Evidence map›Paper›PMID 42589489›Full record

ArticleInternational journal of molecular sciences2026

Extracellular Alpha-Satellite DNA in Human Plasma as a Candidate Biomarker for Bladder Cancer Detection: Preliminary Evidence Using Digital PCR.

Nunzia Santini, Alfredo Procino, Sven Ljubić, Damir Đermić, Đurđica Ugarković, Isidoro Feliciello

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

6 authors.

Nunzia SantiniDepartment of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.
Alfredo ProcinoDepartment of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.
Sven LjubićDepartment of Molecular Biology, Ruder Boškovic Institute,10000 Zagreb, Croatia.ORCID 0000-0002-9947-3953
Damir ĐermićDepartment of Molecular Biology, Ruder Boškovic Institute,10000 Zagreb, Croatia.ORCID 0000-0002-5263-2750
Đurđica UgarkovićDepartment of Molecular Biology, Ruder Boškovic Institute,10000 Zagreb, Croatia.ORCID 0000-0003-0925-3939
Isidoro FelicielloDepartment of Clinical Medicine and Surgery, University of Naples Federico II, 80131 Naples, Italy.ORCID 0000-0002-2588-9366

Funding

University of Naples Federico II 000015_FFABR_2017University of Naples Federico II FIN_ACC_INT EF2023
6 · The paper itself

Abstract

Bladder cancer (BC) is a common urological malignancy that lacks the non-invasive biomarkers that would make it suitable for early diagnosis. Human alpha-satellite DNA (hASAT) is a tandemly repeated centromeric/pericentromeric DNA family associated with chromosomal stability and cancer-related genomic instability. We quantified extracellular hASAT (ec-hASAT) in plasma circulating cell-free DNA by nanoplate-based digital PCR in a pilot cohort including 29 BC-negative samples, 10 patients with non-muscle-invasive BC (NMIBC), and 7 patients with muscle-invasive BC (MIBC). Plasma ec-hASAT copy number was higher in patients with BC than in the BC-negative group (Mann-Whitney U test,

Indexed as

Biomarkers, TumorDNA, SatellitePolymerase Chain ReactionUrinary Bladder NeoplasmsAgedAged, 80 and overCell-Free Nucleic AcidsExtrachromosomal DNAFemaleHumansMaleMiddle AgedROC CurveBiomarkers, TumorCell-Free Nucleic AcidsDNA, SatelliteExtrachromosomal DNAalpha-satellite DNAbiomarkerbladder cancercirculating cell-free DNAdigital PCRextracellular DNAhASATliquid biopsynon-muscle-invasive bladder cancerROC analysis

Identifiers

PMID42589489
PMCPMC13466268

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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.