Evidence map›Paper›PMID 38805346›Full record

ArticleJCI insight2024

Spatial analysis of recurrent glioblastoma reveals perivascular niche organization.

Ugoma Onubogu, Chandler D Gatenbee, Sandhya Prabhakaran, Kelsey L Wolfe, Benjamin Oakes, Roberto Salatino, Rachael Vaubel, Oszkar Szentirmai, Alexander Ra Anderson, Michalina Janiszewska

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 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

10 authors.

Ugoma OnuboguThe Skaggs Graduate School of Chemical and Biological Science, The Scripps Research Institute, La Jolla, California, USA.
Chandler D GatenbeeDepartment of Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Sandhya PrabhakaranDepartment of Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Kelsey L WolfeThe Skaggs Graduate School of Chemical and Biological Science, The Scripps Research Institute, La Jolla, California, USA.
Benjamin OakesDepartment of Molecular Medicine, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology, Jupiter, Florida, USA.
Roberto SalatinoThe Skaggs Graduate School of Chemical and Biological Science, The Scripps Research Institute, La Jolla, California, USA.
Rachael VaubelDepartment of Laboratory Medicine and Pathology, Mayo Clinic Rochester, Rochester, Minnesota, USA.
Oszkar SzentirmaiCenter for Neurological Surgery and Neuroscience, Cleveland Clinic Martin Health, Port St. Lucie, Florida, USA.
Alexander Ra AndersonDepartment of Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA.
Michalina JaniszewskaThe Skaggs Graduate School of Chemical and Biological Science, The Scripps Research Institute, La Jolla, California, USA.

Funding

Intratumor heterogeneity and therapeutic resistanceR00CA201606 · NCI · SCRIPPS FLORIDA · PI JANISZEWSKA, MICHALINA · 2018 to 2020
$852k
Intratumor heterogeneity and therapeutic resistanceK99CA201606 · NCI · DANA-FARBER CANCER INST · PI JANISZEWSKA, MICHALINA · 2016 to 2017
$252k
NCI NIH HHS K99 CA201606NCI NIH HHS R00 CA201606
6 · The paper itself

Abstract

Tumor evolution is driven by genetic variation; however, it is the tumor microenvironment (TME) that provides the selective pressure contributing to evolution in cancer. Despite high histopathological heterogeneity within glioblastoma (GBM), the most aggressive brain tumor, the interactions between the genetically distinct GBM cells and the surrounding TME are not fully understood. To address this, we analyzed matched primary and recurrent GBM archival tumor tissues with imaging-based techniques aimed to simultaneously evaluate tumor tissues for the presence of hypoxic, angiogenic, and inflammatory niches, extracellular matrix (ECM) organization, TERT promoter mutational status, and several oncogenic amplifications on the same slide and location. We found that the relationships between genetic and TME diversity are different in primary and matched recurrent tumors. Interestingly, the texture of the ECM, identified by label-free reflectance imaging, was predictive of single-cell genetic traits present in the tissue. Moreover, reflectance of ECM revealed structured organization of the perivascular niche in recurrent GBM, enriched in immunosuppressive macrophages. Single-cell spatial transcriptomics further confirmed the presence of the niche-specific macrophage populations and identified interactions between endothelial cells, perivascular fibroblasts, and immunosuppressive macrophages. Our results underscore the importance of GBM tissue organization in tumor evolution and highlight genetic and spatial dependencies.

Indexed as

Brain NeoplasmsExtracellular MatrixGlioblastomaNeoplasm Recurrence, LocalTumor MicroenvironmentFemaleHumansMacrophagesMaleMiddle AgedMutationSingle-Cell AnalysisSpatial AnalysisTelomeraseTelomeraseTERT protein, humanBrain cancerMacrophagesMolecular pathologyOncology

Identifiers

PMID38805346
PMCPMC11383164

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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.