Travailler l'organisation spatiale par des manipulations

peer reviewedCet article propose quelques séquences destinées à l’enseignement maternel, axées sur l’organisation spatiale et la géométrie. Le premier thème aborde, par des activités de codage et décodage, des questions de topologie comme l’intérieur et l’extérieur, les itinéraires, les notions au-dessus et en dessous. Par un travail sur des assemblages de cartes et des empreintes, le second thème amène les enfants à repérer des symétries dans des figures et à reconnaître, assembler et comparer des formes géométriques simples. Parallèlement à la description des activités, nous nous attacherons à mettre en évidence l’aspect mathématique des concepts abordés.Maths et Manips : favoriser l'apprentissage des mathématiques par des manipulation

Des Math et manips autour des grandeurs

Publié partiellement en 2011 dans la revue Losanges, cet article, actualisé par les auteures pour Au fil des maths, présente des activités destinées à des élèves d’école primaire en Belgique (de 6 à 12 ans) pour favoriser l’apprentissage des grandeurs par des manipulations

Des puzzles en cycle 1

peer reviewedPublié dans la revue Losanges, cet article propose des Math & Manips autour de puzzles de formes géométriques, à partir de la Moyenne Section. Une utilisation en élémentaire est aussi envisageable, notamment avec des élèves en difficulté avec la notion d’aire. À vous de jouer !Maths et Manips : favoriser l'apprentissage des mathématiques par des manipulation

Dual anti-idiotypic purification of a novel, native-format biparatopic anti-MET antibody with improved in vitro and in vivo efficacy

Bispecific antibodies are of great interest due to their ability to simultaneously bind and engage different antigens or epitopes. Nevertheless, it remains a challenge to assemble, produce and/or purify them. Here we present an innovative dual anti-idiotypic purification process, which provides pure bispecific antibodies with native immunoglobulin format. Using this approach, a biparatopic IgG1 antibody targeting two distinct, HGF-competing, non-overlapping epitopes on the extracellular region of the MET receptor, was purified with camelid single-domain antibody fragments that bind specifically to the correct heavy chain/light chain pairings of each arm. The purity and functionality of the anti-MET biparatopic antibody was then confirmed by mass spectrometry and binding experiments, demonstrating its ability to simultaneously target the two epitopes recognized by the parental monoclonal antibodies. The improved MET-inhibitory activity of the biparatopic antibody compared to the parental monoclonal antibodies, was finally corroborated in cell-based assays and more importantly in a tumor xenograft mouse model. In conclusion, this approach is fast and specific, broadly applicable and results in the isolation of a pure, novel and native-format anti-MET biparatopic antibody that shows superior biological activity over the parental monospecific antibodies both in vitro and in vivo

High weekly integral dose and larger fraction size increase risk of fatigue and worsening of functional outcomes following radiotherapy for localized prostate cancer

IntroductionWe hypothesized that increasing the pelvic integral dose (ID) and a higher dose per fraction correlate with worsening fatigue and functional outcomes in localized prostate cancer (PCa) patients treated with external beam radiotherapy (EBRT). MethodsThe study design was a retrospective analysis of two prospective observational cohorts, REQUITE (development, n=543) and DUE-01 (validation, n=228). Data were available for comorbidities, medication, androgen deprivation therapy, previous surgeries, smoking, age, and body mass index. The ID was calculated as the product of the mean body dose and body volume. The weekly ID accounted for differences in fractionation. The worsening (end of radiotherapy versus baseline) of European Organisation for Research and Treatment of Cancer EORTC) Quality of Life Questionnaire (QLQ)-C30 scores in physical/role/social functioning and fatigue symptom scales were evaluated, and two outcome measures were defined as worsening in >= 2 (WS2) or >= 3 (WS3) scales, respectively. The weekly ID and clinical risk factors were tested in multivariable logistic regression analysis. ResultsIn REQUITE, WS2 was seen in 28% and WS3 in 16% of patients. The median weekly ID was 13.1 L center dot Gy/week [interquartile (IQ) range 10.2-19.3]. The weekly ID, diabetes, the use of intensity-modulated radiotherapy, and the dose per fraction were significantly associated with WS2 [AUC (area under the receiver operating characteristics curve) =0.59; 95% CI 0.55-0.63] and WS3 (AUC=0.60; 95% CI 0.55-0.64). The prevalence of WS2 (15.3%) and WS3 (6.1%) was lower in DUE-01, but the median weekly ID was higher (15.8 L center dot Gy/week; IQ range 13.2-19.3). The model for WS2 was validated with reduced discrimination (AUC=0.52 95% CI 0.47-0.61), The AUC for WS3 was 0.58, ConclusionIncreasing the weekly ID and the dose per fraction lead to the worsening of fatigue and functional outcomes in patients with localized PCa treated with EBRT

A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort.

Background: REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) is an international prospective cohort study. The purpose of this project was to analyse a cohort of patients recruited into REQUITE using a deep learning algorithm to identify patient-specific features associated with the development of toxicity, and test the approach by attempting to validate previously published genetic risk factors. Methods: The study involved REQUITE prostate cancer patients treated with external beam radiotherapy who had complete 2-year follow-up. We used five separate late toxicity endpoints: ≥grade 1 late rectal bleeding, ≥grade 2 urinary frequency, ≥grade 1 haematuria, ≥ grade 2 nocturia, ≥ grade 1 decreased urinary stream. Forty-three single nucleotide polymorphisms (SNPs) already reported in the literature to be associated with the toxicity endpoints were included in the analysis. No SNP had been studied before in the REQUITE cohort. Deep Sparse AutoEncoders (DSAE) were trained to recognize features (SNPs) identifying patients with no toxicity and tested on a different independent mixed population including patients without and with toxicity. Results: One thousand, four hundred and one patients were included, and toxicity rates were: rectal bleeding 11.7%, urinary frequency 4%, haematuria 5.5%, nocturia 7.8%, decreased urinary stream 17.1%. Twenty-four of the 43 SNPs that were associated with the toxicity endpoints were validated as identifying patients with toxicity. Twenty of the 24 SNPs were associated with the same toxicity endpoint as reported in the literature: 9 SNPs for urinary symptoms and 11 SNPs for overall toxicity. The other 4 SNPs were associated with a different endpoint. Conclusion: Deep learning algorithms can validate SNPs associated with toxicity after radiotherapy for prostate cancer. The method should be studied further to identify polygenic SNP risk signatures for radiotherapy toxicity. The signatures could then be included in integrated normal tissue complication probability models and tested for their ability to personalize radiotherapy treatment planning

Apprentissage de la proportionnalité par la confrontation à la non-proportionnalité via des manipulations

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