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Paris Descartes University

GovernmentParis, France
About: Paris Descartes University is a government organization based out in Paris, France. It is known for research contribution in the topics: Population & Immune system. The organization has 20987 authors who have published 37456 publications receiving 1206222 citations. The organization is also known as: Université Paris V-Descartes & Université de Paris V.


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Journal ArticleDOI
Louis-Félix Nothias1, Louis-Félix Nothias2, Daniel Petras1, Daniel Petras2, Robin Schmid3, Kai Dührkop4, Johannes Rainer5, Abinesh Sarvepalli1, Abinesh Sarvepalli2, Ivan Protsyuk, Madeleine Ernst1, Madeleine Ernst2, Madeleine Ernst6, Hiroshi Tsugawa, Markus Fleischauer4, Fabian Aicheler7, Alexander A. Aksenov1, Alexander A. Aksenov2, Oliver Alka7, Pierre-Marie Allard8, Aiko Barsch9, Xavier Cachet10, Andrés Mauricio Caraballo-Rodríguez2, Andrés Mauricio Caraballo-Rodríguez1, Ricardo Silva11, Ricardo Silva1, Tam Dang12, Tam Dang1, Neha Garg13, Julia M. Gauglitz1, Julia M. Gauglitz2, Alexey Gurevich14, Giorgis Isaac15, Alan K. Jarmusch2, Alan K. Jarmusch1, Zdeněk Kameník16, Kyo Bin Kang1, Kyo Bin Kang2, Kyo Bin Kang17, Nikolas Kessler9, Irina Koester2, Irina Koester1, Ansgar Korf3, Audrey Le Gouellec18, Marcus Ludwig4, Christian Martin H, Laura-Isobel McCall19, Jonathan McSayles, Sven W. Meyer9, Hosein Mohimani20, Mustafa Morsy21, Oriane Moyne1, Oriane Moyne18, Steffen Neumann22, Heiko Neuweger9, Ngoc Hung Nguyen1, Ngoc Hung Nguyen2, Mélissa Nothias-Esposito2, Mélissa Nothias-Esposito1, Julien Paolini23, Vanessa V. Phelan2, Tomáš Pluskal24, Robert A. Quinn25, Simon Rogers26, Bindesh Shrestha15, Anupriya Tripathi2, Anupriya Tripathi1, Justin J. J. van der Hooft2, Justin J. J. van der Hooft1, Justin J. J. van der Hooft27, Fernando Vargas1, Fernando Vargas2, Kelly C. Weldon2, Kelly C. Weldon1, Michael Witting, Heejung Yang28, Zheng Zhang1, Zheng Zhang2, Florian Zubeil9, Oliver Kohlbacher, Sebastian Böcker4, Theodore Alexandrov2, Theodore Alexandrov1, Nuno Bandeira1, Nuno Bandeira2, Mingxun Wang2, Mingxun Wang1, Pieter C. Dorrestein 
TL;DR: Feature-based molecular networking (FBMN) as discussed by the authors is an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools.
Abstract: Molecular networking has become a key method to visualize and annotate the chemical space in non-targeted mass spectrometry data. We present feature-based molecular networking (FBMN) as an analysis method in the Global Natural Products Social Molecular Networking (GNPS) infrastructure that builds on chromatographic feature detection and alignment tools. FBMN enables quantitative analysis and resolution of isomers, including from ion mobility spectrometry.

497 citations

Journal ArticleDOI
TL;DR: This trial is the largest in recurrent ovarian cancer and has demonstrated superiority in PFS and better therapeutic index of CD over standard CP and better quality of life, and overall survival.
Abstract: Purpose This randomized, multicenter, phase III noninferiority trial was designed to test the efficacy and safety of the combination of pegylated liposomal doxorubicin (PLD) with carboplatin (CD) compared with standard carboplatin and paclitaxel (CP) in patients with platinum-sensitive relapsed/recurrent ovarian cancer (ROC). Patients and Methods Patients with histologically proven ovarian cancer with recurrence more than 6 months after first- or second-line platinum and taxane-based therapies were randomly assigned by stratified blocks to CD (carboplatin area under the curve [AUC] 5 plus PLD 30 mg/m 2 ) every 4 weeks or CP (carboplatin AUC 5 plus paclitaxel 175 mg/m 2 ) every 3 weeks for at least 6 cycles. Primary end point was progressionfree survival (PFS); secondary end points were toxicity, quality of life, and overall survival. Results Overall 976 patients were recruited. With median follow-up of 22 months, PFS for the CD arm was statistically superior to the CP arm (hazard ratio, 0.821; 95% CI, 0.72 to 0.94; P .005); median PFS was 11.3 versus 9.4 months, respectively. Although overall survival data are immature for final analysis, we report here a total of 334 deaths. Overall severe nonhematologic toxicity (36.8% v 28.4%; P .01) leading to early discontinuation (15% v 6%; P .001) occurred more frequently in the CP arm. More frequent grade 2 or greater alopecia (83.6% v 7%), hypersensitivity reactions (18.8% v 5.6%), and sensory neuropathy (26.9% v 4.9%) were observed in the CP arm; more hand-foot syndrome (grade 2 to 3, 12.0% v 2.2%), nausea (35.2% v 24.2%), and mucositis (grade 2-3, 13.9% v 7%) in the CD arm.

497 citations

Journal ArticleDOI
TL;DR: The genomic signature defined predicted BRCA1/2 inactivation in BLCs with 100% sensitivity and 90% specificity (97% accuracy) may ease the challenge of selecting patients for genetic testing or recruitment to clinical trials of novel emerging therapies that target DNA repair deficiencies in cancer.
Abstract: BRCA1 inactivation is a frequent event in basal-like breast carcinomas (BLC). However, BRCA1 can be inactivated by multiple mechanisms and determining its status is not a trivial issue. As an alternate approach, we profiled 65 BLC cases using single-nucleotide polymorphism arrays to define a signature of BRCA1-associated genomic instability. Large-scale state transitions (LST), defined as chromosomal break between adjacent regions of at least 10 Mb, were found to be a robust indicator of BRCA1 status in this setting. Two major ploidy-specific cutoffs in LST distributions were sufficient to distinguish highly rearranged BLCs with 85% of proven BRCA1-inactivated cases from less rearranged BLCs devoid of proven BRCA1-inactivated cases. The genomic signature we defined was validated in a second independent series of 55 primary BLC cases and 17 BLC-derived tumor cell lines. High numbers of LSTs resembling BRCA1-inactivated BLC were observed in 4 primary BLC cases and 2 BLC cell lines that harbored BRCA2 mutations. Overall, the genomic signature we defined predicted BRCA1/2 inactivation in BLCs with 100% sensitivity and 90% specificity (97% accuracy). This assay may ease the challenge of selecting patients for genetic testing or recruitment to clinical trials of novel emerging therapies that target DNA repair deficiencies in cancer.

496 citations

Journal ArticleDOI
TL;DR: RV dysfunction assessed by CT, echocardiography, or by cardiac biomarkers are all associated with an increased risk of mortality in patients with haemodynamically stable PE.
Abstract: Aims To determine the prognostic value of right ventricular (RV) dysfunction assessed by echocardiography or spiral computed tomography (CT), or by increased levels of cardiac biomarkers [troponin, brain natriuretic peptide (BNP) and pro-BNP] in patients with haemodynamically stable pulmonary embolism (PE). Methods and results We included all studies published between January 1985 and October 2007 estimating the relationship between echocardiography, CT or cardiac biomarkers and the risk of death in patients with haemodynamically stable PE. Twelve of 722 potentially relevant studies met inclusion criteria. The unadjusted risk ratio of RV dysfunction as assessed by echocardiography (five studies) or by CT (two studies) for predicting death was 2.4 [95% confidence interval (CI) 1.3–4.4]. The unadjusted risk ratio for predicting death was 9.5 (95% CI 3.2–28.6) for BNP (five studies), 5.7 (95% CI 2.2–15.1) for pro-BNP (two studies) and 8.3 (95% CI 3.6–19.3) for cardiac troponin (three studies). Threshold values differed substantially between studies for all markers. Conclusion RV dysfunction assessed by CT, echocardiography, or by cardiac biomarkers are all associated with an increased risk of mortality in patients with haemodynamically stable PE. These findings should be interpreted with caution because of the clinical and methodological diversity of studies.

495 citations

Journal ArticleDOI
24 Dec 2018
TL;DR: This paper conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings, and found that very little heterogeneity was attributable to the order in which the tasks were performed or whether the task were administered in lab versus online.
Abstract: We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance (p < .05), we found that 15 (54%) of the replications provided evidence of a statistically significant effect in the same direction as the original finding. With a strict significance criterion (p < .0001), 14 (50%) of the replications still provided such evidence, a reflection of the extremely high-powered design. Seven (25%) of the replications yielded effect sizes larger than the original ones, and 21 (75%) yielded effect sizes smaller than the original ones. The median comparable Cohen’s ds were 0.60 for the original findings and 0.15 for the replications. The effect sizes were small (< 0.20) in 16 of the replications (57%), and 9 effects (32%) were in the direction opposite the direction of the original effect. Across settings, the Q statistic indicated significant heterogeneity in 11 (39%) of the replication effects, and most of those were among the findings with the largest overall effect sizes; only 1 effect that was near zero in the aggregate showed significant heterogeneity according to this measure. Only 1 effect had a tau value greater than .20, an indication of moderate heterogeneity. Eight others had tau values near or slightly above .10, an indication of slight heterogeneity. Moderation tests indicated that very little heterogeneity was attributable to the order in which the tasks were performed or whether the tasks were administered in lab versus online. Exploratory comparisons revealed little heterogeneity between Western, educated, industrialized, rich, and democratic (WEIRD) cultures and less WEIRD cultures (i.e., cultures with relatively high and low WEIRDness scores, respectively). Cumulatively, variability in the observed effect sizes was attributable more to the effect being studied than to the sample or setting in which it was studied.

495 citations


Authors

Showing all 21023 results

NameH-indexPapersCitations
Guido Kroemer2361404246571
Cyrus Cooper2041869206782
Jean-Laurent Casanova14484276173
Alain Fischer14377081680
Maxime Dougados134105469979
Carlos López-Otín12649483933
Giuseppe Viale12374072799
Thierry Poynard11966864548
Lorenzo Galluzzi11847771436
Shahrokh F. Shariat118163758900
Richard E. Tremblay11668545844
Olivier Hermine111102643779
Yehezkel Ben-Ari11045944293
Loïc Guillevin10880051085
Gérard Socié10792044186
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20238
202279
20211,083
20201,994
20193,298
20183,323