. Our data indicate that targeting MDM2 functions in serine metabolism represents a potential therapeutic strategy for LPS.

International audience; Desmoid tumors (TDs) are derived from mesenchymal stem cells and their pathogenesis is strongly linked to the Wingless/Wnt cascade where the deregulation of β-catenin plays a major role. A mutation of the CTNNB1 encoding β-catenin is found in the majority of sporadic TD cases and constitutional mutations of APC have been described in heritable forms in patients with familial adenomatous polyposis (FAP). Estrogens could also play a role in pathogenesis and this is the basis for the use of hormone therapy. Other signaling pathways have been involved in the development of TDs such as Notch, Hedgehog, JAK/STAT, PI3 Kinase/AKT and mTOR. Metalloproteases are expressed in TDs and play a role in invasiveness. TGF-ß, as a growth factor, stimulates the transcriptional activity of β-catenin. Future studies will need to focus on better describing and understanding the immune environment of TDs. One of the major difficulties for the experimental study of TDs is the virtual absence of a preclinical model, either in vitro or in vivo. This is partly why the interactions between the different signaling pathways presented here and their consequences for the development of TDs are still poorly understood.

The Complexity Index in Sarcomas (CINSARC) signature is a transcriptomic marker that identifies high-risk soft-tissue sarcomas and is associated with high metastatic potential. During the last decade, CINSARC has been successfully developed and validated and is currently being assessed in two prospective phase III clinical trials for stratification of therapy. Although the link between CINSARC expression and tumor aggressiveness is well established, questions remain about how CINSARC genes are regulated. In this study, we leveraged a The Cancer Genome Atlas multiomics study on sarcomas with complex genetics to appraise the association between CINSARC profile, genomic features, and two potential regulation mechanisms, DNA methylation and miRNA expression. CINSARC expression was associated with an increase of ploidy, intratumor heterogeneity, copy-number alteration, altered expression of 37 miRNAs, and a decrease of DNA methylation. These genetic changes are not independent, but rather act together to promote or repress CINSARC expression. These findings depict new insights into CINSARC regulation. Significance: These findings demonstrate that CINSARC is associated with a variety of genomic aberrations that contribute to higher risk for metastasis and may serve as a prognostic factor in sarcomas and beyond.

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%&ndash, 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.

Prognostication is a key issue for sarcoma patients' care as it triggers the therapeutic approach including chemotherapy, which is still not standard for localized patients. Current prognostic evaluation, based on the FNCLCC grading system, has recently been improved by the CINSARC signature outperforming histology-based grading system by identifying high-risk patients in every grade, even in those considered as low. CINSARC is an expression-based signature related to mitosis and chromosome integrity with prognostic value in a wide range of cancers additional to sarcoma. First developed with frozen material, CINSARC is now coupled with NanoString technology allowing evaluation from FFPE blocks used in clinical practice. Consequently, CINSARC is currently evaluated in clinical trials with a dual objective of demonstrating the benefit of chemotherapy in sarcoma patients and testing its response prediction. Considering its overarching value in oncology, its development is welcome in any cancers where the prognostication needs to be improved.

A genomic index (GI) tool using array comparative genomic hybridization (aCGH) on tumor cells has emerged as independent prognostic factor associated with the risk of metastatic relapse in synovial sarcoma (SS). The aim was to assess GI in pediatric patients with SS, to determine its value as a prognostic factor. All pediatric/adolescent/young adults’ (

RNA polymerase (Pol) III transcribes small untranslated RNAs that are essential for cellular homeostasis and growth. Its activity is regulated by inactivation of tumor suppressor proteins and overexpression of the oncogene c-MYC, but the concerted action of these tumor-promoting factors on Pol III transcription has not yet been assessed. In order to comprehensively analyse the regulation of Pol III transcription during tumorigenesis we employ a model system that relies on the expression of five genetic elements to achieve cellular transformation. Expression of these elements in six distinct transformation intermediate cell lines leads to the inactivation of TP53, RB1, and protein phosphatase 2A, as well as the activation of RAS and the protection of telomeres by TERT, thereby conducting to full tumoral transformation of IMR90 fibroblasts. Transformation is accompanied by moderately enhanced levels of a subset of Pol III-transcribed RNAs (7SK; MRP; H1). In addition, mRNA and/or protein levels of several Pol III subunits and transcription factors are upregulated, including increased protein levels of TFIIIB and TFIIIC subunits, of SNAPC1 and of Pol III subunits. Strikingly, the expression of POLR3G and of SNAPC1 is strongly enhanced during transformation in this cellular transformation model. Collectively, our data indicate that increased expression of several components of the Pol III transcription system accompanied by a 2-fold increase in steady state levels of a subset of Pol III RNAs is sufficient for sustaining tumor formation.

Background: Leiomyosarcoma (LMS) are 15% of adult sarcomas and remain seldom curable in metastatic phase. The TAM receptors and their ligands are overexpressed or activated in multiple malignancies, including LMS. Methods: The TAM receptor and ligand expression was evaluated in LMS cell lines and 358 sarcoma samples by either gene expression or immunohistochemistry. TYRO3 and AXL were knocked down. Crizotinib and foretinib were investigated in vitro. Results: High expression of TYRO3 and AXL was detected in LMS cell lines. TYRO3 or AXL gene knockdown reduced cell proliferation/colony formation. Crizotinib and foretinib decreased TYRO3 and AXL phosphorylation, apoptosis, G2/arrest and reduced colony formation. Immunohistochemistry performed in 107 sarcomas showed higher expression of TYRO3 and GAS6 in LMS vs other sarcomas and nuclear TYRO3 only in LMS. Microarray gene expression performed in 251 sarcomas revealed significantly higher expression of TYRO3 and GAS6 in LMS than other sarcomas. Leiomyosarcoma patients with high expression of GAS6 or PROS1 present a significantly worse PFS. Conclusions: Leiomyosarcoma patients, especially those whom develop metastasis, express higher levels of TYRO3 and GAS6. Crizotinib and foretinib showed effective antitumour activity in LMS through TYRO3 and AXL deactivation indicating that clinical trials using TYRO3 and AXL inhibitors are warranted in advanced LMS.

International audience; Purpose of reviewTo summarize the current knowledge about the biology and clinical management of adult desmoid tumors.Recent findingsIn the past decade, we have learned that desmoid tumors are driven by alterations of the Wnt/APC/-catenin pathway, sporadic desmoid tumors are associated with somatic mutations of CTNNB1, and germline mutations of APC and somatic mutations of CTNNB1 are probably mutually exclusive. One-third of desmoid tumors are misdiagnosed; a second pathological opinion is therefore of major importance for desmoid tumor. Surgery is no longer regarded as the cornerstone of desmoid tumors; several retrospective studies have demonstrated the safety of a wait and see' policy in sporadic abdominal wall desmoid tumor. Desmoid tumors is no longer regarded as an absolute contraindication for pregnancy. At least two new investigational drugs targeting the Wnt/APC/-catenin pathway are currently being developed.SummaryThe management of desmoid tumors requires multidisciplinary expertise by an experienced team. We must fully understand the physiopathology of the disease (factors influencing the natural history of the disease) and learn how to avoid desmoid tumors occurrence in patients with APC germline mutations, identify reliable prognostic/predictive factors and better assess the efficacy of systemic treatment.