Evidence map›Paper›PMID 35519261›Full record

ArticleBiomedical optics express2022

Label-free detection of breast cancer cells using a functionalized tilted fiber grating.

Xiaoyong Chen, Pin Xu, Wenwei Lin, Jin Jiang, Hang Qu, Xuehao Hu, Jinghua Sun, Yukun Cui

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 24 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

8 authors at 2 institutions in 1 country.

Xiaoyong ChenSchool of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, China.
Pin XuDepartment of Physics, College of Science, Shantou University, Shantou, Guangdong 515063, China.
Wenwei LinDepartment of Physics, College of Science, Shantou University, Shantou, Guangdong 515063, China.
Jin JiangGuangdong Provincial Key Laboratory of Breast Cancer Diagnosis and Treatment, Shantou University Medical College Cancer Hospital, Shantou 515041, China.
Hang QuDepartment of Physics, College of Science, Shantou University, Shantou, Guangdong 515063, China.
Xuehao HuDepartment of Physics, College of Science, Shantou University, Shantou, Guangdong 515063, China.ORCID https://orcid.org/0000-0003-0239-6144
Jinghua SunSchool of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523808, China.ORCID https://orcid.org/0000-0001-6420-107X
Yukun CuiGuangdong Provincial Key Laboratory of Breast Cancer Diagnosis and Treatment, Shantou University Medical College Cancer Hospital, Shantou 515041, China.
Shantou University · CNDongguan University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detection of circulating tumor cells (CTCs) still faces a huge challenge partially because of low abundance of CTCs (1-10 cells/mL). In this work, a plasmonic titled fiber Bragg grating biosensor is proposed for detection of breast cancer cells. The biosensor is made by an 18° TFBG with a 50 nm-thick gold nanofilm coating over the surface of the fiber, further immobilized with a specific antibody against GPR30, which is a membrane receptor expressed in many breast cancers, serving as bait. In vitro tests have confirmed that the proposed biosensor can detect breast cancer cells in concentration of 5 cells/mL within 20 minutes and has good linearity in the range of 5-1000 cells/mL, which has met the requirement of CTC detection in real conditions. Furthermore, theoretical analysis based on the experimental results shows that the limit of detection can even reach single-cell level. Our proposed biosensor has a simple structure, is easy to manufacture, is of small size, and has a good performance, making it a good choice for real-time, label-free, and milliliter-volume detection of cancer cells in future.

Identifiers

PMID35519261
PMCPMC9045894
OpenAlexW4214670248

What OpenQuestion holds

Textmetadata
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.