Evidence map›Paper›PMID 42889918›Full record

ArticleNeuro-oncology advances

Genomic and clinical determinants of local and distant intracranial progression following surgical resection of brain metastases.

Neslihan Nisa Gecici, Ahmed Habib, Walaa Hamza, Maged T Ghoche, Rivka R Colen, Kalil G Abdullah, Pascal O Zinn

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Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Neslihan Nisa GeciciDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0009-0003-5315-8362
Ahmed HabibDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Walaa HamzaDepartment of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Maged T GhocheDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Rivka R ColenDepartment of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Kalil G AbdullahDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-5662-0829
Pascal O ZinnDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-0091-5887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The role of molecular alterations in predicting local and distant progression following brain metastasis resection is poorly understood. In this study, we investigated clinical and molecular predictors of intracranial progression following brain metastasis resection. Methods: A retrospective analysis of 228 patients who underwent brain metastasis resection at the University of Pittsburgh Medical Center was performed. Tumor specimens underwent next-generation sequencing using the UPMC Oncomine Comprehensive Assay. Bootstrap forest analysis was used to identify top genetic predictors by variable importance for local and distant progression. Cox proportional hazards models were used to identify independent predictors. Results: Local progression occurred in 110 patients (48.2%) and distant progression in 98 patients (43%). The most frequent genetic alterations were TP53 mutations (61.6%), KRAS mutations (31.2%), and CDKN2A/B copy number alterations (24.6%, 23.2%). For local progression, bootstrap forest analysis identified PTEN, STK11, KRAS, FGF3, and ATM alterations as top predictors. On multivariable analysis adjusting for primary malignancy type, independent predictors of local progression included RB1 mutations (HR 3.03, Conclusion: These findings suggest that integrating molecular profiling with clinical factors may contribute to intracranial progression risk stratification after brain metastasis resection, though expansion of the dataset with histology-stratified analyses is warranted to confirm these observations.

Indexed as

brain metastasisgenomicintracranial progressionlocal controlnext-generation sequencing

Identifiers

PMID42889918
PMCPMC13671759

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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.