Evidence map›Paper›PMID 42861255›Full record

ReviewExploration (Beijing, China)2026

Micro/Nanostructured Materials and Microfluidic Diagnostic Platforms Enable Multimodal Detection of Circulating Tumor Cells.

Hao Li, Jiaojiao Sun, Kunguo Liu, Shijie Wang, Bowen Fu, Hong Zhu, Peng Cao, Xin Han

Abstract readReview
In one paragraph

Review in Exploration (Beijing, China), 2026. 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

8 authors.

Hao LiDepartment of Medical Oncology the First Affiliated Hospital of Soochow University Suzhou China.
Jiaojiao SunSuzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou China.
Kunguo LiuState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Nanjing University of Chinese Medicine Nanjing China.
Shijie WangState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Nanjing University of Chinese Medicine Nanjing China.
Bowen FuSchool of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore.
Hong ZhuDepartment of Medical Oncology the First Affiliated Hospital of Soochow University Suzhou China.
Peng CaoState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Nanjing University of Chinese Medicine Nanjing China.
Xin HanState Key Laboratory on Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture Nanjing University of Chinese Medicine Nanjing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating tumor cells (CTCs), as pivotal targets in liquid biopsy, offer dynamic, multidimensional insights into tumor heterogeneity and metastatic progression. However, their extreme rarity, pronounced heterogeneity, and the complexity of the blood microenvironment severely constrain detection accuracy. Advances in micro/nanomaterials and functional device engineering have enabled substantial improvements in CTC enrichment efficiency by refining the topographical and chemical properties of capture interfaces. These innovations also provide a compatible foundation for multimodal molecular profiling. This review systematically outlines the structure-function relationships of functionalized nanomaterials, microfiltration substrates, and biomimetic microfluidic devices, highlighting how material parameters-such as nanoscale architectures and membrane pore sizes-govern CTC capture performance. We further explore the integration of micro/nanomaterials with functional platforms for multidimensional molecular analyses across DNA, RNA, and protein levels. Coupled with emerging digital PCR technologies, these systems show promise in overcoming the sensitivity barriers associated with rare mutation detection and protein quantification, enabling multi-omics data fusion. We also discuss how artificial intelligence (AI)-driven feature selection, clustering, and prediction integrate multidimensional data to decode tumor heterogeneity and guide disease monitoring. Despite rapid progress, key challenges remain-including the lack of standardization, limited integration of multi-omic datasets, and the need for robust clinical validation. Future directions may lie in the convergence of microfluidic-integrated materials, single-cell multi-omics, and AI-driven analytics to establish dynamic, high-resolution monitoring platforms that bridge the gap between fundamental research and clinical precision oncology.

Indexed as

circulating tumor cellsefficient enrichmentmicrofluidic technologymicro/nanostructured materialsmultidimensional molecular profiling

Identifiers

PMID42861255
PMCPMC13654183

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.