Evidence map›Paper›PMID 30867884›Full record

ArticleBiomicrofluidics2019

An automated microfluidic system for selection of aptamer probes against ovarian cancer tissues.

Wei-Ting Liu, Wen-Bin Lee, Yi-Cheng Tsai, Yuan-Jhe Chuang, Keng-Fu Hsu, Gwo-Bin Lee

Abstract read
In one paragraph

Article in Biomicrofluidics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. The Application of Microfluidic Technologies in Aptamer Selection.Frontiers in cell and developmental biology · 2021
    Review
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

6 authors.

Wei-Ting LiuDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Wen-Bin LeeDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Yi-Cheng TsaiDepartment of Power Mechanical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan.
Yuan-Jhe ChuangDepartment of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, Tainan 70403, Taiwan.
Keng-Fu HsuDepartment of Obstetrics and Gynecology, National Cheng Kung University Hospital, College of Medicine, Tainan 70403, Taiwan.ORCID 0000-0002-2698-4971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of the difficulty of treatment in its latest stages, cancer is among the leading causes of death worldwide. Therefore, high-affinity and specificity biomarkers are still in demand for many cancer types, and the utility of aptamers to serve in this regard has been explored recently. Although a process known as "systematic evolution of ligands by exponential enrichment" (SELEX) has been used to generate aptamer-based cancer biomarkers, this approach is complicated, time-consuming, and labor-intensive. An automated microfluidic system was consequently developed herein to screen ovarian cancer-specific aptamers via on-chip SELEX with clinical cancer tissue samples. The integrated microfluidic system consisted of an integrated microfluidic chip, a temperature control module equipped with 12 thermoelectric coolers, and a flow control module for controlling 36 electromagnetic valves such that the entire, tissue-based SELEX process could be fully automated and carried out within 15 h. Highly specific ovarian cancer aptamers with high affinity (dissociation constant of 129 nM) to their cellular targets were screened with this system. Given the comparable specificity to their much more expensive antibody counterparts, these aptamers, when used in conjunction with the developed microfluidic system, may be used to diagnose ovarian cancer in its earliest stages.

Identifiers

PMID30867884
PMCPMC6404914

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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.