Evidence map›Paper›PMID 36495079›Full record

ArticleMolecular oncology2023

Glioblastoma stem cells express non-canonical proteins and exclusive mesenchymal-like or non-mesenchymal-like protein signatures.

Haris Babačić, Silvia Galardi, Husen M Umer, Mats Hellström, Lene Uhrbom, Nagaprathyusha Maturi, Deborah Cardinali, Serena Pellegatta, Alessandro Michienzi, Gianluca Trevisi and 4 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2023. 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
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

14 authors at 5 institutions in 2 countries.

Haris BabačićDepartment of Oncology and Pathology, Karolinska Institute, Science for Life Laboratory, Stockholm, Sweden.ORCID 0000-0003-0813-0005
Silvia GalardiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Italy.
Husen M UmerDepartment of Oncology and Pathology, Karolinska Institute, Science for Life Laboratory, Stockholm, Sweden.
Mats HellströmDepartment of Immunology, Genetics and Pathology, Uppsala University, Sweden.
Lene UhrbomDepartment of Immunology, Genetics and Pathology, Uppsala University, Sweden.
Nagaprathyusha MaturiDepartment of Immunology, Genetics and Pathology, Uppsala University, Sweden.
Deborah CardinaliDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Italy.
Serena PellegattaUnit of Immunotherapy of Brain Tumors, Department of Molecular Neuro-Oncology, Foundation IRCCS, Institute for Neurology Carlo Besta, Milan, Italy.
Alessandro MichienziDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Italy.
Gianluca TrevisiNeurosurgical Unit, Hospital Spirito Santo, Pescara, "G. D'Annunzio" University, Chieti, Italy.
Annunziato MangiolaNeurosurgical Unit, Hospital Spirito Santo, Pescara, "G. D'Annunzio" University, Chieti, Italy.
Janne LehtiöDepartment of Oncology and Pathology, Karolinska Institute, Science for Life Laboratory, Stockholm, Sweden.
Silvia Anna CiafrèDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, Italy.ORCID 0000-0001-6467-8396
Maria PernemalmDepartment of Oncology and Pathology, Karolinska Institute, Science for Life Laboratory, Stockholm, Sweden.ORCID 0000-0003-4624-031X
Science for Life Laboratory · SEUniversity of Rome Tor Vergata · ITUppsala University · SEUniversity of Chieti-Pescara · ITFondazione IRCCS Istituto Neurologico Carlo Besta · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) cancer stem cells (GSCs) contribute to GBM's origin, recurrence, and resistance to treatment. However, the understanding of how mRNA expression patterns of GBM subtypes are reflected at global proteome level in GSCs is limited. To characterize protein expression in GSCs, we performed in-depth proteogenomic analysis of patient-derived GSCs by RNA-sequencing and mass-spectrometry. We quantified > 10 000 proteins in two independent GSC panels and propose a GSC-associated proteomic signature characterizing two distinct phenotypic conditions; one defined by proteins upregulated in proneural and classical GSCs (GPC-like), and another by proteins upregulated in mesenchymal GSCs (GM-like). The GM-like protein set in GBM tissue was associated with necrosis, recurrence, and worse overall survival. Through proteogenomics, we discovered 252 non-canonical peptides in the GSCs, i.e., protein sequences that are variant or derive from genome regions previously considered non-protein-coding, including variants of the heterogeneous ribonucleoproteins implicated in RNA splicing. In summary, GSCs express two protein sets that have an inverse association with clinical outcomes in GBM. The discovery of non-canonical protein sequences questions existing gene models and pinpoints new protein targets for research in GBM.

Indexed as

Brain NeoplasmsGlioblastomaCell Line, TumorHumansNeoplastic Stem CellsProteomicsglioblastoma stem cellsmesenchymalproneuralproteogenomicsproteomicssignature

Identifiers

PMID36495079
PMCPMC9892829
OpenAlexW4311020551

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.