Evidence map›Paper›PMID 31300742›Full record

ArticleScientific reports2019

A nanodroplet cell processing platform facilitating drug synergy evaluations for anti-cancer treatments.

Ching-Te Kuo, Jong-Yueh Wang, Siang-Rong Lu, Yu-Sheng Lai, Hsiu-Hao Chang, Jer-Tsong Hsieh, Andrew M Wo, Benjamin P C Chen, Jen-Her Lu, Hsinyu Lee

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Ching-Te KuoDepartment of Electrical Engineering, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan. andyjfykuo@gmail.com.
Jong-Yueh WangDepartment of Life Science, National Taiwan University, Taipei, Taiwan.
Siang-Rong LuDepartment of Life Science, National Taiwan University, Taipei, Taiwan.
Yu-Sheng LaiDepartment of Life Science, National Taiwan University, Taipei, Taiwan.
Hsiu-Hao ChangDepartment of Pediatrics, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Jer-Tsong HsiehDepartment of Urology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Andrew M WoInstitute of Applied Mechanics, National Taiwan University, Taipei, Taiwan.
Benjamin P C ChenDivision of Molecular Radiation Biology, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jen-Her LuDepartment of Pediatrics, Taipei Veterans General Hospital, Taipei, Taiwan. jenherlu@gmail.com.
Hsinyu LeeDepartment of Electrical Engineering, Graduate Institute of Electronics Engineering, National Taiwan University, Taipei, Taiwan. hsinyu@ntu.edu.tw.ORCID http://orcid.org/0000-0002-1477-0183
National Taiwan University · TWThe University of Texas Southwestern Medical Center · USNational Taiwan University Hospital · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic drug synergism intervened in cancer treatments has been demonstrated to be more effective than using a single effector. However, it remains inherently challenging, with a limited cell count from tumor samples, to achieve potent personalized drug cocktails. To address the issue above, we herein present a nanodroplet cell processing platform. The platform incorporates an automatic nanodroplet dispenser with cell array ParaStamp chips, which were fabricated by a new wax stamping approach derived from laser direct writing. Such approach enables not only the on-demand de-wetting with hydrophobic wax films on substrates but also the mask-less fabrication of non-planar microstructures (i.e. no photolithography process). The ParaStamp chip was pre-occupied with anti-cancer drugs and their associate mixtures, enabling for the spatially addressable screening of optimal drug combinations simultaneously. Each droplet with a critical volume of 200 nl containing with 100 cells was utilized. Results revealed that the optimal combination reduces approximate 28-folds of conducted doses compared with single drugs. Tumor inhibition with the optimally selected drug combination was further confirmed by using PC-3 tumor-bearing mouse models. Together, the nanodroplet cell processing platform could therefore offer new opportunities to power the personalized cancer medicine at early-stage drug screening and discovery.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsDimethylpolysiloxanesDrug Screening Assays, AntitumorDrug SynergismEquipment DesignHigh-Throughput Screening AssaysHumansLasersMaleMice, NudeMiniaturizationPC-3 CellsXenograft Model Antitumor AssaysbaysilonDimethylpolysiloxanes

Identifiers

PMID31300742
PMCPMC6625988
OpenAlexW2960255666

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.