Institution
Université libre de Bruxelles
Education•Brussels, Belgium•
About: Université libre de Bruxelles is a education organization based out in Brussels, Belgium. It is known for research contribution in the topics: Population & Breast cancer. The organization has 24974 authors who have published 56969 publications receiving 2084303 citations. The organization is also known as: ULB.
Topics: Population, Breast cancer, Context (language use), Receptor, Cancer
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a continuous reactor based on the fluidized bed technique was developed in order to study the kinetics and the mechanisms of the initial stages of weathering of albite.
423 citations
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TL;DR: The 16th St. Gallen International Breast Cancer Conference 2019 as mentioned in this paper reviewed substantial new evidence on loco-regional and systemic therapies for early breast cancer, and encouraged clinicians and patients to routinely discuss the magnitude of benefit for interventions as part of the development of the treatment plan.
422 citations
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TL;DR: The authors rationalize the cross-holdings of debt and equity within the Japanese keiretsu as a contingent governance mechanism through which internal discipline is sustained over time, and the reciprocal allocation of control rights supports cooperation and mutual monitoring among managers through a coalition-enforced threat of removal from control.
421 citations
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TL;DR: A dual role is identified for tumour-cell-derived V EGF in promoting cancer stemness: by stimulating angiogenesis in a paracrine manner, VEGF creates a perivascular niche for CSCs, and by directly affecting CSC’s through Nrp1 in an autocrine loop, VegF stimulatescancer stemness and renewal.
Abstract: Angiogenesis is critical during tumour initiation and malignant progression. Different strategies aimed at blocking vascular endothelial growth factor (VEGF) and its receptors have been developed to inhibit angiogenesis in cancer patients. It has become increasingly clear that in addition to its effect on angiogenesis, other mechanisms including a direct effect of VEGF on tumour cells may account for the efficiency of VEGF-blockade therapies. Cancer stem cells (CSCs) have been described in various cancers including squamous tumours of the skin. Here we use a mouse model of skin tumours to investigate the impact of the vascular niche and VEGF signalling on controlling the stemness (the ability to self renew and differentiate) of squamous skin tumours during the early stages of tumour progression. We show that CSCs of skin papillomas are localized in a perivascular niche, in the immediate vicinity of endothelial cells. Furthermore, blocking VEGFR2 caused tumour regression not only by decreasing the microvascular density, but also by reducing CSC pool size and impairing CSC renewal properties. Conditional deletion of Vegfa in tumour epithelial cells caused tumours to regress, whereas VEGF overexpression by tumour epithelial cells accelerated tumour growth. In addition to its well-known effect on angiogenesis, VEGF affected skin tumour growth by promoting cancer stemness and symmetric CSC division, leading to CSC expansion. Moreover, deletion of neuropilin-1 (Nrp1), a VEGF co-receptor expressed in cutaneous CSCs, blocked VEGF's ability to promote cancer stemness and renewal. Our results identify a dual role for tumour-cell-derived VEGF in promoting cancer stemness: by stimulating angiogenesis in a paracrine manner, VEGF creates a perivascular niche for CSCs, and by directly affecting CSCs through Nrp1 in an autocrine loop, VEGF stimulates cancer stemness and renewal. Finally, deletion of Nrp1 in normal epidermis prevents skin tumour initiation. These results may have important implications for the prevention and treatment of skin cancers.
421 citations
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TL;DR: This paper formally study nonparametric correlation estimators as the Kendall and Spearman correlation by means of their influence functions and gross-error sensitivities, and concludes that both the Spearman and Kendall correlation estimator combine a bounded and smooth influence function with a high efficiency.
Abstract: Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of being resistant to outlying observations. In this paper we formally study their robustness by means of their influence functions and gross-error sensitivities. Since robustness of an estimator often comes at the price of an increased variance, we also compute statistical efficiencies at the normal model. We conclude that both the Spearman and Kendall correlation estimators combine a bounded and smooth influence function with a high efficiency. In a simulation experiment we compare these nonparametric estimators with correlations based on a robust covariance matrix estimator.
419 citations
Authors
Showing all 25206 results
Name | H-index | Papers | Citations |
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Karl J. Friston | 217 | 1267 | 217169 |
Yi Chen | 217 | 4342 | 293080 |
David Miller | 203 | 2573 | 204840 |
Jing Wang | 184 | 4046 | 202769 |
H. S. Chen | 179 | 2401 | 178529 |
Jie Zhang | 178 | 4857 | 221720 |
Jasvinder A. Singh | 176 | 2382 | 223370 |
D. M. Strom | 176 | 3167 | 194314 |
J. N. Butler | 172 | 2525 | 175561 |
Andrea Bocci | 172 | 2402 | 176461 |
Bradley Cox | 169 | 2150 | 156200 |
Marc Weber | 167 | 2716 | 153502 |
Hongfang Liu | 166 | 2356 | 156290 |
Guenakh Mitselmakher | 165 | 1951 | 164435 |
Yang Yang | 164 | 2704 | 144071 |