Evidence map›Paper›PMID 37916170›Full record

ReviewFrontiers in oncology2023

Spatial transcriptomics in glioblastoma: is knowing the right zip code the key to the next therapeutic breakthrough?

Jack M Shireman, Lingxin Cheng, Amiti Goel, Diogo Moniz Garcia, Sanil Partha, Alfredo Quiñones-Hinojosa, Christina Kendziorski, Mahua Dey

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Jack M ShiremanDepartment of Neurosurgery, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison (UW) Carbone Cancer Center, Madison, WI, United States.
Lingxin ChengDepartment of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Amiti GoelDepartment of Neurosurgery, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison (UW) Carbone Cancer Center, Madison, WI, United States.
Diogo Moniz GarciaDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, United States.
Sanil ParthaDepartment of Neurosurgery, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison (UW) Carbone Cancer Center, Madison, WI, United States.
Alfredo Quiñones-HinojosaDepartment of Neurosurgery, Mayo Clinic, Jacksonville, FL, United States.
Christina KendziorskiDepartment of Biostatistics and Medical Informatics, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.
Mahua DeyDepartment of Neurosurgery, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison (UW) Carbone Cancer Center, Madison, WI, United States.

Funding

Statistical methods for spatial RNA sequencing experimentsR01GM102756 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI KENDZIORSKI, CHRISTINA · 2012 to 2024
$3.8M
Neuroscience Training ProgramT32NS105602 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI Ari Rosenberg · 2019 to 2026
$2.5M
Plasmacytoid Dendritic Cells in Malignant GliomaK08NS092895 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI DEY, MAHUA · 2016 to 2020
$917k
NIGMS NIH HHS R01 GM102756NINDS NIH HHS K08 NS092895NINDS NIH HHS T32 NS105602
6 · The paper itself

Abstract

Spatial transcriptomics, the technology of visualizing cellular gene expression landscape in a cells native tissue location, has emerged as a powerful tool that allows us to address scientific questions that were elusive just a few years ago. This technological advance is a decisive jump in the technological evolution that is revolutionizing studies of tissue structure and function in health and disease through the introduction of an entirely new dimension of data, spatial context. Perhaps the organ within the body that relies most on spatial organization is the brain. The central nervous system's complex microenvironmental and spatial architecture is tightly regulated during development, is maintained in health, and is detrimental when disturbed by pathologies. This inherent spatial complexity of the central nervous system makes it an exciting organ to study using spatial transcriptomics for pathologies primarily affecting the brain, of which Glioblastoma is one of the worst. Glioblastoma is a hyper-aggressive, incurable, neoplasm and has been hypothesized to not only integrate into the spatial architecture of the surrounding brain, but also possess an architecture of its own that might be actively remodeling the surrounding brain. In this review we will examine the current landscape of spatial transcriptomics in glioblastoma, outline novel findings emerging from the rising use of spatial transcriptomics, and discuss future directions and ultimate clinical/translational avenues.

Indexed as

bioinformaticscancerglioblasomapersonalized medicinespatial transcriptomics

Identifiers

PMID37916170
PMCPMC10618006

What OpenQuestion holds

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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.