Evidence map›Paper›PMID 28608251›Full record

ReviewHuman genetics2017

RNA processing as an alternative route to attack glioblastoma.

Fabiana Marcelino Meliso, Christopher G Hubert, Pedro A Favoretto Galante, Luiz O Penalva

Abstract readReview
In one paragraph

Review in Human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Neoantigens: promising targets for cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  6. Article
  7. Sources of Cancer Neoantigens beyond Single-Nucleotide Variants.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Article
  10. Molecular Mechanisms of Drug Resistance in Glioblastoma.International journal of molecular sciences · 2021
    Review
  11. Review
  12. Functional and conformational impact of cancer-associatedComputational and structural biotechnology journal · 2021
    Article
  13. Article
  14. Article
  15. Targeting mRNA processing as an anticancer strategy.Nature reviews. Drug discovery · 2020
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

4 authors.

Fabiana Marcelino MelisoMolecular Oncology Center, Hospital Sirio Libanês, São Paulo, SP, Brazil.ORCID 0000-0003-0985-227X
Christopher G HubertDepartment of Stem Cell Biology and Regenerative Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
Pedro A Favoretto GalanteMolecular Oncology Center, Hospital Sirio Libanês, São Paulo, SP, Brazil.
Luiz O PenalvaChildren's Cancer Research Institute, UT Health San Antonio, San Antonio, TX, USA. penalva@uthscsa.edu.

Funding

Computational Methods for Deep Sequencing Based RBP Binding Motif CharacterizatioR01HG006015 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PENALVA, LUIZ OTAVIO, SMITH, ANDREW DAVID · 2011 to 2017
$2.6M
Determination of Musashi1/CD44v6 signaling in mesenchymal glioma stem cellsR21CA175875 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI NAKANO, ICHIRO, PENALVA, LUIZ OTAVIO · 2014 to 2015
$377k
Splicing factors and RNA processing alternations: exploring new players in glioblastoma developmentR21CA205475 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI PENALVA, LUIZ OTAVIO · 2016 to 2017
$365k
Stem Cell Phenotype, GLUT3 expression, and Metabolic Stress Resistance in GlioblaF32CA189647 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI HUBERT, CHRISTOPHER G · 2014 to 2016
$164k
Conselho Nacional de Desenvolvimento Científico e Tecnológico 400262/2014-2NCI NIH HHS F32 CA189647NCI NIH HHS R21 CA175875NCI NIH HHS R21 CA205475NHGRI NIH HHS R01 HG006015NIH F32 CA189647
6 · The paper itself

Abstract

Genomic analyses have become an important tool to identify new avenues for therapy. This is especially true for cancer types with extremely poor outcomes, since our lack of effective therapies offers no tangible clinical starting point to build upon. The highly malignant brain tumor glioblastoma (GBM) exemplifies such a refractory cancer, with only 15 month average patient survival. Analyses of several hundred GBM samples compiled by the TCGA (The Cancer Genome Atlas) have produced an extensive transcriptomic map, identified prevalent chromosomal alterations, and defined important driver mutations. Unfortunately, clinical trials based on these results have not yet delivered an improvement on outcome. It is, therefore, necessary to characterize other regulatory routes known for playing a role in tumor relapse and response to treatment. Alternative splicing affects more than 90% of the human coding genes and it is an important source for transcript variation and gene regulation. Mutations and alterations in splicing factors are highly prevalent in multiple cancers, demonstrating the potential for splicing to act as a tumor driver. As a result, numerous genes are expressed as cancer-specific splicing isoforms that are functionally distinct from the canonical isoforms found in normal tissue. These include genes that regulate cancer-critical pathways such as apoptosis, DNA repair, cell proliferation, and migration. Splicing defects can even induce genomic instability, a common characteristic of cancer, and a driver of tumor evolution. Importantly, components of the splicing machinery are targetable; multiple drugs can inhibit splicing factors or promote changes in splicing which could be exploited to begin improving clinical outcomes. Here, we review the current literature and present a case for exploring RNA processing as therapeutic route for the treatment of GBM.

Indexed as

Brain NeoplasmsGlioblastomaRNA Processing, Post-TranscriptionalAnimalsHumansRNA, NeoplasmRNA, Neoplasm

Identifiers

PMID28608251
PMCPMC6685205

What OpenQuestion holds

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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.