Evidence map›Paper›PMID 38760612›Full record

ReviewOncology and therapy2024

Gene Therapy for Neurofibromatosis Type 2-Related Schwannomatosis: Recent Progress, Challenges, and Future Directions.

Ruofei Yuan, Bo Wang, Ying Wang, Pinan Liu

Abstract readReview
In one paragraph

Review in Oncology and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

Ruofei YuanDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Bo WangDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China.
Ying WangDepartment of Neural Reconstruction, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Pinan LiuDepartment of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University, No. 119 South Fourth Ring West Road, Fengtai District, Beijing, 100070, China. pinanliu@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-6479-7376

Funding

Beijing Municipal Natural Science Foundation L222015National Natural Science Foundation of China 81974387National Natural Science Foundation of China 82373451Platform Construction of Basic Research and Clinical Translation of Nervous System Injury(2020) PXM2020_026280_000002
6 · The paper itself

Abstract

Neurofibromatosis type 2 (NF2)-related schwannomatosis is a rare autosomal dominant monogenic disorder caused by mutations in the NF2 gene. The hallmarks of NF2-related schwannomatosis are bilateral vestibular schwannomas (VS). The current treatment options for NF2-related schwannomatosis, such as observation with serial imaging, surgery, radiotherapy, and pharmacotherapies, have shown limited effectiveness and serious complications. Therefore, there is a critical demand for novel effective treatments. Gene therapy, which has made significant advancements in treating genetic diseases, holds promise for the treatment of this disease. This review covers the genetic pathogenesis of NF2-related schwannomatosis, the latest progress in gene therapy strategies, current challenges, and future directions of gene therapy for NF2-related schwannomatosis.

Indexed as

Gene mutationGene therapyMerlinNeurofibromatosis type 2 (NF2)-related schwannomatosisNF2 geneVestibular schwannoma (VS)Viral vector

Identifiers

PMID38760612
PMCPMC11187037

What OpenQuestion holds

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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.