Evidence map›Paper›PMID 38891890›Full record

ReviewInternational journal of molecular sciences2024

Unlocking Glioblastoma Vulnerabilities with CRISPR-Based Genetic Screening.

Yitong Fang, Xing Li, Ruilin Tian

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 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. Article
  2. The Role of CRISPR and Its Therapeutic Applications in Glioblastoma.International journal of molecular sciences · 2026
    Review
  3. Review
  4. Review
  5. Review
  6. Review
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.

Yitong FangDepartment of Medical Neuroscience, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China.
Xing LiDepartment of Medical Neuroscience, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China.
Ruilin TianDepartment of Medical Neuroscience, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0001-7680-6682

Funding

Guangdong Basic and Applied Basic Research Foundation 2023B1515020075National Natural Science Foundation of China 32100766National Natural Science Foundation of China 82171416National Training Program of Undergraduate Innovation and Entrepreneurship 2023S36Shenzhen Fundamental Research Program JCYJ20220530112602006Shenzhen Fundamental Research Program RCBS20210609103800006Shenzhen Fundamental Research Program RCYX20221008092845052Shenzhen Medical Research Fund A2301054Shenzhen Medical Research Fund A2303039
6 · The paper itself

Abstract

Glioblastoma (GBM) is the most common malignant brain tumor in adults. Despite advancements in treatment, the prognosis for patients with GBM remains poor due to its aggressive nature and resistance to therapy. CRISPR-based genetic screening has emerged as a powerful tool for identifying genes crucial for tumor progression and treatment resistance, offering promising targets for tumor therapy. In this review, we provide an overview of the recent advancements in CRISPR-based genetic screening approaches and their applications in GBM. We highlight how these approaches have been used to uncover the genetic determinants of GBM progression and responsiveness to various therapies. Furthermore, we discuss the ongoing challenges and future directions of CRISPR-based screening methods in advancing GBM research.

Indexed as

Brain NeoplasmsCRISPR-Cas SystemsGenetic TestingGlioblastomaAnimalsGene EditingHumansCRISPR-based genetic screeninggenetic determinantsglioblastomatherapeutic targetstherapy resistance

Identifiers

PMID38891890
PMCPMC11171782

What Socratic 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 Socratic graph.