Evidence map›Paper›PMID 42157739›Full record

ArticlePathologica2026

Technical feasibility of a long read, fourth generation sequencing platform in diagnostic profiling of clinical routine samples: a proof-of-concept study.

Domenico Vitale, Lorenzo Colarossi, Gianluca Russo, Claudia Scimone, Domenico Cozzolino, Caterina De Luca, Andrey D Prjibelski, Alla Mikheenko, Cristina Colarossi, Francesco Delli Muti and 5 more

Abstract read
In one paragraph

Article in Pathologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Domenico Vitale *Department of Public Health, Federico II University of Naples, Naples, Italy.
Lorenzo Colarossi *Pathology Unit, Department of Experimental Oncology, Mediterranean Institute of Oncology.
Gianluca RussoDepartment of Public Health, Federico II University of Naples, Naples, Italy.
Claudia ScimoneDepartment of Public Health, Federico II University of Naples, Naples, Italy.
Domenico CozzolinoDepartment of Public Health, Federico II University of Naples, Naples, Italy.
Caterina De LucaDepartment of Public Health, Federico II University of Naples, Naples, Italy.
Andrey D PrjibelskiDepartment of Computer Science, University of Helsinki.
Alla MikheenkoUK Dementia Research Institute at UCL, London, UK.
Cristina ColarossiPathology Unit, Department of Experimental Oncology, Mediterranean Institute of Oncology.
Francesco Delli MutiLaboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy.
Francesco PepeDepartment of Public Health, Federico II University of Naples, Naples, Italy.
Lorenzo MemeoPathology Unit, Department of Experimental Oncology, Mediterranean Institute of Oncology.
Giancarlo TronconeDepartment of Public Health, Federico II University of Naples, Naples, Italy.
Lucia Anna Muscarella *Laboratory of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), Italy.
Umberto Malapelle *Department of Public Health, Federico II University of Naples, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Next generation sequencing (NGS) impacted on clinical algorithm of solid tumor patients. A heterogeneous series of NGS platforms have been implemented in clinical practice but challenging handling procedures, high technical costs, and scant affordability on sequencing diagnostic routine specimens can leave behind some patients who could benefit from target drugs. Here, we sought to evaluate technical feasibility of Oxford Nanopore Technologies (ONT) sequencing accurate identification of tumor-associated molecular alterations, in a pilot series of real-world samples. Methods: We developed a technical workflow adapting the SiRe® NGS panel, originally designed for Ion semiconductor sequencing, on MinION platform (Oxford nanopore technologies), a portable, cost effective long read sequencer. The SiRe® panel enables detection of ٥٦٨ clinically actionable somatic mutations across six key genes ( Results: The adapted ONT workflow demonstrated high concordance ratei in detecting clinically relevant molecular alterations on short-read fragments, achieving comparable accuracy with standardized second generation NGS platforms on tissue and liquid biopsy samples. Conclusions: This proof of concept aimed to integrate ONT sequencing into molecular oncology workflows, providing practical, low-cost, and scalable alternative to conventional NGS platforms. The results support the potential of ONT technology to democratize access to precision oncology, particularly in laboratories with limited resources.

Indexed as

Biomarkers, TumorHigh-Throughput Nucleotide SequencingNeoplasmsDNA Mutational AnalysisFeasibility StudiesHumansLiquid BiopsyMutationPilot ProjectsProof of Concept StudyWorkflowBiomarkers, Tumorbioinformatic pipelinesNGSpredictive biomarkerstissue samples

Identifiers

PMID42157739
PMCPMC13187868

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.