Evolving concepts in meningioma management in the era of genomics Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1002/cncr.35279
Meningioma is the most common type of primary brain tumor. Surgical resection followed by surveillance is the first‐line treatment for the majority of symptomatic meningiomas; however, recent advances in molecular sequencing, DNA methylation, proteomics, and single‐cell sequencing provide insights into further characterizing this heterogeneous group of tumors with a wide range of prognoses. A subset of these tumors are highly aggressive and cause severe morbidity and mortality. Therefore, identifying those individuals with a poor prognosis and intervening are critical. This review aims to help readers interpret the molecular profiling of meningiomas to identify patients with worse prognoses and guide the management and strategy for surveillance.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1002/cncr.35279
- OA Status
- green
- Cited By
- 5
- References
- 159
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396977074
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396977074Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/cncr.35279Digital Object Identifier
- Title
-
Evolving concepts in meningioma management in the era of genomicsWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-16Full publication date if available
- Authors
-
Annie L. Hsieh, Wenya Linda Bi, Vijaya Ramesh, Priscilla K. Brastianos, Scott R. PlotkinList of authors in order
- Landing page
-
https://doi.org/10.1002/cncr.35279Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/11260245Direct OA link when available
- Concepts
-
Medicine, Meningioma, Genomics, DNA methylation, DNA sequencing, Profiling (computer programming), Surgical resection, Bioinformatics, Computational biology, Oncology, Intensive care medicine, Internal medicine, Pathology, Genome, Gene, Biology, Genetics, Gene expression, Operating system, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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159Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.majority | 22 |
| abstract_inverted_index.patients | 94 |
| abstract_inverted_index.strategy | 103 |
| abstract_inverted_index.critical. | 79 |
| abstract_inverted_index.interpret | 86 |
| abstract_inverted_index.molecular | 30, 88 |
| abstract_inverted_index.morbidity | 65 |
| abstract_inverted_index.profiling | 89 |
| abstract_inverted_index.prognoses | 97 |
| abstract_inverted_index.prognosis | 75 |
| abstract_inverted_index.resection | 12 |
| abstract_inverted_index.treatment | 19 |
| abstract_inverted_index.Meningioma | 1 |
| abstract_inverted_index.Therefore, | 68 |
| abstract_inverted_index.aggressive | 61 |
| abstract_inverted_index.management | 101 |
| abstract_inverted_index.mortality. | 67 |
| abstract_inverted_index.prognoses. | 53 |
| abstract_inverted_index.sequencing | 37 |
| abstract_inverted_index.identifying | 69 |
| abstract_inverted_index.individuals | 71 |
| abstract_inverted_index.intervening | 77 |
| abstract_inverted_index.meningiomas | 91 |
| abstract_inverted_index.proteomics, | 34 |
| abstract_inverted_index.sequencing, | 31 |
| abstract_inverted_index.symptomatic | 24 |
| abstract_inverted_index.first‐line | 18 |
| abstract_inverted_index.meningiomas; | 25 |
| abstract_inverted_index.methylation, | 33 |
| abstract_inverted_index.surveillance | 15 |
| abstract_inverted_index.heterogeneous | 44 |
| abstract_inverted_index.single‐cell | 36 |
| abstract_inverted_index.surveillance. | 105 |
| abstract_inverted_index.characterizing | 42 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5058008885, https://openalex.org/A5059797681 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I136199984, https://openalex.org/I4210087915 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.90210575 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |