Evidence map›Paper›PMID 40496069›Full record

ArticleJournal of pharmaceutical analysis2025

A gene set enrichment analysis for cancer hallmarks.

Otília Menyhart, William Jayasekara Kothalawala, Balázs Győrffy

Abstract read
In one paragraph

Article in Journal of pharmaceutical analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
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  7. Computational evaluation ofCurrent research in structural biology · 2026
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  9. International journal of molecular sciences · 2026
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3 more citing papers are in PubMed but not listed here.

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

3 authors.

Otília MenyhartCancer Biomarker Research Group, Institute of Molecular Life Sciences, Hungarian Research Network, Budapest, 1117, Hungary.
William Jayasekara KothalawalaDepartment of Bioinformatics, Semmelweis University, Budapest, 1094, Hungary.
Balázs GyőrffyCancer Biomarker Research Group, Institute of Molecular Life Sciences, Hungarian Research Network, Budapest, 1117, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The "hallmarks of cancer" concept provides a valuable framework for understanding fundamental organizing principles common to various cancers. However, without a consensus gene set for cancer hallmarks, data comparison and integration result in diverse biological interpretations across studies. Therefore, we aimed to form a consensus cancer hallmark gene set by merging data from available mapping resources and establishing a framework for mining these gene sets. By consolidating data from seven projects, 6763 genes associated with 10 cancer hallmarks were identified. A cancer hallmarks enrichment analysis was performed for prognostic genes associated with overall survival across 12 types of solid tumors. "Tissue invasion and metastasis" was most prominent in cancers of the stomach (

Indexed as

Cancer hallmarksCandidate hallmark genesDrug developmentNew drug targetsOverrepresentation analysisPan-cancerPharmacology

Identifiers

PMID40496069
PMCPMC12151186

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.