Evidence map›Paper›PMID 36788070›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2023

Highly Multiplexed Spatially Resolved Proteomic and Transcriptional Profiling of the Glioblastoma Microenvironment Using Archived Formalin-Fixed Paraffin-Embedded Specimens.

Youngmi Kim, Patrick Danaher, Patrick J Cimino, Kyle Hurth, Sarah Warren, John Glod, Joseph M Beechem, Gabriel Zada, Troy A McEachron

Open access · hybridAbstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Youngmi KimNanoString Technologies, Seattle, Washington.
Patrick DanaherNanoString Technologies, Seattle, Washington.
Patrick J CiminoDepartment of Laboratory Medicine and Pathology, Division of Neuropathology, University of Washington, Seattle, Washington; Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland.
Kyle HurthDepartment of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California.
Sarah WarrenNanoString Technologies, Seattle, Washington.
John GlodPediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Joseph M BeechemNanoString Technologies, Seattle, Washington.
Gabriel ZadaDepartment of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California.
Troy A McEachronPediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: Troy.McEachron@nih.gov.
Nanostring Technologies (United States) · USNational Institutes of Health · USUniversity of Southern California · US

Funding

Identification of immune evasion mechanisms in the osteosarcoma microenvironmentZIABC012056 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MCEACHRON, TROY · 2021 to 2025
$6.4M
Intramural NIH HHS ZIA BC012056
6 · The paper itself

Abstract

Glioblastoma is a heterogeneous tumor for which effective treatment options are limited and often insufficient. Few studies have examined the intratumoral transcriptional and proteomic heterogeneity of the glioblastoma microenvironment to characterize the spatial distribution of potential molecular and cellular therapeutic immunooncology targets. We applied an integrated multimodal approach comprised of NanoString GeoMx Digital Spatial Profiling, single-cell RNA-seq (scRNA-seq), and expert neuropathologic assessment to characterize archival formalin-fixed paraffin-embedded glioblastoma specimens. Clustering analysis and spatial cluster maps highlighted the intratumoral heterogeneity of each specimen. Mixed cell deconvolution analysis revealed that neoplastic and vascular cells were the prominent cell types throughout each specimen, with macrophages, oligodendrocyte precursors, neurons, astrocytes, and oligodendrocytes present in lower abundance and illustrated the regional distribution of the respective cellular enrichment scores. The spatial resolution of the actionable immunotherapeutic landscape showed that robust B7H3 gene and protein expression was broadly distributed throughout each specimen and identified STING and VISTA as potential targets. Lastly, we uncovered remarkable variability in VEGFA expression and discovered unanticipated associations between VEGFA, endothelial cell markers, hypoxia, and the expression of immunoregulatory genes, indicative of regionally distinct immunosuppressive microdomains. This work provides an early demonstration of the ability of an integrated panel-based spatial biology approach to characterize and quantify the intrinsic molecular heterogeneity of the glioblastoma microenvironment.

Indexed as

GlioblastomaFormaldehydeGene Expression ProfilingHumansParaffin EmbeddingProteomicsTumor MicroenvironmentFormaldehydeglioblastomamicroenvironmentspatial profiling

Identifiers

PMID36788070
PMCPMC9937641
OpenAlexW4317107474

What OpenQuestion holds

Textmetadata
LicenceTDM
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.