Evidence map›Paper›PMID 39015773›Full record

ReviewFrontiers in genetics2024

Glioblastoma stem cell long non-coding RNAs: therapeutic perspectives and opportunities.

Rasmani Hazra, Rinku Debnath, Arati Tuppad

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  3. Review
  4. Review
  5. Article
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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

3 authors.

Rasmani HazraUniversity of New Haven, Biology and Environmental Science Department, West Haven, CT, United States.
Rinku DebnathDepartment of Biotechnology, Indian Institute of Technology Madras, Chennai, India.
Arati TuppadUniversity of New Haven, Biology and Environmental Science Department, West Haven, CT, United States.

Funding

Unlocking the Potential of the GSC-Associated lncRNA GIHCG as a Therapeutic Target in GlioblastomaR16NS147984 · NINDS · UNIVERSITY OF NEW HAVEN · PI RASMANI HAZRA · 2025 to 2026
$261k
Deciphering the role of the novel long non-coding RNA LINC01896 in glioblastoma multiformeR03NS142535 · NINDS · UNIVERSITY OF NEW HAVEN · PI RASMANI HAZRA · 2026 to 2026
$139k
NINDS NIH HHS R03 NS142535NINDS NIH HHS R16 NS147984
6 · The paper itself

Abstract

Glioblastoma poses a formidable challenge among primary brain tumors: its tumorigenic stem cells, capable of self-renewal, proliferation, and differentiation, contribute substantially to tumor initiation and therapy resistance. These glioblastoma stem cells (GSCs), resembling conventional stem and progenitor cells, adopt pathways critical for tissue development and repair, promoting uninterrupted tumor expansion. Long non-coding RNAs (lncRNAs), a substantial component of the human transcriptome, have garnered considerable interest for their pivotal roles in normal physiological processes and cancer pathogenesis. They display cell- or tissue-specific expression patterns, and extensive investigations have highlighted their impact on regulating GSC properties and cellular differentiation, thus offering promising avenues for therapeutic interventions. Consequently, lncRNAs, with their ability to exert regulatory control over tumor initiation and progression, have emerged as promising targets for innovative glioblastoma therapies. This review explores notable examples of GSC-associated lncRNAs and elucidates their functional roles in driving glioblastoma progression. Additionally, we delved deeper into utilizing a 3D

Indexed as

3D in vitro modelcancer stem cellsglioblastomaglioblastoma stem cellslncRNAslong non-coding RNAstherapeutic targets

Identifiers

PMID39015773
PMCPMC11249581

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.