Evidence map›Paper›PMID 39955294›Full record

ArticleScientific data2025

Transcriptomics and epigenomics datasets of primary brain cancers in formalin-fixed paraffin embedded format.

Anabel García-Heredia, Luna Guerra-Núñez, Paula Martín-Climent, Estefanía Rojas, Raúl López-Domínguez, Clara Alcántara-Domínguez, Cristina Alenda, Luis M Valor

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Anabel García-HerediaLaboratorio de Investigación, Centro de Diagnóstico, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Hospital General Universitario Dr. Balmis, 03010, Alicante, Spain.
Luna Guerra-NúñezLaboratorio de Investigación, Centro de Diagnóstico, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Hospital General Universitario Dr. Balmis, 03010, Alicante, Spain.ORCID http://orcid.org/0000-0003-4770-4622
Paula Martín-ClimentLaboratorio de Investigación, Centro de Diagnóstico, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Hospital General Universitario Dr. Balmis, 03010, Alicante, Spain.
Estefanía RojasDepartamento de Patología, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Hospital General Universitario Dr. Balmis, 03010, Alicante, Spain.
Raúl López-DomínguezCentro Pfizer - Universidad de Granada - Junta de Andalucía de Genómica e Investigación Oncológica (GENYO), 18016, Granada, Spain.ORCID http://orcid.org/0000-0001-8634-117X
Clara Alcántara-DomínguezCentro Pfizer - Universidad de Granada - Junta de Andalucía de Genómica e Investigación Oncológica (GENYO), 18016, Granada, Spain.ORCID http://orcid.org/0000-0002-4925-4955
Cristina AlendaDepartamento de Patología, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Hospital General Universitario Dr. Balmis, 03010, Alicante, Spain.
Luis M ValorLaboratorio de Investigación, Centro de Diagnóstico, Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Hospital General Universitario Dr. Balmis, 03010, Alicante, Spain. valor_lui@isabial.es.ORCID http://orcid.org/0000-0002-1229-0565

Funding

Generalitat Valenciana (Regional Government of Valencia) INNEST/2022/168Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) CPII20/00025
6 · The paper itself

Abstract

The access of public omics-based datasets is of paramount importance in brain cancer research as allows the proposal and validation of both biomarkers and therapeutic targets in gliomas, especially in the most prevalent and aggressive glioblastomas. Taking profit of current advances in next generation sequencing and DNA methylation profiling, we have created datasets from approximately 150 formalin-fixed paraffin embedded (FFPE) tumours. These datasets enable for the first time integrative transcriptional and epigenetics studies in a context that consider the degradation and fixation-derived chemical alterations of the most extended archiving format in hospitals, and provide an independent cohort from current public databases for further validation of putative novel biomarkers. Alongside with the most profusely known glioblastomas, astrocytomas and oligodendrogliomas, we have also included for comparison purposes few examples of rare tumours that are often neglected in brain cancer research. Taken together, we provide a valuable tool to explore combined gene expression and DNA methylation patterns in the study of gliomas and glioneuronal tumours.

Indexed as

Brain NeoplasmsGliomaTranscriptomeDNA MethylationEpigenomicsFormaldehydeHumansParaffin EmbeddingTissue FixationFormaldehyde

Identifiers

PMID39955294
PMCPMC11830079

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.