Evidence map›Paper›PMID 28948518›Full record

ArticlePathology oncology research : POR2019

Molecular Subgroups of Glioblastoma- an Assessment by Immunohistochemical Markers.

Ádám Nagy, Ferenc Garzuly, Gergely Padányi, Iván Szűcs, Ádám Feldmann, Balázs Murnyák, Tibor Hortobágyi, Bernadette Kálmán

Abstract read
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In one paragraph

Article in Pathology oncology research : POR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  9. DNA CpG methylation in sequential glioblastoma specimens.Journal of cancer research and clinical oncology · 2020
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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

8 authors at 3 institutions in 1 country.

Ádám NagyFaculty of Health Sciences, School of Graduate Studies, University of Pécs, Pécs, Hungary.
Ferenc GarzulyMarkusovszky University Teaching Hospital, University of Pecs, 5. Markusovszky Street, Szombathely, 9700, Hungary.
Gergely PadányiMarkusovszky University Teaching Hospital, University of Pecs, 5. Markusovszky Street, Szombathely, 9700, Hungary.
Iván SzűcsSt Borbála Hospital, Tatabánya, Hungary.
Ádám FeldmannFaculty of Medicine, Institute of Behavioral Sciences, University of Pécs, Pécs, Hungary.
Balázs MurnyákDepartment of Pathology, Division of Neuropathology, University of Debrecen, Debrecen, Hungary.
Tibor HortobágyiDepartment of Pathology, Division of Neuropathology, University of Debrecen, Debrecen, Hungary.
Bernadette KálmánFaculty of Health Sciences, School of Graduate Studies, University of Pécs, Pécs, Hungary. bernadett.kalman@etk.pte.hu.
University of Pecs · HUUniversity of Debrecen · HUSzent Borbála Kórház · HU

Funding

GINOP GINOP-2.3.2-15-2016-00043Hungarian Brain Research Programme NAP KTIA_13_NAP-A-II/7University of Pecs Internal
6 · The paper itself

Abstract

Comprehensive molecular characterization of and novel therapeutic approaches to glioblastoma have been explored as a result of advancements in biotechnologies. In this study, we aimed to bring basic research discoveries closer to clinical practice and ultimately incorporate molecular classification into the routine histopathological evaluation of grade IV gliomas. Integrated results of genome-wide sequencing, transcriptomic and epigenomic analyses by The Cancer Genome Atlas Network defined the classic, proneural, neural and mesenchymal subtypes of this tumor. In a retrospective cohort, we analyzed selected subgroup-defining molecular markers in formalin-fixed paraffin-embedded surgical specimens by immunohistochemistry. Quantitative and qualitative scores of marker expression were tested in hierarchical cluster analyses to evaluate segregations of the molecular subgroups, which then were correlated with clinical parameters including patients' age, gender and overall survival. Our study has confirmed the separation of molecular glioblastoma subgroups with clear trends regarding clinical correlations. Future analyses in a larger, prospective cohort using similar methods are expected to facilitate the development of a molecular diagnostic panel that may complement routine histological work up and support prognostication as well as treatment decisions in glioblastoma.

Indexed as

Gene Expression Regulation, NeoplasticTranscriptomeAdultAgedAged, 80 and overBiomarkers, TumorBrain NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesGene Expression ProfilingGlioblastomaHumansImmunohistochemistryMaleMiddle AgedBiomarkers, TumorClinical settingGlioblastomaMolecular subgroupsTranslation

Identifiers

PMID28948518
OpenAlexW2759088818

What OpenQuestion holds

Textmetadata
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.