Evidence map›Paper›PMID 40862934›Full record

ReviewBiosensors2025

Shining the Path of Precision Diagnostic: Advancements in Photonic Sensors for Liquid Biopsy.

Paola Colapietro, Giuseppe Brunetti, Carlotta Panciera, Aurora Elicio, Caterina Ciminelli

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Paola ColapietroOptoelectronics Laboratory, Politecnico di Bari, Via E. Orabona 6, 70125 Bari, Italy.
Giuseppe BrunettiOptoelectronics Laboratory, Politecnico di Bari, Via E. Orabona 6, 70125 Bari, Italy.ORCID 0000-0002-6715-6777
Carlotta PancieraOptoelectronics Laboratory, Politecnico di Bari, Via E. Orabona 6, 70125 Bari, Italy.
Aurora ElicioOptoelectronics Laboratory, Politecnico di Bari, Via E. Orabona 6, 70125 Bari, Italy.
Caterina CiminelliOptoelectronics Laboratory, Politecnico di Bari, Via E. Orabona 6, 70125 Bari, Italy.ORCID 0000-0001-8724-016X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid biopsy (LB) has gained attention as a valuable approach for cancer diagnostics, providing a minimally invasive option compared to conventional tissue biopsies and helping to overcome issues related to patient discomfort and procedural invasiveness. Recent advances in biosensor technologies, particularly photonic sensors, have improved the accuracy, speed, and real-time capabilities for detecting circulating biomarkers in biological fluids. Incorporating these tools into clinical practice facilitates more informed therapeutic choices and contributes to tailoring treatments to individual patient profiles. This review highlights the clinical potential of LB, examines technological limitations, and outlines future research directions. Departing from traditional biosensor focused reviews, it adopts a reverse-mapping approach grounded in clinically relevant tumor biomarkers. Specifically, biomarkers associated with prevalent cancers, such as breast, prostate, and lung cancers, serve as the starting point for identifying the most suitable photonic sensing platforms. The analysis underscores the need to align sensor design with the physicochemical properties of each biomarker and the operational requirements of the application. No photonic platform is universally optimal; rather, each exhibits specific strengths depending on performance metrics such as sensitivity, limit of detection, and easy system integration. Within this framework, the review provides a comprehensive assessment of emerging photonic biosensors and outlines key priorities to support their effective clinical translation in cancer diagnostics.

Indexed as

Biosensing TechniquesNeoplasmsPrecision MedicineBiomarkers, TumorHumansLiquid BiopsyOptics and PhotonicsPhotonsBiomarkers, Tumorcancer detectioncirculating tumor biomarkerslabel-free photonic biosensorsliquid biopsy

Identifiers

PMID40862934
PMCPMC12385121

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.