Evidence map›Paper›PMID 42884457›Full record

ReviewSensors (Basel, Switzerland)2026

Advances in Urinary Liquid Biopsy: A Review of Emerging Sensing Platforms for Early Cancer Screening and Diagnosis.

Eleni Lamprou, Dimitrios Papakyriakou, Despina P Kalogianni

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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

3 authors.

Eleni LamprouAnalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, GR-26504 Patras, Greece.ORCID 0000-0002-5179-3018
Dimitrios PapakyriakouAnalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, GR-26504 Patras, Greece.ORCID 0009-0002-2480-7127
Despina P KalogianniAnalytical Chemistry & Nanotechnology Group, Department of Chemistry, University of Patras, GR-26504 Patras, Greece.ORCID 0000-0001-9638-8713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early screening of many types of cancers remains limited by the invasiveness of gold-standard tissue biopsies and the poor specificity of traditional clinical biomarkers like prostate-specific antigen (PSA). Non-invasive liquid biopsies are the emerging alternatives. Urine is one of the preferred body fluids for liquid biopsy as it offers a rich, easily accessible and large-volume source of cancer-specific metabolites, proteins, nucleic acids, extracellular vesicles, and cancer cells. This review reports the recent advancements in urinary cancer (bio)sensing technologies, including mainly optical and electrochemical platforms. To overcome the low specificity and detectability of the existing systems, novel nanomaterials, such as metal-organic frameworks, carbon dots, metal nanoparticles, and molecularly imprinted polymers, that offer increased surface area, cost-effectiveness and enzyme-free platforms, as well as accelerated electron transfer, were introduced to provide lower detection limits to the femtomolar and attomolar levels. Additionally, the integration of machine learning and artificial intelligence for biochemical "fingerprint" analysis enhanced diagnostic accuracy. Finally, we discuss the gap between novel sensing systems and robust diagnostic devices for decentralized point-of-care testing (POCT) and personalized medicine in clinical routine.

Indexed as

Biosensing TechniquesEarly Detection of CancerNeoplasmsBiomarkers, TumorHumansLiquid BiopsyMetal NanoparticlesProstatic NeoplasmsBiomarkers, Tumorbiosensorbladder cancerdeep learningliquid biopsymachine learningnanotechnologyprostate cancersensorsensors artificial intelligenceurine

Identifiers

PMID42884457
PMCPMC13667545

What OpenQuestion holds

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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.