Evidence map›Paper›PMID 38948851›Full record

ArticlebioRxiv : the preprint server for biology2024

Probing the glioma micro-environment: analysis using biopsy in combination with ultra-fast cyclic immunolabeling.

Thomas S van Solinge, Juhyun Oh, Erik Abels, Peter Koch, Xandra O Breakefield, Ralph Weissleder, Marike L D Broekman

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Thomas S van SolingeDepartments of Neurology and Radiology, Massachusetts General Hospital, and Program in Neuroscience, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-3762-3618
Juhyun OhDepartment of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-4492-6978
Erik AbelsDepartments of Neurology and Radiology, Massachusetts General Hospital, and Program in Neuroscience, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-0146-3501
Peter KochCenter for Systems Biology, Massachusetts General Hospital, Boston , Massachusetts, USA.
Xandra O BreakefieldDepartments of Neurology and Radiology, Massachusetts General Hospital, and Program in Neuroscience, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-6036-0399
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Boston , Massachusetts, USA.ORCID 0000-0003-0828-4143
Marike L D BroekmanDepartments of Neurology and Radiology, Massachusetts General Hospital, and Program in Neuroscience, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Strategies to Overcome Immune Resistance in Head and Neck CancersP01CA240239 · NCI · YALE UNIVERSITY · PI PAI, SARA ISABEL · 2019 to 2023
$8.4M
The power of extracellular vesicles in glioblastomaR35CA232103 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BREAKEFIELD, XANDRA OWENS · 2018 to 2024
$6.9M
FAST-FNA immune cell profiling in HNSCCR01CA257623 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FAQUIN, WILLIAM CLAY, WEISSLEDER, MD, PHD, RALPH · 2021 to 2025
$3.3M
NCI NIH HHS P01 CA240239NCI NIH HHS R01 CA257623NCI NIH HHS R35 CA232103
6 · The paper itself

Abstract

The interaction between gliomas and the immune system is poorly understood and thus hindering development of effective immunotherapies for glioma patients. The immune response is highly variable during tumor development, and affected by therapies such as surgery, radiation, and chemotherapy. Currently, analysis of these local changes is difficult due to poor accessibility of the tumor and high-morbidity of sampling. In this study, we developed a model for repeat-biopsy in mice to study these local immunological changes over time. Using fine needle biopsy we were able to safely and repeatedly collect cells from intracranial tumors in mice. Ultra-fast cycling technology (FAST) was used for multi-cycle immunofluorescence of retrieved cells, and provided insights in the changing immune response over time. The combination of these techniques can be utilized to study changes in the immune response in glioma or other intracranial diseases over time, and in response to treatment within the same animal.

Identifiers

PMID38948851
PMCPMC11212862

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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.