9 research outputs found

    Lymphoma and Myeloma Cell Resistance to Cytotoxic Agents and Ionizing Radiations Is Not Affected by Exposure to Anti–IL-6 Antibody

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    Background: Production of high levels of IL-6 is often correlated with resistance to cytotoxics or ionizing radiations, in cancer cell lines as in various cancer patients. We investigated whether monoclonal antibodies directed against IL-6 may enable to reverse resistance of cancer cell lines. Methodology/Principal Findings: We exposed ten haematological cancer cells from lymphoma, myeloma, or leukemia origins to cytotoxics or ionizing radiations and assessed the effects of anti–IL-6 antibody addition on cell proliferation, apoptosis, or IL-6 signaling. A strong correlation between IL-6 secretion, measured by ELISA, and resistance to doxorubicin as ionizing radiations was observed in the multiple myeloma U266 and the Burkitt’s lymphoma Daudi and Namalwa cells. Although an anti–IL-6 antibody combined to both treatments efficiently blocked IL-6 signaling in U266 cells, expressing the IL-6 receptor gp80, it did not increase treatment-induced anti-proliferative and pro-apoptotic effects on these cells, as well as on Daudi and Namalwa cells. This lack of effect could be related to diverse factors: 1) a higher release of the soluble form of IL-6 receptor gp80 in response to doxorubicin and irradiation from all cell lines, 2) an impaired level of the IL-6 pathway inhibitor SOCS3 in Daudi cells, and 3) an increased release of IL-10 and TNFa, two cytokines involved in cell radio- and chemoresistance. Conclusions/Significance: These data support the fact that IL-6 is not the preponderant actor of cell resistance to cytotoxic

    Truncated IL-6 , a natural IL-6 antagonist ? : selection of an expression system and establishment of in vitro proof of concept on haematological malignancies and on renal adenocarcinoma cells

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    L'interleukine-6 (IL-6) exerce des propriétés biologiques multiples telles que l'activation des cellules immunocompétentes, l'activation de la réponse inflammatoire et l'hématopoïÚse. Produite également par les cellules tumorales, l'IL-6 impacte la prolifération, la différenciation et la survie de ces derniÚres. L'IL-6 représente donc depuis plusieurs années une cible thérapeutique pertinente. Dans la premiÚre partie de ce travail, nous avons exploré une nouvelle piste potentielle pour bloquer l'activité biologique de l'IL-6, en utilisant un antagoniste naturel que notre équipe a identifié dans plusieurs lignées d'adénocarcinomes du rein, à savoir la molécule tronquée tIL-6. Suite à l'évaluation comparée de deux systÚmes d'expression (E. coli versus CHO), nous avons retenu les cellules CHO comme source de production de fractions enrichies en tIL-6 par chromatographie de gel d'exclusion. Disposant d'un panel d'adénocarcinomes de rein (ACHN, Caki1, CLB CHA, CLB VER) et d'une lignée érythroleucémique (TF1), l'activité fonctionnelle de tIL-6 in vitro a été étudiée sur (1) la signalisation IL-6 induite, (2) la prolifération cellulaire IL-6 induite, la survie cellulaire et (4) la modulation de l'expression de protéines relevantes de l'apoptose. La molécule tIL-6 bloque la phosphorylation de la tyrosine Tyr705 de STAT3, qui est un des éléments clés de la voie de signalisation de l'IL-6. Nous rapportons également une autre observation nouvelle indiquant que tIL-6 exerce un effet pro-apoptotique sur certaines lignées RCC. Dans la seconde partie de notre étude, l'impact d'un Ac Mo anti IL-6 dans la réversion de la résistance aux cytotoxiques ou à la radiothérapie a été étudié. Nos résultats démontrent que la voie IL-6 ne constituerait pas un mécanisme majeur de résistanceInterleukin-6 (IL-6) plays numerous physiological roles including haematopoiesis, immune response and inflammation, but also plays a role in modulating cell growth, differentiation and survival of tumors cells. The first goal of the present study was to investigate on the potential role of the truncated protein IL-6 (tIL-6) encoded by the spliced IL-6 mRNA discovered in renal carcinoma cells (RCC). The R&D program was designed based on an industrial approach, aiming at reaching the decision stage to enter or not into preclinical development. Firstly two different expression systems were investigated (E. coli versus CHO cell line). The mammalian expression system was selected as the protein source since a recombinant glycosylated tIL-6 with a molecular weight similar to the predicted natural molecule was obtained from enriched fractions following size exclusion chromatography. Secondly by using a cell line panel including renal carcinoma cells (ACHN, Caki-1, CLB CHA, CLB-VER ) and an erythroleucemic cell line (TF1), in vitro tIL-6 functional activity were analyzed on (1) IL-6 induced signaling, (2) IL-6 induced cell proliferation, (3) on cell survival and also (4) on expression of specific set of proteins involved in apoptosis pathways. The truncated IL-6 was found inhibit IL-6 induced STAT3 Tyr705 and to induce apoptosis in some RCC cell lines which could be depending on IL-6 expression. Understanding more precisely the role of natural truncated IL-6 and its impact in cell tumour growth control will be a major issue in the development of innovative approach to antagonize directly or not IL6. The second goal of the present study was to investigate on reversing resistance of cancer cell lines to cytotoxics or ionizing radiations through the use of a monoclonal antibody directed against IL-6. Our data support the fact that IL-6 is not the preponderant actor of cell resistance to cytotoxics and ionizing radiations, which seems to be regulated by a complex network of protein

    Lymphoma and myeloma cell resistance to cytotoxic agents and ionizing radiations is not affected by exposure to anti-IL-6 antibody: IL-6 and resistance to cytotoxics

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    International audienceBackground: Production of high levels of IL-6 is often correlated with resistance to cytotoxics or ionizing radiations, in cancer cell lines as in various cancer patients. We investigated whether monoclonal antibodies directed against IL-6 may enable to reverse resistance of cancer cell lines. Methodology/Principal Findings: We exposed ten haematological cancer cells from lymphoma, myeloma or leukemia origins to cytotoxics or ionizing radiations and assessed the effects of anti-IL-6 antibody addition on cell proliferation, apoptosis or IL-6 signaling. A strong correlation between IL-6 secretion, measured by ELISA, and resistance to doxorubicin as ionizing radiations was observed in the multiple myeloma U266 and the Burkitt's lymphoma Daudi and Namalwa cells. Although an anti-IL-6 antibody combined to both treatments efficiently blocked IL-6 signaling in U266 cells, expressing the IL-6 receptor gp80, it did not increase treatment-induced anti-proliferative and pro-apoptotic effects on these cells, as well as on Daudi and Namalwa cells. This lack of effect could be related to diverse factors: 1) a higher release of the soluble form of IL-6 receptor gp80 in response to doxorubicin and irradiation from all cell lines, 2) an impaired level of the IL-6 pathway inhibitor SOCS3 in Daudi cells, and 3) an increased release of IL-10 and TNFα, two cytokines involved in cell radio- and chemoresistance. Conclusions/significance: These data support the fact that IL-6 is not the preponderant actor of cell resistance to cytotoxics and ionizing radiations, which seems to be regulated by a complex network of proteins

    Detection of ISUP ≄2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to the PI-RADS V.2.1 score (CHANGE study)

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    International audienceIntroduction Prostate multiparametric MRI (mpMRI) has shown good sensitivity in detecting cancers with an International Society of Urological Pathology (ISUP) grade of ≄2. However, it lacks specificity, and its inter-reader reproducibility remains moderate. Biomarkers, such as the Prostate Health Index (PHI), may help select patients for prostate biopsy. Computer-aided diagnosis/detection (CAD) systems may also improve mpMRI interpretation. Different prototypes of CAD systems are currently developed under the Recherche Hospitalo-Universitaire en SantĂ© / Personalized Focused Ultrasound Surgery of Localized Prostate Cancer (RHU PERFUSE) research programme, tackling challenging issues such as robustness across imaging protocols and magnetic resonance (MR) vendors, and ability to characterise cancer aggressiveness. The study primary objective is to evaluate the non-inferiority of the area under the receiver operating characteristic curve of the final CAD system as compared with the Prostate Imaging-Reporting and Data System V.2.1 (PI-RADS V.2.1) in predicting the presence of ISUP ≄2 prostate cancer in patients undergoing prostate biopsy. Methods This prospective, multicentre, non-inferiority trial will include 420 men with suspected prostate cancer, a prostate-specific antigen level of ≀30 ng/mL and a clinical stage ≀T2 c. Included men will undergo prostate mpMRI that will be interpreted using the PI-RADS V.2.1 score. Then, they will undergo systematic and targeted biopsy. PHI will be assessed before biopsy. At the end of patient inclusion, MR images will be assessed by the final version of the CAD system developed under the RHU PERFUSE programme. Key secondary outcomes include the prediction of ISUP grade ≄2 prostate cancer during a 3-year follow-up, and the number of biopsy procedures saved and ISUP grade ≄2 cancers missed by several diagnostic pathways combining PHI and MRI findings. Ethics and dissemination Ethical approval was obtained from the ComitĂ© de Protection des Personnes Nord Ouest III (ID-RCB: 2020-A02785-34). After publication of the results, access to MR images will be possible for testing other CAD systems. Trial registration number NCT04732156

    Performance of a Region of Interest–based Algorithm in Diagnosing International Society of Urological Pathology Grade Group ≄2 Prostate Cancer on the MRI-FIRST Database—CAD-FIRST Study

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    International audienceBackground and objective: Prostate multiparametric magnetic resonance imaging (MRI) shows high sensitivity for International Society of Urological Pathology grade group (GG) ≄2 cancers. Many artificial intelligence algorithms have shown promising results in diagnosing clinically significant prostate cancer on MRI. To assess a region-of-interest-based machine-learning algorithm aimed at characterising GG ≄2 prostate cancer on multiparametric MRI.Methods: The lesions targeted at biopsy in the MRI-FIRST dataset were retrospectively delineated and assessed using a previously developed algorithm. The Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) score assigned prospectively before biopsy and the algorithm score calculated retrospectively in the regions of interest were compared for diagnosing GG ≄2 cancer, using the areas under the curve (AUCs), and sensitivities and specificities calculated with predefined thresholds (PIRADSv2 scores ≄3 and ≄4; algorithm scores yielding 90% sensitivity in the training database). Ten predefined biopsy strategies were assessed retrospectively.Key findings and limitations: After excluding 19 patients, we analysed 232 patients imaged on 16 different scanners; 85 had GG ≄2 cancer at biopsy. At patient level, AUCs of the algorithm and PI-RADSv2 were 77% (95% confidence interval [CI]: 70-82) and 80% (CI: 74-85; p = 0.36), respectively. The algorithm's sensitivity and specificity were 86% (CI: 76-93) and 65% (CI: 54-73), respectively. PI-RADSv2 sensitivities and specificities were 95% (CI: 89-100) and 38% (CI: 26-47), and 89% (CI: 79-96) and 47% (CI: 35-57) for thresholds of ≄3 and ≄4, respectively. Using the PI-RADSv2 score to trigger a biopsy would have avoided 26-34% of biopsies while missing 5-11% of GG ≄2 cancers. Combining prostate-specific antigen density, the PI-RADSv2 and algorithm's scores would have avoided 44-47% of biopsies while missing 6-9% of GG ≄2 cancers. Limitations include the retrospective nature of the study and a lack of PI-RADS version 2.1 assessment.Conclusions and clinical implications: The algorithm provided robust results in the multicentre multiscanner MRI-FIRST database and could help select patients for biopsy.Patient summary: An artificial intelligence-based algorithm aimed at diagnosing aggressive cancers on prostate magnetic resonance imaging showed results similar to expert human assessment in a prospectively acquired multicentre test database
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