Evidence map›Paper›PMID 41769416›Full record

ReviewNeuro-oncology advances2026

Single-cell transcriptomic profiling of malignant peripheral nerve sheath tumors.

Chloe Gui, Severa Bunda, Mira Li, Olivia Singh, Gelareh Zadeh, Suganth Suppiah

Abstract readReview
In one paragraph

Review in Neuro-oncology advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Chloe GuiMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto (C.G., S.B., M.L., S.S.).ORCID https://orcid.org/0000-0002-6685-1970
Severa BundaMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto (C.G., S.B., M.L., S.S.).
Mira LiMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto (C.G., S.B., M.L., S.S.).
Olivia SinghDepartment of Neurosurgery, Mayo Clinic, Rochester (O.S., G.Z.).
Gelareh ZadehDepartment of Neurosurgery, Mayo Clinic, Rochester (O.S., G.Z.).
Suganth SuppiahDivision of Neurosurgery, Department of Surgery, University of Toronto, Toronto (C.G., S.S.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive sarcomas arising from Schwann cells and characterized by marked cellular and molecular heterogeneity. Although bulk multi-omic studies have provided valuable insights into MPNST biology, recent advances in single-cell profiling have deepened our understanding of the tumor microenvironment and molecular mechanisms underlying malignant transformation. Single cell analyses have revealed distinct Schwann cell-like, malignant neural crest-like, immune, and stromal cellular subpopulations within MPNSTs and their precursor lesions. Comparative profiling of MPNSTs, neurofibromas, and atypical neurofibromatous neoplasms of uncertain biologic potential, suggest that MPNST progression involves Schwann cell dedifferentiation into a more primitive, stem-like state. In this review, we summarize key discoveries from single-cell characterization studies, and discuss how these findings illuminate MPNST tumorigenesis, cellular plasticity, and potential therapeutic vulnerabilities.

Indexed as

malignant peripheral nerve sheath tumorMPNSTneurofibromaneurofibromatosissingle-cell

Identifiers

PMID41769416
PMCPMC12946761

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.