scispace - formally typeset
Search or ask a question
Institution

Johns Hopkins University School of Medicine

HealthcareBaltimore, Maryland, United States
About: Johns Hopkins University School of Medicine is a healthcare organization based out in Baltimore, Maryland, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 44277 authors who have published 79222 publications receiving 4788882 citations.
Topics: Population, Medicine, Cancer, Transplantation, Gene


Papers
More filters
Journal Article
TL;DR: These findings demonstrate for the first time that LKB1/STK11 inactivation is a very common event and may be integrally involved in the development of sporadic lung adenocarcinoma.
Abstract: Frequent losses of chromosome 19p have recently been observed in sporadic lung adenocarcinomas, targeting the location of a critical tumor suppressor gene. Here we performed fine mapping of the short arm of chromosome 19 and found that the LKB1/STK11 gene mapped in the minimal-deleted region. Because germ-line mutations at LKB1/STK11 result in the Peutz-Jeghers syndrome and an increased risk of cancer, we performed a detailed genetic screen of the LKB1/STK11 gene in lung tumors. We detected a high frequency of somatic alterations (mainly nonsense mutations) in primary lung adenocarcinomas and in lung cancer cell lines. Thus, our findings demonstrate for the first time that LKB1/STK11 inactivation is a very common event and may be integrally involved in the development of sporadic lung adenocarcinoma.

584 citations

Journal ArticleDOI
TL;DR: The ionic conductance that generates the electrical response to light in rods and cones of the vertebrate retina is examined to find indications that the conductance may belong to a new family of ion channels involved in signal.
Abstract: This review examines the ionic conductance that generates the electrical response to light in rods and cones of the vertebrate retina. In visual physiology this conductance is commonly referred to as the light-regulated or light-sensitive conductance. The designation cGMP-activated con­ ductance is perhaps preferable because it is now known to be controlled by guanosine 3',5'-cyclic monophosphate (abbreviated here as cGMP); light modulates the conductance solely by changing the intracellular con­ centration of cGMP. We shall use the different terms for the conductance interchangeably. A review on this channel seems timely in view of the speed of recent progress in understanding its nature and function. The conductance is interesting for several reasons. First, it has physio­ logical properties that are beautifully suited for its role in visual trans­ duction. Second, it is the first ionic channel found whose gating is directly controlled by a cyclic nucleotide. Third, there are indications that the conductance may belong to a new family of ion channels involved in signal

583 citations

Journal ArticleDOI
TL;DR: The immunogenicity of ccRCC tumors cannot be explained by mutation load or neo-antigen load, but is highly correlated with MHC class I antigen presenting machinery expression (APM), and both APM and T cell levels are negatively associated with subclone number.
Abstract: Tumor-infiltrating immune cells have been linked to prognosis and response to immunotherapy; however, the levels of distinct immune cell subsets and the signals that draw them into a tumor, such as the expression of antigen presenting machinery genes, remain poorly characterized. Here, we employ a gene expression-based computational method to profile the infiltration levels of 24 immune cell populations in 19 cancer types. We compare cancer types using an immune infiltration score and a T cell infiltration score and find that clear cell renal cell carcinoma (ccRCC) is among the highest for both scores. Using immune infiltration profiles as well as transcriptomic and proteomic datasets, we characterize three groups of ccRCC tumors: T cell enriched, heterogeneously infiltrated, and non-infiltrated. We observe that the immunogenicity of ccRCC tumors cannot be explained by mutation load or neo-antigen load, but is highly correlated with MHC class I antigen presenting machinery expression (APM). We explore the prognostic value of distinct T cell subsets and show in two cohorts that Th17 cells and CD8+ T/Treg ratio are associated with improved survival, whereas Th2 cells and Tregs are associated with negative outcomes. Investigation of the association of immune infiltration patterns with the subclonal architecture of tumors shows that both APM and T cell levels are negatively associated with subclone number. Our analysis sheds light on the immune infiltration patterns of 19 human cancers and unravels mRNA signatures with prognostic utility and immunotherapeutic biomarker potential in ccRCC.

583 citations

Journal ArticleDOI
TL;DR: As compared with low-dose methadone, levomethadyl acetate, buprenorphine, and high-dose Methadone substantially reduce the use of illicit opioids.
Abstract: Background Opioid dependence is a chronic, relapsing disorder with important public health implications. Methods In a 17-week randomized study of 220 patients, we compared levomethadyl acetate (75 to 115 mg), buprenorphine (16 to 32 mg), and high-dose (60 to 100 mg) and low-dose (20 mg) methadone as treatments for opioid dependence. Levomethadyl acetate and buprenorphine were administered three times a week. Methadone was administered daily. Doses were individualized except in the group assigned to low-dose methadone. Patients with poor responses to treatment were switched to methadone. Results There were 55 patients in each group; 51 percent completed the trial. The mean (±SE) number of days that a patient remained in the study was significantly higher for those receiving levomethadyl acetate (89±6), buprenorphine (96±4), and high-dose methadone (105±4) than for those receiving low-dose methadone (70±4, P<0.001). Continued participation in the study was also significantly more frequent among patients rec...

583 citations


Authors

Showing all 44754 results

NameH-indexPapersCitations
Robert Langer2812324326306
Bert Vogelstein247757332094
Solomon H. Snyder2321222200444
Steven A. Rosenberg2181204199262
Kenneth W. Kinzler215640243944
Hagop M. Kantarjian2043708210208
Mark P. Mattson200980138033
Stuart H. Orkin186715112182
Paul G. Richardson1831533155912
Aaron R. Folsom1811118134044
Gonçalo R. Abecasis179595230323
Jie Zhang1784857221720
Daniel R. Weinberger177879128450
David Baker1731226109377
Eliezer Masliah170982127818
Network Information
Related Institutions (5)
University of California, San Francisco
186.2K papers, 12M citations

99% related

Baylor College of Medicine
94.8K papers, 5M citations

99% related

University of Texas Southwestern Medical Center
75.2K papers, 4.4M citations

98% related

National Institutes of Health
297.8K papers, 21.3M citations

98% related

University of Alabama at Birmingham
86.7K papers, 3.9M citations

97% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023149
2022622
20216,078
20205,107
20194,444
20183,848