Evidence map›Paper›PMID 42783146›Full record

ReviewBiosensors2026

Conducting Polymer-Nanomaterial Hybrids for Cancer Diagnostics.

Mingyu Bae, Jin-Ho Lee

Abstract readReview
In one paragraph

Review in Biosensors, 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

2 authors.

Mingyu BaeDepartment of Information Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.
Jin-Ho LeeDepartment of Information Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.ORCID 0000-0002-5877-0222

Funding

Pusan National University This work was supported by the Financial Supporting Project of Long-term Overseas Dispatch of PNU's Tenure-track Faculty, 2024.
6 · The paper itself

Abstract

Cancer continues to pose a major global burden because of the high incidence and mortality, underscoring the urgent need for innovative and highly sensitive diagnostic technologies. Conducting polymer-nanomaterial (CP-NM) hybrid biosensors have become promising platforms for cancer biomarker detection, integrating the redox-active and biocompatible nature of conducting polymers such as polyaniline (PANI), polypyrrole (PPy), and poly(3,4-ethylenedioxythiophene) (PEDOT) with the high surface area and charge transport properties of nanomaterials, including metallic nanoparticles, metal oxides, carbon-based nanostructures, and two-dimensional materials. The synergistic interfaces in these hybrids enable efficient electron transfer, signal amplification, and stable biomolecular immobilization, facilitating ultrasensitive and multiplexed detection of proteins, nucleic acids, and metabolites associated with tumor progression. This review highlights recent advances in CP-NM hybrid biosensors for cancer diagnostics, focusing on material design strategies, sensing mechanisms, and representative applications across electrochemical, optical, and mechanical modalities. Finally, key challenges and future perspectives are discussed, emphasizing the potential of CP-NM hybrid platforms to drive next-generation approaches for early cancer detection, therapeutic monitoring, and personalized healthcare.

Indexed as

Biosensing TechniquesNanostructuresNeoplasmsPolymersAniline CompoundsBridged Bicyclo Compounds, HeterocyclicElectrochemical TechniquesHumansPyrrolesAniline CompoundsBridged Bicyclo Compounds, HeterocyclicpolyanilinePolymerspolypyrrolePyrrolesbiosensorcancerconducting polymerconducting polymer–nanomaterial hybridsnanomaterial

Identifiers

PMID42783146
PMCPMC13604043

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.