Proof of concept and development of a couple-based machine learning model to stratify infertile patients with idiopathic infertility

International audienceWe aimed to develop and evaluate a machine learning model that can stratify infertile/fertile couples on the basis of their bioclinical signature helping the management of couples with unexplained infertility. Fertile and infertile couples were recruited in the ALIFERT cross-sectional case–control multicentric study between September 2009 and December 2013 (NCT01093378). The study group consisted of 97 infertile couples presenting a primary idiopathic infertility (> 12 months) from 4 French infertility centers compared with 100 fertile couples (with a spontaneously conceived child (< 2 years of age) and with time to pregnancy < 12 months) recruited from the healthy population of the areas around the infertility centers. The study group is comprised of 2 independent sets: a development set (n = 136 from 3 centers) serving to train the model and a test set (n = 61 from 1 center) used to provide an unbiased validation of the model. Our results have shown that: (i) a couple-modeling approach was more discriminant than models in which men’s and women’s parameters are considered separately; (ii) the most discriminating variables were anthropometric, or related to the metabolic and oxidative status; (iii) a refined model capable to stratify fertile vs. infertile couples with accuracy 73.8% was proposed after the variables selection (from 80 to 13). These influential factors (anthropometric, antioxidative, and metabolic signatures) are all modifiable by the couple lifestyle. The model proposed takes place in the management of couples with idiopathic infertility, for whom the decision-making tools are scarce. Prospective interventional studies are now needed to validate the model clinical use

Early PSA level decline is an independent predictor of biochemical and clinical control for salvage postprostatectomy radiotherapy

International audienceBACKGROUND: To improve the early detection of responders to salvage external beam radiotherapy (RT) after radical prostatectomy (RP). METHODS: Between 2002 and 2007, in a single institution, 136 consecutive patients received salvage RT to a dose of 66 Gy without androgen-deprivation therapy after RP for a rising prostate-specific antigen (PSA) level. PSA measurements were systematically performed before RT (PSART), at the fifth week of RT (PSA5), and in the follow-up at least twice a year (every 6 mo). The PSA level decline during RT was expressed as PSA ratio (PSA5/PSART). Two different definitions of biochemical failure after salvage RT were considered: PSA level\textgreater0.4 ng/ml and PSA\textgreaterPSA nadir post-RT +0.4 ng/ml. Statistical analyses included univariate and multivariate Cox regression models. RESULTS: The median follow-up was 60 months. The 5-year freedom from biochemical and clinical failure rates were 57% (95% CI: 48%-66%) and 92% (95% CI: 87%-97%), respectively. The mean PSA5 was 0.61 ng/ml (range: 0-7) and the mean PSA ratio was 0.67 (0-1.7). A PSA ratio\textless1 was a significant prognostic factor in multivariate analysis for both definitions of biochemical failure (P = 0.01 for both) and for clinical failure (P = 0.005). CONCLUSIONS: For patients undergoing salvage RT after RP for a rising PSA level, the absence of PSA level decline during RT is predictive of biochemical and clinical failure and may be used to rapidly identify poor responder

Systemic Therapy in Advanced Pleomorphic Liposarcoma: a Comprehensive Review

International audienceThe therapeutic approach of pleomorphic liposarcoma (PLPS), a rare high-grade subgroup of soft tissue sarcoma, is commonly extrapolated from the management of other LPS subtypes. Only published retrospective data on PLPS currently serve as a guide for oncologists without clear recommendations or specific guidelines. In the advanced setting, specific systemic therapy such as eribulin and trabectedin showed promising activity in comparison to conventional therapy (doxorubicin- and gemcitabine-based protocols), which currently remains the current standard of care at initial stages of the disease. The better understanding of soft tissue sarcoma (STS) pathophysiology and disease course has led to the development of adapted clinical trial designs for rare STS histotypes with specific treatment approach

Facteurs de radiorésistance des cellules souches cancéreuses et perspectives de radiosensibilisation : l'exemple du glioblastome

International audienceLes cellules souches cancéreuses sont l'objet d'un intérêt croissant. En particulier, plusieurs données suggèrent leur implication dans les mécanismes de radiorésistance tumorale, pouvant ainsi expliquer les échappements thérapeutiques après radiothérapie. De par son pronostic péjoratif et son taux élevé de rechutes après irradiation, le glioblastome constitue un modèle très souvent étudié dans la recherche de nouveaux radiosensiblisants. Il existe plusieurs données précliniques suggérant que les cellules souches cancéreuses pourraient constituer une cible thérapeutique potentielle dans la perspective d'améliorer l'efficacité biologique de l'irradiation. À travers l'exemple du glioblastome, nous effectuons une revue des principales voies de signalisation intervenant dans les mécanismes de radiorésistance des cellules souches cancéreuses et pour lesquelles un ciblage pharmacologique laisse entrevoir des perspectives de radiosensibilisation

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

International audienceSignificance There is growing evidence that preexisting autoantibodies neutralizing type I interferons (IFNs) are strong determinants of life-threatening COVID-19 pneumonia. It is important to estimate their quantitative impact on COVID-19 mortality upon SARS-CoV-2 infection, by age and sex, as both the prevalence of these autoantibodies and the risk of COVID-19 death increase with age and are higher in men. Using an unvaccinated sample of 1,261 deceased patients and 34,159 individuals from the general population, we found that autoantibodies against type I IFNs strongly increased the SARS-CoV-2 infection fatality rate at all ages, in both men and women. Autoantibodies against type I IFNs are strong and common predictors of life-threatening COVID-19. Testing for these autoantibodies should be considered in the general population

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

International audienceSignificance There is growing evidence that preexisting autoantibodies neutralizing type I interferons (IFNs) are strong determinants of life-threatening COVID-19 pneumonia. It is important to estimate their quantitative impact on COVID-19 mortality upon SARS-CoV-2 infection, by age and sex, as both the prevalence of these autoantibodies and the risk of COVID-19 death increase with age and are higher in men. Using an unvaccinated sample of 1,261 deceased patients and 34,159 individuals from the general population, we found that autoantibodies against type I IFNs strongly increased the SARS-CoV-2 infection fatality rate at all ages, in both men and women. Autoantibodies against type I IFNs are strong and common predictors of life-threatening COVID-19. Testing for these autoantibodies should be considered in the general population

Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19

BackgroundWe previously reported that impaired type I IFN activity, due to inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity or to autoantibodies against type I IFN, account for 15-20% of cases of life-threatening COVID-19 in unvaccinated patients. Therefore, the determinants of life-threatening COVID-19 remain to be identified in similar to 80% of cases.MethodsWe report here a genome-wide rare variant burden association analysis in 3269 unvaccinated patients with life-threatening COVID-19, and 1373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. Among the 928 patients tested for autoantibodies against type I IFN, a quarter (234) were positive and were excluded.ResultsNo gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI 1.5-528.7, P=1.1x10(-4)) for biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR=3.70[95%CI 1.3-8.2], P=2.1x10(-4)). This enrichment was further strengthened by (1) adding the recently reported TYK2 and TLR7 COVID-19 loci, particularly under a recessive model (OR=19.65[95%CI 2.1-2635.4], P=3.4x10(-3)), and (2) considering as pLOF branchpoint variants with potentially strong impacts on splicing among the 15 loci (OR=4.40[9%CI 2.3-8.4], P=7.7x10(-8)). Finally, the patients with pLOF/bLOF variants at these 15 loci were significantly younger (mean age [SD]=43.3 [20.3] years) than the other patients (56.0 [17.3] years; P=1.68x10(-5)).ConclusionsRare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie life-threatening COVID-19, particularly with recessive inheritance, in patients under 60 years old