Evidence map›Paper›PMID 40136963›Full record

ReviewBiosensors2025

Plasmonic Biosensors in Cancer-Associated miRNA Detection.

Nayoung Kim, Mingyu Bae, Euni Cho, Ki Su Kim, Jin-Ho Lee

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. 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

5 authors.

Nayoung KimDepartment of Information Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.
Mingyu BaeDepartment of Information Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.
Euni ChoDepartment of Information Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.
Ki Su KimSchool of Chemical Engineering, College of Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0002-6289-9467
Jin-Ho LeeDepartment of Information Convergence Engineering, Pusan National University, Yangsan 50612, Republic of Korea.ORCID 0000-0002-5877-0222

Funding

National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) 2020R1C1C1011876 and 2022R1A5A2027161
6 · The paper itself

Abstract

Cancer is one of the most lethal diseases and has distinct variants that affect over 60 organs in the human body. The necessity of advanced methodologies for the early diagnosis of cancer has grown over the past decades. Among various biomarkers, microRNAs (miRNAs) have emerged as highly specific and minimally invasive indicators for cancer detection, prognosis, and treatment monitoring. Their stability in biological fluids and their critical role in gene regulation make them valuable targets for diagnostic applications. Plasmonic biosensors have gained massive attention owing to their unique optical properties, such as surface plasmon resonance, making them promising tools for the sensitive and selective analysis of cancer-associated biomarkers. In contrast to previous reviews, this work offers a comprehensive overview of advancements from approximately the past five years, particularly in the detection of cancer-associated miRNAs. It emphasizes emerging plasmonic sensing strategies, integration with novel nanomaterials, and enhanced signal amplification techniques. By focusing on these recent innovations, this review provides new insights into the potential of plasmonic biosensors to improve cancer diagnosis and treatment.

Indexed as

Biosensing TechniquesMicroRNAsNeoplasmsBiomarkers, TumorHumansSurface Plasmon ResonanceBiomarkers, TumorMicroRNAsbiosensorcancerlocalized surface plasmon resonancemiRNAplasmonic enhanced fluorescentsurface plasmon resonance

Identifiers

PMID40136963
PMCPMC11940778

What OpenQuestion holds

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LicenceCC BY
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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.