Evidence map›Paper›PMID 41156384›Full record

ArticleMicromachines2025

A Novel Microfluidic Platform for Circulating Tumor Cell Identification in Non-Small-Cell Lung Cancer.

Tingting Tian, Shanni Ma, Yan Wang, He Yin, Tiantian Dang, Guangqi Li, Jiaming Li, Weijie Feng, Mei Tian, Jinbo Ma and 1 more

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Tingting TianFirst Clinical Medical College, Ningxia Medical University, Yinchuan 750001, China.
Shanni MaFirst Clinical Medical College, Ningxia Medical University, Yinchuan 750001, China.
Yan WangDepartment of Internal Oncology, Cancer Hospital, General Hospital of Ningxia Medical University, Yinchuan 750001, China.
He YinCenter of Medical Laboratory, General Hospital of Ningxia Medical University, Yinchuan 750001, China.
Tiantian DangCenter of Medical Laboratory, General Hospital of Ningxia Medical University, Yinchuan 750001, China.
Guangqi LiCenter of Medical Laboratory, General Hospital of Ningxia Medical University, Yinchuan 750001, China.
Jiaming LiCenter of Medical Laboratory, General Hospital of Ningxia Medical University, Yinchuan 750001, China.
Weijie FengFirst Clinical Medical College, Ningxia Medical University, Yinchuan 750001, China.
Mei TianSchool of Medical Laboratory, Ningxia Medical University, Yinchuan 750001, China.
Jinbo MaFirst Clinical Medical College, Ningxia Medical University, Yinchuan 750001, China.
Zhijun ZhaoCentral Laboratory, Peking University First Hospital Ningxia Women and Children's Hospital (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), Yinchuan 750004, China.ORCID 0000-0002-8044-6648

Funding

Key R&D Program Project of Ningxia Hui Autonomous Region 2023BEG02002
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are crucial biomarkers for lung cancer metastasis and recurrence, garnering significant clinical attention. Despite this, efficient and cost-effective detection methods remain scarce. Consequently, there is an urgent demand for the development of highly sensitive CTC detection technologies to enhance lung cancer diagnosis and treatment. This study utilized microspheres and A549 cells to model CTCs, assessing the impact of acoustic field forces on cell viability and proliferation and confirming capture efficiency. Subsequently, CTCs from the peripheral blood of patients with lung cancer were captured and identified using fluorescence in situ hybridization, and the results were compared to the immunomagnetic bead method to evaluate the differences between the techniques. Finally, epidermal growth factor receptor (EGFR) mutation analysis was conducted on CTC-positive samples. The findings showed that acoustic microfluidic technology effectively captures microspheres, A549 cells, and CTCs without compromising cell viability or proliferation. Moreover, EGFR mutation analysis successfully identified mutation types in four samples, establishing a basis for personalized targeted therapy. In conclusion, acoustic microfluidic technology preserves cell viability while efficiently capturing CTCs. When integrated with EGFR mutation analysis, it provides robust support for the precise diagnosis and treatment of lung cancer as well as personalized drug therapy.

Indexed as

acousticamplification refractory mutation systemcirculating tumor cellsmicrofluidicsnon-small-cell lung cancer

Identifiers

PMID41156384
PMCPMC12566543

What Socratic holds

Textmetadata
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 Socratic graph.