Evidence map›Paper›PMID 40700271›Full record

ArticleProteomes2025

Proteoform Patterns in Hepatocellular Carcinoma Tissues: Aspects of Oncomarkers.

Elena Zorina, Natalia Ronzhina, Olga Legina, Nikolai Klopov, Victor Zgoda, Stanislav Naryzhny

Abstract read
In one paragraph

Article in Proteomes, 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. p.N370SInternational journal of molecular sciences · 2025
    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

6 authors.

Elena ZorinaInstitute of Biomedical Chemistry, Pogodinskaya, 10, Moscow 119121, Russia.ORCID 0000-0003-4456-6850
Natalia RonzhinaPetersburg Nuclear Physics Institute Named by B. P. Konstantinov of National Research Centre "Kurchatov Institute", Gatchina 188300, Russia.ORCID 0000-0001-6269-8502
Olga LeginaPetersburg Nuclear Physics Institute Named by B. P. Konstantinov of National Research Centre "Kurchatov Institute", Gatchina 188300, Russia.
Nikolai KlopovPetersburg Nuclear Physics Institute Named by B. P. Konstantinov of National Research Centre "Kurchatov Institute", Gatchina 188300, Russia.
Victor ZgodaInstitute of Biomedical Chemistry, Pogodinskaya, 10, Moscow 119121, Russia.
Stanislav NaryzhnyPetersburg Nuclear Physics Institute Named by B. P. Konstantinov of National Research Centre "Kurchatov Institute", Gatchina 188300, Russia.ORCID 0000-0002-4102-3423

Funding

Russian Science Foundation grant No. 24-24-00432
6 · The paper itself

Abstract

backgroundHuman proteins exist in numerous modifications-proteoforms-which are promising targets for biomarker studies. In this study, we aimed to generate comparative proteomics data, including proteoform patterns, from hepatocellular carcinoma (HCC) and nonmalignant liver tissues.

methodsTo investigate protein profiles and proteoform patterns, we employed a panoramic, integrative top-down proteomics approach: two-dimensional gel electrophoresis (2DE) coupled with liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS).

resultsWe visualized over 2500 proteoform patterns per sample type, enabling the identification of distinct protein signatures and common patterns differentiating nonmalignant and malignant liver cells. Among these, 1270 protein patterns were uniformly observed across all samples. Additionally, 38 proteins-including pyruvate kinase PKM (KPYM), annexin A2 (ANXA2), and others-exhibited pronounced differences in proteoform patterns between nonmalignant and malignant tissues.

conclusionsMost proteoform patterns of the same protein were highly similar, with the dominant peak corresponding to theoretical (unmodified) protein parameters. However, certain proteins displayed altered proteoform patterns and additional proteoforms in cancer compared to controls. These proteins were prioritized for further characterization.

Indexed as

2D electrophoresishepatocarcinomaoncomarkerproteoforms

Identifiers

PMID40700271
PMCPMC12285994

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.