Evidence map›Paper›PMID 34771425›Full record

ArticleCancers2021

Potential Diagnostic Value of the Differential Expression of Histone H3 Variants between Low- and High-Grade Gliomas.

Irati Hervás-Corpión, Andrea Gallardo-Orihuela, Inmaculada Catalina-Fernández, Irene Iglesias-Lozano, Olga Soto-Torres, Noelia Geribaldi-Doldán, Samuel Domínguez-García, Nuria Luna-García, Raquel Romero-García, Francisco Mora-López and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

16 authors at 2 institutions in 1 country.

Irati Hervás-CorpiónInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.ORCID 0000-0002-3991-4147
Andrea Gallardo-OrihuelaInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.ORCID 0000-0003-2520-0474
Inmaculada Catalina-FernándezInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Irene Iglesias-LozanoInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Olga Soto-TorresInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Noelia Geribaldi-DoldánInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.ORCID 0000-0003-2149-9050
Samuel Domínguez-GarcíaInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.ORCID 0000-0003-4319-3466
Nuria Luna-GarcíaInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Raquel Romero-GarcíaInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Francisco Mora-LópezInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Marianela Iriarte-GaheteInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Jorge C MoralesInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Antonio Campos-CaroInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.ORCID 0000-0001-8532-2153
Carmen CastroInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
José L Gil-SalúInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Luis M ValorInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), 11009 Cádiz, Spain.
Biomedical Research and Innovation Institute of Cadiz · ESUniversidad de Cádiz · ES

Funding

Instituto de Salud Carlos III CP15/00180, PI16/00722, PI19/00125, CPII20/00025, PI15/01147, CM18/00043Ministerio de Ciencia e Innovacion RTI2018-099908-B-C21
6 · The paper itself

Abstract

Glioblastoma (GB) is the most aggressive form of glioma and is characterized by poor prognosis and high recurrence despite intensive clinical interventions. To retrieve the key factors underlying the high malignancy of GB with potential diagnosis utility, we combined the analysis of The Cancer Gene Atlas and the REMBRANDT datasets plus a molecular examination of our own collection of surgical tumor resections. We determined a net reduction in the levels of the non-canonical histone H3 variant H3.3 in GB compared to lower-grade astrocytomas and oligodendrogliomas with a concomitant increase in the levels of the canonical histone H3 variants H3.1/H3.2. This increase can be potentially useful in the clinical diagnosis of high-grade gliomas, as evidenced by an immunohistochemistry screening of our cohort and can be at least partially explained by the induction of multiple histone genes encoding these canonical forms. Moreover, GBs showing low bulk levels of the H3.1/H3.2 proteins were more transcriptionally similar to low-grade gliomas than GBs showing high levels of H3.1/H3.2. In conclusion, this study identifies an imbalanced ratio between the H3 variants associated with glioma malignancy and molecular patterns relevant to the biology of gliomas, and proposes the examination of the H3.3 and H3.1/H3.2 levels to further refine diagnosis of low- and high-grade gliomas in future studies.

Indexed as

astrocytomadiagnosisglioblastomaH3.1/H3.2H3.3H3F3BHIST1H3FHIST1H3GHIST1H3JoligodendrogliomaRNA-seq

Identifiers

PMID34771425
PMCPMC8582563
OpenAlexW3205890783

What OpenQuestion 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 OpenQuestion graph.