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International audience; Glioblastoma (GBM) is the most frequent and aggressive primary brain tumor in adults. Recently, we demonstrated that plasma denaturation profiles of glioblastoma patients obtained us‐ ing Differential Scanning Fluorimetry can be automatically distinguished from healthy controls with the help of Artificial Intelligence (AI). Here, we used a set of machine‐learning algorithms to automatically classify plasma denaturation profiles of glioblastoma patients according to their EGFR status. We found that Adaboost AI is able to discriminate EGFR alterations in GBM with an 81.5% accuracy. Our study shows that the use of these plasma denaturation profiles could answer the unmet neuro‐oncology need for diagnostic predictive biomarker in combination with brain MRI and clinical data, in order to allow for a rapid orientation of patients for a definitive pathological diagnosis and then treatment. We complete this study by showing that discriminating another mu‐ tation, MGMT, seems harder, and that post‐surgery monitoring using our approach is not conclu‐ sive in the 48 h that follow the surgery.

We aimed to identify genomic drivers of glioblastoma inevitable recurrence.Ten pairs of initial and recurrent frozen IDHwt glioblastoma samples were screened by CGH Array. Next Generation Sequencing (NGS) was then performed on an enriched cohort of 19 pairs. MPDZ alterations were analyzed using TCGA dataset.Nineteen IDHwt glioblastoma patients were included. Median age was 54.5 y/o (37.2-72.8). Using CGH array, unsupervised analysis aggregated the cohort by paired initial and recurrent tumors. Only 44% of CGH Array alterations were conserved at recurrence (amplifications: 55%; deletions: 30%). Two regions (including FPR1, 2 and 3) were lost at relapse: 19q13.33 and 19q13.41. MPDZ and 25 other genes were altered in ≥20% of recurrent tumors. NGS analysis of 29 candidate genes revealed 4 genes with pathogenic mutations: (FPR2, REL, TYRP1 and MPDZ). MPDZ (Multiple PDZ Domain Crumbs Cell Polarity Complex Component) was altered by two pathogenic mutations occurring at relapse. Using TCGA dataset we observed that a lower MPDZ mRNA expression was associated with IDHwt (p 0.001) and grade IV (p 0.001) gliomas. Finally, a low mRNA MPDZ expression was significantly correlated to poor overall survival in both IDHwt and IDH mutated gliomas, reinforcing the potential pejorative impact of MPDZ loss.Our results suggest that MPDZ is more frequently altered at relapse after radio-chemotherapy in glioblastoma IDHwt patients, suggesting that MPDZ impairment could contribute to the systematic resistance of these tumors opening new therapeutic perspectives.

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.

BACKGROUND GB are highly aggressive tumors which systematically relapse. Our objective was to identify disease progression mechanisms and genomic drivers of GB treatment resistance. MATERIAL AND METHODS Ten paired frozen tumors from initial and recurrent surgery after RTCT were screened by CGH Array. Next, NGS of the selected genes was performed on 19 paired tumors (38 samples). Molecular alterations were correlated with patient data. TCGA was used to characterize the molecular profile of MPDZ. RESULTS Nineteen IDHwt GB patients with a median age of 54.5 years (37.2–72.8) were included. Using CGH array, unsupervised analysis clustered the whole samples by paired of initial and recurrent tumors. However only 44% of CGH Array alterations were shared between initial and recurrent tumors (amplifications: 55%; deletions: 30%). The new alterations detected at relapse were amplifications in 25% and deletions in 23% of tumors. Two regions corresponding to 171 genes were lost at relapse (p=0.03): 19q13.33 and 19q13.41. Using DAVID genome, 3/171 genes (related to neutrophil chemotactic factors) were identified: FPR1, FPR2, FPR3. Moreover, 24 genes were lost (including MPDZ) and 2 genes were gained in 20% of recurrent tumors. Totally, 29 genes were analyzed by NGS and 4 genes showed pathogenic mutations shared by initial and recurrent tumors: FPR2, REL, TYRP1 and MPDZ. Only MPDZ showed, at relapse, an increasing rate of mutated variants and a new mutation affecting the splicing site. These alterations were independent from classical prognostic factors (age, sexe, karnofsky performans status, MMS and MGMT status) and from patient survivals. To explore MPDZ expression, we used TCGA initial dataset and observed that a lower RNA expression of MPDZ was associated with IDHwt (p CONCLUSION Our results suggest that MPDZ is frequently altered at initial diagnosis with increased alterations in recurrent IDHwt GB after RTCT, suggesting that MPDZ impairment could contribute to the resistance/relapse mechanisms. Further investigations are needed to validate these results. Our results suggest that MPDZ is frequently altered at initial diagnosis with increased alterations in recurrent IDHwt GB after RTCT, suggesting that MPDZ impairment could contribute to the resistance/relapse mechanisms. Further investigations are needed to validate these results.

e13535 Background: GB are highly aggressive tumors which systematically relapse. Our objective was to identify disease progression mechanisms and genomic drivers of GB treatment resistance. Methods: Ten paired frozen tumors from initial and recurrent surgery after RTCT were screened by CGH Array. Next, NGS of the selected genes was performed on 19 paired tumors (38 samples). Molecular alterations were correlated with patient data. TCGA was used to characterize the molecular profile of MPDZ. Results: Nineteen IDHwt GB patients with a median age of 54.5 years (37.2-72.8) were included. Using CGH array, unsupervised analysis clustered the whole samples by paired of initial and recurrent tumors. However only 44% of CGH Array alterations were shared between initial and recurrent tumors (amplifications: 55%; deletions: 30%). The new alterations detected at relapse were amplifications in 25% and deletions in 23% of tumors. Two regions corresponding to 171 genes were lost at relapse (p = 0.03): 19q13.33 and 19q13.41. Using DAVID genome, 3/171 genes (related to neutrophil chemotactic factors) were identified: FPR1, FPR2, FPR3. Moreover, 24 genes were lost (including MPDZ) and 2 genes were gained in 20% of recurrent tumors. Totally, 29 genes were analyzed by NGS and 4 genes showed pathogenic mutations shared by initial and recurrent tumors: FPR2, REL, TYRP1 and MPDZ. Only MPDZ showed, at relapse, an increasing rate of mutated variants and a new mutation affecting the splicing site. These alterations were independent from classical prognostic factors (age, sexe, karnofsky performans status, MMS and MGMT status) and from patient survivals. To explore MPDZ expression, we used TCGA initial dataset and observed that a lower RNA expression of MPDZ was associated with IDHwt ( p< 0.001) and grade IV ( p< 0.001) gliomas, reinforcing the potential pejorative impact of MPDZ loss. Conclusions: Our results suggest that MPDZ is frequently altered at initial diagnosis with increased alterations in recurrent IDHwt GB after RTCT, suggesting that MPDZ impairment could contribute to the resistance/relapse mechanisms. Further investigations are needed to validate these results.

Glioblastoma is the most frequent primary brain tumor in adults. Because of molecular and cellular heterogeneity, high proliferation rate and significant invasive ability, prognosis of patients is poor. Recent therapeutic advances increased median overall survival but tumor recurrence remains inevitable. In this context, we used a high throughput screening approach to bring out novel compounds with anti-proliferative and anti-migratory properties for glioblastoma treatment. Screening of the Prestwick chemical library® of 1120 molecules identified proscillaridin A, a cardiac glycoside inhibitor of the Na(+)/K(+) ATPase pump, with most significant effects on glioblastoma cell lines. In vitro effects of proscillaridin A were evaluated on GBM6 and GBM9 stem-like cell lines and on U87-MG and U251-MG cell lines. We showed that proscillaridin A displayed cytotoxic properties, triggered cell death, induced G2/M phase blockade in all the glioblastoma cell lines and impaired GBM stem self-renewal capacity even at low concentrations. Heterotopic and orthotopic xenotransplantations were used to confirm in vivo anticancer effects of proscillaridin A that both controls xenograft growth and improves mice survival. Altogether, results suggest that proscillaridin A is a promising candidate as cancer therapies in glioblastoma. This sustains previous reports showing that cardiac glycosides act as anticancer drugs in other cancers.

Identification of new drugs and predicting drug response are major challenges in oncology, especially for brain tumors, because total surgical resection is difficult and radiation therapy or chemotherapy is often ineffective. With the aim of developing a culture system close to in vivo conditions for testing new drugs, we characterized an ex vivo three-dimensional culture system based on a hyaluronic acid-rich hydrogel and compared it with classical two-dimensional culture conditions. U87-MG glioblastoma cells and seven primary cell cultures of human glioblastomas were subjected to radiation therapy and chemotherapy drugs. It appears that 3D hydrogel preserves the original cancer growth behavior and enables assessment of the sensitivity of malignant gliomas to radiation and drugs with regard to inter-tumoral heterogeneity of therapeutic response. It could be used for preclinical assessment of new therapies.

Whole-body imaging of experimental tumor growth is more feasible within the near-infrared (NIR) optical window because of the highest transparency of mammalian tissues within this wavelength spectrum, mainly due to improved tissue penetration and lower autofluorescence. We took advantage from the recently cloned infrared fluorescent protein (iRFP) together with a human immunodeficiency virus (HIV)-based lentiviral vector to produce virally transduced tumor cells that permanently express this protein. We then noninvasively explored metastatic spread as well as primary tumor growth in deep organs and behind bone barriers. Intrabone tumor growth was investigated through intracranial and intratibial injections of glioblastoma and osteosarcoma cells, respectively, and metastasis was assessed by tail vein injection of melanoma cells. We found that the emitted fluorescence is captured as sharp images regardless of the organ or tissue considered. Furthermore, by overlaying fluorescence spots with the white light, it was possible to afford whole-body images yet never observed before. This approach allowed us to continuously monitor the growth and dissemination of tumor cells with a small number of animals, minimal animal handling, and without the need for any additive. This iRFP-based system provides high-resolution readouts of tumorigenesis that should greatly facilitate preclinical trials with anticancer therapeutic molecules.

Glioblastomas (GBMs) are the most aggressive primary brain tumors in adult and remain a therapeutic challenge. Targeting key apoptosis regulators with the ultimate aim to restore apoptosis in tumor cells could be an interesting therapeutic strategy. The inhibitors of apoptosis proteins (IAPs) are regulators of cell death and represent attractive targets, especially because they can be antagonized by SMAC mimetics. In this study, we first investigated the expression of cIAP1, cIAP2, XIAP and ML-IAP in human GBM samples and in four different cell lines. We showed that all GBM samples and GBM cell lines expressed all these IAPs, although the expression of each IAP varied from one case to another. We then showed that high level of ML-IAP predicted worse progression-free survival and overall survival in both univariate and multivariate analyses in two independent cohorts of 58 and 43 primary human GBMs. We then used GDC-0152, a SMAC mimetic that antagonizes these IAPs and confirmed that GDC-0152 treatment in vitro decreased IAPs in all the cell lines studied. It affected cell line viability and triggered apoptosis, although the effect was higher in U87MG and GL261 than in GBM6 and GBM9 cell lines. In vivo, GDC-0152 effect on U87MG orthotopic xenografts was dose dependent; it postponed tumor formation and slowed down tumor growth, significantly improving survival of GBM-bearing mice. This study revealed for the first time that ML-IAP protein expression correlates with GBM patient survival and that its antagonist GDC-0152 improves outcome in xenografted mouse.

The physiologic function of the secondary lymphoid organs to recruit large numbers of naïve lymphocytes increases the probability that antigens encounter their rare, sometimes unique, specific T lymphocytes and initiate a specific immune response. In peripheral lymph nodes (LNs), this recruitment is a multistep process, initiated predominantly within the high endothelial venules (HEVs), beginning with rolling and chemokine-dependent firm adhesion of the lymphocytes on the venular endothelium surface. We report here that, in C57BL/6 mice, the recruitment of naïve lymphocytes is impaired in LNs draining a B16 melanoma tumor. Intravital microscopy analysis of the tumor-draining LNs revealed that this effect is associated with an important defect in lymphocyte adhesion in the HEVs and a progressive decrease in the expression of the LN chemokine CCL21. In parallel with these effects, the tumor up-regulated, essentially through a P-selectin–dependent mechanism, the rolling and sticking of circulating polymorphonuclear cells within the LN low-order venules where few rolling and sticking events are usually observed. These effects of the tumor were independent of the presence of metastasis into the LN and occurred as long as the tumor developed. Together, these results indicate that the tumor proximity disturbs the LN physiology by modifying the molecular, spatial, and cellular rules that usually control leukocyte-endothelium interactions into the peripheral LNs. In addition, they emphasize a new role for the low-order venules of the peripheral LNs, which compared with the HEVs, seem to be the preferential port of entry for cells linked to inflammatory processes. (Cancer Res 2005; 65(24): 11639-48)

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To validate the ChickRH6 whole-genome radiation hybrid (WGRH) panel, we constructed a map of chicken Chromosome 7 based on 19 microsatellite markers from the genetic map and 76 ESTs (expressed sequence tags), whose efficient targeted development was made possible by using the ICCARE software. This high-density radiation hybrid (RH) map of a chicken macrochromosome gives us indications on characteristics of ChickRH6. The potential resolution of the panel is 325 kb and the practical resolution of our framework map is 1.3 Mb. Based on these results, a complete framework map of the chicken genome would comprise 1000 markers. The marker order is in good agreement with the genetic map and comparison with the human and mouse sequence maps revealed a number of internal rearrangements.

Background The standard therapy regimen of conventional osteosarcoma includes neoadjuvant chemotherapy followed by surgical resection and postoperative chemotherapy. The percentage of necrotic tissue following induction chemotherapy is assessed by using the Huvos grading system, which classifies patients as “poor responders” (PR) and “good responders” (GR). The aim of this study was to identify molecular markers expressed differentially between good and poor responders to neoadjuvant chemotherapy in order to predict the response to chemotherapy in conventional osteosarcomas before beginning treatment. Methods Suppression Substractive Hybridization (SSH) was performed by using cDNA from frozen biopsy specimens. Expression of selected relevant genes identified by SSH was validated by using QRT-PCR. Immunohistochemistry (IHC) on tissue microarray (TMA) sections of 52 biopsies was performed to investigate protein expression in an independent cohort. Results ERK1 and STAT3 mRNA level were significantly different between PR and GR in an independent cohort. Phosphorylated STAT3 and ERK1 expressions by IHC on TMA were correlated with poor response to chemotherapy. Conclusions Our results suggest that ERK1 and STAT3 expression are good predictive markers for chemotherapy response and that inhibitors might be used in combination with common chemotherapeutic drugs in conventional osteosarcomas.