Evidence map›Paper›PMID 41272736›Full record

ArticleClinical epigenetics2025

Histone-based liquid biopsy discriminates between myelodysplastic syndrome and solid malignancies.

Desislava K Tsoneva, Diana Buzova, Salvatore Daniele Bianco, Ilina Micheva, Merlin Efraim, Nikol Daskalova, Igor Resnick, Maria Teneva, Trifon Chervenkov, Nikolay Vladimirov Conev and 5 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2025. 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. Article
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.

Desislava K Tsoneva *Department of Medical Genetics, Medical University of Varna, Varna, Bulgaria.
Diana Buzova *Department of Adaptive Biotechnologies, Global Change Research Institute CAS, Brno, Czech Republic.
Salvatore Daniele Bianco *Bioinformatics Laboratory, Fondazione IRCCS Casa Sollievo della Sofferenza, S. Giovanni Rotondo, Italy.
Ilina MichevaClinic of Hematology, St. Marina University Hospital, Medical University of Varna, Varna, Bulgaria.
Merlin EfraimClinic of Hematology, St. Marina University Hospital, Medical University of Varna, Varna, Bulgaria.
Nikol DaskalovaDepartment of Stem Cell Biology and Transplantology, Research Institute of the Medical University of Varna, Varna, Bulgaria.
Igor ResnickDepartment of Stem Cell Biology and Transplantology, Research Institute of the Medical University of Varna, Varna, Bulgaria.
Maria TenevaDepartment of Medical Genetics, Medical University of Varna, Varna, Bulgaria.
Trifon ChervenkovDepartment of Medical Genetics, Medical University of Varna, Varna, Bulgaria.
Nikolay Vladimirov ConevClinic of Medical Oncology, St. Marina University Hospital, Medical University of Varna, Varna, Bulgaria.
Rostislav ManevClinic of Medical Oncology, St. Marina University Hospital, Medical University of Varna, Varna, Bulgaria.
Dragomir Svetozarov StoyanovClinic of Medical Oncology, St. Marina University Hospital, Medical University of Varna, Varna, Bulgaria.
Jan CervenyDepartment of Adaptive Biotechnologies, Global Change Research Institute CAS, Brno, Czech Republic.
Tommaso MazzaComputational Biology and Bioinformatics Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Manlio VinciguerraDepartment of Stem Cell Biology and Transplantology, Research Institute of the Medical University of Varna, Varna, Bulgaria. manlio.vinciguerra@mu-varna.bg.

Funding

Bulgarian National Science Fund #№ КП-06-Н53/6 от 11.11.2021
6 · The paper itself

Abstract

backgroundCancers can be hematological or solid, sharing many hallmarks, although their clinical behaviors are distinct. Identifying biomarkers that differentiate hematological from non-hematological malignancies could aid differential diagnosis by providing the basis for developing point-of-care diagnostic devices. In this respect, complex histone populations are secreted and detectable in biological fluids in various disease settings. To our knowledge, studies analyzing the circulating histone profile complexity by comparing healthy individuals, patients with hematological malignancies, and solid cancer patients are currently lacking.

resultsWe assessed the plasma histone signature of healthy subjects (n = 30), and of patients with myelodysplastic syndrome (MDS, n = 43), colorectal cancer (CRC, n = 39), lung cancer (non-small cell lung cancer [NSCLC, n = 15]), small cell lung cancer [SCLC, n = 4]), or breast cancer [BC, n = 16]). Principal component analysis (PCA) demonstrated the segregation of circulating histones and histone complexes between oncological and healthy patients. Individual histones (H2A, H2B, H3, H4, macroH2A1.1, and macroH2A1.2), histone dimers and nucleosomes were assayed by ImageStream(X)-advanced flow cytometry. We found general increases in circulating histone abundance in the blood of cancer patients versus healthy controls. MDS and solid cancers could be discriminated among themselves for an increased abundance of histones H2A and macroH2A1.2 (p < 0.01), and a decreased abundance of H2A/H2B/H3/H4 and H3/H4 histone complexes (p < 0.01). Moreover, macroH2A1.2 and H2A/H2B/H3/H4 levels negatively or positively correlated with age in healthy subjects versus MDS patients, respectively.

conclusionsOverall, we identified circulating histone signatures able to discriminate between solid and MDS, using a rapid and non-invasive imaging technology, which may improve patient diagnosis.

Indexed as

HistonesMyelodysplastic SyndromesNeoplasmsAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCase-Control StudiesColorectal NeoplasmsDiagnosis, DifferentialFemaleHumansLiquid BiopsyLung NeoplasmsMaleBiomarkers, TumorHistonesHistoneLiquid biopsyMDSNucleosomesSolid tumor malignancies

Identifiers

PMID41272736
PMCPMC12639983

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.