The Cancer Surfaceome Atlas integrates genomic, functional and drug response data to identify actionable targets

Nature Cancer ◽  
2021 ◽  
Author(s):  
Zhongyi Hu ◽  
Jiao Yuan ◽  
Meixiao Long ◽  
Junjie Jiang ◽  
Youyou Zhang ◽  
...  
Keyword(s):  
Drug Response ◽  
Response Data

scholarly journals Nonlinear mixed-effects models for modeling in vitro drug response data to determine problematic cancer cell lines

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Farnoosh Abbas-Aghababazadeh ◽  
Pengcheng Lu ◽  
Brooke L. Fridley
Keyword(s):  
Cell Lines ◽  
Cancer Cell ◽  
Drug Response ◽  
Functional Form ◽  
Cancer Cell Lines ◽  
Mixed Effects ◽  
Nonlinear Mixed Effects ◽  
Nonlinear Mixed Effects Models ◽  
Modeling Framework ◽  
Response Data

Abstract Cancer cell lines (CCLs) have been widely used to study of cancer. Recent studies have called into question the reliability of data collected on CCLs. Hence, we set out to determine CCLs that tend to be overly sensitive or resistant to a majority of drugs utilizing a nonlinear mixed-effects (NLME) modeling framework. Using drug response data collected in the Cancer Cell Line Encyclopedia (CCLE) and the Genomics of Drug Sensitivity in Cancer (GDSC), we determined the optimal functional form for each drug. Then, a NLME model was fit to the drug response data, with the estimated random effects used to determine sensitive or resistant CCLs. Out of the roughly 500 CCLs studies from the CCLE, we found 17 cell lines to be overly sensitive or resistant to the studied drugs. In the GDSC, we found 15 out of the 990 CCLs to be excessively sensitive or resistant. These results can inform researchers in the selection of CCLs to include in drug studies. Additionally, this study illustrates the need for assessing the dose-response functional form and the use of NLME models to achieve more stable estimates of drug response parameters.

scholarly journals Using drug response data to identify molecular effectors, and molecular “omic” data to identify candidate drugs in cancer

2014 ◽  
Vol 134 (1) ◽  
pp. 3-11 ◽  
Author(s):  
William C. Reinhold ◽  
Sudhir Varma ◽  
Vinodh N. Rajapakse ◽  
Augustin Luna ◽  
Fabricio Garmus Sousa ◽  
...  
Keyword(s):  
Drug Response ◽  
Response Data ◽  
Omic Data

A modular approach for integrative analysis of large-scale gene-expression and drug-response data

2008 ◽  
Vol 26 (5) ◽  
pp. 531-539 ◽  
Author(s):  
Zoltán Kutalik ◽  
Jacques S Beckmann ◽  
Sven Bergmann
Keyword(s):  
Gene Expression ◽  
Large Scale ◽  
Drug Response ◽  
Integrative Analysis ◽  
Modular Approach ◽  
Response Data

The Effect of Neuroleptics on Cognitive and Psychomotor Function

1992 ◽  
Vol 160 (5) ◽  
pp. 647-653 ◽  
Author(s):  
David J. King ◽  
Geraldine Henry
Keyword(s):  
Reaction Time ◽  
Processing Speed ◽  
Drug Response ◽  
Drug Effects ◽  
Psychomotor Function ◽  
Response Data ◽  
Maze Test ◽  
Visual Reaction ◽  
Subjective Alertness ◽  
Flicker Fusion

The effects of haloperidol (1 mg), benzhexol (5 mg), diazepam (10 mg) and caffeine (400 mg) on subjective and objective measures of cognitive and psychomotor function were compared with placebo in 20 healthy volunteers. While both diazepam and benzhexol were associated with highly significant impairments in subjective alertness, critical flicker fusion threshold and choice reaction time (CRT), haloperidol could not be distinguished from placebo in most tests but was actually associated with an apparent improvement in CRT (in males) and simple visual reaction time. The perceptual maze test detected impairment by benzhexol on processing speed but was not sensitive to any other drug effects. Multiple-dose studies are required to establish if there is a true activating effect of haloperidol using a test of sustained attention. No effect of Eysenck personality subtype or life events on baseline or drug response data was detected.

Abstract 828: gDR suite: an integrative solution for handling cell line drug response data

2020 ◽  
Author(s):  
Marc Hafner ◽  
Arkadiusz Gladki ◽  
Jane Li ◽  
Eva Lin ◽  
Aaron Lun ◽  
...  
Keyword(s):  
Cell Line ◽  
Drug Response ◽  
Response Data ◽  
Line Drug

scholarly journals Plasmodium vivax Polymorphism in a Clinical Drug Trial

2001 ◽  
Vol 8 (5) ◽  
pp. 891-894 ◽  
Author(s):  
T. Adak ◽  
Neena Valecha ◽  
V. P. Sharma
Keyword(s):  
Plasmodium Vivax ◽  
Drug Response ◽  
Drug Trial ◽  
Short Term ◽  
Double Blind ◽  
Response Data ◽  
Clinical Drug Trial ◽  
Clinical Drug

ABSTRACT Data from a double-blind randomized clinical drug trial were analyzed to find the comparative responses of two antirelapse drugs, bulaquine and primaquine, against different relapsing forms ofPlasmodium vivax infection. A 1-year follow-up study strongly suggests that the duration of preerythrocytic development ofP. vivax is a polymorphic characteristic, exhibited by two strains of hypnozoites responsible for early and late manifestations after primary infection. Short-term relapses were significantly higher in the first half year than long-term relapses, and the reverse was true in the second half year. Clinical drug response data showed that the hypnozoites characterized for short-term relapse were not susceptible to either of the antirelapse drugs in the currently administered dose, whereas hypnozoites characterized for long incubation were significantly susceptible.

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