Evidence map›Paper›PMID 40324324›Full record

ArticleJournal of neurosurgery. Case lessons2025

Reclassification of pineal tumor as high-grade astrocytoma with piloid features through methylation profiling: illustrative case.

Alper Dincer, Miri Kim, Zeynep Hüseyinoglu, Miguel Millares Chavez, Declan McGuone, Jennifer Moliterno

Abstract read
In one paragraph

Article in Journal of neurosurgery. Case lessons, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

6 authors.

Alper DincerDepartment of Neurosurgery, Tufts Medical Center, Boston, Massachusetts.
Miri KimDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut.
Zeynep HüseyinogluDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut.
Miguel Millares ChavezDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut.
Declan McGuoneYale Brain Tumor Center, Smilow Cancer Hospital, New Haven, Connecticut.
Jennifer MoliternoDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recent WHO 2021 CNS classification system defines new tumor types and subtypes based on molecular features. Among them, high-grade astrocytoma with piloid features (HGAP) is a glioma subtype whose classification depends on its DNA methylation profiling signature. These tumors can have a varied histological appearance and are often misclassified. OBSERVATIONS: A 41-year-old male presented with right-sided weakness and headache. MRI detected a heterogeneously enhancing mass in the pineal region. The patient underwent an endoscopic third ventriculostomy, and a biopsy sample was obtained. The pathology was initially consistent with a high-grade neuroepithelial tumor. Repeat imaging 3 weeks postoperatively demonstrated an interval increase in tumor size. He underwent a suboccipital craniectomy for gross-total resection. DNA methylation profiling was performed and was consistent with the diagnosis of HGAP. The patient was given chemoradiotherapy due to the high-grade pathology. LESSONS: Integration of molecular pathology has led to crucial and clinically relevant changes in CNS tumor classification. Utilizing these advanced diagnostic techniques to classify tumors could lead to changes in management, targeted therapeutics, and enrollment in clinical trials. https://thejns.org/doi/10.3171/CASE24778.

Indexed as

case reportHGAPhigh-grade astrocytoma with piloid featuresmethylationmolecular pathologypilocytic astrocytoma

Identifiers

PMID40324324
PMCPMC12051993

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Registered trials

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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.