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Institution

Memorial Sloan Kettering Cancer Center

HealthcareNew York, New York, United States
About: Memorial Sloan Kettering Cancer Center is a healthcare organization based out in New York, New York, United States. It is known for research contribution in the topics: Cancer & Population. The organization has 30293 authors who have published 65381 publications receiving 4462534 citations. The organization is also known as: MSKCC & New York Cancer Hospital.


Papers
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Journal ArticleDOI
TL;DR: Nivolumab combined with ipilimumab had clinically meaningful intracranial efficacy, concordant with extracranial activity, in patients with melanoma who had untreated brain metastases.
Abstract: Background Brain metastases are a common cause of disabling neurologic complications and death in patients with metastatic melanoma. Previous studies of nivolumab combined with ipilimumab ...

894 citations

Journal ArticleDOI
31 Oct 1996-Nature
TL;DR: DPC4 is essential for the function of Smadl and Smad2 in pathways that signal mesoderm induction and patterning in Xenopus embryos, as well as antimitogenic and transcriptional responses in breast epithelial cells.
Abstract: The TGF-beta/activin/BMP superfamily of growth factors signals through heteromeric receptor complexes of type I and type II serine/threonine kinase receptors. The signal originated by TGF-beta-like molecules appears to be transduced by a set of evolutionarily conserved proteins known as SMADs, which upon activation directly translocate to the nucleus where they may activate transcription. Five SMAD proteins have so far been characterized in vertebrates. These factors are related to the mediator of decapentaplegic (dpp) signalling, mothers against dpp (Mad), in Drosophila and to the Sma genes from Caenorhabditis elegans. Smad1 and Smad2 have been shown to mimic the effects of BMP and activin, respectively, both in Xenopus and in mammalian cells, whereas Smad3 (a close homologue of Smad2) and the related protein DPC4, a tumour-suppressor gene product, mediate TGF-beta actions. We report here that DPC4 is essential for the function of Smad1 and Smad2 in pathways that signal mesoderm induction and patterning in Xenopus embryos, as well as antimitogenic and transcriptional responses in breast epithelial cells. DPC4 associates with Smad1 in response to BMP and with Smad2 in response to activin or TGF-beta. DPC4 is therefore a regulated partner of SMADs that function in different signalling pathways of the TGF-beta family.

893 citations

Journal ArticleDOI
TL;DR: DeconstructSigs confers the ability to define mutational processes driven by environmental exposures, DNA repair abnormalities, and mutagenic processes in individual tumors with implications for precision cancer medicine.
Abstract: Analysis of somatic mutations provides insight into the mutational processes that have shaped the cancer genome, but such analysis currently requires large cohorts. We develop deconstructSigs, which allows the identification of mutational signatures within a single tumor sample. Application of deconstructSigs identifies samples with DNA repair deficiencies and reveals distinct and dynamic mutational processes molding the cancer genome in esophageal adenocarcinoma compared to squamous cell carcinomas. deconstructSigs confers the ability to define mutational processes driven by environmental exposures, DNA repair abnormalities, and mutagenic processes in individual tumors with implications for precision cancer medicine.

893 citations

Journal ArticleDOI
17 Sep 2009-Nature
TL;DR: The derivation of patient-specific FD-iPSCs and the directed differentiation into cells of all three germ layers including peripheral neurons are reported, illustrating the promise of iPSC technology for gaining new insights into human disease pathogenesis and treatment.
Abstract: The isolation of human induced pluripotent stem cells (iPSCs) offers a new strategy for modelling human disease. Recent studies have reported the derivation and differentiation of disease-specific human iPSCs. However, a key challenge in the field is the demonstration of disease-related phenotypes and the ability to model pathogenesis and treatment of disease in iPSCs. Familial dysautonomia (FD) is a rare but fatal peripheral neuropathy, caused by a point mutation in the IKBKAP gene involved in transcriptional elongation. The disease is characterized by the depletion of autonomic and sensory neurons. The specificity to the peripheral nervous system and the mechanism of neuron loss in FD are poorly understood owing to the lack of an appropriate model system. Here we report the derivation of patient-specific FD-iPSCs and the directed differentiation into cells of all three germ layers including peripheral neurons. Gene expression analysis in purified FD-iPSC-derived lineages demonstrates tissue-specific mis-splicing of IKBKAP in vitro. Patient-specific neural crest precursors express particularly low levels of normal IKBKAP transcript, suggesting a mechanism for disease specificity. FD pathogenesis is further characterized by transcriptome analysis and cell-based assays revealing marked defects in neurogenic differentiation and migration behaviour. Furthermore, we use FD-iPSCs for validating the potency of candidate drugs in reversing aberrant splicing and ameliorating neuronal differentiation and migration. Our study illustrates the promise of iPSC technology for gaining new insights into human disease pathogenesis and treatment.

892 citations

Journal ArticleDOI
TL;DR: The three-dimensional dose, volume, and outcome data for lung are reviewed in detail and it is confirmed that there is no evident threshold "tolerance dose-volume" levels and there are strong volume and fractionation effects.
Abstract: The three-dimensional dose, volume, and outcome data for lung are reviewed in detail. The rate of symptomatic pneumonitis is related to many dosimetric parameters, and there are no evident threshold "tolerance dose-volume" levels. There are strong volume and fractionation effects.

892 citations


Authors

Showing all 30708 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
Edward Giovannucci2061671179875
Irving L. Weissman2011141172504
Craig B. Thompson195557173172
Joan Massagué189408149951
Gad Getz189520247560
Chris Sander178713233287
Richard B. Lipton1762110140776
Richard K. Wilson173463260000
George P. Chrousos1691612120752
Stephen J. Elledge162406112878
Murray F. Brennan16192597087
Lewis L. Lanier15955486677
David W. Bates1591239116698
Dan R. Littman157426107164
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023163
2022413
20214,330
20204,389
20194,156
20183,686