Personalized drug testing of tumor samples using a microfluidic platform

Adán D. Rodríguez; Lisa Horowitz; Maxwell Rumaner; Vijayakrishna K. Gadi; Raymond Monnat; Robert C. Rostomily; Albert Folch

Personalized drug testing of tumor samples using a microfluidic platform

Adán D. Rodríguez, Lisa Horowitz, Maxwell Rumaner, Vijayakrishna K. Gadi, Raymond Monnat, Robert C. Rostomily, Albert Folch

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This manuscript reports a user-friendly microfluidic platform for parallel chemosensitivity testing of live patient tissue, which we refer to as Oncoslice [1]. Oncoslice would identify a subset of therapies with the greatest potential for individual patients in a time frame appropriate for therapeutic decision-making and personalized medicine. Here we present a redesigned architecture of Oncoslice and new manufacturing techniques that will facilitate its fabrication on the larger scale necessary for clinical use. We extend our prior studies with normal mouse tissues to include testing with patient-derived glioma xenografts and clinical breast cancer biopsy samples.

Original language	English (US)
Title of host publication	21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017
Publisher	Chemical and Biological Microsystems Society
Pages	235-236
Number of pages	2
ISBN (Electronic)	9780692941836
State	Published - Jan 1 2020
Event	21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017 - Savannah, United States Duration: Oct 22 2017 → Oct 26 2017

Other

Other	21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017
Country/Territory	United States
City	Savannah
Period	10/22/17 → 10/26/17

Keywords

Cancer Therapeutics
Personalized Medicine
Translational Medicine

ASJC Scopus subject areas

Chemical Engineering (miscellaneous)
Bioengineering

Cite this

Personalized drug testing of tumor samples using a microfluidic platform. / Rodríguez, Adán D.; Horowitz, Lisa; Rumaner, Maxwell et al.

21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017. Chemical and Biological Microsystems Society, 2020. p. 235-236.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rodríguez, AD, Horowitz, L, Rumaner, M, Gadi, VK, Monnat, R, Rostomily, RC & Folch, A 2020, Personalized drug testing of tumor samples using a microfluidic platform. in 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017. Chemical and Biological Microsystems Society, pp. 235-236, 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017, Savannah, United States, 10/22/17.

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AU - Rodríguez, Adán D.

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AU - Rumaner, Maxwell

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AU - Monnat, Raymond

AU - Rostomily, Robert C.

AU - Folch, Albert

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AB - This manuscript reports a user-friendly microfluidic platform for parallel chemosensitivity testing of live patient tissue, which we refer to as Oncoslice [1]. Oncoslice would identify a subset of therapies with the greatest potential for individual patients in a time frame appropriate for therapeutic decision-making and personalized medicine. Here we present a redesigned architecture of Oncoslice and new manufacturing techniques that will facilitate its fabrication on the larger scale necessary for clinical use. We extend our prior studies with normal mouse tissues to include testing with patient-derived glioma xenografts and clinical breast cancer biopsy samples.

KW - Cancer Therapeutics

KW - Personalized Medicine

KW - Translational Medicine

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M3 - Conference contribution

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BT - 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017

PB - Chemical and Biological Microsystems Society

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Y2 - 22 October 2017 through 26 October 2017

ER -

Personalized drug testing of tumor samples using a microfluidic platform

Abstract

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Keywords

ASJC Scopus subject areas

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