Evidence map›Paper›PMID 26924553›Full record

ArticleScientific reports2016

Microfluidic enrichment for the single cell analysis of circulating tumor cells.

Trifanny Yeo, Swee Jin Tan, Chew Leng Lim, Dawn Ping Xi Lau, Yong Wei Chua, Sai Sakktee Krisna, Gopal Iyer, Gek San Tan, Tony Kiat Hon Lim, Daniel S W Tan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
12.9field-weighted citation impact, top 1% 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

50 citing papers in PubMed, 123 citations in OpenAlex.

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  9. Modular microfluidics for life sciences.Journal of nanobiotechnology · 2023
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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

12 authors at 6 institutions in 1 country.

Trifanny YeoClearbridge Accelerator Pte Ltd, 81 Science Park Drive, The Chadwick, #02-03, Singapore Science Park 1, Singapore 118257, Singapore.
Swee Jin TanClearbridge Accelerator Pte Ltd, 81 Science Park Drive, The Chadwick, #02-03, Singapore Science Park 1, Singapore 118257, Singapore.
Chew Leng LimSchool of Biological Science, National Technological University, 60 Nanyang Drive, Singapore 637551, Singapore.
Dawn Ping Xi LauCancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610, Singapore.
Yong Wei ChuaDepartment of Pathology, Singapore General Hospital, Outram Road, Singapore 169608, Singapore.
Sai Sakktee KrisnaCancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610, Singapore.
Gopal IyerCancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610, Singapore.
Gek San TanDepartment of Pathology, Singapore General Hospital, Outram Road, Singapore 169608, Singapore.
Tony Kiat Hon LimDepartment of Pathology, Singapore General Hospital, Outram Road, Singapore 169608, Singapore.
Daniel S W TanCancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610, Singapore.
Wan-Teck LimDivision of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, Singapore 169610, Singapore.
Chwee Teck LimDepartment of Biomedical Engineering, National University of Singapore, 4 Engineering Drive 3, Block E4, #04-08, Singapore 117583, Singapore.
National Cancer Centre Singapore · SGSingapore General Hospital · SGSingapore Science Park · SGGenome Institute of Singapore · SGNanyang Technological University · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resistance to drug therapy is a major concern in cancer treatment. To probe clones resistant to chemotherapy, the current approach is to conduct pooled cell analysis. However, this can yield false negative outcomes, especially when we are analyzing a rare number of circulating tumor cells (CTCs) among an abundance of other cell types. Here, we develop a microfluidic device that is able to perform high throughput, selective picking and isolation of single CTC to 100% purity from a larger population of other cells. This microfluidic device can effectively separate the very rare CTCs from blood samples from as few as 1 in 20,000 white blood cells. We first demonstrate isolation of pure tumor cells from a mixed population and track variations of acquired T790M mutations before and after drug treatment using a model PC9 cell line. With clinical CTC samples, we then show that the isolated single CTCs are representative of dominant EGFR mutations such as T790M and L858R found in the primary tumor. With this single cell recovery device, we can potentially implement personalized treatment not only through detecting genetic aberrations at the single cell level, but also through tracking such changes during an anticancer therapy.

Indexed as

Lab-On-A-Chip DevicesCarcinoma, Non-Small-Cell LungCell Line, TumorCell SeparationDrug Resistance, NeoplasmErbB ReceptorsHumansLung NeoplasmsMCF-7 CellsMicrofluidic Analytical TechniquesMutationNeoplastic Cells, CirculatingSingle-Cell AnalysisEGFR protein, humanErbB Receptors

Identifiers

PMID26924553
PMCPMC4770429
OpenAlexW2324190678

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Registered trials

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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.