Evidence map›Paper›PMID 39852107›Full record

ArticleBiosensors2025

MOX Nanosensors to Detect Colorectal Cancer Relapses from Patient's Blood at Three Years Follow-Up, and Gender Correlation.

Michele Astolfi, Giulia Zonta, Cesare Malagù, Gabriele Anania, Giorgio Rispoli

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Michele AstolfiDepartment of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.
Giulia ZontaSCENT S.r.l., Via Quadrifoglio 11, 44124 Ferrara, Italy.ORCID 0000-0001-7986-6496
Cesare MalagùSCENT S.r.l., Via Quadrifoglio 11, 44124 Ferrara, Italy.ORCID 0000-0002-8362-5289
Gabriele AnaniaDepartment of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0001-9255-3312
Giorgio RispoliDepartment of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0002-9390-5620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer represents 10% of all the annual tumors diagnosed worldwide, being often not timely diagnosed, because its symptoms are typically lacking or very mild. Therefore, it is crucial to develop and validate innovative low-invasive techniques to detect it before becoming intractable. To this aim, a device equipped with nanostructured gas sensors has been employed to detect the airborne molecules of blood samples collected from healthy subjects, and from colorectal cancer affected patients at different stages of their pre- and post-surgery therapeutic path. Data was scrutinized by using statistical standard techniques to highlight their statistical differences, and through principal component analysis and support vector machine to classify them. The device was able to readily distinguish between the pre-surgery blood samples (i.e., taken when the patient had cancer), and the ones up to three years post-surgery (i.e., following the tumor removal) or the ones from healthy subjects. Finally, the correlation of the sensor responses with the patient/healthy subject's gender was investigated, resulting negligible. These results pave the path toward a clinical validation of this device to monitor the patient's health status by detecting possible relapses, to parallel to clinical follow-up protocols.

Indexed as

Biosensing TechniquesColorectal NeoplasmsNeoplasm Recurrence, LocalFemaleFollow-Up StudiesHumansMaleMiddle AgedNanostructuresSex Factorsbloodchemoresistivitycolorectal cancerfollow-upgas sensornanotechnologypreventive screeningVOCs

Identifiers

PMID39852107
PMCPMC11764080

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Registered trials

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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.