Improved microfluidic platform for simultaneous multiple drug screening towards personalized treatment

2019 ◽  
Vol 123 ◽  
pp. 237-243 ◽  
Author(s):  
Oihane Mitxelena-Iribarren ◽  
Jon Zabalo ◽  
Sergio Arana ◽  
Maite Mujika
2021 ◽  
Vol 23 (4) ◽  
Author(s):  
Sharanya Sankar ◽  
Viraj Mehta ◽  
Subhashini Ravi ◽  
Chandra Shekhar Sharma ◽  
Subha Narayan Rath

2017 ◽  
Vol 94 ◽  
pp. 632-642 ◽  
Author(s):  
Hardik J. Pandya ◽  
Karan Dhingra ◽  
Devbalaji Prabhakar ◽  
Vineethkrishna Chandrasekar ◽  
Siva Kumar Natarajan ◽  
...  

Lab on a Chip ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 122-142
Author(s):  
Lisa F. Horowitz ◽  
Adan D. Rodriguez ◽  
Allan Au-Yeung ◽  
Kevin W. Bishop ◽  
Lindsey A. Barner ◽  
...  

A microfluidic platform permits multiple drug testing of uniformly-sized microscale “cuboids” of live tissue with well-preserved microenvironments.


2016 ◽  
Vol 2 (7) ◽  
pp. e1600274 ◽  
Author(s):  
Bee Luan Khoo ◽  
Gianluca Grenci ◽  
Tengyang Jing ◽  
Ying Bena Lim ◽  
Soo Chin Lee ◽  
...  

The lack of a robust anticancer drug screening system to monitor patients during treatment delays realization of personalized treatment. We demonstrate an efficient approach to evaluate drug response using patient-derived circulating tumor cell (CTC) cultures obtained from liquid biopsy. Custom microfabricated tapered microwells were integrated with microfluidics to allow robust formation of CTC clusters without pre-enrichment and subsequent drug screening in situ. Rapid feedback after 2 weeks promotes immediate intervention upon detection of drug resistance or tolerance. The procedure was clinically validated with blood samples (n = 73) from 55 patients with early-stage, newly diagnosed, locally advanced, or refractory metastatic breast cancer. Twenty-four of these samples were used for drug evaluation. Cluster formation potential correlated inversely with increased drug concentration and therapeutic treatment. This new and robust liquid biopsy technique can potentially evaluate patient prognosis with CTC clusters during treatment and provide a noninvasive and inexpensive assessment that can guide drug discovery development or therapeutic choices for personalized treatment.


Lab on a Chip ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 882-888 ◽  
Author(s):  
Hasan Erbil Abaci ◽  
Karl Gledhill ◽  
Zongyou Guo ◽  
Angela M. Christiano ◽  
Michael L. Shuler

Advances in bio-mimetic in vitro human skin models increase the efficiency of drug screening studies.


Author(s):  
Suryong Kim ◽  
Jihoon Ko ◽  
Seung‐Ryeol Lee ◽  
Dohyun Park ◽  
Seunghyuk Park ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marta Lucchetta ◽  
Marco Pellegrini

AbstractComputational drug repositioning aims at ranking and selecting existing drugs for novel diseases or novel use in old diseases. In silico drug screening has the potential for speeding up considerably the shortlisting of promising candidates in response to outbreaks of diseases such as COVID-19 for which no satisfactory cure has yet been found. We describe DrugMerge as a methodology for preclinical computational drug repositioning based on merging multiple drug rankings obtained with an ensemble of disease active subnetworks. DrugMerge uses differential transcriptomic data on drugs and diseases in the context of a large gene co-expression network. Experiments with four benchmark diseases demonstrate that our method detects in first position drugs in clinical use for the specified disease, in all four cases. Application of DrugMerge to COVID-19 found rankings with many drugs currently in clinical trials for COVID-19 in top positions, thus showing that DrugMerge can mimic human expert judgment.


2019 ◽  
Vol 117 (2) ◽  
pp. 486-497 ◽  
Author(s):  
Paula G. Miller ◽  
Chen‐Yu Chen ◽  
Ying I. Wang ◽  
Emily Gao ◽  
Michael L. Shuler

2019 ◽  
Vol 13 (4) ◽  
pp. 044108 ◽  
Author(s):  
Wentao Shi ◽  
Lara Reid ◽  
Yongyang Huang ◽  
Christopher G. Uhl ◽  
Ran He ◽  
...  

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