Institution
Yonsei University
Education•Seoul, South Korea•
About: Yonsei University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Cancer. The organization has 50162 authors who have published 106172 publications receiving 2279044 citations. The organization is also known as: Yonsei.
Topics: Population, Cancer, Thin film, Breast cancer, Transplantation
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors present an overview on the characteristics of LNG, present state of affairs, its import from overseas, CNG vs. LNG as an automobile fuel, eco-friendliness of natural gas fuel, etc.
419 citations
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TL;DR: A role for native microbiota in protecting plants from microbial pathogens is revealed, and the approach charts a path toward the development of probiotics to ameliorate plant diseases.
Abstract: Tomato variety Hawaii 7996 is resistant to the soil-borne pathogen Ralstonia solanacearum, whereas the Moneymaker variety is susceptible to the pathogen. To evaluate whether plant-associated microorganisms have a role in disease resistance, we analyzed the rhizosphere microbiomes of both varieties in a mesocosm experiment. Microbiome structures differed between the two cultivars. Transplantation of rhizosphere microbiota from resistant plants suppressed disease symptoms in susceptible plants. Comparative analyses of rhizosphere metagenomes from resistant and susceptible plants enabled the identification and assembly of a flavobacterial genome that was far more abundant in the resistant plant rhizosphere microbiome than in that of the susceptible plant. We cultivated this flavobacterium, named TRM1, and found that it could suppress R. solanacearum-disease development in a susceptible plant in pot experiments. Our findings reveal a role for native microbiota in protecting plants from microbial pathogens, and our approach charts a path toward the development of probiotics to ameliorate plant diseases.
417 citations
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TL;DR: A deep CNN algorithm provided considerably good performance in detecting dental caries in periapical radiographs, and is expected to be among the most effective and efficient methods for diagnosing dental carie.
417 citations
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TL;DR: In this paper, a polyamide (PA) nanocomposite membrane containing high loading of TiO2 nanoparticles synthesized via in-situ interfacial polymerization was reported.
416 citations
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University of Melbourne1, Université libre de Bruxelles2, Katholieke Universiteit Leuven3, St. Vincent's Health System4, La Trobe University5, Royal Melbourne Hospital6, Netherlands Cancer Institute7, University of California, San Diego8, Vanderbilt University9, Peter MacCallum Cancer Centre10, University of Paris11, French Institute of Health and Medical Research12, Medical University of Vienna13, Cornell University14, University of Texas MD Anderson Cancer Center15, Mayo Clinic16, Royal Brisbane and Women's Hospital17, University of Queensland18, Harvard University19, Novartis20, Indiana University – Purdue University Indianapolis21, Fred Hutchinson Cancer Research Center22, University of Milan23, University of Auvergne24, Kansai Medical University25, Yeshiva University26, Yonsei University27, Rhode Island Hospital28, Brown University29, Curie Institute30, Charité31, Yale University32, University of British Columbia33, University of Victoria34, Garvan Institute of Medical Research35, Université Paris-Saclay36, Autonomous University of Madrid37, University of Ottawa38, National Institutes of Health39, New York University40, University of Adelaide41, Stanford University42, Anschutz Medical Campus43, University of Padua44, European Organisation for Research and Treatment of Cancer45, Medical University of Graz46, Hoffmann-La Roche47, Genentech48, MedImmune49, Merck & Co.50, Memorial Sloan Kettering Cancer Center51
TL;DR: In this paper, a standardized methodology to assess tumor-infiltrating lymphocytes (TILs) in solid tumors on hematoxylin and eosin sections, in both primary and metastatic settings, was proposed.
Abstract: Assessment of tumor-infiltrating lymphocytes (TILs) in histopathologic specimens can provide important prognostic information in diverse solid tumor types, and may also be of value in predicting response to treatments. However, implementation as a routine clinical biomarker has not yet been achieved. As successful use of immune checkpoint inhibitors and other forms of immunotherapy become a clinical reality, the need for widely applicable, accessible, and reliable immunooncology biomarkers is clear. In part 1 of this review we briefly discuss the host immune response to tumors and different approaches to TIL assessment. We propose a standardized methodology to assess TILs in solid tumors on hematoxylin and eosin sections, in both primary and metastatic settings, based on the International Immuno-Oncology Biomarker Working Group guidelines for TIL assessment in invasive breast carcinoma. A review of the literature regarding the value of TIL assessment in different solid tumor types follows in part 2. The method we propose is reproducible, affordable, easily applied, and has demonstrated prognostic and predictive significance in invasive breast carcinoma. This standardized methodology may be used as a reference against which other methods are compared, and should be evaluated for clinical validity and utility. Standardization of TIL assessment will help to improve consistency and reproducibility in this field, enrich both the quality and quantity of comparable evidence, and help to thoroughly evaluate the utility of TILs assessment in this era of immunotherapy.
415 citations
Authors
Showing all 50632 results
Name | H-index | Papers | Citations |
---|---|---|---|
Younan Xia | 216 | 943 | 175757 |
Peer Bork | 206 | 697 | 245427 |
Ralph Weissleder | 184 | 1160 | 142508 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Gregory Y.H. Lip | 169 | 3159 | 171742 |
Yongsun Kim | 156 | 2588 | 145619 |
Jongmin Lee | 150 | 2257 | 134772 |
James M. Tiedje | 150 | 688 | 102287 |
Guanrong Chen | 141 | 1652 | 92218 |
Kazunori Kataoka | 138 | 908 | 70412 |
Herbert Y. Meltzer | 137 | 1148 | 81371 |
Peter M. Rothwell | 134 | 779 | 67382 |
Tae Jeong Kim | 132 | 1420 | 93959 |
Shih-Chang Lee | 128 | 787 | 61350 |
Ming-Hsuan Yang | 127 | 635 | 75091 |